Available regions, deployment templates and instance configurationsedit
Click any row to view the details for that region.
Google Cloud Platformedit
Taiwan (asia-east1), gcp-asia-east1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized-v2 |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense-v2 |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose-v2 |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-cpu-optimized-v2 |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Tokyo (asia-northeast1), gcp-asia-northeast1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Seoul (asia-northeast3), gcp-asia-northeast3
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized-v2 |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense-v2 |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose-v2 |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-cpu-optimized-v2 |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
data.frozen |
An instance configuration to be used for high storage Elasticsearch frozen data tier nodes |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Mumbai (asia-south1), gcp-asia-south1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Singapore (asia-southeast1), gcp-asia-southeast1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Sydney (australia-southeast1), gcp-australia-southeast1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Finland (europe-north1), gcp-europe-north1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Belgium (europe-west1), gcp-europe-west1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.ingest.1 |
An Elasticsearch ingest instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinator.1 |
An Elasticsearch coordinator instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
London (europe-west2), gcp-europe-west2
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Frankfurt (europe-west3), gcp-europe-west3
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.ingest.1 |
An Elasticsearch ingest instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinator.1 |
An Elasticsearch coordinator instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Netherlands (europe-west4), gcp-europe-west4
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Montreal (northamerica-northeast1), gcp-northamerica-northeast1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.ingest.1 |
An Elasticsearch ingest instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinator.1 |
An Elasticsearch coordinator instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Sao Paulo (southamerica-east1), gcp-southamerica-east1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n1.64x10x95 |
Data nodes running on GCP n1 VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Iowa (us-central1), gcp-us-central1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.ingest.1 |
An Elasticsearch ingest instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinator.1 |
An Elasticsearch coordinator instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
South Carolina (us-east1), gcp-us-east1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
N. Virginia (us-east4), gcp-us-east4
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Oregon (us-west1), gcp-us-west1
Available templates
| Template ID | Name | Description |
|---|---|---|
gcp-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
gcp-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
gcp-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
gcp-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
gcp-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
gcp-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
gcp-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
gcp-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
gcp-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
gcp-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
gcp-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
gcp-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
gcp-io-optimized-v2 |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
gcp-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
gcp.es.datahot.n2.68x32x45 |
CPU-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.coordinating.n2.68x16x45 |
General purpose Elasticsearch instance serving as a coordinating node. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.data.highio.1 |
An I/O optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.master.n2.68x32x45 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.datawarm.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ml.1 |
An Elasticsearch machine learning instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highstorage.1 |
A storage optimized Elasticsearch instance. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinating.1 |
An Elasticsearch coordinating instance. |
1024, 2048, 4096, 8192 |
gcp.ingest.1 |
An Elasticsearch ingest instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.master.1 |
An Elasticsearch master eligible instance. |
1024, 2048, 4096, 8192, 16384 |
gcp.es.ml.n2.68x16x45 |
General purpose Elasticsearch instance serving as ML nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.coordinator.1 |
An Elasticsearch coordinator instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x16x45 |
General purpose Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2d.64x8x95 |
Data nodes running on GCP n2d VM family that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
gcp.es.datahot.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datahot.n2.68x10x45 |
Storage-optimized Elasticsearch instances for hot data. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datafrozen.n2.68x10x95 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on GCP’s n2 family. |
4096, 8192, 16384, 32768, 65536 |
gcp.data.highcpu.1 |
A CPU optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.data.highmem.1 |
A memory optimized Elasticsearch instance. |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
gcp.es.datacold.n2.68x10x190 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384, 32768, 65536 |
gcp.ccs.1 |
A cross cluster search optimized Elasticsearch instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.1 |
A Kibana instance. |
1024, 2048, 4096, 8192 |
gcp.kibana.n2.68x32x45 |
CPU-optimized instances serving as kibana nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.n2.68x32x45 |
CPU-optimized instances serving as apm nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.apm.1 |
An APM instance. |
512, 1024, 2048, 4096, 8192 |
gcp.integrationsserver.n2.68x32x45 |
CPU-optimized instances serving as Integrations Server nodes. Based on GCP’s n2 family. |
1024, 2048, 4096, 8192 |
gcp.integrationsserver.1 |
An Integrations Server instance. |
512, 1024, 2048, 4096, 8192 |
gcp.appsearch.1 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.1 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
gcp.enterprisesearch.n2.68x32x45 |
CPU-optimized instances serving as Enterprise Search nodes. Based on GCP’s n2 family. |
2048, 4096, 8192, 16384 |
Amazon Web Servicesedit
Tokyo (ap-northeast-1), ap-northeast-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Singapore (ap-southeast-1), ap-southeast-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-storage-optimized-v2 |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense-v2 |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose-v2 |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v2 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-v2 |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Sydney (ap-southeast-2), ap-southeast-2
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Cape Town (af-south-1), aws-af-south-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Hong Kong (ap-east-1), aws-ap-east-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Seoul (ap-northeast-2), aws-ap-northeast-2
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Mumbai (ap-south-1), aws-ap-south-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Canada (ca-central-1), aws-ca-central-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v4 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v3 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Frankfurt (eu-central-1), aws-eu-central-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Milan (eu-south-1), aws-eu-south-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
London (eu-west-2), aws-eu-west-2
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v4 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v4 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm-v3 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm-v4 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-enterprise-search-dedicated-v4 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.data.highstorage.i3en |
A storage optimized Elasticsearch instance running on an AWS i3en. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Paris (eu-west-3), aws-eu-west-3
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Bahrain (me-south-1), aws-me-south-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Ohio (us-east-2), aws-us-east-2
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.ingest.m5d |
An Elasticsearch ingest instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r5d |
An Elasticsearch coordinator instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highstorage.d3 |
A storage optimized Elasticsearch instance running on an AWS d3. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Ireland (eu-west-1), eu-west-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d3 |
A storage optimized Elasticsearch instance running on an AWS d3. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Sao Paulo (sa-east-1), sa-east-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v3 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
aws-io-optimized |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.data.highstorage.i3en |
A storage optimized Elasticsearch instance running on an AWS i3en. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
N. Virginia (us-east-1), us-east-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d3 |
A storage optimized Elasticsearch instance running on an AWS d3. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
N. California (us-west-1), us-west-1
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datawarm.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datacold.d2 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d2 family. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Oregon (us-west-2), us-west-2
Available templates
| Template ID | Name | Description |
|---|---|---|
aws-compute-optimized-v3 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
aws-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
aws-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
aws-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-memory-optimized-v3 |
Memory Optimized |
Best for small data sets and low query loads. |
aws-storage-optimized-dense |
Storage optimized (dense) |
Ideal for ingestion use cases with more than 10 days of data available for fast access. Also good for light search use cases with very large data sets. |
aws-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm-v3 |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-general-purpose-arm |
General purpose (ARM) |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
aws-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm-v3 |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-arm |
CPU optimized (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm |
CPU optimized faster warm |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm-v2 |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-cpu-optimized-faster-warm-arm |
CPU optimized faster warm (ARM) |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
aws-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
aws-appsearch-dedicated-v2 |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-appsearch-dedicated |
App Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-cross-cluster-search-v2 |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
aws-enterprise-search-dedicated-v2 |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
aws-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
aws-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
aws.es.datahot.m5d |
General purpose Elasticsearch instances for hot data. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.i3 |
Storage-optimized Elasticsearch instances for hot data. Based on AWS’s i3 family. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.coordinating.m5d |
An Elasticsearch coordinating instance running on an AWS m5d. |
1024, 2048, 4096, 8192 |
aws.es.datawarm.i3en |
Storage-optimized (dense) Elasticsearch instances for warm data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m6gd |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.c6gd |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinating.m5 |
An Elasticsearch coordinating instance running on an AWS m5. |
1024, 2048, 4096, 8192 |
aws.data.highmem.r5d |
A memory optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m6gd |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highmem.r4 |
A memory optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.ml.m5d |
General purpose Elasticsearch instance serving as ML nodes. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d3 |
A storage optimized Elasticsearch instance running on an AWS d3. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.master.r5d |
An Elasticsearch master eligible instance running on an AWS r5d. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datacold.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ingest.m5 |
An Elasticsearch ingest instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.master.r4 |
An Elasticsearch master eligible instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360 |
aws.ml.m5 |
An Elasticsearch machine learning instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.data.highstorage.d2 |
A storage optimized Elasticsearch instance running on an AWS d2. |
2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datahot.c5d |
CPU-optimized Elasticsearch instances for hot data. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408, 34816, 69632 |
aws.es.datawarm.d3 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on AWS’s d3 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r5d |
A cross cluster search optimized Elasticsearch instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.es.datacold.i3en |
Storage-optimized (dense) Elasticsearch instances for cold data. Based on AWS’s i3en family. |
2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.coordinating.m5d |
General purpose Elasticsearch instance serving as a coordinating node. Based on AWS’s m5d family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.master.c6gd |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192, 15360 |
aws.es.datahot.i3en |
Storage-optimized (dense) Elasticsearch instances for hot data. Based on AWS’s i3en family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ml.m5d |
An Elasticsearch machine learning instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.ccs.r4 |
A cross cluster search optimized Elasticsearch instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.data.highio.i3 |
An I/O optimized Elasticsearch instance running on an AWS i3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.es.datafrozen.i3en |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on AWS’s i3en family. |
4096, 8192, 15360, 30720, 61440 |
aws.es.datahot.m6gd |
General purpose Elasticsearch instances for hot data. Based on AWS’s m6gd family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.coordinator.r4 |
An Elasticsearch coordinator instance running on an AWS r4. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
aws.data.highcpu.m5 |
A CPU optimized Elasticsearch instance running on an AWS m5. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.es.master.c5d |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192, 17408 |
aws.data.highcpu.m5d |
A CPU optimized Elasticsearch instance running on an AWS m5d. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
aws.kibana.r5d |
A Kibana instance running on an AWS r5d. |
1024, 2048, 4096, 8192 |
aws.kibana.r4 |
A Kibana instance running on an AWS r4. |
1024, 2048, 4096, 8192 |
aws.kibana.c6gd |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.kibana.c5d |
CPU-optimized instances serving as Kibana nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.c5d |
CPU-optimized instances serving as APM nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.apm.r5d |
An APM instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.apm.c6gd |
CPU-optimized instances serving as APM nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.apm.r4 |
An APM instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c6gd |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c6gd family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r5d |
An Integrations Server instance running on an AWS r5d. |
512, 1024, 2048, 4096, 8192 |
aws.integrationsserver.c5d |
CPU-optimized instances serving as Integrations Server nodes. Based on AWS’s c5d family. |
1024, 2048, 4096, 8192 |
aws.integrationsserver.r4 |
An Integrations Server instance running on an AWS r4. |
512, 1024, 2048, 4096, 8192 |
aws.appsearch.m5 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.appsearch.m5d |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
aws.enterprisesearch.c6gd |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c6gd family. |
2048, 4096, 8192, 15360 |
aws.enterprisesearch.c5d |
CPU-optimized instances serving as Enterprise Search nodes. Based on AWS’s c5d family. |
2048, 4096, 8192, 17408 |
aws.enterprisesearch.m5d |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Azureedit
New South Wales (australiaeast), azure-australiaeast
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Sao Paulo (brazilsouth), azure-brazilsouth
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
data.frozen |
An instance configuration to be used for high storage Elasticsearch frozen data tier nodes |
4096, 8192, 16384, 32768, 65536 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highio.l32s |
An I/O optimized Elasticsearch instance running on an Azure L32s. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
integrations.server |
Instance configuration to be used for Integrations Server |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Toronto (canadacentral), azure-canadacentral
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
data.frozen |
An instance configuration to be used for high storage Elasticsearch frozen data tier nodes |
4096, 8192, 16384, 32768, 65536 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highio.l32s |
An I/O optimized Elasticsearch instance running on an Azure L32s. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
integrations.server |
Instance configuration to be used for Integrations Server |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Pune (centralindia), azure-centralindia
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
data.frozen |
An instance configuration to be used for high storage Elasticsearch frozen data tier nodes |
4096, 8192, 16384, 32768, 65536 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highio.l32s |
An I/O optimized Elasticsearch instance running on an Azure L32s. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
integrations.server |
Instance configuration to be used for Integrations Server |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Iowa (centralus), azure-centralus
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.esv3 |
Data nodes running on Azure Es_v3 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Virginia (eastus), azure-eastus
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Virginia (eastus2), azure-eastus2
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.appsearch.d64v3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Paris (francecentral), azure-francecentral
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.esv3 |
Data nodes running on Azure Es_v3 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Tokyo (japaneast), azure-japaneast
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highio.l32s |
An I/O optimized Elasticsearch instance running on an Azure L32s. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Ireland (northeurope), azure-northeurope
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Johannesburg (southafricanorth), azure-southafricanorth
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
data.frozen |
An instance configuration to be used for high storage Elasticsearch frozen data tier nodes |
4096, 8192, 16384, 32768, 65536 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highio.l32s |
An I/O optimized Elasticsearch instance running on an Azure L32s. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
integrations.server |
Instance configuration to be used for Integrations Server |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Texas (southcentralus), azure-southcentralus
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
coordinating |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
enterprise.search |
The instance configuration to be used for Elastic Enterprise Search nodes |
2048, 4096, 8192 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Singapore (southeastasia), azure-southeastasia
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
London (uksouth), azure-uksouth
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-hot-warm-v2 |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-observability-v2 |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security-v2 |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
coordinator |
Instance configuration to be used for dedicated request coordination instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
data.highstorage |
Instance configuration to be used for a higher disk/memory ratio |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
master |
Instance configuration to be used for dedicated masters |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
ingest |
Instance configuration to be used for dedicated ingest instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
ml |
Instance configuration to be used for ML instances |
1024, 2048, 4096, 8192, 16384, 32768, 65536 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highio.e32sv3 |
An I/O optimized Elasticsearch instance running on an Azure E32s with 8 P30 disks attached. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
kibana |
Instance configuration to be used for Kibana |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
apm |
Instance configuration to be used for APM |
512, 1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
appsearch |
The instance configuration to be used for AppSearch nodes running as both app server and worker |
2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Netherlands (westeurope), azure-westeurope
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |
Washington (westus2), azure-westus2
Available templates
| Template ID | Name | Description |
|---|---|---|
azure-compute-optimized |
Compute Optimized |
Designed for search-heavy workloads. |
azure-compute-optimized-v2 |
Compute Optimized |
Designed for search-heavy workloads. |
azure-general-purpose |
General purpose |
Suitable for ingestion use cases with 5-7 days of data available for fast access. Also good for search workloads with less-frequent indexing and medium to high querying loads. Provides a balance of storage, memory, and CPU. |
azure-memory-optimized-v2 |
Memory Optimized |
Best for small data sets and low query loads. |
azure-memory-optimized |
Memory Optimized |
Best for small data sets and low query loads. |
azure-storage-optimized |
Storage optimized |
Good for most ingestion use cases with 7-10 days of data available for fast access. Also good for light search use cases without heavy indexing or CPU needs. |
azure-cpu-optimized |
CPU optimized |
Suitable for ingestion use cases with 1-4 days of data available for fast access and for search use cases with indexing and querying workloads. Provides the most CPU resources per unit of RAM. |
azure-hot-warm |
Hot-Warm Architecture |
Useful for time-series analytics that benefit from automatic index curation. |
azure-appsearch-dedicated |
App Search |
Easily implement powerful search experiences for your website, app, or workplace with refined APIs and tools. |
azure-cross-cluster-search |
Cross Cluster Search |
Search data across one or more associated remote deployments. |
azure-enterprise-search-dedicated |
Enterprise Search |
Add a search experience to your website, applications, or search the apps you use at work. |
azure-observability |
Observability |
Use logs, metrics, and APM data to monitor and react to to events in your environment. |
azure-security |
Security |
Prevent, detect, and respond to threats with SIEM, endpoint security, and threat hunting. |
azure-io-optimized-v2 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
azure-io-optimized |
I/O Optimized |
Use for for all-purpose workloads, including time-series data like logs and metrics. |
azure-io-optimized-v3 |
I/O Optimized |
Ideal for time-series data, such as logs and metrics. |
Available Instances
| Instance ID | Description | Available Memory Sizes(MBytes) |
|---|---|---|
azure.es.coordinating.fsv2 |
General purpose Elasticsearch instance serving as a coordinating node. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.es.datahot.ddv4 |
General purpose Elasticsearch instances for hot data. Based on Azure’s ddv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highstorage.e16sv3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16s_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datafrozen.edsv4 |
Storage-optimized (dense) Elasticsearch instances serving as a cache tier for frozen data. Based on Azure’s edsv4 family. |
4096, 8192, 15360, 30720, 61440 |
azure.ml.d64sv3 |
An Elasticsearch machine learning instance running on an Azure D64sv3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.ml.fsv2 |
General purpose Elasticsearch instance serving as ML nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.master.fsv2 |
CPU-optimized Elasticsearch instances serving as master-eligible nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360 |
azure.coordinating.d64sv3 |
An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3. |
1024, 2048, 4096, 8192 |
azure.es.datahot.fsv2 |
CPU-optimized Elasticsearch instances for hot data. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datafrozen.lsv2 |
Data nodes running on Azure Ls_v2 that acts as a cache for the frozen tier. |
4096, 8192, 15360, 30720, 61440 |
azure.data.highcpu.d64sv3 |
A CPU optimized Elasticsearch instance running on an Azure Standard_D64s_v3 |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.master.e32sv3 |
An Elasticsearch master eligible instance running on an Azure E32sV3. |
1024, 2048, 4096, 8192, 15360 |
azure.data.highstorage.e16v3 |
Instance configuration to be used for a higher disk/memory ratio, based on Azure Standard_E16_v3. |
2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datacold.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for cold data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.data.highmem.e32sv3 |
A memory optimized Elasticsearch instance running on an Azure Standard_E32s_v3. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.data.highio.l32sv2 |
An I/O optimized Elasticsearch instance running on an Azure L32sv2. |
1024, 2048, 4096, 8192, 15360, 29696, 59392 |
azure.es.datahot.edsv4 |
Storage-optimized Elasticsearch instances for hot data. Based on Azure’s edsv4 family. |
1024, 2048, 4096, 8192, 15360, 30720, 61440 |
azure.es.datawarm.edsv4 |
Storage-optimized (dense HDD) Elasticsearch instances for warm data. Based on Azure’s edsv4 family. |
2048, 4096, 8192, 15360, 30720, 61440 |
azure.ccs.e32sv3 |
A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.kibana.fsv2 |
CPU-optimized instances serving as Kibana nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.kibana.e32sv3 |
An Kibana instance running on an Azure E32sV3 |
1024, 2048, 4096, 8192 |
azure.apm.fsv2 |
CPU-optimized instances serving as APM nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.apm.e32sv3 |
An APM instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.integrationsserver.fsv2 |
CPU-optimized instances serving as Integrations Server nodes. Based on Azure’s fsv2 family. |
1024, 2048, 4096, 8192 |
azure.integrationsserver.e32sv3 |
An Integrations Server instance running on an Azure E32sV3 |
512, 1024, 2048, 4096, 8192 |
azure.appsearch.d64sv3 |
A CPU optimized App Search instance. |
2048, 4096, 8192 |
azure.enterprisesearch.fsv2 |
CPU-optimized instances serving as Enterprise Search nodes. Based on Azure’s fsv2 family. |
2048, 4096, 8192, 15360 |
azure.enterprisesearch.d64sv3 |
A CPU optimized Elastic Enterprise Search instance. |
2048, 4096, 8192 |