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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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-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.

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.

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.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

Azureedit

New South Wales (australiaeast), azure-australiaeast

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.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.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.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.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.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.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.e32sv3

An APM 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

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-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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.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.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.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.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.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.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.e32sv3

An APM 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

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-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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.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.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.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.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.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.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.e32sv3

An APM 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

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-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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.ml.d64sv3

An Elasticsearch machine learning instance running on an Azure D64sv3

1024, 2048, 4096, 8192, 15360, 30720, 61440

azure.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.ccs.e32sv3

A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.kibana.e32sv3

An Kibana instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.apm.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Paris (francecentral), azure-francecentral

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

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

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.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.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.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.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.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Tokyo (japaneast), azure-japaneast

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

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

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.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.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.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.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.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Ireland (northeurope), azure-northeurope

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

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

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.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.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.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.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.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Texas (southcentralus), azure-southcentralus

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.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.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.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.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.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.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.e32sv3

An APM instance running on an Azure E32sV3

512, 1024, 2048, 4096, 8192

azure.appsearch.d64sv3

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

azure.enterprisesearch.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Singapore (southeastasia), azure-southeastasia

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.ml.d64sv3

An Elasticsearch machine learning instance running on an Azure D64sv3

1024, 2048, 4096, 8192, 15360, 30720, 61440

azure.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.ccs.e32sv3

A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.kibana.e32sv3

An Kibana instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.apm.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

London (uksouth), azure-uksouth

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

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

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.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.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.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.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.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Netherlands (westeurope), azure-westeurope

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.ml.d64sv3

An Elasticsearch machine learning instance running on an Azure D64sv3

1024, 2048, 4096, 8192, 15360, 30720, 61440

azure.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.ccs.e32sv3

A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.kibana.e32sv3

An Kibana instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.apm.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

Washington (westus2), azure-westus2

Available templates

Template ID Name Description

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.

azure-compute-optimized

Compute Optimized

Designed for search-heavy workloads.

azure-compute-optimized-v2

Compute Optimized

Designed for search-heavy workloads.

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-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.

Available Instances

Instance ID Description Available Memory Sizes(MBytes)

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.ml.d64sv3

An Elasticsearch machine learning instance running on an Azure D64sv3

1024, 2048, 4096, 8192, 15360, 30720, 61440

azure.coordinating.d64sv3

An Elasticsearch coordinating instance running on an Azure Standard_D64s_v3.

1024, 2048, 4096, 8192

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.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.ccs.e32sv3

A cross cluster search optimized Elasticsearch instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.kibana.e32sv3

An Kibana instance running on an Azure E32sV3

1024, 2048, 4096, 8192

azure.apm.e32sv3

An APM 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.d64sv3

A CPU optimized Elastic Enterprise Search instance.

2048, 4096, 8192

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

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

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-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-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.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.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.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.r4

An APM 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

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-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-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.

aws-cpu-optimized-arm-v2

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-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-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.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.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.r4

An APM 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

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

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

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-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-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.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.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.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.r4

An APM 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

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-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-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.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.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.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.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-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-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.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.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.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

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-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-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.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.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.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

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-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-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-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.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.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.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

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

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-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-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.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.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.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

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

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

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

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-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-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.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.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.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.r4

An APM 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

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-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-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.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.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.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.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-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-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

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

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.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.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.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.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

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.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.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

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-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-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.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

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.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.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-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-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.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.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.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.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

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

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-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-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.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

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.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

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

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

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-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-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.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.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.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.r4

An APM 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

Sao Paulo (sa-east-1), sa-east-1

Available templates

Template ID Name Description

aws-io-optimized

I/O Optimized

Ideal for time-series data, such as logs and metrics.

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.

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.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

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

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-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-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.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.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.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.r4

An APM 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. 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

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

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-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-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.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.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.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.r4

An APM 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

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

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

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-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-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.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.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.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.r4

An APM 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