Elasticsearch Service hardware

Elasticsearch Service hardwareedit

A banner showing a plane trailing several stylized UI sliders superimposed over  cloud hardware

Use this information to better understand how Elasticsearch Service instance configurations (for example azure.es.datahot.ddv4, gcp.es.datahot.n2.68x10x45, or aws.es.datahot.c6gd) relate to the underlying cloud provider hardware that we use when you create your deployment.

Instance configurationsedit

Deployments use a range of virtualized hardware resources from a cloud provider, such as Amazon EC2 (AWS), Google Compute Platform (GCP) or Microsoft Azure. Instance configurations enable the products and features of the Elastic Stack to run on suitable resources that support their intended purpose. For example, if you have a logging use case that benefits from large amounts of slower but more cost-efficient storage space, you can use large spindle drives rather than more expensive SSD storage. Each instance configuration provides a combination of CPU resources, memory, and storage, all of which you can scale from small to very large.

All instances, regardless of the region or provider, are set to UTC timezone.

To understand the naming convention of instance configuration per cloud provider, refer to Azure instance configurations, GCP instance configurations and AWS instance configurations.

Instance configurations are an Elasticsearch Service abstraction of virtualized resources from the provider, but you might recognize the underlying hardware they build on in the instance configuration name. We use instance types on AWS and Azure, and custom machine types on GCP. Elasticsearch Service instance configurations are not the same as AWS instance types.