Registering a Scalable Target - Amazon ElastiCache for Redis
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Registering a Scalable Target

Before you can use Auto Scaling with an ElastiCache for Redis cluster, you register your cluster with ElastiCache for Redis auto scaling. You do so to define the scaling dimension and limits to be applied to that cluster. ElastiCache for Redis auto scaling dynamically scales the ElastiCache for Redis cluster along the elasticache:replication-group:NodeGroups scalable dimension, which represents the number of cluster shards.

Using the Amazon CLI

To register your ElastiCache for Redis cluster, use the register-scalable-target command with the following parameters:

  • --service-namespace – Set this value to elasticache

  • --resource-id – The resource identifier for the ElastiCache for Redis cluster. For this parameter, the resource type is ReplicationGroup and the unique identifier is the name of the ElastiCache for Redis cluster, for example replication-group/myscalablecluster.

  • --scalable-dimension – Set this value to elasticache:replication-group:NodeGroups.

  • --max-capacity – The maximum number of shards to be managed by ElastiCache for Redis auto scaling. For information about the relationship between --min-capacity, --max-capacity, and the number of shards in your cluster, see Minimum and maximum capacity.

  • --min-capacity – The minimum number of shards to be managed by ElastiCache for Redis auto scaling. For information about the relationship between --min-capacity, --max-capacity, and the number of shards in your cluster, see Minimum and maximum capacity.

In the following example, you register an ElastiCache for Redis cluster named myscalablecluster. The registration indicates that the cluster should be dynamically scaled to have from one to ten shards.

For Linux, OS X, or Unix:

aws application-autoscaling register-scalable-target \ --service-namespace elasticache \ --resource-id replication-group/myscalablecluster \ --scalable-dimension elasticache:replication-group:NodeGroups \ --min-capacity 1 \ --max-capacity 10 \

For Windows:

aws application-autoscaling register-scalable-target ^ --service-namespace elasticache ^ --resource-id replication-group/myscalablecluster ^ --scalable-dimension elasticache:replication-group:NodeGroups ^ --min-capacity 1 ^ --max-capacity 10 ^

Using the API

To register your Elasticache cluster, use the register-scalable-target command with the following parameters:

  • ServiceNamespace – Set this value to elasticache.

  • ResourceID – The resource identifier for the Elasticache cluster. For this parameter, the resource type is ReplicationGroup and the unique identifier is the name of the ElastiCache for Redis cluster, for example replication-group/myscalablecluster.

  • ScalableDimension – Set this value to elasticache:replication-group:NodeGroups.

  • MinCapacity – The minimum number of shards to be managed by ElastiCache for Redis auto scaling. For information about the relationship between --min-capacity, --max-capacity, and the number of replicas in your cluster, see Minimum and maximum capacity.

  • MaxCapacity – The maximum number of shards to be managed by ElastiCache for Redis auto scaling. For information about the relationship between --min-capacity, --max-capacity, and the number of replicas in your cluster, see Minimum and maximum capacity.

In the following example, you register an ElastiCache for Redis cluster named myscalablecluster with the Application Auto Scaling API. This registration indicates that the cluster should be dynamically scaled to have from one to 5 replicas.

POST / HTTP/1.1 Host: autoscaling.us-east-2.amazonaws.com Accept-Encoding: identity Content-Length: 219 X-Amz-Target: AnyScaleFrontendService.RegisterScalableTarget X-Amz-Date: 20160506T182145Z User-Agent: aws-cli/1.10.23 Python/2.7.11 Darwin/15.4.0 botocore/1.4.8 Content-Type: application/x-amz-json-1.1 Authorization: AUTHPARAMS { "ServiceNamespace": "elasticache", "ResourceId": "replication-group/myscalablecluster", "ScalableDimension": "elasticache:replication-group:NodeGroups", "MinCapacity": 1, "MaxCapacity": 5 }