Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Defining a scaling policy

Focus mode
Defining a scaling policy - Amazon ElastiCache

A target-tracking scaling policy configuration is represented by a JSON block that the metrics and target values are defined in. You can save a scaling policy configuration as a JSON block in a text file. You use that text file when invoking the AWS CLI or the Application Auto Scaling API. For more information about policy configuration syntax, see TargetTrackingScalingPolicyConfiguration in the Application Auto Scaling API Reference.

The following options are available for defining a target-tracking scaling policy configuration:

Using a predefined metric

A target-tracking scaling policy configuration is represented by a JSON block that the metrics and target values are defined in. You can save a scaling policy configuration as a JSON block in a text file. You use that text file when invoking the AWS CLI or the Application Auto Scaling API. For more information about policy configuration syntax, see TargetTrackingScalingPolicyConfiguration in the Application Auto Scaling API Reference.

The following options are available for defining a target-tracking scaling policy configuration:

Using a predefined metric

By using predefined metrics, you can quickly define a target-tracking scaling policy for an ElastiCache for Valkey and Redis OSS cluster that works with target tracking in ElastiCache Auto Scaling. Currently, ElastiCache supports the following predefined metric in ElastiCache Replicas Auto Scaling:

ElastiCacheReplicaEngineCPUUtilization – The average value of the EngineCPUUtilization metric in CloudWatch across all replicas in the cluster. You can find the aggregated metric value in CloudWatch under ElastiCache ReplicationGroupId, Role for required ReplicationGroupId and Role Replica.

To use a predefined metric in your scaling policy, you create a target tracking configuration for your scaling policy. This configuration must include a PredefinedMetricSpecification for the predefined metric and a TargetValue for the target value of that metric.

Using a custom metric

By using custom metrics, you can define a target-tracking scaling policy that meets your custom requirements. You can define a custom metric based on any ElastiCache for Valkey and Redis OSS metric that changes in proportion to scaling. Not all ElastiCache metrics work for target tracking. The metric must be a valid utilization metric and describe how busy an instance is. The value of the metric must increase or decrease in proportion to the number of replicas in the cluster. This proportional increase or decrease is necessary to use the metric data to proportionally increase or decrease the number of replicas.

The following example describes a target-tracking configuration for a scaling policy. In this configuration, a custom metric adjusts a cluster based on an average CPU utilization of 50 percent across all replicas in an cluster named my-db-cluster.

{"TargetValue": 50, "CustomizedMetricSpecification": {"MetricName": "EngineCPUUtilization", "Namespace": "AWS/ElastiCache", "Dimensions": [ {"Name": "ReplicationGroup","Value": "my-db-cluster"}, {"Name": "Role","Value": "REPLICA"} ], "Statistic": "Average", "Unit": "Percent" } }

Using cooldown periods

You can specify a value, in seconds, for ScaleOutCooldown to add a cooldown period for scaling out your cluster. Similarly, you can add a value, in seconds, for ScaleInCooldown to add a cooldown period for scaling in your cluster. For more information about ScaleInCooldown and ScaleOutCooldown, see TargetTrackingScalingPolicyConfiguration in the Application Auto Scaling API Reference. The following example describes a target-tracking configuration for a scaling policy. In this configuration, the ElastiCacheReplicaEngineCPUUtilizationpredefined metric is used to adjust a cluster based on an average CPU utilization of 40 percent across all replicas in that cluster. The configuration provides a scale-in cooldown period of 10 minutes and a scale-out cooldown period of 5 minutes.

{"TargetValue": 40.0, "PredefinedMetricSpecification": {"PredefinedMetricType": "ElastiCacheReplicaEngineCPUUtilization" }, "ScaleInCooldown": 600, "ScaleOutCooldown": 300 }

Disabling scale-in activity

You can prevent the target-tracking scaling policy configuration from scaling in your ElastiCache for Valkey and Redis OSS cluster by disabling scale-in activity. Disabling scale-in activity prevents the scaling policy from deleting replicas, while still allowing the scaling policy to add them as needed.

You can specify a Boolean value for DisableScaleIn to enable or disable scale in activity for your cluster. For more information about DisableScaleIn, see TargetTrackingScalingPolicyConfiguration in the Application Auto Scaling API Reference.

The following example describes a target-tracking configuration for a scaling policy. In this configuration, the ElastiCacheReplicaEngineCPUUtilization predefined metric adjusts a cluster based on an average CPU utilization of 40 percent across all replicas in that cluster. The configuration disables scale-in activity for the scaling policy.

{"TargetValue": 40.0, "PredefinedMetricSpecification": {"PredefinedMetricType": "ElastiCacheReplicaEngineCPUUtilization" }, "DisableScaleIn": true }

Applying a scaling policy to an ElastiCache for Valkey and Redis OSS cluster

After registering your cluster with ElastiCache for Valkey and Redis OSS auto scaling and defining a scaling policy, you apply the scaling policy to the registered cluster. To apply a scaling policy to an ElastiCache for Valkey and Redis OSS cluster, you can use the AWS CLI or the Application Auto Scaling API.

Using the AWS CLI

To apply a scaling policy to your ElastiCache for Valkey and Redis OSS cluster, use the put-scaling-policy command with the following parameters:

  • --policy-name – The name of the scaling policy.

  • --policy-type – Set this value to TargetTrackingScaling.

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

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

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

  • --target-tracking-scaling-policy-configuration – The target-tracking scaling policy configuration to use for the cluster.

In the following example, you apply a target-tracking scaling policy named myscalablepolicy to a cluster named myscalablecluster with ElastiCache auto scaling. To do so, you use a policy configuration saved in a file named config.json.

For Linux, macOS, or Unix:

aws application-autoscaling put-scaling-policy \ --policy-name myscalablepolicy \ --policy-type TargetTrackingScaling \ --resource-id replication-group/myscalablecluster \ --service-namespace elasticache \ --scalable-dimension elasticache:replication-group:Replicas \ --target-tracking-scaling-policy-configuration file://config.json
{"TargetValue": 40.0, "PredefinedMetricSpecification": {"PredefinedMetricType": "ElastiCacheReplicaEngineCPUUtilization" }, "DisableScaleIn": true }

For Windows:

aws application-autoscaling put-scaling-policy ^ --policy-name myscalablepolicy ^ --policy-type TargetTrackingScaling ^ --resource-id replication-group/myscalablecluster ^ --service-namespace elasticache ^ --scalable-dimension elasticache:replication-group:Replicas ^ --target-tracking-scaling-policy-configuration file://config.json

Using the API

To apply a scaling policy to your ElastiCache cluster with the Application Auto Scaling API, use the PutScalingPolicy Application Auto Scaling API operation with the following parameters:

  • PolicyName – The name of the scaling policy.

  • PolicyType – Set this value to TargetTrackingScaling.

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

  • ServiceNamespace – Set this value to elasticache.

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

  • TargetTrackingScalingPolicyConfiguration – The target-tracking scaling policy configuration to use for the cluster.

In the following example, you apply a target-tracking scaling policy named scalablepolicy to an cluster named myscalablecluster with ElastiCache auto scaling. You use a policy configuration based on the ElastiCacheReplicaEngineCPUUtilization predefined metric.

POST / HTTP/1.1 Host: autoscaling.us-east-2.amazonaws.com Accept-Encoding: identity Content-Length: 219 X-Amz-Target: AnyScaleFrontendService.PutScalingPolicy 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 { "PolicyName": "myscalablepolicy", "ServiceNamespace": "elasticache", "ResourceId": "replication-group/myscalablecluster", "ScalableDimension": "elasticache:replication-group:Replicas", "PolicyType": "TargetTrackingScaling", "TargetTrackingScalingPolicyConfiguration": { "TargetValue": 40.0, "PredefinedMetricSpecification": { "PredefinedMetricType": "ElastiCacheReplicaEngineCPUUtilization" } } }

On this page

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.