@aws-cdk/aws-applicationautoscaling

What is @aws-cdk/aws-applicationautoscaling?

@aws-cdk/aws-applicationautoscaling is an AWS CDK library that allows you to configure application auto-scaling for various AWS resources. It provides constructs for defining scaling policies and targets, enabling you to automatically adjust capacity based on demand.

What are @aws-cdk/aws-applicationautoscaling's main functionalities?

Auto-scaling for DynamoDB

This feature allows you to set up auto-scaling for a DynamoDB table. The code sample demonstrates how to create a DynamoDB table and configure auto-scaling for its read capacity based on utilization.

const app = new cdk.App();
const stack = new cdk.Stack(app, 'AutoScalingStack');

const table = new dynamodb.Table(stack, 'MyTable', {
  partitionKey: { name: 'id', type: dynamodb.AttributeType.STRING },
  billingMode: dynamodb.BillingMode.PROVISIONED,
});

const readScaling = table.autoScaleReadCapacity({
  minCapacity: 1,
  maxCapacity: 10,
});

readScaling.scaleOnUtilization({
  targetUtilizationPercent: 75,
});

Auto-scaling for ECS Services

This feature allows you to set up auto-scaling for ECS services. The code sample demonstrates how to create an ECS Fargate service and configure auto-scaling based on CPU utilization.

const app = new cdk.App();
const stack = new cdk.Stack(app, 'AutoScalingStack');

const cluster = new ecs.Cluster(stack, 'Cluster', {
  vpc,
});

const taskDefinition = new ecs.FargateTaskDefinition(stack, 'TaskDef');

const container = taskDefinition.addContainer('WebContainer', {
  image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
  memoryLimitMiB: 512,
});

const service = new ecs.FargateService(stack, 'Service', {
  cluster,
  taskDefinition,
});

const scaling = service.autoScaleTaskCount({
  minCapacity: 1,
  maxCapacity: 10,
});

scaling.scaleOnCpuUtilization('CpuScaling', {
  targetUtilizationPercent: 50,
});

Auto-scaling for Lambda Functions

This feature allows you to set up auto-scaling for Lambda functions. The code sample demonstrates how to create a Lambda function and configure auto-scaling based on utilization.

const app = new cdk.App();
const stack = new cdk.Stack(app, 'AutoScalingStack');

const fn = new lambda.Function(stack, 'MyFunction', {
  runtime: lambda.Runtime.NODEJS_14_X,
  handler: 'index.handler',
  code: lambda.Code.fromAsset('lambda'),
});

const alias = new lambda.Alias(stack, 'Alias', {
  aliasName: 'prod',
  version: fn.currentVersion,
});

const scaling = alias.addAutoScaling({
  minCapacity: 1,
  maxCapacity: 10,
});

scaling.scaleOnUtilization({
  utilizationTarget: 0.75,
});

Other packages similar to @aws-cdk/aws-applicationautoscaling

aws-sdk

The aws-sdk package provides a comprehensive set of tools for interacting with AWS services, including auto-scaling. However, it requires more manual setup and configuration compared to the higher-level abstractions provided by @aws-cdk/aws-applicationautoscaling.

serverless

The serverless framework allows you to deploy and manage serverless applications on AWS and other cloud providers. It includes support for auto-scaling Lambda functions and other resources, but it is more focused on serverless architectures compared to the broader scope of @aws-cdk/aws-applicationautoscaling.

terraform

Terraform is an infrastructure as code tool that allows you to define and provision infrastructure using a declarative configuration language. It supports auto-scaling for various AWS resources, but it uses a different approach and syntax compared to the AWS CDK.

README

The CDK Construct Library for AWS Application Auto-Scaling

This module is part of the AWS Cloud Development Kit project.

Changelog

0.8.0 - 2018-07-31

This is the first public release of the AWS CDK!

• Change license to Apache-2.0 ([@RomainMuller] in [#428])
• Multiple README updates, including animated gif screencast, as preparation for public release ([@rix0rrr] in [#433], [@eladb] in [#439])
• Multiple documentation updates for public release ([@Doug-AWS] in [#420], [@eladb] in [#436])
• Toolkit (bug fix): Correctly account for CDK::Metadata in cdk diff ([@RomainMuller] in [#435])
• AWS CodeBuild (BREAKING): Usability improvements for the CodeBuild library ([@skinny85] in [#412])