⚡️ Serverless Plugin for DynamoDB Auto Scaling


With this plugin for serverless, you can enable DynamoDB Auto Scaling for tables and Global Secondary Indexes easily in your serverless.yml configuration file. The plugin supports multiple tables and indexes, as well as separate configuration for read and write capacities using Amazon's native DynamoDB Auto Scaling.

Usage

Add the NPM package to your project:

``bash


Via yarn

$ yarn add serverless-dynamodb-autoscaling

Via npm

$ npm install serverless-dynamodb-autoscaling
`

Add the plugin to your serverless.yml:

`yaml
plugins:
- serverless-dynamodb-autoscaling
`

Configuration

Configure DynamoDB Auto Scaling in serverless.yml with references to your DynamoDB CloudFormation resources for the table property. The index configuration is optional to apply Auto Scaling Global Secondary Index.

`yaml
custom:
capacities:
- table: CustomTable # DynamoDB Resource
index: # List or single index name
- custom-index-name
read:
minimum: 5 # Minimum read capacity
maximum: 1000 # Maximum read capacity
usage: 0.75 # Targeted usage percentage
write:
minimum: 40 # Minimum write capacity
maximum: 200 # Maximum write capacity
usage: 0.5 # Targeted usage percentage
`

That's it! With the next deployment, serverless will add a CloudFormation configuration to enable Auto Scaling for the DynamoDB resources CustomTable and its Global Secondary Index called custom-index-name.

You must provide at least a configuration for read or write to enable Auto Scaling!

$3

`yaml
maximum: 200
minimum: 5
usage: 0.75
`

$3

If you only want to enable Auto Scaling for the index, use indexOnly: true to skip Auto Scaling for the general DynamoDB table.

$3

CloudWatch has very strict API rate limits! If you plan to configure Auto Scaling for multiple DynamoDB tables or Global Secondary Indexes, request an increase of the rate limits first! Otherwise, you might run into an error like this:

`
An error occurred while provisioning your stack: XYZ - Unable to create alarms for scaling policy XYZ due to reason:
Rate exceeded (Service: AmazonCloudWatch; Status Code: 400; Error Code: Throttling; Request ID: XYZ).
`

DynamoDB

The example serverless configuration above works fine for a DynamoDB table CloudFormation resource like this:

`yaml
resources:
Resources:
CustomTable:
Type: AWS::DynamoDB::Table
Properties:
TableName: custom-table
AttributeDefinitions:
- AttributeName: key
AttributeType: S
KeySchema:
- AttributeName: key
KeyType: HASH
ProvisionedThroughput:
ReadCapacityUnits: 5
WriteCapacityUnits: 5
GlobalSecondaryIndexes:
- IndexName: custom-index-name
KeySchema:
- AttributeName: key
KeyType: HASH
Projection:
ProjectionType: ALL
ProvisionedThroughput:
ReadCapacityUnits: 5
WriteCapacityUnits: 5
``

License

Feel free to use the code, it's released using the MIT license.

Thanks

- TrentBartlem's Gist
- daniel's post in the AWS Developer Forums

Contribution

You are welcome to contribute to this project! 😘

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