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To learn more about how to use extensions with your functions, read “ Introducing AWS Lambda extensions”. The Lambda cache uses Lambda extensions to run as a separate process. They can also use environment variables to add options and tools to the runtime, or use wrapper scripts to customize the runtime startup behavior. They use the Extensions API, a new HTTP interface, to register for lifecycle events during function initialization, invocation, and shutdown. Lambda extensions are a new way for tools to integrate more easily into the Lambda execution environment and control and participate in Lambda’s lifecycle. Configuration cache for caching data from a configuration management system such as Parameter Store, AWS AppConfig, or AWS Secrets Manager.
Data cache for caching data from databases such as Amazon Relational Database Service (Amazon RDS), or DynamoDB, etc.There are two types of cache to consider in this situation: The cache can also reduce costs by reducing the number of calls to downstream services. This can reduce the function’s latency, particularly for synchronous requests, as the data is retrieved from the cache instead of an external service. This can reduce latency and cost when consuming data from AWS services such as Amazon DynamoDB, AWS Systems Manager Parameter Store, and AWS Secrets Manager.Īpplications making frequent API calls to retrieve static data can benefit from a caching layer. Lambda functions use REST API calls to access the data and configuration from the cache. In this post, I show how to build a flexible in-memory AWS Lambda caching layer using Lambda extensions. This post is written by Hari Ohm Prasath Rajagopal, Senior Modernization Architect and Vamsi Vikash Ankam, Technical Account Manager
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