Amazon ElastiCache is a fully managed in-memory data store caching service, which is compatible with Redis and Memcached engines. AWS Lambda is a serverless compute service that enables running code without managing servers.
AWS Lambda provides an integration mechanism for ElastiCache through the use of environment variables. When you create a Lambda function, you can configure environment variables that contain the endpoints, ports, and authentication details required to connect to your ElastiCache cluster.
Here are the steps to use ElastiCache with Lambda:
Create an ElastiCache cluster: First, create an ElastiCache cluster using either the Amazon Elastic Cache console or command-line interface (CLI). Ensure that your cluster is accessible from your Lambda function's VPC.
Create a Lambda function: Next, create a Lambda function using either the AWS CLI or AWS Management Console. Choose the runtime environment that is compatible with your application.
Configure environment variables: In the Lambda function configuration, add environment variables that contain the endpoint and port number of the ElastiCache cluster. You can also set environment variables for authentication credentials or access keys if required.
In this example, the
redis Python library is used to connect to the ElastiCache cluster using the environment variables. The
get() methods are used to store and retrieve data from Redis.
By following these steps, you can easily integrate AWS Lambda with ElastiCache to build highly scalable and performant applications.