Question: How to Use ElastiCache Redis Locally


To use ElastiCache Redis locally, you will need to install Redis on your local machine and then connect it to your application. This way, you can simulate a similar caching environment as in an AWS ElastiCache deployment. Here's a step-by-step guide on achieving this setup:

  1. Install Redis

    To install Redis on your local machine, follow the installation instructions specific to your operating system. You can find the instructions in the official Redis documentation.

  2. Start Redis Server

    After installation, start the Redis server by running the following command in your terminal:


    Your Redis server should now be running on the default port 6379. You can change this by providing a configuration file or specifying a different port number.

  3. Connect to Redis from Your Application

    To connect your application with the local Redis instance, you'll need a Redis client for your programming language. Here's an example in Python using the redis package:

    import redis # Connect to local Redis server r = redis.Redis(host='localhost', port=6379, db=0) # Set and get a value from Redis r.set('key', 'value') value = r.get('key') print(value) # Output: b'value'

    Replace host and port accordingly if you've set up Redis at a different address or port.

  4. Test Your Application

    Test your application to ensure proper connection and interaction with the Redis server. Make sure to handle any errors or exceptions that may occur during the process.

By following these steps, you can use ElastiCache Redis locally for development purposes. Keep in mind that this setup is not suitable for production use – for that, you should consider using AWS ElastiCache or another managed Redis service.

Was this content helpful?

White Paper

Free System Design on AWS E-Book

Download this early release of O'Reilly's latest cloud infrastructure e-book: System Design on AWS.

Free System Design on AWS E-Book

Start building today

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.