Azure Functions users can now leverage distributed caching with Redis, a popular in-memory key-value store. This setup improves application performance and scalability by reducing database load while ensuring cache consistency after updates. The example implementation follows clean architecture principles, separating code into distinct layers and injecting services using interfaces for flexibility and testability.

Source: https://dev.to/mbrennan376/implementing-distributed-caching-with-redis-in-azure-functions-14ph