How to Implement Response Caching for Improved Performance?

Response caching stores API or web application responses in a cache so they can be served faster on later requests. The post says it can improve performance, reduce server load, reduce bandwidth use, and improve security by lowering the number of requests that reach the server.

Reading notes

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• The cache uses a key that uniquely identifies each stored response, and the cache has a limited size with a policy for removing items when it becomes full.
• Response caching can be applied to GET and HEAD requests.
• The request must return a 200 OK response.
• Response Caching Middleware must come before middleware that depends on caching.
• The Authorization header must not be present.
• Cache-Control header parameters must be valid, and the response must be public, not private.
• If Content-Length is set, it must match the size of the response body.
• The post mentions news websites and e-commerce websites as real-world examples.
• It suggests using response caching for responses that change after a time and when that change is known.
• The verification example uses an application, Postman, and a 60-minute cache time, where only the first request reaches the controller.