How to Make Your Microservice Truly Stateless

Imagine running three copies of the same microservice. A user’s first request reaches Copy A, but the next goes to Copy B. If Copy B cannot continue because Copy A kept essential data only in its memory, the service is not truly stateless. Keep sessions, business data and long-running job progress in external, durable systems such as a database, Redis, shared storage or a reliable message queue. Avoid relying on local files or temporary in-memory data that disappears when an instance restarts. Each request should contain, or be able to retrieve, the information needed for processing. Use idempotent message handlers and recovery mechanisms so work can continue safely after a failure. A simple test is this: can one instance shut down while another continues serving requests without losing essential information? Storing data in Redis can help, but does that alone make a microservice stateless?

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