Automating a recurring manual cache clear

WHAT THIS TESTS Whether you recognize toil, repetitive, manual, automatable work with no enduring value, and progressively eliminate it, ideally fixing the underlying need.

A GOOD ANSWER COVERS Start by documenting the exact manual steps as a runbook so the process is unambiguous and shareable. Then convert those steps into a script or a small tool so the action is reproducible and not memory-dependent. Next, automate the trigger: wire the script into the CI/CD pipeline as a post-deploy hook so the cache is cleared automatically whenever the relevant deploy completes, removing the human entirely. Add logging and a verification check so failures are visible, and an alert only if the automated step fails. Finally, ask the deeper question: why does this deploy require a manual cache clear at all? The best outcome is a versioned cache key or automatic invalidation so no clearing step is needed. Tools: the pipeline (such as GitHub Actions or Jenkins), a config management or deploy tool, and the cache's own API.

COMMON WRONG ANSWERS Just enduring the pages. Writing a script but still running it manually. Ignoring the root cause that the deploy invalidates the cache.

LIKELY FOLLOW-UPS How do you make the automated step safe and idempotent? What if clearing the cache causes a thundering herd? How do you eliminate the need entirely?

ONE CONCRETE EXAMPLE A deploy ships new serialized objects incompatible with cached ones, so stale entries cause errors until cleared. You document the steps, script a call to the cache flush API, and add it as a post-deploy stage in the pipeline gated to runs that change the schema. You add logging and a failure alert. Then you fix the root cause by embedding a schema version in the cache key, so new deploys naturally miss old entries and no clearing is ever required.