Retries Are Not Reliability
Repeating a failing action can be useful. It can also multiply load, duplicate side effects, and hide the fact that the system was never designed to fail safely.
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Repeating a failing action can be useful. It can also multiply load, duplicate side effects, and hide the fact that the system was never designed to fail safely.
Caching can absolutely save a system. It can also freeze bad assumptions into place and make debugging harder when the real problem was never identified clearly.
Teams often implement rate limits like pure backend plumbing. In reality, those limits shape user experience, customer trust, and who gets blocked when the system is under pressure.
Teams love pushing work into the background because the request gets faster. They forget the complexity did not disappear. It just moved somewhere less visible.
A service can be technically "up" while users are getting timeouts, stale data, and broken workflows. Teams that monitor availability alone miss the pain customers actually feel.
Dumping more lines into a log platform does not mean your team can understand a failure under pressure. Most logging strategies only create noisier confusion.