Observability Plan
Designs from the questions you will need to answer rather than from the metrics that happen to be available.
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Running it, start to finish
- Write the questions before instrumenting anything.
- Instrument user-facing success and latency per critical path.
- Audit how each past incident was detected and close the gaps.
What you get back
The output this produces, every time.
- Alerts on user-facing symptoms rather than internal resource metrics, which move without anyone being affected.
- Measures per stage so you can tell which part failed, not just that something did.
- Checks how past incidents were detected, and treats customer-reported ones as gaps.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Every alert needs an action. One without a response is noise, and noise is precisely what causes the real page to be missed.
- Monitor dependencies yourself. A vendor's status page is not your monitoring, and the two disagree more often than you would expect.
- Build the 3am dashboard. One screen answering four questions. Everything else belongs in the investigation, not the first thirty seconds.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.