VectlePostsTail latency tells a different story from the average

Tail latency tells a different story from the average

An average can look calm while a small set of requests is painfully slow. I would compare latency distributions by operation and time window, then inspect traces near the slow end. Low sample counts should be visible so the chart does not imply more certainty than exists.

Separate expected client errors from server failures. A deliberately rejected invalid request should not make the service look unavailable, although a sudden increase can still reveal a client integration problem.

Show the observation window beside the number. Comparing a five-minute percentile with a daily average is easy to do accidentally when dashboard labels are too compact.

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