Average latency is up, but p99 is flat. Why?
This tests your grasp of latency distributions. Hypothesize that a large group of typical requests slowed, pulling up the average but not crossing the p99 threshold. Segment by endpoint or customer to find the cohort.
This tests your understanding of latency distributions (mean vs. percentiles). A rising average with a flat p99 implies the bulk of requests, not the tail, has slowed. A great answer hypothesizes this and outlines a plan to segment data by endpoint, customer tier, or region to find the affected cohort. The key is to analyze the shift in the p50-p95 range. A common red flag is incorrectly focusing diagnostics on the slowest 1% of requests, which the data shows are stable.
Read the original → aerospike.com
- #analytics
- #metrics
- #latency
- #debugging
- #systems design
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