Sample Answer
When I saw intermittent failures for about 8% of users after a deploy, I treated it like an experiment. First I gathered metrics: error rates by region, OS, browser, and versions using Grafana and Splunk, and reproduced the issue in a staging mirror that matched the failing cohort. I checked app logs (structured JSON), server traces, and recent git diffs to form hypotheses: client-side regression, race condition, or a config mismatch. I added targeted logging and feature flags to narrow scope, ran chrome devtools and network captures for client issues, and used strace and perf on servers for resource anomalies. Within 48 hours we identified a race in init order affecting users on older browsers, rolled back the offending change, patched the init sequence, and cut failures from 8% to <0.5%.
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