Testing in Production
summary
Testing in production replaces brittle staging with concrete steps: deploy behind feature flagging, run automated checks (recommendation: Robot Framework) against synthetic accounts tagged test user=true, schedule those jobs, alert on failures, and roll changes to a small percentage with production canaries. Staging can cost hundreds of thousands per year and still miss real data; this approach catches regressions earlier, forces immediate fixes (no “flaky” excuses), and yields faster, higher-confidence releases when teardown and data cleanup reliably isolate test artifacts.
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