Which signals actually show release impact
How to choose production signals that reveal what a deployment changed — without inventing vanity scores.
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Notes from reading releases in production
Practical writing about deployment analytics, release windows, and the conversations that follow a cutover — rooted in the work we do with application teams.
Preparing a production baseline before a major cutover
A practical checklist for capturing application behaviour before a high-stakes release so impact afterward is measurable.
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Running a release retrospective without turning it into blame
Facilitation habits that keep post-release conversations on observed impact and next-window changes.
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When weekly deployments hide slow regressions
Why frequent production releases can mask gradual impact — and how a recurring health review helps catch the drift.
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