Choosing a baseline window before you judge a release
How to pick a fair before-period when measuring deployment impact on production applications — traffic shape, seasonality, and deploy noise.
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Notes from deployment impact work
Short articles rooted in how we measure what a production release changed — not generic productivity advice.
What “user-facing impact” means when latency barely moved
Latency averages can stay flat while checkout failures or empty result pages rise. How deployment impact reviews catch silent regressions.
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Annotating deploys without turning the timeline into clutter
A practical convention for marking production deploys so impact reviews stay readable across multiple services.
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When a retainer helps more than a one-off assessment
Signs your release cadence needs recurring deployment impact analytics rather than occasional deep dives after problems appear.
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