The Hidden Cost of Fine-Grained Deployments
Fine-grained rollouts look safe on paper — 1%, 5%, 10%… watch metrics, repeat.
In practice, they quietly kill velocity and create deployment theater — everyone feels in control, but nobody’s actually shipping faster.
What actually works
Batch by context, not percentage -> fewer moving parts -> cleaner rollback paths
Compress feedback loops -> focus on signal quality, not rollout duration
Drill reversibility -> measure recovery speed, not rollout granularity
Because reliability isn’t about how slowly you ship — it’s about how confidently you can recover. Every “safe” deployment model hides a cost somewhere: in human attention, telemetry load, or false confidence.
Would you trade speed for safety — or the other way around?
