Progressive delivery

How to use the concept

Use progressive delivery as a lens on the delivery system rather than as an isolated score. Segment by service, environment, release path, and change type when those distinctions affect risk or waiting. The same label can describe different operational realities if teams do not document the counting rule.

A concrete delivery example

A team changes its rollout policy and sees progressive delivery move during the next reporting period. Before calling the change an improvement, it checks whether the event definition, traffic mix, deployment boundary, and retry policy stayed stable. That comparison prevents a process change from being confused with a measurement change.

Limitations and interpretation

This signal is sensitive to instrumentation. Missing deployments, duplicate webhooks, hidden retries, and inconsistent labels can make progressive delivery look better or worse. Preserve event-level evidence and record the policy used to include or exclude cases.

Before acting on progressive delivery, compare the current observation with a compatible baseline and ask which underlying event produced it. Keep the raw records, counting policy, and ownership visible. When the signal changes, inspect the surrounding workflow for queueing, rework, failed checks, or recovery work. That practice makes the glossary term useful for diagnosis rather than a label attached to a dashboard.