Release readiness signal
Also known as Release readiness measure, Deployment readiness signal
Definition
A release readiness signal is evidence used to decide whether a software change or release is sufficiently understood, tested, and supported for its intended production boundary. It may combine quality checks, risk, review, deployment, observability, and operational information.
Readiness is a decision boundary
A release is ready when the team has enough evidence for the intended risk and operating context. The evidence may include passing tests, completed review, a known rollback path, deployment observability, security checks, support preparation, and a clear owner. A low-risk documentation change and a database migration need different readiness evidence.
Avoid treating readiness as one universal score. A score can hide a failed check, a missing owner, or a risk that does not fit the model. Show the underlying signals, their freshness, and the rule used to decide.
Measure the result of the decision
Track how often releases are delayed by each readiness condition, how long they wait, and what happens after release. Pair readiness with change failure, deployment rework, recovery time, and user impact. A team should learn whether a check prevented a problem, created avoidable waiting, or needs a better signal.
How Weave can help
Weave can show the development context entering a readiness decision, including change size, review flow, quality signals, and rework patterns. Release and incident systems remain necessary for the production boundary and the resulting user impact.
How this relates to Weave
Weave can add code output, pull request, review, quality, and rework context to a release readiness discussion. It does not replace production checks, service ownership, rollout policy, or the team's judgment about risk.
Explore Engineering intelligence