Software factory governance

Governance should guide a path

Governance can define who owns a service, what evidence a release needs, how changes are reviewed, and how an incident is handled. The goal is a delivery system that is safe and understandable. A rule that requires an expert but provides no backup can create a queue without improving the decision.

Good governance states the default, the reason for it, the evidence required, and the route for an exception. Automation can make a control repeatable, but it cannot decide whether the policy remains appropriate for every service and work type.

Measure both control and flow

Track policy coverage, exception demand, time waiting for approval, failed checks, rework, change failure, recovery, and developer experience. A faster path is not automatically better if it weakens a control. A strict control is not automatically effective if teams route around it.

Review outcomes with the people operating the factory. Keep a policy change and its measurement definition versioned so later comparisons remain honest.

How Weave can help

Weave can expose the development and delivery patterns associated with a governance change. Teams can inspect the pull requests and reviews behind a trend, then bring security, compliance, platform, and production evidence into the decision.