Software delivery system

The path matters

A delivery system is more than a build pipeline. It includes how work is selected, clarified, implemented, reviewed, tested, deployed, observed, and improved. A change may spend only a small part of its elapsed time being edited. The rest may be spent waiting for a decision, a reviewer, a test environment, a release window, or an operational response.

The system boundary should be explicit. A mobile application, a backend service, and an infrastructure repository can all have different paths to a user-visible result. Combining them into one number can hide the constraint that a particular team needs to address.

Measure movement and failure together

Throughput measures such as change lead time and deployment frequency describe how changes move. Stability measures such as change fail rate, deployment rework rate, and recovery time describe what happens when a change does not go as planned. Flow measures explain the stages between those outcomes.

For example, a rise in lead time after a new approval step may reflect useful risk control or an avoidable specialist queue. Pull request history and review findings can show which explanation deserves investigation.

How Weave can help

Weave provides context around the development events that precede delivery. Teams can move from a system trend to changes, review rounds, code output, and quality patterns. That helps identify a plausible bottleneck and choose a focused improvement experiment. Deployment and incident systems remain necessary for the parts of the delivery system that happen after the repository workflow.