Pipeline as Code
The pipeline becomes reviewable, which is the point. It also becomes branch-specific, which is both the feature and the trap.
The pipeline becomes reviewable, which is the point. It also becomes branch-specific, which is both the feature and the trap.
Secrets need a tested lifecycle: creation, rotation, revocation, and expiration, including enforcement at the protected service.
Use reviewed code changes by default, and reconcile authorized emergency changes with the intended state.
Your code says what should exist. The state file says what the tool believes exists. The cloud knows what actually exists. Three answers, one system.
Fixed release costs encourage batching, but delay and recovery risk matter too. Reduce repeated overhead while building decomposition and testing skills.
Bring together the people who perform and receive the work. Use their observations and flow measurements to identify delays and test improvements.
DORA uses five delivery metrics. Define event boundaries, distinguish failed-deployment recovery from all-cause MTTR, and interpret changes in context.
A fictional change takes two days to write and six weeks to reach a user. Trace its waits, work, and rework to decide what to improve.
Treating analytics as code, versioned and tested. The practices are borrowed from DevOps; the hard part — who owns which number — is not a tooling problem.