From Git Commit to Production
The lesson follows one commit SHA through review, automated checks, and artifact creation. A deployment timeline shows a canary receiving a small share of traffic, health and latency signals being compared with release criteria, and a promotion decision recorded against the artifact digest.
The closing scene pauses a rollout after an error-rate guardrail fails, then asks whether a rollback is safe given the database migration and external side effects. The lesson separates process automation from the team's decision about what evidence is enough to release. Companion material: delivery article, continuous-delivery trace, and Pro Git.
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