Verification, Observability, and Deployment Decision
A focused chapter on verification, observability, and deployment decision, with practical delivery concerns, trade-offs, and the operational questions behind CI/CD work.
After Deployment: What to Check Before You Call It Done
The pipeline turns green. Build artifacts are uploaded. The deployment script finishes without errors. Many teams stop there, assuming the new version is
What to Check After a Deployment Depends on What You Just Deployed
You just pushed a new version to production. The pipeline is green. The deployment finished without errors. Now what?
When Error Rates Are Just Numbers: Why You Need SLOs and Error Budgets
Your monitoring dashboard shows error rate at 2%. Latency is 300ms. Throughput dropped 5%. You stare at the numbers, and the only question in your mind
What Happens After Deployment: Promote, Hold, Rollback, Roll-Forward, Pause, or Disable
The deployment just finished. Your new version is running in production, serving real traffic. The pipeline shows green, the logs are flowing, and your
When Your Deployment Decides for Itself: Automating Rollback and Promote Decisions
You just deployed a new version of your API. Five minutes later, the error rate jumps from 0.1% to 4%. You are in a meeting. By the time you check the
Every Deployment Decision Is a Lesson: Building a Learning Loop for Your Delivery System
A team pushes a new version to production. Five minutes later, error rates spike. Someone hits the rollback button. The system stabilizes. Everyone