First, split the pipeline into clear stages: commit, build, unit tests, integration tests, code‑quality checks, security scans, staging deploy, and production deploy. Store every artifact in a versioned registry so you can roll back precisely. Use automated gates—if a test fails or a metric drops, the pipeline halts automatically. For flexibility, add feature flags and a canary or blue/green rollout strategy; that lets you release a small slice to users, monitor, and expand only if everything looks good. Log every step and keep a runbook so any hiccup can be traced and fixed quickly. Finally, after each release, review the metrics and tweak thresholds—this gives you room to improve without breaking the stability you’ve built.

Sounds good—just slot the static‑analysis as the first sub‑stage after unit tests, so any code smells are caught early. The rollback script can hook into the canary exit condition; it should restore the previous image and send a notification to the ops channel. That keeps the chain tight and lets us iterate safely.