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Trunk-Based vs GitFlow vs GitHub Flow

Choose a branching model that matches your release cadence and team size.

Why this matters

  • This topic directly affects how reliably BookStore reaches production — branching strategy trades release cadence against merge pain.
  • Interviewers connect hands-on commands and manifests to real delivery stories, not buzzwords.
  • Later modules assume you can explain both the why and the concrete file or command involved.
  • Platform maturity shows up when teams automate this instead of relying on tribal knowledge.
Branches
mainProtected, always green
feature/add-healthPR → review → merge
feature/fix-authPR → review → merge

GitFlow adds release/ and hotfix/ branches for scheduled releases

Short-lived feature branches merge to main frequently. Main is always deployable.

Trunk-based flow

Short-lived branches: BookStore engineers treat this as part of the standard path from laptop to branching strategies readiness. Document decisions in the team runbook so on-call knows which knobs exist.

Key ideas

  • Trunk-based flow — primary idea for branching-strategies
  • BookStore context — catalog API, checkout, and inventory services share the same pattern
  • Automation — prefer pipeline jobs over manual SSH steps
  • Verification — staging must prove the change before prod traffic

Compare GitFlow and GitHub Flow

Pick cadence first: When staging matches production architecture, BookStore catches misconfigurations early. Pair this section's practice with observability dashboards to confirm behavior under load.

Key ideas

  • Compare GitFlow and GitHub Flow — operational detail
  • Rollback — know how to revert without rebuilding artefacts
  • Security — least privilege for deploy roles
  • Documentation — link runbooks from the service README

Production checklist

Before promoting BookStore changes tied to this topic, run automated tests, inspect artefact immutability (image digest or JAR checksum), execute a staging smoke test on /actuator/health, and watch error-rate dashboards for thirty minutes after prod rollout.

Key ideas

  • Staging soak — validate under synthetic load
  • Change ticket — attach pipeline URL and artefact digest
  • On-call — page owner stays on dashboards during rollout
  • Post-deploy — record metrics baseline for comparison
Java
git switch main && git pull
git switch -c fix/isbn-validation  # short-lived branch
git push && gh pr create --base main

Quick recall

Everything you need if you only revisit this box.

  • BookStore uses branching strategies as a standard delivery practice.
  • Prefer automation and versioned config over manual server changes.
  • Staging proves changes before customer-facing promotion.
  • Observability confirms success — do not rely on silence alone.
  • Rollback plans must be tested, not invented during an outage.
  • Security and least privilege apply to every pipeline and cluster role.

Test yourself

Answer these before moving on — recall is what makes it stick.