Build and Release Management in the SDLC: SCM Concepts, Workflow, and Practical Examples

Originally published on 2015-11-27; fully revised and updated.

Build and release management is the discipline of turning source code into tested, deployable software in a controlled and repeatable way. This is especially useful for developers, release engineers, QA teams, and DevOps practitioners who need consistent delivery across environments.

This article explains where build and release fits in the software development lifecycle (SDLC), how software configuration management (SCM) supports it, and what practical workflows look like once teams begin maintaining one version while building the next.

Where build and release fit in the software development lifecycle

The original training content frames build and release as part of a full SDLC. In practice, each phase contributes inputs that must remain traceable through build and production release.

• Planning and specifications: define what will be built and what “done” means.
• Analysis and design: define architecture, components, and integration boundaries.
• Implementation: produce source code and supporting configuration.
• Testing: validate behavior against requirements with repeatable test cases.
• Releasing: promote a tested build to production.
• Maintenance: fix defects and deliver improvements while preserving service stability.

SCM capabilities that make delivery controlled and repeatable

SCM is the control layer that tracks change, protects baseline integrity, and enables reproducible builds. The concepts below come directly from the original topic and are still fundamental.

• Resource management: store source, documents, and other project artifacts in a central repository.
• Workspaces: provide isolated working areas for contributors.
• Versioning: maintain revision history as the codebase evolves.
• Collaboration operations: support check-in, check-out, merge, and review workflows.
• History and labeling: mark known-good states so teams can rebuild exact snapshots.
• Build and release management: ensure each build is tied to a known configuration.
• Parallel development: allow multiple codelines (for example, maintenance and next release) to move forward safely.

Build management vs release management

These practices are related but not identical. A release is typically a production-grade build that has passed stricter controls.

Typical build and release workflow

A practical workflow combines frequent automated builds with explicit release baselines so teams can reproduce and support what was shipped.

flowchart TD
    A[Plan requirements] --> B[Develop in workspace]
    B --> C[Commit and push to repository]
    C --> D[Run CI build and unit tests]
    D --> E{Checks pass}
    E -- No --> F[Fix and rebuild]
    F --> C
    E -- Yes --> G[Tag configuration baseline]
    G --> H[Create release candidate]
    H --> I[Run regression and acceptance tests]
    I --> J{Approved for production}
    J -- No --> F
    J -- Yes --> K[Release to production]
    K --> L[Maintain release and continue next version]

Example implementation: Git and CI pipeline conventions

The following examples show a common pattern for creating a release baseline and maintaining a production branch in parallel with ongoing development.

Git commands for baseline tagging and maintenance branching

git checkout -b feature/payment-retry
git add .
git commit -m "Add retry logic for failed payments"
git push origin feature/payment-retry

# After review and merge
git checkout main
git pull origin main
git tag -a v1.0.0 -m "Release 1.0.0 baseline"
git push origin v1.0.0

# Create a maintenance line from the released baseline
git checkout -b release/1.0 v1.0.0
git push origin release/1.0Code language: PHP (php)

Minimal CI pipeline skeleton for build, test, package, and release

stages:
  - build
  - test
  - package
  - release

build_job:
  stage: build
  script:
    - ./scripts/build.sh
  artifacts:
    paths:
      - dist/

test_job:
  stage: test
  script:
    - ./scripts/test.sh

package_job:
  stage: package
  script:
    - ./scripts/package.sh
  dependencies:
    - build_job

release_job:
  stage: release
  script:
    - ./scripts/release.sh
  rules:
    - if: '$CI_COMMIT_TAG'Code language: JavaScript (javascript)

Parallel development after the first production release

Once version 1 is released, teams usually split effort into two streams: maintain the released version and continue feature work for the next version. SCM support for branching and merging is what makes this sustainable.

• Keep a stable maintenance branch for urgent fixes.
• Continue new feature work on the main development line.
• Promote only tested, approved fixes into the maintenance branch.
• Tag each release so exact source and build inputs can be recreated later.

Best practices

• Automate integrity builds and regression tests to detect breakage early.
• Treat build scripts and pipeline definitions as version-controlled code.
• Use immutable version tags for production releases.
• Record artifact metadata (commit, tag, build time, environment) for traceability.
• Define clear promotion gates from build to release to production.
• Document branching and hotfix policies before the first release.

Original training contact paths (preserved): DevOps Training Registration form and info@scmGalaxy.com.

Rajesh Kumar

I’m Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms.

I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.