rohit.vision

CI/CD

mlops mlops cicd deployment pipelines 1 min read

Continuous Integration and Deployment pipelines for ML

Continuous Deployment Pipeline

GitHub repo → Dev env → QA env → UAT env → Production

Developer Workflow

  1. Feature Development
  2. Push and Pull Request (PR)
  3. Automated CI Pipeline — build + run tests; if passes, merge to main
  4. Continuous Deployment — deploy to staging after merge

Key Stages

  • Linting: Enforces coding standards, catches errors early
  • Unit Tests: Check code at component level, fast running
  • Build: Compile into artifacts (executables, archives, container images)
  • Test: Automated testing improves deployment speed