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Continuous Integration and Continuous Deployment (CI/CD)

CI/CD is a set of practices that automate the process of software delivery and infrastructure changes.

Principles of CI/CD​

  1. Continuous Integration (CI)
  • Regularly merging code changes into a central repository
  • Automated testing to identify bugs early
  1. Continuous Deployment (CD)
  • Automatically deploying updates to production
  • Often combined with CI

CI/CD in Machine Learning​

  • Automate inclusion of new data
  • Regularly retrain models
  • Automated performance testing
  • Rule-based deployment

Example: CI/CD with AWS Elastic Beanstalk​

eb init
eb create heart_disease_env
eb deploy
eb open

Best Practices​

  • Automate everything
  • Use version control
  • Test early and often
  • Keep builds fast
  • Build once, deploy many times
  • Deploy to a copy of production environment
  • Make the deployment process idempotent

Challenges in ML CI/CD​

  • Data versioning
  • Model versioning
  • Reproducibility
  • Testing ML models
  • Monitoring model performance in production