Conor Barber explores the evolution of infrastructure from YAML configurations to pipelines-as-code, focusing on modern CI/CD systems like GitHub Actions, GitLab, and CircleCI. The presentation was given at QCon San Francisco 2023, discussing how moving away from YAML can improve scalability, cost efficiency, and developer experience.
Research shows that GitHub Actions, a popular CI/CD platform, is vulnerable to typosquatting attacks, where malicious actors exploit spelling mistakes in action names to trick developers into running malicious code.
• Continuous Integration (CI) and Continuous Deployment (CD) pipelines for Machine Learning (ML) applications
• Importance of CI/CD in ML lifecycle
• Designing CI/CD pipelines for ML models
• Automating model training, deployment, and monitoring
• Overview of tools and platforms used for CI/CD in ML
• Importance of CI/CD in ML lifecycle
• Designing CI/CD pipelines for ML models
• Automating model training, deployment, and monitoring
• Overview of tools and platforms used for CI/CD in ML
