Building a CI/CD Pipeline Runner from Scratch in Python
13 days ago
- #Python
- #DevOps
- #CI/CD
- The article explains how to build a CI/CD pipeline runner from scratch in Python, covering core features like stages, parallel execution, job dependencies, and artifact passing.
- It starts with a basic single job executor and progressively adds features like multi-stage support, parallel execution, dependency management, and artifact passing.
- The final version includes production-ready features such as environment variables, branch filtering, timeouts, and better error handling.
- The runner demonstrates how CI/CD tools like GitLab Runner and GitHub Actions work internally, focusing on job orchestration in isolated environments.
- Key components of the pipeline include stages (defining execution order), jobs (work units in isolated environments), and artifacts (files passed between jobs).
- The article provides a step-by-step implementation, from parsing YAML configurations to executing jobs in Docker containers with real-time log streaming.
- It also discusses real-world use cases, performance considerations, and potential extensions like caching, matrix builds, and service containers.
- The conclusion emphasizes understanding CI/CD fundamentals to troubleshoot and optimize pipelines, with suggestions for further learning and next steps.