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Mastering Python Project Management with uv: Part 4 — CI/CD & Docker
- The article focuses on using uv, a modern package manager, for CI/CD and Docker workflows in Python project management.
- It discusses Dockerizing apps the modern way, using docker-compose for local development, and automating CI/CD with GitHub Actions.
- The two-stage Docker build pattern enhances build speed, clean dependency separation, image size, and security.
- Stage 1 involves installing uv, build dependencies, and leveraging layer caching for faster builds.
- Stage 2 focuses on a lean runtime environment with only essential components, resulting in smaller images that load faster and are more secure.
- The article details the benefits of uv, including smaller images, faster CI/CD, cleaner production, better security, reproducibility, and speed in the context of Docker builds.
- It also highlights using docker-compose with uv for fast iteration, clean environments, environment isolation, and health checks.
- GitHub Actions with uv are discussed for linting, testing, building, and publishing Docker images in a reproducible and secure manner.
- The article emphasizes the benefits of uv and Docker builds in improving speed, reproducibility, cleanliness, and security in CI/CD pipelines.
- It concludes by highlighting the simplicity and power of the DevOps pipeline created using uv, Docker, ruff, and GitHub Actions for Python projects.
- The stack offers benefits like faster iteration, safer builds, simpler onboarding, and reproducibility, enhancing team productivity.
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