Stop shipping massive, bloated Python containers. 🐳🐍 As a DevOps engineer, one of the easiest wins for performance and security is optimizing your FastAPI Dockerfiles. Moving from a single-stage "heavy" build to a multi-stage workflow isn't just about saving disk space—it’s about: ✅ Security: Removing compilers, pip, and OS packages in the final image. ✅ Speed: Faster CI/CD pipelines and quicker scaling during deployments. ✅ Efficiency: Using non-root users and slim base images to reduce the attack surface. Check out this breakdown: 1.2 GB (Bad) ➡️ 150 MB (Good) How are you optimizing your Python builds? Let's discuss in the comments! 👇 #DevOps #Docker #Python #FastAPI #CloudNative #ProgrammingTips
Everything you need to build compact, secure, and well-crafted OCI images is covered in the official Docker build best practices guide: https://docs.docker.com/build/building/best-practices
Impressive work. If you build your backend using Go or Rust, you can further reduce your image size while also improving efficiency—allowing the system to handle significantly higher request loads with better performance and scalability.
Nice example ! One thing I noticed in the production stage lines 10 and 16 are two separate RUN instructions. Is there a specific reason you kept them apart, like keeping them easy to invalidate separately ?
You can also check the size of each step of the Dockerfile by running: "docker history <image_name>" Also, one more thing to be aware of when creating the images is that any ENV command is also logged on the history of the creation of that image. So it's very important to be mindful about setting ENV vars on the Dockerfile