79 docker for ai services
In this section
- Build Your Docker SkillCreate your Docker deployment skill in one prompt, then learn to improve it throughout the chapter
- JIT Chapter 79: Docker for AI ServicesBuild your Docker skill first, then learn to understand and refine it into a production-ready asset
- Docker Installation & SetupContainers solve the "works on my machine" problem by packaging applications with their dependencies into portable, isolated units that share the host kernel, making them faster and lighter than VMs.
- Container Fundamentals: Images, Containers, and LayersMaster Docker's core concepts through hands-on exploration—pulling images, running containers, and understanding how layers enable efficient image sharing.
- Writing Your First DockerfileLearn to write a Dockerfile step-by-step, understanding each instruction as you build a containerized FastAPI application
- Container Lifecycle and DebuggingMaster container lifecycle management and debugging techniques using docker logs, docker exec, and docker inspect to troubleshoot containerized FastAPI services
- Multi-Stage Builds & OptimizationReduce Docker image size by 70-85% using multi-stage builds, UV package manager, and Alpine base images
- Production HardeningSecure and harden Docker containers for production deployment with environment variables, health checks, and non-root users
- Docker Image Builder SkillTransform Docker knowledge from Lessons 1-6 into a reusable AI skill for consistent, production-ready containerization
- Capstone: Containerize Your APIApply specification-first containerization to build a production-ready Docker image for your SQLModel + Neon Task API