Multi-Stage Docker Build Tutorial | Production-Ready Dockerfiles & Optimization

Learn how to write production-grade Dockerfiles using multi-stage builds to optimize container image sizes, enhance security, and improve deployment efficiency. In this session, we cover the theory behind multi-stage builds, separate build and runtime environments, step-by-step hands-on implementation in Python, and container deployment best practices. 📌 What You Will Learn: What is a multi-stage Docker build and why use it? Single-stage vs. Multi-stage build comparison (Image size & security) How to write a production-grade Dockerfile with Python/Flask Setting up build stages, runtime stages, and non-root users Hands-on demo: Building, running, port forwarding, and testing containers in EC2 Docker best practices (Lightweight base images, .dockerignore, scanning, specific tagging) ⏰ Timestamps: 00:00 - Introduction to Multi-Stage Docker Builds 01:03 - What is a Multi-Stage Build & How It Works 06:25 - Why Use Multi-Stage Builds? (Size, Security, Performance) 11:56 - Builder Stage vs. Runtime Stage Explained 18:48 - Writing a Production-Grade Dockerfile (Python Example) 30:00 - Single-Stage vs. Multi-Stage Build Comparison 34:00 - Production-Ready Docker Best Practices 42:00 - Hands-on Demo: Single-Stage Build Setup & Execution 54:00 - Hands-on Demo: Multi-Stage Build & Size Reduction Analysis 59:50 - Running Containers, Port Binding (-p 8080:8080), & Testing (curl) 01:14:48 - Docker Container Logs & Debugging 01:16:04 - Logging into a Container with docker exec -it