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Learn multi-stage builds to create smaller, more secure Docker images by separating build dependencies from runtime environments.

Set up comprehensive monitoring and logging for Docker containers using Prometheus, Grafana, cAdvisor, and the ELK Stack.

Learn the fundamentals of Docker and containerization - why containers exist, how they differ from VMs, and the core architecture that makes Docker work.

Master Docker images - learn how the layered filesystem works, proper tagging conventions, and how to work with registries effectively.

Advanced techniques for optimizing Docker images - layer caching, .dockerignore, base image selection, and best practices for production-ready containers.

Master Docker debugging techniques - container logs, exec commands, network troubleshooting, and common problem solutions.

Master essential Docker container operations - running containers, viewing logs, executing commands, inspecting state, and lifecycle management.

Learn Docker Compose for defining and running multi-container applications. Master docker-compose.yml, services, networks, volumes, and environment management.

Build automated CI/CD pipelines for Docker applications using GitHub Actions. Learn image building, testing, security scanning, and deployment strategies.

Learn how to create custom GitHub Actions using Docker containers, JavaScript, or composite actions. Build reusable automation that can be shared across projects.