Course Detail
Docker BootCamp
Learn how to build, run, optimize, and deploy Docker containers with real-world DevOps practices, including image creation, data persistence, networking, and CI/CD automation using GitHub Actions. Ideal for DevOps professionals looking to enhance their expertise in containerization.
Syllabus
Course Content
Core Concepts
- What is Docker and why it's essential for DevOps
- Containers vs Virtual Machines
- Docker Engine, Client/Daemon Architecture
- Docker Hub and other Container Registries
- Image lifecycle: pull, run, tag, push
- Container lifecycle: create, start, stop, remove
Docker CLI & Commands
- Running containers in interactive and detached modes
- docker run, ps, exec, logs, inspect
- Managing container logs, networks, ports
- Viewing and managing images (docker images, rmi)
- Cleanup operations: prune, rm, rmi
Dockerfile & Custom Image Building
- Dockerfile syntax and instructions: FROM, WORKDIR, COPY, RUN, CMD, ENTRYPOINT
- Difference between CMD and ENTRYPOINT
- Tagging and versioning Docker images
- Building optimized images with small base images (e.g., alpine)
- Multi-stage builds for production-ready images
- Creating static site containers (e.g., Nginx with custom HTML)
DockerHub & Registry Integration
- Creating a DockerHub account
- Generating a Personal Access Token (PAT)
- Creating and managing public repositories
- Tagging and pushing custom images to DockerHub
- Alternative registries: GHCR, ECR, ACR, GCR (overview)
Volumes, Bind Mounts & Data Persistence
- Why containers are ephemeral
- Named volumes vs bind mounts
- Volume lifecycle: create, inspect, remove
- Mounting host directories for live development
- Serving dynamic/static content via mounts
- Best practices for data persistence in production
Docker Networking
- Bridge networks, host network, none
- Creating custom Docker networks
- Inter-container communication via DNS
- Publishing ports with -p
- Inspecting container networks
Image Optimization & Best Practices
- Reducing image size with Alpine/slim images
- Using .dockerignore to exclude unnecessary files
- Layer caching and order of instructions
- Keeping images secure and minimal
- Avoiding the latest tag in production
CI/CD with Docker & GitHub Actions
- Introduction to GitHub Actions
- Automating Docker image builds and pushes
- Creating secrets: DockerHub credentials, SSH keys
- SSH-based deployment to remote EC2 server
- Sample CI pipelinen
- Testing and verification post-deployment
Final Outcome
- Ability to containerize real-world apps
- Publish and manage images on DockerHub
- Deploy Dockerized apps on cloud VMs
- Set up Docker CI/CD pipelines using GitHub Actions
- Master foundation for Kubernetes & DevOps pipelines
Related Courses
Course Features
Instructor
Prayag Sangode
Rating
5.0 (250)
Lectures
10+
Duration
10.00+ Hrs
Skill level
All Level
Language
English
Course Price: Contact Us
Categories
- Cloud 3
- DevOps 3
- Security 2
- OS 1
- Automation 2
