Docker for professional

Prerequisites

• Basic understanding of Linux commands
• Familiarity with a programming language like Python, Java, or Ruby

Course Duration

• Instructor-led: 2 weeks

Course Content

Module 1: Introduction to Containerization

• What is containerization?
• Benefits of containerization
• Comparison with virtual machines
• Introduction to Docker

Module 2: Docker Basics

• Installing Docker
• Understanding Docker architecture
• Docker images
• Docker containers
• Dockerfile: Creating custom images
• Docker Compose: Defining and running multi-container applications

Module 3: Docker Networking

• Docker network types
• Creating and managing networks
• Network drivers
• Port mapping and exposing services

Module 4: Docker Volumes

• Data persistence in containers
• Creating and managing volumes
• Data volume containers

Module 5: Docker Security

• Best practices for Docker security
• Image scanning
• User management
• Network security

Module 6: Docker and CI/CD

• Integrating Docker with CI/CD pipelines
• Building and deploying Docker images to production
• Using Docker with tools like Jenkins, GitLab CI/CD, and CircleCI

Practical Projects

• Building a Simple Web Application:
  • Create a Dockerfile to build a web application image.
  • Run the application in a container.
  • Configure a Docker Compose file to run the web application and a database container.
• Deploying a Python Application:
  • Create a Dockerfile to build a Python application image.
  • Deploy the image to a cloud platform like AWS, GCP, or Azure.
• Creating a Microservices Architecture:
  • Build a multi-container application with multiple services.
  • Use Docker Compose to manage the services and their dependencies.