Docker

Learning Docker is crucial for IT professionals due to its transformative role in software development and deployment. Docker uses containerization to allow applications to be developed, shipped, and run consistently across various environments.

To understand Docker let us look at its architecture. It uses a client-server model and comprises of the following components:

• Docker daemon: The daemon is responsible for all container related actions and receives commands via the CLI or the REST API.
• Docker Client: A Docker client is how users interact with Docker. The Docker client can reside on the same host as the daemon or a remote host.
• Images: The read-only template used to build containers. Images are used to store and ship applications.
• Containers: Containers are encapsulated environments in which applications are run. A container is defined by the image and configuration options.
• Docker Registries: Registries are locations from where we store and download (or “pull”) images.
• Docker's rich ecosystem, including tools like Docker Compose for managing multi-container applications and Docker Swarm for orchestration, supports diverse development needs. Proficiency in Docker enables candidates to create lightweight, portable containers that include application code, runtime, libraries, and dependencies, ensuring reliable deployment from development to production.

Syllabus:

• 1) Introduction to Docker
• What is Docker?
• Benefits of Containerization
• Docker Architecture
• Docker Editions
• 2) Docker Basics
• Installing Docker
• Docker Images and Containers
• Docker CLI Commands
• Dockerfile
• 3) Docker Networking
• Networking Basics
• Docker Network Modes
• Bridge Networking
• Overlay Networking
• 4) Docker Storage
• Storage Drivers
• Volume Management
• Persistent Storage
• Docker Storage Plugins
• 5) Docker Compose
• Introduction to Docker Compose
• Managing Multi-Container Applications
• Defining Services with Compose
• Networking and Volumes in Compose
• 6) Docker Orchestration
• Introduction to Docker Swarm
• Deploying Services with Swarm
• Scaling and Load Balancing
• High Availability and Fault Tolerance
• 7) Docker Security
• Container Isolation
• Docker Security Best Practices
• Security Scanning
• Network Security
• 8) Docker in Continuous Integration and Delivery (CI/CD)
• Using Docker in CI/CD Pipelines
• Building Docker Images Automatically
• Testing and Deploying with Docker
• Integration with Jenkins and GitLab CI
• 9) Docker in Production
• Production Deployment Considerations
• Monitoring and Logging
• Container Orchestration Platforms
• Cloud-Native Applications with Docker
• 10) Dockerizing Applications
• Containerizing Existing Applications
• Optimizing Docker Images
• Managing Dependencies
• Integration with Microservices