Advanced Docker Training Course

Introduction

• Exploration of advanced Docker concepts and workflows
• Refresher on containerization principles and practical use cases
• Key Docker terminology and core components
• Course objectives and an overview of the hands-on environment

Docker Features and Architecture Overview

• The Docker Engine and its constituent parts
• Understanding clients, daemons, images, containers, and registries
• Docker architecture and the container lifecycle
• Docker Hub and the use of private registries
• Advanced Docker CLI fundamentals
• Resource and configuration management in Docker

Docker Setup

• Installation of Docker Community Edition
• Configuration of the Docker environment
• Verification of Docker installation
• Configuring Docker for development and testing purposes
• Managing Docker configurations and storage
• Basic Docker environment troubleshooting

Building Custom Docker Images

• Understanding the structure of Docker images and layers
• Authoring efficient Dockerfiles
• Dockerfile syntax, instructions, and best practices
• Managing the build context
• Building and tagging images
• Utilizing .dockerignore
• Optimizing image size and build efficiency
• Managing image versioning and tagging
• Implementing multi-stage Docker builds
• Publishing images to a container registry

Running Multi-Container Applications with Docker Compose

• Introduction to Docker Compose
• Defining services via Compose files
• Configuring networks and volumes
• Handling environment variables
• Managing service dependencies and startup sequences
• Executing and scaling multiple services
• Building application images using Compose
• Managing application configurations
• Debugging multi-container setups
• Best practices for Docker Compose

Challenges in Deploying Multiple Docker Applications

• Managing containers across multiple hosts
• Ensuring application scaling and availability
• Implementing service discovery
• Load balancing strategies
• Managing configurations and secrets
• Addressing persistent storage challenges
• Monitoring and logging at scale
• Executing rolling updates and deployments
• Recovering from container or host failures

Maintaining Control Through Container Orchestration

• Introduction to container orchestration
• Advantages and limitations of orchestration
• Comparison of Docker Swarm, Kubernetes, and other platforms
• Scheduling and workload management
• Service discovery and networking mechanisms
• Scaling applications and self-healing capabilities
• Rolling deployments and rollback procedures
• Resource management and workload isolation
• Selecting the right orchestration platform

Kubernetes in Action

• Kubernetes architecture and core components
• Pods, nodes, and cluster structure
• Deployments and ReplicaSets
• Services and service discovery
• ConfigMaps and Secrets
• Namespaces and organizing resources
• Application scaling
• Rolling updates and rollbacks
• Kubernetes networking basics
• Persistent storage solutions
• Health checks and application resilience
• Deploying Docker applications to Kubernetes
• Diagnosing Kubernetes workload issues

Advanced Docker Networking

• Docker networking architecture
• Bridge, host, overlay, and other network drivers
• Inter-container communication
• Communication between containers and external systems
• Creating custom Docker networks
• Network isolation techniques
• Service discovery mechanisms
• Port publishing and exposure
• Networking in multi-host environments
• Troubleshooting Docker network issues

Docker Security

• Fundamentals of Docker security
• Container isolation and security boundaries
• Running containers with appropriate privileges
• Managing users and permissions within containers
• Linux capabilities and security controls
• Securing Docker images
• Scanning images for vulnerabilities
• Secure secret management
• Securing Docker registries
• Network security and isolation
• Docker daemon security
• Best practices for container security

Establishing a Continuous Integration Workflow for Docker

• Introduction to CI for containerized apps
• Automating Docker image builds
• Automated testing of images and containers
• Managing image tags and versions
• Linking source control with Docker builds
• Automated vulnerability scanning of images
• Publishing images to registries
• Handling build artifacts
• Implementing automated quality checks
• Designing a repeatable Docker CI pipeline

Integrating Docker into Existing Workflows

• Integrating Docker with current development processes
• Containerizing legacy applications
• Connecting Docker with CI/CD platforms
• Managing dev, test, staging, and prod environments
• Automated deployment strategies
• Configuration management across environments
• Registry integration
• Deployment approvals and release management
• Monitoring application deployments
• Ensuring consistency across all environments

Container and Orchestration Best Practices

• Designing maintainable Docker images
• Optimizing container startup and performance
• Managing the container lifecycle
• Efficient resource allocation
• Logging and monitoring strategies
• Managing configurations and secrets
• Ensuring high availability and fault tolerance
• Scaling containerized applications
• Securing container deployments
• Versioning and release strategies
• Best practices for orchestration architecture

Troubleshooting

• Diagnosing container startup issues
• Analyzing application and container logs
• Inspecting containers and images
• Resolving network connectivity problems
• Fixing storage and volume issues
• Diagnosing image build failures
• Troubleshooting Docker Compose applications
• Investigating resource and performance bottlenecks
• Basics of Kubernetes troubleshooting
• Hands-on troubleshooting exercises

Summary and Conclusion

• Review of essential Docker concepts
• Recap of image creation and container management
• Overview of multi-container deployment
• Recap of orchestration concepts and Kubernetes
• Review of Docker networking and security
• Review of CI/CD integration
• Best practices for containerization and orchestration
• Final practical exercise
• Q&A and discussion