Advanced Docker Training Course

Introduction

• Exploration of advanced Docker concepts and workflows
• Refresher on containerization principles and real-world use cases
• Key Docker terminology and core components
• Overview of course goals and the hands-on lab environment

Docker Features and Architecture Overview

• The Docker Engine and its constituent parts
• Docker client, daemon, images, containers, and registries
• Docker architecture and the container lifecycle
• Docker Hub and the use of private registries
• Essential Docker CLI commands for advanced users
• Managing Docker resources and configurations

Docker Setup

• Installation of Docker Community Edition
• Configuration of the Docker environment
• Verification of the Docker installation
• Configuring Docker for development and testing purposes
• Managing Docker configuration files and storage
• Introduction to troubleshooting Docker environments

Building Custom Docker Images

• Understanding Docker image structures and layers
• Crafting efficient Dockerfiles
• Dockerfile instructions and industry best practices
• Managing the build context
• Building and tagging images
• Utilising .dockerignore
• Optimising image size and build performance
• Managing image versions and tags
• Implementing multi-stage Docker builds
• Publishing images to a container registry

Running Multi-Container Applications with Docker Compose

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

Challenges in Deploying Numerous Docker Applications

• Managing containers across multiple hosts
• Application scaling and ensuring availability
• Service discovery mechanisms
• Load balancing strategies
• Managing configurations and secrets
• Challenges associated with persistent storage
• Monitoring and logging at scale
• Rolling updates and application deployment
• Recovery from container and host failures

Maintaining Control Through Container Orchestration

• Introduction to container orchestration
• Benefits and limitations of orchestration
• Comparing Docker Swarm, Kubernetes, and alternative solutions
• Scheduling and workload management
• Service discovery and networking
• Scaling and self-healing capabilities
• Rolling deployments and rollbacks
• Resource management and workload isolation
• Selecting the right orchestration platform

Kubernetes in Practice

• Kubernetes architecture and core components
• Pods, nodes, and clusters
• Deployments and ReplicaSets
• Services and service discovery
• ConfigMaps and Secrets
• Namespaces and resource organisation
• Scaling applications
• Rolling updates and rollbacks
• Basics of Kubernetes networking
• Persistent storage solutions
• Health checks and application resilience
• Deploying Docker applications to Kubernetes
• Troubleshooting Kubernetes workloads

Advanced Docker Networking

• Docker networking architecture
• Bridge, host, overlay, and other network drivers
• Communication between containers
• Communication between containers and external systems
• Creating custom Docker networks
• Network isolation
• Service discovery
• Port publishing and exposure
• Networking in multi-host environments
• Troubleshooting Docker networking 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 for image vulnerabilities
• Secure management of secrets
• 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 containerised applications
• Automating the build process for Docker images
• Automated testing of Docker images and containers
• Image tagging and version control
• Integrating source control with Docker builds
• Automated vulnerability scanning of images
• Publishing images to registries
• Managing build artifacts
• Implementing automated quality checks
• Designing a reproducible Docker CI pipeline

Integrating Docker Applications into Existing Workflows

• Integrating Docker with current development workflows
• Containerising existing applications
• Integrating Docker with CI/CD platforms
• Managing development, testing, staging, and production environments
• Automated deployment strategies
• Configuration management across different environments
• Registry integration
• Deployment approvals and release management
• Monitoring application deployments
• Maintaining consistency across environments

Container and Orchestration Best Practices

• Designing maintainable Docker images
• Optimising container startup and performance
• Container lifecycle management
• Effective resource allocation
• Logging and monitoring strategies
• Configuration and secret management
• High availability and fault tolerance
• Scaling containerised applications
• Secure container deployment
• Versioning and release strategies
• Best practices for orchestration architecture

Troubleshooting

• Diagnosing container startup failures
• Analysing application and container logs
• Inspecting containers and images
• Troubleshooting networking issues
• Resolving storage and volume problems
• Diagnosing image build failures
• Troubleshooting Docker Compose applications
• Investigating resource and performance issues
• Basics of Kubernetes troubleshooting
• Practical troubleshooting exercises

Summary and Conclusion

• Review of key Docker concepts
• Review of image creation and container management
• Review of multi-container application deployment
• Review of orchestration concepts and Kubernetes
• Review of Docker networking and security
• Review of CI/CD integration
• Best practices for containerisation and orchestration
• Final hands-on exercise
• Questions and discussion