Advanced Docker Training Course

Introduction

• Exploration of advanced Docker concepts and workflows
• Revisiting containerization principles and practical use cases
• Key Docker terminology and essential components
• Overview of course goals and the hands-on learning environment

Overview of Docker Features and Architecture

• The Docker Engine and its constituent parts
• Understanding the client, daemon, images, containers, and registries
• Docker architecture and the lifecycle of a container
• Docker Hub and the use of private registries
• Advanced Docker CLI capabilities
• Managing Docker resources and configuration settings

Setting up Docker

• Installation of Docker Community Edition
• Configuring the Docker operating environment
• Verification of the Docker installation
• Setup for development and testing purposes
• Management of Docker configuration and storage
• Basic strategies for troubleshooting the Docker environment

Building Your Own Docker Images

• Comprehending Docker images and their layered structure
• Authoring efficient Dockerfiles
• Applying Dockerfile instructions and best practices
• Managing the build context
• Constructing and tagging images
• Utilizing .dockerignore
• Optimizing image size and build efficiency
• Handling image versions and tagging strategies
• Implementing multi-stage Docker builds
• Publishing images to a container registry

Running Multi-Container Docker Applications with Docker Compose

• Introduction to Docker Compose
• Defining services within Compose files
• Configuring networks and data volumes
• Handling environment variables
• Managing service dependencies and startup sequences
• Running and scaling multiple services concurrently
• Building application images using Compose
• Managing application configuration settings
• Debugging multi-container setups
• Best practices for using Docker Compose

The Challenges of Deploying Many Docker Applications

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

How Container Orchestration Helps You Maintain Control

• Foundations of container orchestration
• Benefits and constraints of orchestration platforms
• Comparing Docker Swarm, Kubernetes, and alternative solutions
• Scheduling and workload management
• Service discovery and networking protocols
• Scaling and self-healing capabilities for applications
• Performing rolling deployments and rollbacks
• Resource management and workload isolation
• Selecting the right orchestration platform

Kubernetes in Action

• Kubernetes architecture and core components
• Understanding Pods, nodes, and clusters
• Deployments and ReplicaSets
• Services and service discovery
• Utilizing ConfigMaps and Secrets
• Organizing resources with Namespaces
• Scaling applications
• Executing rolling updates and rollbacks
• Foundational Kubernetes networking
• Implementing persistent storage
• Health checks and ensuring application resilience
• Deploying Docker applications onto Kubernetes
• Troubleshooting Kubernetes workloads

Advanced Docker Networking

• Docker networking architecture
• Bridge, host, overlay, and other network drivers
• Facilitating container-to-container communication
• Enabling communication between containers and external systems
• Creating custom Docker networks
• Implementing network isolation
• Utilizing service discovery
• Port publishing and exposure strategies
• Networking in multi-host environments
• Troubleshooting Docker networking issues

Docker Security

• Fundamentals of Docker security
• Container isolation and defining security boundaries
• Running containers with appropriate privilege levels
• Managing users and permissions within containers
• Linux capabilities and security controls
• Securing Docker images
• Scanning images for vulnerabilities
• Secure management of secrets
• Protecting Docker registries
• Network security and isolation techniques
• Harden the Docker daemon
• Best practices for container security

Setting up a Continuous Integration Workflow for Docker Applications

• Introduction to CI for containerized applications
• Automating the building of Docker images
• Automated testing of Docker images and containers
• Managing image tagging and versioning
• Linking source control with Docker builds
• Automated vulnerability scanning of images
• Publishing images to registries
• Managing build artifacts
• Implementing automated quality checks
• Designing a repeatable Docker CI pipeline

Integrating Docker Applications into an Existing Workflow

• Integrating Docker with current development workflows
• Containerizing legacy or existing applications
• Connecting Docker with CI/CD platforms
• Managing development, testing, staging, and production environments
• Implementing automated deployment strategies
• Configuration management across various environments
• Registry integration
• Managing deployment approvals and releases
• Monitoring application deployments
• Maintaining consistency across all environments

Container and Orchestration Best Practices

• Designing maintainable Docker images
• Optimizing container startup time and performance
• Managing the container lifecycle
• Effective resource allocation
• Strategies for logging and monitoring
• Configuration and secret management
• Achieving high availability and fault tolerance
• Scaling containerized applications
• Secure deployment of containers
• Versioning and release strategies
• Best practices for orchestration architecture

Troubleshooting

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

Summary and Conclusion

• Recap 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
• Containerization and orchestration best practices
• Final hands-on exercise
• Open questions and discussion