Advanced Docker Training Course

Introduction

• Overview of advanced Docker concepts and workflows
• Review of containerization principles and practical use cases
• Essential Docker terminology and core components
• Course objectives and an introduction to the hands-on environment

Docker Features and Architecture Overview

• Docker Engine and its constituent parts
• Docker client, daemon, images, containers, and registries
• Docker architecture and the container lifecycle
• Docker Hub and private registry usage
• Docker CLI basics for advanced users
• Managing Docker resources and configurations

Setting up Docker

• 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 and storage
• Introduction to troubleshooting the Docker environment

Building Custom Docker Images

• Understanding Docker images and layer structure
• Writing efficient Dockerfiles
• Dockerfile instructions and best practices
• Managing the build context
• Building and tagging images
• Utilizing the .dockerignore file
• Optimizing 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 configuration
• 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 configuration and secrets
• Challenges associated with persistent storage
• Monitoring and logging at scale
• Rolling updates and application deployment processes
• Recovery from container and host failures

Maintaining Control with Container Orchestration

• Introduction to container orchestration
• Benefits and limitations of orchestration tools
• Comparison of Docker Swarm, Kubernetes, and other solutions
• Scheduling and workload management
• Service discovery and networking
• Scaling and self-healing application features
• Rolling deployments and rollback procedures
• Resource management and workload isolation
• Selecting an appropriate 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 organization
• Scaling applications
• Rolling updates and rollbacks
• Kubernetes networking fundamentals
• 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
• Container-to-container communication
• Communication between containers and external systems
• Creating custom Docker networks
• Implementing 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
• Image vulnerability scanning
• 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 containerized applications
• Automating the build of Docker images
• Automated testing of Docker images and containers
• Image tagging and version management
• Integrating source control with Docker builds
• Automated image vulnerability scanning
• Publishing images to registries
• Managing build artifacts
• Implementing automated quality checks
• Designing a repeatable Docker CI pipeline

Integrating Docker Applications into Existing Workflows

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

Best Practices for Containers and Orchestration

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

Troubleshooting

• Diagnosing container startup failures
• Investigating 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
• Fundamentals 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 containerization and orchestration
• Final hands-on exercise
• Questions and discussion