Advanced Docker Training Course

Introduction

• Introduction to advanced Docker concepts and workflows
• Review of containerization principles and use cases
• Docker terminology and core components
• Overview of the course objectives and hands-on environment

Overview of Docker Features and Architecture

• Docker Engine and its components
• Docker client, daemon, images, containers, and registries
• Docker architecture and container lifecycle
• Docker Hub and private registries
• Docker CLI fundamentals for advanced users
• Managing Docker resources and configurations

Setting up Docker

• Installing Docker Community Edition
• Configuring the Docker environment
• Verifying the Docker installation
• Configuring Docker for development and testing
• Managing Docker configuration and storage
• Introduction to Docker environment troubleshooting

Building Your Own Docker Images

• Understanding Docker images and layers
• Writing effective Dockerfiles
• Dockerfile instructions and best practices
• Managing build context
• Building and tagging images
• Using .dockerignore
• Optimizing image size and build performance
• Managing image versions and tags
• Multi-stage Docker builds
• Publishing images to a container registry

Running Multi-Container Docker Applications with Docker Compose

• Introduction to Docker Compose
• Defining services with Compose files
• Configuring networks and volumes
• Managing environment variables
• Service dependencies and startup order
• Running and scaling multiple services
• Building application images with Compose
• Managing application configuration
• Debugging multi-container applications
• Compose best practices

The Challenges of Deploying Many Docker Applications

• Managing containers across multiple hosts
• Application scaling and availability
• Service discovery
• Load balancing
• Configuration and secret management
• Persistent storage challenges
• Monitoring and logging at scale
• Rolling updates and application deployment
• Recovery from container and host failures

How Container Orchestration Helps You Maintain Control

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

Kubernetes in Action

• 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
• 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
• Custom Docker networks
• Network isolation
• Service discovery
• Port publishing and exposure
• Networking in multi-host environments
• Troubleshooting Docker networking

Docker Security

• Docker security fundamentals
• Container isolation and security boundaries
• Running containers with appropriate privileges
• Managing users and permissions inside containers
• Linux capabilities and security controls
• Securing Docker images
• Image vulnerability scanning
• Managing secrets securely
• Securing Docker registries
• Network security and isolation
• Docker daemon security
• Container security best practices

Setting up a Continuous Integration Workflow for Docker Applications

• Introduction to CI for containerized applications
• Building Docker images automatically
• 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 an Existing Workflow

• Integrating Docker with existing 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

Container and Orchestration Best Practices

• 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
• Orchestration architecture best practices

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
• Kubernetes troubleshooting fundamentals
• 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
• Containerization and orchestration best practices
• Final hands-on exercise
• Questions and discussion