Advanced Docker Training Course

Introduction

• Overview of advanced Docker concepts and workflows
• Revisit of containerization principles and applicable use cases
• Docker terminology and core components
• Summary of course objectives and the hands-on learning environment

Overview of Docker Features and Architecture

• Docker Engine and its constituent parts
• Docker client, daemon, images, containers, and registries
• Docker architecture and the container lifecycle
• Docker Hub and private registry solutions
• Docker CLI essentials for advanced users
• Administration of Docker resources and configurations

Setting up Docker

• Installation of Docker Community Edition
• Configuration of the Docker environment
• Verification of the Docker installation
• Configuration of Docker for development and testing purposes
• Management of Docker configuration files and storage
• Basics of troubleshooting Docker environment issues

Building Your Own Docker Images

• Comprehension of Docker images and layering
• Writing efficient Dockerfiles
• Dockerfile instructions and industry best practices
• Management of build context
• Building and tagging images
• Utilizing the .dockerignore file
• Optimization of image size and build performance
• Managing image versions and tagging strategies
• Multi-stage Docker builds
• Publishing images to a container registry

Running Multi-Container Docker Applications with Docker Compose

• Introduction to Docker Compose
• Definition of services using Compose files
• Configuration of networks and volumes
• Management of environment variables
• Service dependencies and startup sequencing
• Execution and scaling of multiple services
• Building application images via Compose
• Managing application configuration
• Debugging multi-container applications
• Best practices for Compose implementation

The Challenges of Deploying Many Docker Applications

• Managing containers across distributed hosts
• Application scaling and availability strategies
• Service discovery mechanisms
• Load balancing techniques
• Configuration and secret management
• Challenges related to persistent storage
• Monitoring and logging at scale
• Rolling updates and application deployment processes
• Recovery procedures for container and host failures

How Container Orchestration Helps You Maintain Control

• Introduction to container orchestration concepts
• Advantages and limitations of orchestration systems
• Comparison of Docker Swarm, Kubernetes, and alternative solutions
• Scheduling and workload management
• Service discovery and networking
• Application scaling and self-healing capabilities
• Rolling deployments and rollback procedures
• Resource management and workload isolation
• Selecting the appropriate orchestration platform

Kubernetes in Action

• Kubernetes architecture and core components
• Pods, nodes, and cluster management
• Deployments and ReplicaSets
• Services and service discovery
• ConfigMaps and Secrets management
• Namespaces and resource organization
• Application scaling techniques
• Rolling updates and rollback strategies
• Foundations of Kubernetes networking
• Persistent storage integration
• 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
• Interaction between containers and external systems
• Creation of custom Docker networks
• Network isolation techniques
• Service discovery methods
• Port publishing and exposure strategies
• Networking in multi-host environments
• Troubleshooting Docker networking issues

Docker Security

• Foundations of Docker security
• Container isolation and security boundaries
• Executing containers with appropriate privilege levels
• Managing users and permissions within containers
• Linux capabilities and security controls
• Securing Docker images
• Vulnerability scanning of images
• Secure management of secrets
• Securing Docker registries
• Network security and isolation measures
• Docker daemon security hardening
• Best practices for container security

Setting up a Continuous Integration Workflow for Docker Applications

• Introduction to CI for containerized applications
• Automated building of Docker images
• Automated testing of Docker images and containers
• Image tagging and version management
• Integration of source control with Docker builds
• Automated image vulnerability scanning
• Publishing images to registries
• Management of build artifacts
• Implementation of automated quality checks
• Designing a reproducible Docker CI pipeline

Integrating Docker Applications into an Existing Workflow

• Integration of Docker with current development workflows
• Containerization of existing applications
• Integration of Docker with CI/CD platforms
• Management of development, testing, staging, and production environments
• Automated deployment strategies
• Configuration management across various environments
• Registry integration
• Deployment approvals and release management
• Monitoring of application deployments
• Maintenance of consistency across environments

Container and Orchestration Best Practices

• Design of maintainable Docker images
• Optimization of 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

• Diagnosis of container startup failures
• Analysis of application and container logs
• Inspection of containers and images
• Resolution of networking issues
• Resolution of storage and volume problems
• Diagnosis of image build failures
• Troubleshooting Docker Compose applications
• Investigation of 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
• Containerization and orchestration best practices
• Final hands-on exercise
• Open discussion and Q&A