Advanced Docker Training Course

Introduction

• Introduction to advanced Docker concepts and operational workflows
• Revisit of containerization principles and real-world use cases
• Overview of Docker terminology and essential components
• Presentation of course goals and the hands-on environment

Overview of Docker Features and Architecture

• The Docker Engine and its constituent parts
• Understanding the Docker client, daemon, images, containers, and registries
• Docker architecture and the container lifecycle
• Docker Hub and private registry management
• Advanced CLI fundamentals for Docker users
• Administration of Docker resources and configuration settings

Setting up Docker

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

Building Your Own Docker Images

• Comprehending Docker images and layer structure
• Authoring effective Dockerfiles
• Dockerfile directives and industry best practices
• Handling the build context efficiently
• Image construction and tagging strategies
• Utilization of the .dockerignore file
• Optimization of image size and build speed
• Control of image versions and tags
• Implementation of multi-stage Docker builds
• Publication of images to a container registry

Running Multi-Container Docker Applications with Docker Compose

• Familiarization with Docker Compose
• Definition of services via Compose files
• Configuration of networks and volumes
• Management of environment variables
• Handling service dependencies and startup sequences
• Execution and scaling of multiple services
• Construction of application images using Compose
• Oversight of application configuration
• Debugging techniques for multi-container setups
• Best practices for Docker Compose

The Challenges of Deploying Many Docker Applications

• Container management across multiple hosts
• Strategies for application scaling and availability
• Service discovery mechanisms
• Load balancing techniques
• Management of configuration and secrets
• Addressing persistent storage challenges
• Monitoring and logging at scale
• Execution of rolling updates and application deployments
• Recovery procedures for container and host failures

How Container Orchestration Helps You Maintain Control

• Introduction to the concept of container orchestration
• Analysis of orchestration benefits and limitations
• Comparison of Docker Swarm, Kubernetes, and alternative solutions
• Scheduling and workload management strategies
• Service discovery and networking integration
• Scaling and self-healing application features
• Implementation of rolling deployments and rollbacks
• Resource management and workload isolation
• Selection of an appropriate orchestration platform

Kubernetes in Action

• Kubernetes architecture and core structural components
• Understanding Pods, nodes, and clusters
• Management of Deployments and ReplicaSets
• Services and service discovery mechanisms
• Utilization of ConfigMaps and Secrets
• Namespaces and resource organization
• Application scaling techniques
• Rolling updates and rollback processes
• Foundations of Kubernetes networking
• Persistent storage integration
• Health checks and application resilience strategies
• Deployment of Docker applications to Kubernetes
• Troubleshooting methods for Kubernetes workloads

Advanced Docker Networking

• Architecture of Docker networking
• Analysis of Bridge, host, overlay, and other network drivers
• Communication protocols between containers
• Interaction between containers and external systems
• Creation of custom Docker networks
• Implementation of network isolation
• Service discovery techniques
• Port publishing and exposure strategies
• Networking in multi-host environments
• Diagnosis of Docker networking issues

Docker Security

• Foundations of Docker security
• Container isolation and security boundary definition
• Execution of containers with appropriate privilege levels
• User and permission management within containers
• Application of Linux capabilities and security controls
• Protection of Docker images
• Scanning images for vulnerabilities
• Secure management of secrets
• Hardening of Docker registries
• Network security and isolation measures
• Security of the Docker daemon
• Adoption of container security best practices

Setting up a Continuous Integration Workflow for Docker Applications

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

Integrating Docker Applications into an Existing Workflow

• Integration of Docker with current development workflows
• Containerization of legacy applications
• Connection of Docker with CI/CD platforms
• Management of development, testing, staging, and production environments
• Automation of deployment strategies
• Configuration management across various environments
• Registry integration techniques
• 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
• Management of the container lifecycle
• Efficient resource allocation
• Strategies for logging and monitoring
• Management of configuration and secrets
• Ensuring high availability and fault tolerance
• Scaling of containerized applications
• Secure deployment of containers
• Versioning and release strategy implementation
• Best practices for orchestration architecture

Troubleshooting

• Diagnosis of container startup failures
• Investigation of application and container logs
• Inspection of containers and images
• Resolution of networking issues
• Fixing storage and volume problems
• Diagnosis of image build failures
• Troubleshooting Docker Compose applications
• Investigation of 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
• Assessment of multi-container application deployment
• Summary of orchestration concepts and Kubernetes
• Review of Docker networking and security protocols
• Assessment of CI/CD integration
• Reiteration of containerization and orchestration best practices
• Final hands-on exercise
• Open Q&A and discussion