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Course Outline

Introduction

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

Docker Features and Architecture Overview

  • The Docker Engine and its constituent parts
  • 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
  • Managing Docker resources and configurations

Docker Setup

  • Installation of Docker Community Edition
  • Configuring the Docker environment
  • Validating the Docker installation
  • Setup for development and testing purposes
  • Managing Docker configuration and storage
  • Basics of Docker environment troubleshooting

Creating Custom Docker Images

  • Understanding Docker images and layering
  • Crafting efficient Dockerfiles
  • Dockerfile instructions and best practices
  • Handling build contexts
  • Building and tagging images
  • Utilizing the .dockerignore file
  • Optimizing image size and build speed
  • Managing image versions and tags
  • Implementing multi-stage Docker builds
  • Publishing images to container registries

Running Multi-Container Applications with Docker Compose

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

Challenges in Deploying Numerous Docker Applications

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

Maintaining Control Through Container Orchestration

  • Introduction to container orchestration
  • Advantages and limitations of orchestration
  • Comparison of Docker Swarm, Kubernetes, and alternatives
  • Scheduling and workload management
  • Service discovery and networking
  • Scaling and self-healing capabilities
  • Rolling deployments and rollback procedures
  • Resource management and workload isolation
  • Selecting the right orchestration platform

Kubernetes in Practice

  • Kubernetes architecture and core components
  • Pods, nodes, and cluster structure
  • Deployments and ReplicaSets
  • Services and service discovery
  • ConfigMaps and Secrets
  • Namespaces and resource organization
  • Application scaling
  • Rolling updates and rollbacks
  • Fundamentals of Kubernetes networking
  • 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
  • Network isolation strategies
  • Service discovery in networks
  • Port publishing and exposure
  • Networking in multi-host environments
  • Troubleshooting Docker networking issues

Docker Security

  • Foundations 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
  • Scanning images for vulnerabilities
  • Secure secret management
  • Protecting Docker registries
  • Network security and isolation
  • Securing the Docker daemon
  • Best practices for container security

Establishing Continuous Integration Workflows for Docker

  • Introduction to CI for containerized applications
  • Automated building of Docker images
  • Automated testing of images and containers
  • Image tagging and version control
  • Integrating source control with Docker builds
  • Automated vulnerability scanning
  • Publishing images to registries
  • Managing build artifacts
  • Implementing automated quality checks
  • Designing reusable Docker CI pipelines

Integrating Docker into Existing Workflows

  • Aligning Docker with current development workflows
  • Containerizing legacy applications
  • Integration 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
  • 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 issues
  • 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
  • Questions and discussion

Requirements

  • Prior hands-on experience with Docker containers.

Intended Audience

  • Developers
  • DevOps Engineers
  • System Administrators
 14 Hours

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