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Course Outline

Introduction

  • Explore advanced Docker concepts and typical workflows
  • Revisit fundamental containerization principles and real-world use cases
  • Key Docker terminology and essential components
  • Course goals and an overview of the hands-on environment

Docker Features and Architecture Overview

  • The Docker Engine and its internal components
  • Understanding the client, daemon, images, containers, and registries
  • Docker architecture and the container lifecycle
  • Docker Hub and the use of private registries
  • Advanced Docker CLI usage
  • Managing Docker resources and configuration settings

Setting Up Docker

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

Creating Custom Docker Images

  • Comprehending Docker images and layering
  • Authoring effective Dockerfiles
  • Dockerfile instructions and industry best practices
  • Managing the build context
  • Building and tagging images
  • Utilizing .dockerignore
  • Optimizing image size and build speed
  • Managing image versions and tags
  • Implementing multi-stage Docker builds
  • Publishing images to a container registry

Managing Multi-Container Applications with Docker Compose

  • Getting started with Docker Compose
  • Defining services through Compose files
  • Setting up networks and volumes
  • Handling environment variables
  • Managing service dependencies and startup sequences
  • Running and scaling multiple services
  • Building application images using Compose
  • Managing application configurations
  • Debugging multi-container setups
  • Docker Compose best practices

Challenges in Deploying Numerous Docker Applications

  • Managing containers across multiple hosts
  • Ensuring application scaling and availability
  • Implementing service discovery
  • Configuring load balancing
  • Managing configurations and secrets
  • Addressing persistent storage challenges
  • Monitoring and logging at scale
  • Performing rolling updates and application deployments
  • Recovering from container and host failures

Maintaining Control via Container Orchestration

  • Introduction to container orchestration
  • Advantages and constraints of orchestration
  • Comparison of Docker Swarm, Kubernetes, and other platforms
  • Scheduling and workload management
  • Service discovery and networking
  • Scaling and self-healing capabilities
  • Executing rolling deployments and rollbacks
  • Resource management and workload isolation
  • Choosing the right orchestration platform

Kubernetes in Practice

  • Kubernetes architecture and core elements
  • 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
  • Foundations 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
  • Interactions between containers and external systems
  • Creating custom Docker networks
  • Network isolation strategies
  • Service discovery mechanisms
  • Port publishing and exposure
  • Networking in multi-host setups
  • 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 for image vulnerabilities
  • Secure management of secrets
  • Protecting 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 apps
  • Automating Docker image builds
  • Automated testing of images and containers
  • Image tagging and version control
  • Linking source control with Docker builds
  • Automated vulnerability scanning
  • Publishing images to registries
  • Managing build artifacts
  • Implementing automated quality checks
  • Designing reproducible Docker CI pipelines

Integrating Docker Applications into Existing Workflows

  • Embedding Docker into current development workflows
  • Containerizing legacy applications
  • Connecting Docker with CI/CD platforms
  • Managing dev, test, staging, and production environments
  • Automated deployment strategies
  • Configuration management across environments
  • Registry integration
  • Deployment approvals and release management
  • Monitoring application deployments
  • Ensuring 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
  • Orchestration architecture best practices

Troubleshooting

  • Diagnosing container startup failures
  • Analyzing application and container logs
  • Inspecting containers and images
  • Troubleshooting network issues
  • Resolving storage and volume problems
  • Diagnosing image build failures
  • Troubleshooting Docker Compose applications
  • Investigating 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
  • 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
  • Q&A and discussion

Requirements

  • Prior hands-on experience working with Docker containers.

Target Audience

  • Developers
  • DevOps engineers
  • System administrators
 14 Hours

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