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
.dockerignorefile - 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
Testimonials (7)
The trainer's broad knowledge, his abilities to solve issues that spontaneously occurred during the practice sessions. Also, the exercises themselves are adequate to help fix the subjects contained in the course.
Cosmin - Ness Digital Engineering
Course - Advanced Docker
The pace and the fact that we went in depth really quickly but I think we could went more in depth even from first day (considering that it is a docker advanced training, we suppose that some basic docker knowledge is there).
SORIN ROMAN - Ness Digital Engineering
Course - Advanced Docker
the trainer is a nice person and explained everything very well, in a structured way that makes sense and flows. cool exercises for practice
Andreas - Ness Digital Engineering
Course - Advanced Docker
The training had a good pace, tailored to the experience of every participant. Also, it has a nice balance of theoretical notions and practical exercises.
Laurentiu - Ness Digital Engineering
Course - Advanced Docker
The structure and the way it was presented. To me, this training was like a journey: from app to docker containers, to kubernetes. The exercises were engaging and on point
Andrei - Ness Digital Engineering
Course - Advanced Docker
The simple explanation and that the course was didactic
Diana Martinez - AT&T
Course - Advanced Docker
The instructor is a well-experienced developer with Docker and he likes to share his experiences with the group. DaDesktop is a very nice platform to work with.