Course Outline
Introduction
- Overview of advanced Docker concepts and operational workflows
- Recap of containerization principles and applicable use cases
- Key Docker terminology and core components
- Course objectives and an 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
- Utilizing Docker Hub and private registries
- Advanced Docker CLI fundamentals
- Resource and configuration management within Docker
Docker Setup
- Installation of Docker Community Edition
- Configuration of the Docker environment
- Verification of Docker installation status
- Configuring Docker for development and testing purposes
- Managing Docker configuration files and storage
- Initial steps in Docker environment troubleshooting
Creating Custom Docker Images
- Understanding Docker images and their layered structure
- Writing efficient Dockerfiles
- Dockerfile instructions and industry best practices
- Managing the build context
- Building and tagging images effectively
- Utilizing
.dockerignore - Optimizing image size and build performance
- Managing image versions and tagging strategies
- Implementing multi-stage Docker builds
- Publishing images to a container registry
Running Multi-Container Applications with Docker Compose
- Introduction to Docker Compose
- Defining services using Compose files
- Configuring networks and volumes
- Managing environment variables
- Handling service dependencies and startup order
- Running and scaling multiple services
- Building application images via Compose
- Managing application configuration files
- Debugging multi-container applications
- Docker Compose best practices
Challenges in Deploying Multiple Docker Applications
- Managing containers across multiple hosts
- Ensuring application scaling and high availability
- Implementing service discovery
- Configuring load balancing
- Managing configuration and secrets
- Addressing persistent storage challenges
- Monitoring and logging at scale
- Executing rolling updates and application deployments
- Recovering from container and host failures
Maintaining Control Through Container Orchestration
- Introduction to container orchestration concepts
- Benefits and limitations of orchestration
- Comparison of Docker Swarm, Kubernetes, and other solutions
- Scheduling and workload management
- Service discovery and networking strategies
- Scaling and self-healing applications
- Managing rolling deployments and rollbacks
- Resource management and workload isolation
- Selecting the appropriate orchestration platform
Kubernetes in Practice
- Kubernetes architecture and core components
- Understanding Pods, nodes, and clusters
- Deployments and ReplicaSets
- Services and service discovery mechanisms
- ConfigMaps and Secrets
- Namespaces and resource organization
- Scaling applications effectively
- Managing rolling updates and rollbacks
- Kubernetes networking fundamentals
- 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
- Implementing network isolation
- Service discovery mechanisms
- Port publishing and exposure strategies
- Networking in multi-host environments
- Troubleshooting Docker networking issues
Docker Security
- Docker security fundamentals
- Container isolation and security boundaries
- Running containers with appropriate privilege levels
- Managing users and permissions within containers
- Linux capabilities and security controls
- Securing Docker images
- Image vulnerability scanning
- Secure secret management
- Securing Docker registries
- Network security and isolation strategies
- Docker daemon security hardening
- Container security best practices
Establishing Continuous Integration for Docker
- Introduction to CI for containerized applications
- Automating Docker image builds
- Automated testing of Docker images and containers
- Image tagging and version control
- Integrating source control with Docker builds
- Automated image vulnerability scanning
- Publishing images to registries
- Managing build artifacts
- Implementing automated quality checks
- Designing repeatable Docker CI pipelines
Integrating Docker into Existing Workflows
- Integrating Docker with current development workflows
- Containerizing legacy applications
- Integrating Docker 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 all environments
Container and Orchestration Best Practices
- Designing maintainable Docker images
- Optimizing container startup and performance
- Container lifecycle management
- Effective resource allocation
- Logging and monitoring strategies
- Configuration and secret management
- Ensuring high availability and fault tolerance
- Scaling containerized applications
- Secure container deployment practices
- Versioning and release strategies
- Orchestration architecture best practices
Troubleshooting
- Diagnosing container startup failures
- Analyzing application and container logs
- Inspecting containers and images
- Troubleshooting networking issues
- Resolving storage and volume problems
- Diagnosing image build failures
- Troubleshooting Docker Compose applications
- Investigating resource and performance issues
- Kubernetes troubleshooting fundamentals
- Practical troubleshooting exercises
Summary and Conclusion
- Review of key Docker concepts
- Recap 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 questions and discussion
Requirements
- Prior experience working with Docker containers is required.
Target 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.