Docker Intermediate
Course Overview
This in-depth course propels you beyond Docker basics, equipping you with the skills to optimize Docker for production-level building, deployment, and management of containerized applications at scale. You'll master advanced image building techniques, seamlessly integrate Docker with CI/CD pipelines, and gain expertise in container networking and storage solutions. Security is a top priority, so the course emphasizes securing your containerized environment and equips you with tools for efficient debugging and monitoring.
Format
- Duration: 2 days
- Format: In-person or Remote, Instructor-led training (ILT)
- Course Difficulty: Intermediate
- Experience Level: Intermediate
- Hands-on Labs: Cloud based
Prerequisites
- Linux Basics
- Docker basics
Course contents
Day 1: Docker in production
Module 1: Image build process optimization
- Building efficient, secure, multi-platform images
- Utilizing the build cache
- Techniques for reducing image size and image layers
- Optimizing Dockerfile using AI tools
- Security consideration for building images
Module 2: Docker DevOps with CI/CD
- Benefits of integrating docker with CI/CD
- Managing containerized applications with CI/CD
- Using Infrastructure as a code tools with CI/CD
- Optimizing and securing CI/CD
- CI/CD Best practices
Module 3: Container Networking
- Docker networking Overview
- Review the supported network types
- Managing virtual docker networks
- Docker network services
- Troubleshoot networking issues
Module 4: Handling persistent Storage
- Container and application data lifecycle
- Docker volume types
- Managing Docker volumes
- Backup and restore of persistent data
- External storage providers
Day 2: Operating Docker infrastructure
Module 5: Container Security
- Understanding the container thread landscape
- Image scanning and vulnerability management
- The Least Privilege Principle
- Securing Dockerfile
- Best practices for secrets management
Module 6: Debugging Containerized Applications
- Challenges of debugging containerized applications
- Using Logs, metrics and traces
- Language specific debugging tools
- Debugging Multi-container applications
- Debugging on a remote server
Module 7: Docker Observability
- What is observability and why it is important?
- Review the three pillars of observability - logs, metrics and traces.
- Data sources for Docker observability
- Log management using logging drivers
- Monitoring and alerting using cAdvisor, Prometheus and Grafana
Module 8: Container Orchestration
- Challenges for managing containers at scale
- What is container orchestration?
- Docker Compose
- Container orchestration platforms - Docker Swarm, Kubernetes, OpenShift
- Container orchestration in the cloud
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