Containerization and Infrastructure with Docker and Kubernetes

Containerization and Infrastructure with Docker and Kubernetes [2 courses]

Learn containerization with Docker and container orchestration with Kubernetes.

• Course 1

  Docker Fundamentals

  6h

  Create reproducible data engineering environments with Docker, ensuring pipelines run the same across machines and teams.

  Course Objectives ▾

  • Install Docker Desktop and run containers using both CLI and GUI tools
  • Pull images from Docker Hub and manage container lifecycles
  • Run PostgreSQL databases in containers and connect to them for data workflows
  • Use Docker volumes to persist data across container restarts
  • Define multi-service applications using Docker Compose with environment variables and service connections
  • Build custom Docker images for Python data processing scripts
  • Implement health checks to prevent race conditions in multi-container applications
  • Apply multi-stage builds to reduce image size and separate build from runtime concerns
  • Harden containers by running as non-root users and externalizing secrets with environment files
• Course 2

  Introduction to Kubernetes

  6h

  Orchestrate containerized applications with Kubernetes, automating deployment, scaling, networking, and resilience for production systems.

  Course Objectives ▾

  • Deploy applications to Kubernetes clusters and understand core components including pods, deployments, and services
  • Configure Services for stable networking that survives pod restarts and IP address changes
  • Implement rolling updates for zero-downtime deployments and use namespaces for environment separation
  • Add health checks and resource limits to build production-ready applications for shared clusters
  • Manage configuration and secrets externally using ConfigMaps and Secrets