Training > Cloud and Containers > Containers for Developers and Quality Assurance (LFD254)
Training Course

Containers for Developers and Quality Assurance (LFD254)

Master the art of building, packaging and running container-based applications with an open container ecosystem, and learn how to deploy those applications at scale using Kubernetes.

Who Is It For

The course is designed for Software Developers, Quality Assurance Engineers, and anyone else looking to build a solid foundation on container technologies and understand the open container ecosystem as a whole.
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What You’ll Learn

In this course, you will learn about the open container ecosystem and how to run, operate and troubleshoot containers. You will also learn how to build container images and use tools such as Buildah, Podman and Skopeo. You will become familiar with the basics of container networking and explore different storage concepts. The course will also teach you how to build and deploy a microservices stack with Docker Compose as well as how to deploy containers in production. It will also discuss Kubernetes key concepts and walk you through the process of writing Kubernetes native pipelines with Tekton.
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What It Prepares You For

Upon completion of this course, you should be able to package and deliver applications as containers, master the art of writing Dockerfiles, and use containers technology for quality assurance to deploy container-based workloads in development, QA and production environments with technologies such as Docker Compose, Kubernetes, GitOps, etc.
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Course Outline
Chapter 1. Course Introduction
Chapter 2. Introduction to Open Container Ecosystem
Chapter 3. Run and Operate Containers
Chapter 4. Building Container Images
Chapter 5. Advanced Image Building and Distribution
Chapter 6. Developing with Alternative Tools - Buildah, Podman, Skopeo
Chapter 7. Container Networking and Storage
Chapter 8. Building and Deploying Microservices Stack with Docker Compose
Chapter 9. Mini Project 1
Chapter 10. Beyond Development - Deploying Containers in Production
Chapter 11. Kubernetes - Pods, Namespaces and ReplicaSets
Chapter 12. Kubernetes - Services, Deployments, Storage
Chapter 13. Mini Project 2
Chapter 14. Kubernetes Native CI/CD

Prerequisites
  • Experience with software development/delivery
  • Understanding of Jenkins, Git, etc.
  • Understanding of cloud native/microservices applications
  • Google Cloud Account
  • Laptop/desktop with Windows/Mac OS
  • Minimum memory: 8GB
  • CPUs: 4
  • Core disk space: 10GB 
  • Docker Desktop (comes with Kubernetes)
  • Internet connection
Lab Info
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider, or if the cloud provider’s terms and conditions change.