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Becoming KCNA Certified

You're reading from   Becoming KCNA Certified Build a strong foundation in cloud native and Kubernetes and pass the KCNA exam with ease

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804613399
Length 306 pages
Edition 1st Edition
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Author (1):
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Dmitry Galkin Dmitry Galkin
Author Profile Icon Dmitry Galkin
Dmitry Galkin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: The Cloud Era
2. Chapter 1: From Cloud to Cloud Native and Kubernetes FREE CHAPTER 3. Chapter 2: Overview of CNCF and Kubernetes Certifications 4. Part 2: Performing Container Orchestration
5. Chapter 3: Getting Started with Containers 6. Chapter 4: Exploring Container Runtimes, Interfaces, and Service Meshes 7. Part 3: Learning Kubernetes Fundamentals
8. Chapter 5: Orchestrating Containers with Kubernetes 9. Chapter 6: Deploying and Scaling Applications with Kubernetes 10. Chapter 7: Application Placement and Debugging with Kubernetes 11. Chapter 8: Following Kubernetes Best Practices 12. Part 4: Exploring Cloud Native
13. Chapter 9: Understanding Cloud Native Architectures 14. Chapter 10: Implementing Telemetry and Observability in the Cloud 15. Chapter 11: Automating Cloud Native Application Delivery 16. Part 5: KCNA Exam and Next Steps
17. Chapter 12: Practicing for the KCNA Exam with Mock Papers 18. Chapter 13: The Road Ahead 19. Assessments 20. Index 21. Other Books You May Enjoy

Summary

In this chapter, we finally got our hands on Kubernetes. We learned a lot about its architecture, components, and API. Kubernetes clusters consist of control plane (also known as the master) and worker nodes, where control plane nodes run K8s management components and worker nodes run the actual containerized applications with the help of kubelet, container runtime, and kube-proxy. Among the master node components, there’s kube-apiserver, etcd, kube-scheduler, kube-controller-manager, and, optionally, cloud-controller-manager.

We saw that a pod is the smallest deployable unit of Kubernetes and that it allows us to run individual containers as well as multiple containers together on K8s. Containers inside one pod are coupled and can share storage, network, and memory. The secondary container in the pod is typically called the sidecar and can help the container run the main application by doing log aggregation, for example.

The Kubernetes API is declarative. When...

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