You're reading from Modern DevOps Practices Implement, secure, and manage applications on the public cloud by leveraging cutting-edge tools

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781805121824

Length 568 pages

Edition 2nd Edition

Languages

Python

Tools

Ansible

Concepts

DevOps

Author (1):

Gaurav Agarwal

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Table of Contents (24) Chapters

Preface

1. Part 1:Modern DevOps Fundamentals

2. Chapter 1: The Modern Way of DevOps FREE CHAPTER

3. Chapter 2: Source Code Management with Git and GitOps

4. Chapter 3: Containerization with Docker

5. Chapter 4: Creating and Managing Container Images

6. Part 2:Container Orchestration and Serverless

7. Chapter 5: Container Orchestration with Kubernetes

8. Chapter 6: Managing Advanced Kubernetes Resources

9. Chapter 7: Containers as a Service (CaaS) and Serverless Computing for Containers

10. Part 3:Managing Config and Infrastructure

11. Chapter 8: Infrastructure as Code (IaC) with Terraform

12. Chapter 9: Configuration Management with Ansible

13. Chapter 10: Immutable Infrastructure with Packer

14. Part 4:Delivering Applications with GitOps

15. Chapter 11: Continuous Integration with GitHub Actions and Jenkins

16. Chapter 12: Continuous Deployment/Delivery with Argo CD

17. Chapter 13: Securing and Testing Your CI/CD Pipeline

18. Part 5:Operating Applications in Production

19. Chapter 14: Understanding Key Performance Indicators (KPIs) for Your Production Service

20. Chapter 15: Implementing Traffic Management, Security, and Observability with Istio

21. Index

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Appendix: The Role of AI in DevOps

Kubernetes architecture

Kubernetes is made of a cluster of nodes. There are two possible roles for nodes in Kubernetes – control plane nodes and worker nodes. The control plane nodes control the Kubernetes cluster, scheduling the workloads, listening to requests, and other aspects that help run your workloads and make the cluster function. They typically form the brain of the cluster.

On the other hand, the worker nodes are the powerhouses of the Kubernetes cluster and provide raw computing for running your container workloads.

Kubernetes architecture follows the client-server model via an API server. Any interaction, including internal interactions between components, happens via the Kubernetes API server. Therefore, the Kubernetes API server is known as the brain of the Kubernetes control plane.

There are other components of Kubernetes as well, but before we delve into the details, let’s look at the following diagram to understand the high-level Kubernetes...