You're reading from Implementing GitOps with Kubernetes Automate, manage, scale, and secure infrastructure and cloud-native applications on AWS and Azure

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835884225

Length 444 pages

Edition 1st Edition

Languages

Python

Tools

Argo CD

Concepts

Artificial Intelligence

Authors (2):

Artem Lajko

Pietro Libro

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Understanding GitOps via Uncomplicated Orchestrations/ Kubernetes FREE CHAPTER

2. Chapter 1: An Introduction to GitOps

3. Chapter 2: Navigating Cloud-native Operations with GitOps

4. Chapter 3: Version Control and Integration with Git and GitHub

5. Chapter 4: Kubernetes with GitOps Tools

6. Part 2: Harnessing Advanced Orchestrations, Culture, and Control in GitOps Practices

7. Chapter 5: GitOps at Scale and Multitenancy

8. Chapter 6: GitOps Architectural Designs and Operational Control

9. Chapter 7: Cultural Transformation in IT for Embracing GitOps

10. Part 3: Hands-on Automating Infrastructure and CI/CD with GitOps

11. Chapter 8: GitOps with OpenShift

12. Chapter 9: GitOps for Azure and AWS Deployments

13. Chapter 10: GitOps for Infrastructure Automation – Terraform and Flux CD

14. Chapter 11: Deploying Real-World Projects with GitOps on Kubernetes

15. Part 4: Operational Excellence Through GitOps Best Practices

16. Chapter 12: Observability with GitOps

17. Chapter 13: Security with GitOps

18. Chapter 14: FinOps, Sustainability, AI, and Future Trends for GitOps

19. Index

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Optimizing resource usage

To optimize resource usage in Kubernetes, setting up resource requests and limits is crucial. These settings ensure that pods receive the right amount of CPU and memory resources to function properly while also preventing any single application from consuming excessive cluster resources, which could affect other applications:

Requests: These are the amount of resources Kubernetes guarantees for a container. If a container requires more resources than its request and they are available on the node, it can consume more.
Limits: This is the maximum amount of resources a container can use. If a container tries to exceed this limit, the system will throttle its CPU usage. If the container exceeds...