You're reading from Mastering KVM Virtualization Design expert data center virtualization solutions with the power of Linux KVM

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781838828714

Length 686 pages

Edition 2nd Edition

Tools

KVM

Concepts

Design

Authors (4):

Humble Devassy Chirammal

Prasad Mukhedkar

Vedran Dakic

Anil Vettathu

View More author details

Table of Contents (22) Chapters

Preface

1. Section 1: KVM Virtualization Basics

2. Chapter 1: Understanding Linux Virtualization FREE CHAPTER

3. Chapter 2: KVM as a Virtualization Solution

4. Section 2: libvirt and ovirt for Virtual Machine Management

5. Chapter 3: Installing KVM Hypervisor, libvirt, and oVirt

6. Chapter 4: Libvirt Networking

7. Chapter 5: Libvirt Storage

8. Chapter 6: Virtual Display Devices and Protocols

9. Chapter 7: Virtual Machines: Installation, Configuration, and Life Cycle Management

10. Chapter 8: Creating and Modifying VM Disks, Templates, and Snapshots

11. Section 3: Automation, Customization, and Orchestration for KVM VMs

12. Chapter 9: Customizing a Virtual Machine with cloud-init

13. Chapter 10: Automated Windows Guest Deployment and Customization

14. Chapter 11: Ansible and Scripting for Orchestration and Automation

15. Section 4: Scalability, Monitoring, Performance Tuning, and Troubleshooting

16. Chapter 12: Scaling Out KVM with OpenStack

17. Chapter 13: Scaling out KVM with AWS

18. Chapter 14: Monitoring the KVM Virtualization Platform

19. Chapter 15: Performance Tuning and Optimization for KVM VMs

20. Chapter 16: Troubleshooting Guidelines for the KVM Platform

21. Other Books You May Enjoy

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Chapter 15: Performance Tuning and Optimization for KVM VMs

When we're thinking about virtualization, there are always questions that keep coming up. Some of them might be simple enough, such as what are we going to get out of virtualization? Does it simplify things? Is it easier to back up? But there are also much more complex questions that start coming up once we've used virtualization for a while. How do we speed things up on a compute level? Is there a way to do more optimization? What can we tune additionally to get some more speed out of our storage or network? Can we introduce some configuration changes that will enable us to get more out of the existing infrastructure without investing a serious amount of money in it?

That's why performance tuning and optimization is so important to our virtualized environments. As we will find out in this chapter, there are loads of different parameters to consider – especially if we didn't design things properly...