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Mastering KVM Virtualization

Mastering KVM Virtualization - Second Edition

By : Dakic, Chirammal, Mukhedkar, Vettathu
4.2 (9)
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Mastering KVM Virtualization

Mastering KVM Virtualization

4.2 (9)
By: Dakic, Chirammal, Mukhedkar, Vettathu

Overview of this book

Kernel-based Virtual Machine (KVM) enables you to virtualize your data center by transforming your Linux operating system into a powerful hypervisor that allows you to manage multiple operating systems with minimal fuss. With this book, you'll gain insights into configuring, troubleshooting, and fixing bugs in KVM virtualization and related software. This second edition of Mastering KVM Virtualization is updated to cover the latest developments in the core KVM components - libvirt and QEMU. Starting with the basics of Linux virtualization, you'll explore VM lifecycle management and migration techniques. You’ll then learn how to use SPICE and VNC protocols while creating VMs and discover best practices for using snapshots. As you progress, you'll integrate third-party tools with Ansible for automation and orchestration. You’ll also learn to scale out and monitor your environments, and will cover oVirt, OpenStack, Eucalyptus, AWS, and ELK stack. Throughout the book, you’ll find out more about tools such as Cloud-Init and Cloudbase-Init. Finally, you'll be taken through the performance tuning and troubleshooting guidelines for KVM-based virtual machines and a hypervisor. By the end of this book, you'll be well-versed with KVM virtualization and the tools and technologies needed to build and manage diverse virtualization environments.
Table of Contents (22 chapters)
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1
Section 1: KVM Virtualization Basics
4
Section 2: libvirt and ovirt for Virtual Machine Management
11
Section 3: Automation, Customization, and Orchestration for KVM VMs
15
Section 4: Scalability, Monitoring, Performance Tuning, and Troubleshooting

Chapter 13: Scaling out KVM with AWS

Virtualization is a hard problem if you take a look at it up close – it is complicated to emulate complete computers in order to be able to run operating systems on them. For obvious reasons, getting those virtual machines into a cloud is even harder. After that, things really start to get messy. Conceptually, creating clusters of machines that can run on demand is even more complicated, based on the sheer number of machines that must run at the same time. Also, there's a need to create not only emulated computers but also all the networking and infrastructure to support larger deployments. Creating a global cloud – one that not only runs millions of machines but is also almost omnipresent in even the most remote parts of the globe – is a task that few companies have ever tried, and only a couple have succeeded. This chapter will cover those big cloud providers in general, and then Amazon, as the biggest of them all. Our...

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Mastering KVM Virtualization
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