Book Image

Mastering OpenStack - Second Edition

By : Omar Khedher, Chandan Dutta
Book Image

Mastering OpenStack - Second Edition

By: Omar Khedher, Chandan Dutta

Overview of this book

In this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV. Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Table of Contents (13 chapters)

OpenStack Compute - Choice of Hypervisor and Node Segregation

"Be sure you put your feet in the right place, then stand firm."
Abraham Lincoln

Once the orchestrator has evaluated the instruments that should be integrated on the stage, we still need the players to accomplish the song. All we need are worker horses that do the job of hosting our virtual machines.

The compute nodes should be separately deployed in the cluster, as it forms the resources part of the OpenStack infrastructure. The compute servers are the heart of the cloud computing service, as they provide the resources that are directly used by the end users; it becomes imperative, then, to give attention to the fact that compute node resources should not be overlooked in terms of processing power, memory, network, and storage capability.

From a deployment...