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)

Overcommitment considerations

We have already taken into consideration the need for CPU-supporting virtualization in Chapter 1, Designing OpenStack Cloud Architectural Consideration. What we need to understand now is the number of cores needed, which might affect the CPU power. Remember, for example, that hyper-threading is a highly recommended option for your CPU per compute node in order to double the number of existing cores.

It would be great if you could afford such powerful technology, which is common nowadays. On the other hand, in many cases, the physical compute nodes you purchase might be more powerful than is needed. To avoid such waste, you should keep in mind that sizing your compute nodes is important.

However, this catch-all formula that is applicable in all cases won't be easy to find. You will need to work through three main steps:

  1. Estimate a sample calculation for the CPU and RAM size.
  2. Use...