Book Image

OpenStack for Architects

By : Michael Solberg, Benjamin Silverman
Book Image

OpenStack for Architects

By: Michael Solberg, Benjamin Silverman

Overview of this book

Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout.
Table of Contents (14 chapters)
OpenStack for Architects
Credits
About the Authors
www.PacktPub.com
Customer Feedback
Preface

Regions, cells, and availability zones


As we mentioned before, OpenStack is designed to be scalable, but not infinitely scalable. There are three different techniques architects can use to segregate an OpenStack cloud: regions, cells, and availability zones. In this section, we'll walk through how each of these concepts maps to hypervisor topologies.

Regions

From an end user's perspective, OpenStack regions are equivalent to regions in Amazon Web Services. Regions live in separate data centers and are often named after their geographical location. If your organization has a data center in Phoenix and one in Raleigh you'll have at least a PHX and a RDU region. Users who want to geographically disperse their workloads will place some of them in PHX and some of them in RDU. Regions have separate API endpoints, and although the Horizon UI has some support for multiple regions, they are essentially entirely separate deployments.

From an architectural standpoint, there are two main design choices...