Book Image

Extending OpenStack

By : Omar Khedher
Book Image

Extending OpenStack

By: Omar Khedher

Overview of this book

OpenStack is a very popular cloud computing platform that has enabled several organizations during the last few years to successfully implement their Infrastructure as a Service (IaaS) platforms. This book will guide you through new features of the latest OpenStack releases and how to bring them into production straightaway in an agile way. It starts by showing you how to expand your current OpenStack setup and how to approach your next OpenStack Data Center generation deployment. You will discover how to extend your storage and network capacity and also take advantage of containerization technology such as Docker and Kubernetes in OpenStack. Additionally, you'll explore the power of big data as a Service terminology implemented in OpenStack by integrating the Sahara project. This book will teach you how to build Hadoop clusters and launch jobs in a very simple way. Then you'll automate and deploy applications on top of OpenStack. You will discover how to write your own plugin in the Murano project. The final part of the book will go through best practices for security such as identity, access management, and authentication exposed by Keystone in OpenStack. By the end of this book, you will be ready to extend and customize your private cloud based on your requirements.
Table of Contents (12 chapters)

Scheduling and filtering

Cinder provides a mechanism to assign volume management to a specific backend. As we have iterated previously through some of the most commonly used Cinder backends, an OpenStack operator could control the creation of different volumes that correspond to specific backends available in the storage pool. This becomes a very essential part of block storage operation when using a variety of multiple backends. The key component that takes care of automating the placement of new volumes is the cinder-scheduler service.

As shown in the following figure, the cinder-scheduler decides the best backend fit of a newly created volume based in the first place on filter policies. Filters can be applied according to a few storage information capabilities such as drive state, health, space, and types. The second scheduler stage will apply weighing policy if more than one...