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)

Managing Big Data in OpenStack

"The greater our knowledge increases the more our ignorance unfolds."
–John F. Kennedy

In the previous chapter, we looked at the benefits of using containers for application development and management life cycle. We have seen the OpenStack community's focus on the containerization concept. Integrating amazing projects such as Magnum would help us increase the agility in running and scaling containerized applications in an OpenStack environment. However, there are still other areas that we haven't looked at, concerning the needs of IT organizations. The past decade has shown an impressive increase in data usage that generates more data cycles to analyze and quantify. IT organizations have started to invest in finding the right tools to extract the most valuable results from this immense amount of data in real time. Big data...