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)

Benchmarking as a Service (BaaS)

As a cloud administrator, monitoring resource usage while running the cloud infrastructure is necessary, but not sufficient. Monitoring helps to identify the possible reasons for a resource's congestion that would trigger a custom alert so that the issues can be immediately resolved. However, that won't be the end of the process. Monitoring data from certain events should be kept as a reference to help you to understand the trend of the cloud's performance. Gathering performance measurements before going to production does not seem a simple exercise, since workloads cannot be predictable at the first run. For this matter, we will need to adopt an approach that ensures an accurate performance measurement. Before tackling this topic, we will first need to identify the required performance areas. Availability, response time, latency...