Book Image

Mastering RabbitMQ

By : Yusuf Aytas, Emrah Ayanoglu, Dotan Nahum
Book Image

Mastering RabbitMQ

By: Yusuf Aytas, Emrah Ayanoglu, Dotan Nahum

Overview of this book

RabbitMQ is one of the most powerful Open Source message broker software, which is widely used in tech companies such as Mozilla, VMware, Google, AT&T, and so on. RabbitMQ gives you lots of fantastic and easy-to-manage functionalities to control and manage the messaging facility with lots of community support. As scalability is one of our major modern problems, messaging with RabbitMQ is the main part of the solution to this problem This book explains and demonstrates the RabbitMQ server in a detailed way. It provides you with lots of real-world examples and advanced solutions to tackle the scalability issues. You’ll begin your journey with the installation and configuration of the RabbitMQ server, while also being given specific details pertaining to the subject. Next, you’ll study the major problems that our server faces, including scalability and high availability, and try to get the solutions for both of these issues by using the RabbitMQ mechanisms. Following on from this, you’ll get to design and develop your own plugins using the Erlang language and RabbitMQ’s internal API. This knowledge will help you to start with the management and monitoring of the messages, tools, and applications. You’ll also gain an understanding of the security and integrity of the messaging facilities that RabbitMQ provides. In the last few chapters, you will build and keep track of your clients (senders and receivers) using Java, Python, and C#.
Table of Contents (18 chapters)
Mastering RabbitMQ
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 4. Clustering and High Availability

Dan Kegel published his well-known problem, C10K in 1999. The problem simply arose from handling 10k simultaneous clients on the web servers. Currently, we have to handle more than 100k simultaneous clients on our web servers or on our software systems.

C10K is a great start to solve the scalability problem; however, we have a much bigger problem on our hands now. If we return to messaging systems and RabbitMQ, we have to handle lots of simultaneous messages; however, we don't have a chance to handle all simultaneous messages in a single RabbitMQ server.

Anyway, RabbitMQ has great skills to handle lots of messages in a single machine, such as more than 50k messages per second according to VMware Performance Bookmarks; however, as we said earlier, we need more than that. So we have to use multiple RabbitMQ servers. As a result, we need to create clusters of the RabbitMQ server to handle lots of messages per second. High availability is directly related...