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

Summary


Using RabbitMQ from Ruby is a pleasure. I can personally say that this combination represents a set of two technologies that look so fitting together that one may think they belong together.

We saw how to develop easy workers and simple messaging topologies using the AMQP semantics, Bunny, and a Ruby library for RabbitMQ, which is one of the most advanced out there over multiple platforms and programming languages.

We also saw how to with the little details of AMQP, assuming you want to build on the worker abstraction with background jobs, and you want to build a production proven worker solution with Sneakers.

We also explored Lambda architecture, and we saw how Sneakers helps you build more content into it and how it is able to invest in it for your data processing products.

I can say assuredly that you can take these solutions today and build your data science pipelines on them. It's what I have been doing for the last few years myself. The next chapter will cover Python client programming...