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

Case study


For this study, we'll choose the world of web scraping. Python is universally known for this use, because if you're a python programmer, you're one of the following:

  • A full-stack Python programmer, developing client and server applications

  • A data scientist, using NumPy, scikit-learn, and so on

  • A systems programmer, as Python comes standard with most, if not all, Linux distributions

  • A big-data programmer, utilizing Hadoop and Python-Hadoop streaming or Python for building map-reduce jobs

A successful web scraping infrastructure for a successful product generates a lot of data (a big data programmer) that we can learn from (a data scientist); it is rather taxying to properly build at scale (a systems programmer), and somehow, you'd want to turn all this into a product (a full stack Python programmer).

As you see, once you cover web scraping, you can build a lot of products; you can also get into a lot of technological domains in the same programming language and platform. And if this...