Book Image

Learning RabbitMQ

By : Martin Toshev
Book Image

Learning RabbitMQ

By: Martin Toshev

Overview of this book

RabbitMQ is Open Source Message Queuing software based on the Advanced Message Queue Protocol Standard written in the Erlang Language. RabbitMQ is an ideal candidate for large-scale projects ranging from e-commerce and finance to Big Data and social networking because of its ease of use and high performance. Managing RabbitMQ in such a dynamic environment can be a challenging task that requires a good understanding not only of how to work properly with the message broker but also of its best practices and pitfalls. Learning RabbitMQ starts with a concise description of messaging solutions and patterns, then moves on to concrete practical scenarios for publishing and subscribing to the broker along with basic administration. This knowledge is further expanded by exploring how to establish clustering and high availability at the level of the message broker and how to integrate RabbitMQ with a number of technologies such as Spring, and enterprise service bus solutions such as MuleESB and WSO2. We will look at advanced topics such as performance tuning, secure messaging, and the internals of RabbitMQ. Finally we will work through case-studies so that we can see RabbitMQ in action and, if something goes wrong, we'll learn to resolve it in the Troubleshooting section.

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Learning RabbitMQ
Martin Toshev
Dec, 2015 | 262 pages
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Table of Contents (18 chapters)
Learning RabbitMQ
Learning RabbitMQ
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Introducing RabbitMQ
Introducing RabbitMQ
Enterprise messaging
Understanding RabbitMQ
Case study: CSN (Corporate Social Network)
Summary
Exercises
2
Design Patterns with RabbitMQ
Design Patterns with RabbitMQ
Messaging patterns in RabbitMQ
Point-to-point communication
Publish-subscribe communication
Request-reply communication
Message router
Case study: Initial design of the CSN
Summary
Exercises
3
Administration, Configuration, and Management
Administration, Configuration, and Management
Administering RabbitMQ instances
Installing RabbitMQ plugins
Configuring RabbitMQ instances
Managing RabbitMQ instances
Upgrading RabbitMQ
Summary
Exercises
4
Clustering
Clustering
Benefits of clustering
RabbitMQ clustering support
Case study: scaling the CSN
Summary
Exercises
5
High Availability
High Availability
Benefits of high availability
High availability support in RabbitMQ
Client high availability
Case study: introducing high availability in CSN
Summary
Exercises
6
Integrations
Integrations
Types of integrations
RabbitMQ integrations
RabbitMQ deployment options
Testing RabbitMQ applications
Case study: Integrating CSN with external systems
Summary
Exercises
7
Performance Tuning and Monitoring
Performance Tuning and Monitoring
Performance tuning of RabbitMQ instances
Monitoring of RabbitMQ instances
Comparing RabbitMQ with other message brokers
Case Study : Performance tuning and monitoring of RabbitMQ instances in CSN
Summary
Exercises
8
Troubleshooting
Troubleshooting
General troubleshooting approach
Problems with starting/stopping RabbitMQ nodes
Problems with message delivery
Summary
Exercises
9
Security
Security
Types of threats
Authentication
Authorization
Secure communication
Penetration testing
Case study – securing CSN
Summary
Exercises
10
Internals
Internals
High level architecture of RabbitMQ
Overview of RabbitMQ components
Case Study: Developing a RabbitMQ plugin for CSN
Summary
Exercises
Contributing to RabbitMQ
Contributing to RabbitMQ
RabbitMQ community
RabbitMQ repositories
Points for contribution
Index
Index

About the Reviewers

Van Thoai Nguyen has worked in the software industry for a decade in various domains. In 2012, he joined BuzzNumbers as one of the core senior software engineers, where he had opportunities to design, implement, and apply many cool technologies, tools, and frameworks. A RabbitMQ cluster was employed as the backbone of the real-time data processing platform, which includes various data collectors, data filtering, enrichment, and storage using a sharded cluster of MongoDB and SOLR. He is still maintaining the open source .NET RabbitMQ client library, Burrow.NET (https://github.com/vanthoainguyen/Burrow.NET), which he built during the time he worked for BuzzNumbers. This library is still being used in many different applications in that company. Van is interested in clean code and design, SOLID principle, and BIG data. You can read his blog at http://thoai-nguyen.blogspot.com.au/.

Héctor Veiga is a software engineer specializing in real-time data integration and processing. Recently, he has focused his work on different cloud technologies, such as AWS, to develop scalable, resilient, and high-performing applications with the latest open source technologies, such as Scala, Akka, or Apache Spark. Additionally, he has a strong foundation in messaging systems, such as RabbitMQ and AMQP. He also has a master's degree in telecommunications engineering from the Universidad Politécnica de Madrid and a master's degree in information technology and management from the Illinois Institute of Technology.

He currently works as part of the Connected Driving real-time data collection team and is actively developing scalable applications to ingest and process data from several different sources. He utilizes RabbitMQ heavily to address their messaging requirements. In the past, he worked at Xaptum Technologies, a company dedicated to M2M technologies.

Héctor also helped with the reviewing process of RabbitMQ Cookbook and RabbitMQ Essentials, both from Packt Publishing.

I would like to thank my parents, Pilar and Jose Carlos, as well as my sister, Paula, for always supporting me and motivating me to keep pushing on. Without them, all this would not have been possible.

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