In this chapter, we covered the essential mechanisms to troubleshoot the problems that may occur as part of a RabbitMQ instance. We discussed a general approach towards troubleshooting, along with an overview of some common problems that may occur during startup or shutdown of the message broker. For more detailed troublshooting, we introduced the fundamentals of the Erlang programming language and we will reuse that knowledge when we discuss how to extend RabbitMQ. In the next chapter, we will further expand on the concepts that are covered in this chapter by discussing how to troubleshoot security-related issues.
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.
Table of Contents (18 chapters)
About the Author
About the Reviewers
Design Patterns with RabbitMQ
Administration, Configuration, and Management
Performance Tuning and Monitoring
Contributing to RabbitMQ