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.
Table of Contents (18 chapters)
Learning RabbitMQ
About the Author
About the Reviewers

RabbitMQ deployment options

So far, we have been manually configuring our RabbitMQ instances. However, it's common for many production systems to use automatic provisioning and management of the configuration of components, including the message broker. There are a number of ways in which we can deploy and manage a RabbitMQ broker instance:

  • Installing and configuring the broker manually in a virtual machine that is used to distribute it

  • Automatically provisioning in a virtual container hosted directly on the operating system using a tool such as Docker, which provides integration with RabbitMQ

  • Deploying or using managed RabbitMQ instances in the cloud; many platform-as-a-service cloud providers enable the use of such instances in the form of messaging-as-a-service or RabbitMQ-as-a-service (such as the Google Cloud and CloudAMQP platforms)

  • Automatically provisioning a target operating system using a recipe written in a domain-specific language with a provisioning tool such as Puppet or Chef ...