Book Image

Hands-On High Performance with Spring 5

By : Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya
Book Image

Hands-On High Performance with Spring 5

By: Chintan Mehta, Subhash Shah, Pritesh Shah, Prashant Goswami, Dinesh Radadiya

Overview of this book

While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications.
Table of Contents (14 chapters)

Maximizing throughput with RabbitMQ

The following are the configuration options for optimal performance in relation to maximum message passing throughput:

  • Keep your queues short
  • Avoid the use of lazy queues
  • Avoid persistent messages
  • Create multiple queues and consumers
  • Divide queues into different cores
  • Disable acknowledgment
  • Disable unnecessary plugins

Performance and scalability with RabbitMQ

There are many important points that we should consider for achieving optimal performance with RabbitMQ:

  • Payload message size
  • Exchange management
  • Configure prefetch properly
  • RabbitMQ HiPE
  • Clustering of nodes
  • Disable RabbitMQ statistics
  • Update the RabbitMQ libraries