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)

Using thread pools for asynchronous processing

Thread pool is a core concept in multithreaded programming that serves a collection of idle threads that can be used to execute a task. A thread pool can reuse previously created threads to execute the current task so that the thread is already available when the request arrives, which can reduce the time of thread creation and improve the performance of the application. Normally, thread pool can be used in a web server to handle client requests and also to maintain open connections to the database.

We can configure the maximum number of concurrent threads in the pool, which is useful for preventing overload. If all threads are busy executing a task, then a new task is placed in a queue and waits for a thread to become available.

The Java concurrency API supports the following types of thread pools:

  • Fixed-thread pool: A thread pool...