Book Image

Mastering High Performance with Kotlin

Book Image

Mastering High Performance with Kotlin

Overview of this book

The ease with which we write applications has been increasing, but with it comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day requirement In this book, we explore how to achieve this crucial balance, while developing and deploying applications with Kotlin. The book starts by analyzing various Kotlin specifcations to identify those that have a potentially adverse effect on performance. Then, we move on to monitor techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help to us achieve high performance: memory optimization, concurrency, multi threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. We'll also cover best practices of Kotlin programming that will help you to improve the quality of your code base. By the end of the book, you will have gained some insight into various techniques and solutions that will help to create high-performance applications in the Kotlin environment
Table of Contents (12 chapters)

Threads profiling

To provide a faster and smoother user experience, you should care about CPU usage. Minimizing CPU usage preserves battery life and makes your application perform well on a mix of newer and older hardware. Thread profiling helps you find out which methods are executed over a period of time. You can also trace a call stack to identify a sequence of method invocations. You can use this information to determine which methods perform unnecessary work.

Threads viewer

The debug tools in IntelliJ IDEA have two very similar tabs—Threads and Frames. The Threads pane give you access to the list of threads that exist as of the current breakpoint. The Frames pane shows the current method or function that's...