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)

General performance metrics

Benchmarking is a small part of performance testing. The main focus of performance testing is checking software:

  • Speed: To determine how fast the application responds
  • Scalability: To determine the maximum number of users that an application can handle
  • Stability: To determine how the application invokes its functions under different loads

Types of performance testing

The most common performance problems revolve around response time, speed, load time, and scalability. These issues impact the most important attribute of an application: speed. Therefore, the main purpose of performance testing is to make sure that your application runs fast enough to keep a user's attention. There are a lot...