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Table Of Contents

Mastering High Performance with Kotlin

2 (1)

Buy this Book

Mastering High Performance with Kotlin

2 (1)

Buy this Book

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

Preface

Who this book is for

What this book covers

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Free Chapter

Identifying Performance Bottlenecks

Reasons for performance issues

Memory model

Slow rendering

Summary

Identifying Indicators of Performance Issues

Benchmarking

General performance metrics

Summary

Learning How to Use Profiling Tools

Memory profiling

Threads profiling

Summary

Functional Approach

Functional programming

Inspecting functional features

Summary

Enhancing the Performance of Collections

Data structures

Time complexity

Collections in Kotlin

Sequences in Kotlin

Summary

Optimizing Access to Properties

Fields and properties

Properties inspection

Summary

Preventing Unnecessary Overhead Using Delegates

Types of delegation

Class delegation

Delegated properties

Summary

Ranges and Identifying Performance Issues

Ranges in Kotlin

Range benchmarking

Summary

Multithreading and Reactive Programming

Concurrency and parallelism

Reactive programming

Coroutines

Summary

Best Practices

The disposable pattern

Immutability

The String pool

Functional programming

Collections

Properties

Delegation

Ranges

Concurrency and parallelism

Summary

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Functional Approach

It's clear to everyone that Kotlin is an object-oriented programming language. And its large number of built-in features makes Kotlin open to different paradigms. Particularly, Kotlin follows a functional style that brings a lot of new approaches that weren't available before for Java developers.

Object-oriented programming is ideally suited for modeling domains and representing real-world objects. Functional programming can elegantly pack a lot of actions into a few lines of code. Moreover, the concepts of immutable objects and pure functions from functional programming make scaling a program in a multi-core environment much easier.

Kotlin is a programming language that combines these approaches and lets you describe the behavior of objects flexibly.

In this chapter, we'll cover the following topics: