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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 programming

Functional programming is a declarative programming paradigm that allows you to concentrate on the logic of a computation without describing its control flow. This is in contrast to imperative programming, which uses control statements to describe the flow of programs.

The following diagram represents a simplified classification of programming languages:

Functional programming assumes that the software is constructed based on the following principles:

Pure functions
First-class functions
Higher-order functions
Function composition
Typeclasses
Lambdas
Closures
Immutability

The following diagram shows a combination of these concepts:

We'll look at some examples of declarative and imperative styles to get a better understanding. We'll cover all the principles of functional programming just mentioned.

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