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)

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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