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Hands-On High Performance with Go
Hands-On High Performance with Go

Hands-On High Performance with Go: Boost and optimize the performance of your Golang applications at scale with resilience

By Bob Strecansky
$35.99 $24.99
Book Mar 2020 406 pages 1st Edition
eBook
$35.99 $24.99
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eBook
$35.99 $24.99
Print
$48.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Mar 24, 2020
Length 406 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789805789
Category :
Languages :

Estimated delivery fee Deliver to Russia

Premium 6 - 9 business days

$21.95
(Includes tracking information)

Economy 10 - 13 business days

$6.95
Table of content icon View table of contents Preview book icon Preview Book

Hands-On High Performance with Go

Introduction to Performance in Go

This book is written with intermediate to advanced Go developers in mind. These developers will be looking to squeeze more performance out of their Go application. To do this, this book will help to drive the four golden signals as defined in the Site Reliability Engineering Workbook (https://landing.google.com/sre/sre-book/chapters/monitoring-distributed-systems/). If we can reduce latency and errors, as well as increase traffic whilst reducing saturation, our programs will continue to be more performant. Following the ideology of the four golden signals is beneficial for anyone developing a Go application with performance in mind.

In this chapter, you'll be introduced to some of the core concepts of performance in computer science. You'll learn some of the history of the Go computer programming language, how its creators decided that it was important to put performance at the forefront of the language, and why writing performant Go is important. Go is a programming language designed with performance in mind, and this book will take you through some of the highlights on how to use some of Go's design and tooling to your advantage. This will help you to write more efficient code.

In this chapter, we will cover the following topics:

  • Understanding performance in computer science
  • A brief history of Go
  • The ideology behind Go performance

These topics are provided to guide you in beginning to understand the direction you need to take to write highly performant code in the Go language.

Technical requirements

For this book, you should have a moderate understanding of the Go language. Some key concepts to understand before exploring these topics include the following:

Throughout this book, there will be many code samples and benchmark results. These are all accessible via the GitHub repository at https://github.com/bobstrecansky/HighPerformanceWithGo/.

If you have a question or would like to request a change to the repository, feel free to create an issue within the repository at https://github.com/bobstrecansky/HighPerformanceWithGo/issues/new.

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Key benefits

  • Explore Go’s profiling tools to write faster programs by identifying and fixing bottlenecks
  • Address Go-specific performance issues such as memory allocation and garbage collection
  • Delve into the subtleties of concurrency and discover how to successfully implement it in everyday applications

Description

Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant. Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression. By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs.

What you will learn

Organize and manipulate data effectively with clusters and job queues Explore commonly applied Go data structures and algorithms Write anonymous functions in Go to build reusable apps Profile and trace Go apps to reduce bottlenecks and improve efficiency Deploy, monitor, and iterate Go programs with a focus on performance Dive into memory management and CPU and GPU parallelism in Go

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 24, 2020
Length 406 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789805789
Category :
Languages :

Estimated delivery fee Deliver to Russia

Premium 6 - 9 business days

$21.95
(Includes tracking information)

Economy 10 - 13 business days

$6.95

Table of Contents

20 Chapters
Preface Chevron down icon Chevron up icon
1. Section 1: Learning about Performance in Go Chevron down icon Chevron up icon
2. Introduction to Performance in Go Chevron down icon Chevron up icon
3. Data Structures and Algorithms Chevron down icon Chevron up icon
4. Understanding Concurrency Chevron down icon Chevron up icon
5. STL Algorithm Equivalents in Go Chevron down icon Chevron up icon
6. Matrix and Vector Computation in Go Chevron down icon Chevron up icon
7. Section 2: Applying Performance Concepts in Go Chevron down icon Chevron up icon
8. Composing Readable Go Code Chevron down icon Chevron up icon
9. Template Programming in Go Chevron down icon Chevron up icon
10. Memory Management in Go Chevron down icon Chevron up icon
11. GPU Parallelization in Go Chevron down icon Chevron up icon
12. Compile Time Evaluations in Go Chevron down icon Chevron up icon
13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind Chevron down icon Chevron up icon
14. Building and Deploying Go Code Chevron down icon Chevron up icon
15. Profiling Go Code Chevron down icon Chevron up icon
16. Tracing Go Code Chevron down icon Chevron up icon
17. Clusters and Job Queues Chevron down icon Chevron up icon
18. Comparing Code Quality Across Versions Chevron down icon Chevron up icon
19. Other Books You May Enjoy Chevron down icon Chevron up icon

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