Hands-On High Performance with Go
Boost and optimize the performance of your Golang applications at scale with resilience
Published on 24. March 2020
Book
Paperback/Softback
406 pages
978-1-78980-578-9 (ISBN)
Description
Proven methodologies and concurrency techniques that will help you write faster and better code with Go programming
Key Features
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
Book DescriptionGo 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
Who this book is forThis Golang book is a must for developers and professionals who have an intermediate-to-advanced understanding of Go programming, and are interested in improving their speed of code execution.
Key Features
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
Book DescriptionGo 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
Who this book is forThis Golang book is a must for developers and professionals who have an intermediate-to-advanced understanding of Go programming, and are interested in improving their speed of code execution.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 22 mm
Weight
755 gr
ISBN-13
978-1-78980-578-9 (9781789805789)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Bob Strecansky
Hands-On High Performance with Go
Boost and optimize the performance of your Golang applications at scale with resilience
E-Book
09/2024
Packt Publishing
€29.99
Available for download
Person
Bob Strecansky is a senior site reliability engineer. He graduated with a computer engineering degree from Clemson University with a focus on networking. He has worked in both consulting and industry jobs since graduation. He has worked with large telecom companies and much of the Alexa top 500. He currently works at Mailchimp, working to improve web performance, security, and reliability for one of the world's largest email service providers. He has also written articles for web publications and currently maintains the OpenTelemetry PHP project. In his free time, Bob enjoys tennis, cooking, and restoring old cars. You can follow Bob on the internet to hear musings about performance analysis:
Twitter: @bobstrecansky
GitHub: @bobstrecansky
Twitter: @bobstrecansky
GitHub: @bobstrecansky
Content
Table of Contents
Introduction to Performance in Go
Data Structures and Algorithms
Understanding Concurrency
STL Algorithm Equivalents in Go
Matrix and Vector Computation in Go
Composing Readable Go Code
Template Programming in Go
Memory Management in Go
GPU Parallelization in Go
Compile Time Evaluations in Go
Building and Deploying Go Code
Profiling Go Code
Tracing Go Code
Clusters and Job Queues
Comparing Code Quality Across Versions
Introduction to Performance in Go
Data Structures and Algorithms
Understanding Concurrency
STL Algorithm Equivalents in Go
Matrix and Vector Computation in Go
Composing Readable Go Code
Template Programming in Go
Memory Management in Go
GPU Parallelization in Go
Compile Time Evaluations in Go
Building and Deploying Go Code
Profiling Go Code
Tracing Go Code
Clusters and Job Queues
Comparing Code Quality Across Versions