Efficient go by bartlomiej plotka Page

Efficient Go by Bartlomiej Plotka



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O'Reilly Media, Inc., December 2022

https://learning.oreilly.com/library/view/efficient-go/9781098105709

* Efficient Go Table of Contents
* Efficient Go Preface
* Efficient Go Chapter 1 - Software Efficiency Matters
* Efficient Go Index


"Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language.

How and when should you apply performance efficiency optimization without wasting your time? Author Bartlomiej Plotka provides the tools and knowledge you need to make your system faster using fewer resources. Once you learn how to address performance in your Go applications, you'll be able to bring small but effective habits to your Go programming and development cycle.

This book shows you how to:

* Go Continuously monitor for Go performance and Go efficiency regressions
* Find the root cause of Go performance and performance bottlenecks using Go metrics, Go logging, Go tracing, and Go profiling
* Use Go tools like pprof, go test, benchstat and k6.io to create reliable micro-benchmarks and macro-benchmarks
* Improve and optimize your code to meet your goals without sacrificing simplicity and readability
* Make data-driven decisions by prioritizing changes that make a difference
* Introduce basic "performance hygiene" in day-to-day Go programming and Go testing


About the Author


Bartlomiej Plotka is a Principal Software Engineer at Red Hat with a background in Go SRE. Working primarily on observability topics, he helped to build many popular, reliable, performance, and efficiency-oriented distributed systems in Go. He is a core maintainer of various open-source projects including the CNCF Prometheus (https://prometheus.io), libraries in the gRPC ecosystem, and more. In 2017 he created, together with Fabian Reinartz, a popular, open source distributed time series database. Focused on cheap and efficient metric monitoring, written in Go and called Thanos (http://thanos.io), it went through hundreds of Go performance and Go efficiency focused improvements and researches. Developing in Go since 2014, Bartlomiej's passion was always to focus on the readability, reliability, and efficiency aspect of the Go language. On the way, Bartek helped to develop many Go tools, Go blog posts and even created opinionated Go code style to teach others on writing pragmatic, but efficient Go applications.

Product details


* Publisher: ‎O'Reilly Media; 1st edition (January 31, 2023)
* Paperback: 300 pages
* ISBN-10: 1098105710
* ISBN-13:‎ 978-1098105716

Fair Use Sources


Fair Use Sources:
* 1098105710 (EffGo, 2023)
* https://learning.oreilly.com/library/view/efficient-go/9781098105709


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