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Efficient Go: Data-Driven Performance Optimization
Author(s): Bartlomiej Plotka (Author)
- Publisher: O'Reilly Media
- Publication Date: 25 Nov. 2022
- Language: English
- Print length: 494 pages
- ISBN-10: 1098105710
- ISBN-13: 9781098105716
Book Description
With technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success. With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartłomiej Płotka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles.
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About the Author
Bartlomiej Plotka is a Principal Software Engineer at Red Hat with a background in 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 performance and efficiency focused improvements and researches. Developing in Go since 2014, Barteka s passion was always to focus on the readability, reliability, and efficiency aspect of the language. On the way, Bartek helped to develop many tools, blog posts and even created opinionated Go code style to teach others on writing pragmatic, but efficient Go applications.
