Bob Strecansky - Hands-On High Performance with Go

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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

Eduard Bondarenko is a long-time software developer. He prefers concise and expressive code with comments and has tried many programming languages, such as Ruby, Go, Java, and JavaScript.

Eduard has reviewed a couple of programming books and has enjoyed their broad topics and how interesting they are. Besides programming, he likes to spend time with the family, play soccer, and travel.

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Hands-On High Performance with Go is a complete resource with proven methodologies and techniques to help you diagnose and fix performance problems in your Go applications. The book starts with an introduction to the concepts of performance, where you will learn about the ideology behind the performance of Go. Next, you will learn how to implement Go data structures and algorithms effectively and explore data manipulation and organization in order to write programs for scalable software. Channels and goroutines for parallelism and concurrency in order to write high-performance codes for distributed systems are also a core part of this book. Moving on, you'll learn how to manage memory effectively. You'll explore the Compute Unified Device Architecture (CUDA) driver application programming interface (API), use containers to build Go code, and work with the Go build cache for faster compilation. You'll also get a clear picture of profiling and tracing Go code to detect bottlenecks in your system. At the end of the book, you'll evaluate clusters and job queues for performance optimization and monitor the application for performance regression.

This Go 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.

, Introduction to Performance in Go , will discuss why performance in computer science is important. You will also learn why performance is important in the Go language.

, Data Structures and Algorithms , deals with d ata structures and algorithms, which are the basic units of building software, notably complex performance software. Understanding them will help you to think about how to most impact fully organize and manipulate data in order to write effective, performant software. Also, iterators and generators are essential to Go. This chapter will include explanations of different data structures and algorithms, as well as how their big O notation is impacted.