# Efficient Go: Data-Driven Performance Optimization

Efficient Go: Data-Driven Performance Optimization is a programming book about measuring and improving software efficiency, with Go examples and practices that also apply across modern languages. It covers performance goals, CPU and memory use, observability, benchmarking, and Go features such as goroutines, slices, and garbage collection.

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- Market: CA
- Language: en-CA
- Currency: CAD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 63.35 CAD
- Previous price: 93.62 CAD
- Discount: 32%
- Price checked: 2026-11-13T12:13:44.574Z
- Rating: 4.2 / 5
- Reviews: 29

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## At a glance

- Explains how to set and negotiate software efficiency goals before optimizing.
- Covers metrics, logging, tracing, and continuous profiling, with tools including Prometheus, Jaeger, and Parca.
- Discusses micro and macro benchmarks using go test, pprof, benchstat, and k6.
- Connects Go performance topics such as slices, generics, goroutines, allocations, and garbage collection with broader efficiency practices.

## Pros

- Combines Go-specific techniques with language-agnostic approaches to performance work.
- Addresses measurement and observability as well as code-level optimization.
- The stated audience includes software developers and operations-focused roles such as SRE, DevOps, and platform teams.

## Specifications

### Publication
- Publisher: O'Reilly Media
- Publication date: Dec 13 2022
- Edition: 1st
- Language: English
- Print length: 495 pages
- ISBN-10: 1098105710
- ISBN-13: 978-1098105716
### Dimensions and installation
- Weight listed: 1.05 kg
- Dimensions: 17.78 x 2.57 x 23.34 cm

## Before you buy

- The description recommends basic programming skills as a starting point. It also emphasizes that optimization choices depend on circumstances and organizational goals.

## A good fit for

- Go developers who want a structured approach to measuring and optimizing software efficiency.
- Software engineers working on programs in Go or other modern languages who need to align performance work with product goals.
- SRE, DevOps, sysadmin, and platform professionals collaborating on benchmarking and observability.

## Less suited to

- Readers seeking an introductory programming text, since basic programming skills are recommended.
- Readers looking for a language-neutral book with no Go-specific material.

## Customer feedback

Aggregate ratings lean positive overall, but include a meaningful middle and lower-star share. Without written customer feedback, they do not establish which topics readers valued or what concerns they had. The book's stated focus may suit buyers seeking practical Go performance and observability guidance, but the ratings alone cannot confirm the depth or usefulness of that coverage.

## Frequently asked questions

### What topics does Efficient Go cover?
It covers efficiency goals, CPU and memory use, observability signals, benchmarking, and Go features including slices, generics, goroutines, allocation behaviour, and garbage collection.
### Does the book focus only on Go?
It uses Go for its central examples, while the listing says much of its content is language-agnostic and applicable to modern programming or product-management practices.
### Who is the intended reader?
The stated audience includes software developers, ideally with basic programming skills, as well as operations and platform professionals involved in software efficiency and observability.

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## Add-ons

- [Learning Go: An Idiomatic Approach to Real-World Go Programming](https://loonieperks.com/visit/efficient-go-data-driven-performance-optimization)
- [Concurrency in Go: Tools and Techniques for Developers](https://loonieperks.com/visit/efficient-go-data-driven-performance-optimization)

## Images

![Efficient Go: Data-Driven Performance Optimization — 1](https://loonieperks.com/i/g4nhuOJpcPHrWKYrGvleAE_TdGLiXt2_CO5gZA4L0X-SlIzxl8unAE839lArPGLqISOD9ORCxsklxKdwaO01ZfNqwrl6IQIWk5UMHx1obF9h4ClzYZx_.jpg)