Preface
1. Software Efficiency Matters
Behind Performance
Common Efficiency Misconceptions
Optimized Code Is Not Readable
You Aren't Going to Need It
Hardware Is Getting Faster and Cheaper
We Can Scale Horizontally Instead
Time to Market Is More Important
The Key to Pragmatic Code Performance
Summary
2. Efficient Introduction to Go
Basics You Should Know About Go
Imperative, Compiled, and Statically Typed Language
Designed to Improve Serious Codebases
Governed by Google, Yet Open Source
Simplicity, Safety, and Readability Are Paramount
Packaging and Modules
Dependencies Transparency by Default
Consistent Tooling
Single Way of Handling Errors
Strong Ecosystem
Unused Import or Variable Causes Build Error
Unit Testing and Table Tests
Advanced Language Elements
Code Documentation as a First Citizen
Backward Compatibility and Portability
Go Runtime
Object-Oriented Programming
Generics
Is Go \"Fast\"?
Summary
3. Conquering Efficiency
Beyond Waste, Optimization Is a Zero-Sum Game
Reasonable Optimizations
Deliberate Optimizations
Optimization Challenges
Understand Your Goals
Efficiency Requirements Should Be Formalized
Resource-Aware Efficiency Requirements
Acquiring and Assessing Efficiency Goals
Example of Defining RAER
Got an Efficiency Problem? Keep Calm!
Optimization Design Levels
Efficiency-Aware Development Flow
Functionality Phase
Efficiency Phase
Summary
4. How Go Uses the CPU Resource (or Two)
CPU in a Modern Computer Architecture