We will cover the details of profiling and tracing Go programs in Chapter 12, Profiling Go Code, and Chapter 13, Tracing Go Code, respectively. It is prudent to know that the runtime library is a key driver in these utilities. Being able to use pprof/race/trace can help you debug your code in a meaningful way and be able to find nascent errors In the next section, we will learn about runtime functions and how they are prudent to the Go runtime library.
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Section 1: Learning about Performance in Go
- Introduction to Performance in Go
- Data Structures and Algorithms
- Understanding Concurrency
- STL Algorithm Equivalents in Go
- Matrix and Vector Computation in Go
- Section 2: Applying Performance Concepts in Go
- Composing Readable Go Code
- Template Programming in Go
- Memory Management in Go
- GPU Parallelization in Go
- Compile Time Evaluations in Go
- Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
- Building and Deploying Go Code
- Building Go binaries
- Go build – building your Go code
- Go clean – cleaning your build directory
- Retrieving package dependencies with go get and go mod
- Go list
- Go run – executing your packages
- Go install – installing your binaries
- Building Go binaries with Docker
- Summary
- Profiling Go Code
- Tracing Go Code
- Clusters and Job Queues
- Comparing Code Quality Across Versions
- Other Books You May Enjoy
PProf/race/trace
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