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Hands-On High Performance with Go

You're reading from   Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789805789
Length 406 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Bob Strecansky Bob Strecansky
Author Profile Icon Bob Strecansky
Bob Strecansky
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Learning about Performance in Go
2. Introduction to Performance in Go FREE CHAPTER 3. Data Structures and Algorithms 4. Understanding Concurrency 5. STL Algorithm Equivalents in Go 6. Matrix and Vector Computation in Go 7. Section 2: Applying Performance Concepts in Go
8. Composing Readable Go Code 9. Template Programming in Go 10. Memory Management in Go 11. GPU Parallelization in Go 12. Compile Time Evaluations in Go 13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
14. Building and Deploying Go Code 15. Profiling Go Code 16. Tracing Go Code 17. Clusters and Job Queues 18. Comparing Code Quality Across Versions 19. Other Books You May Enjoy

The link toolchain

Go has a bunch of handy tools in its link tool that allow us to pass pertinent data to an executable function. With this tool, the programmer has the ability to set a value for a string with a particular name and value pair. Using the cmd/link package in Go allows you to pass in information to the Go program at hand at link time. The way to pass this information from the toolchain to the executable is to utilize the build parameter:

go build -ldflags '-X importpath.name=value'

For example, if we were trying to take in a serial number for our program from the command line, we could do something like the following:

package main

import (
"fmt"
)

var SerialNumber = "unlicensed"

func main() {
if SerialNumber == "ABC123" {
fmt.Println("Valid Serial Number!")
} else {
fmt.Println("Invalid Serial Number&quot...
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