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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
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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

Building Go binaries with Docker

Depending on your target architecture, you may wish to build your Go binaries with Docker to maintain a reproducible build, limit your build size, and minimize the attack vectors for your service. Using multistage Docker builds can help us to accomplish this task.

To perform these actions, you must have a recent version of Docker installed. The multistage builds feature that we are going to use requires Docker version 17.05 or higher in both the daemon and the client. You can find the most recent version of Docker for your OS, as well as instructions on how to install it, at https://docs.docker.com/install/.

Consider the following simple package that logs a debug message to the screen:

package main
import "go.uber.org/zap"
func main() {
zapLogger: = zap.NewExample()
defer zapLogger.Sync()
zapLogger.Debug("Hi Gophers - from our Zap...
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