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Hands-On Software Engineering with Golang

You're reading from   Hands-On Software Engineering with Golang Move beyond basic programming to design and build reliable software with clean code

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838554491
Length 640 pages
Edition 1st Edition
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Author (1):
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Achilleas Anagnostopoulos Achilleas Anagnostopoulos
Author Profile Icon Achilleas Anagnostopoulos
Achilleas Anagnostopoulos
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Software Engineering and the Software Development Life Cycle
2. A Bird's-Eye View of Software Engineering FREE CHAPTER 3. Section 2: Best Practices for Maintainable and Testable Go Code
4. Best Practices for Writing Clean and Maintainable Go Code 5. Dependency Management 6. The Art of Testing 7. Section 3: Designing and Building a Multi-Tier System from Scratch
8. The Links 'R'; Us Project 9. Building a Persistence Layer 10. Data-Processing Pipelines 11. Graph-Based Data Processing 12. Communicating with the Outside World 13. Building, Packaging, and Deploying Software 14. Section 4: Scaling Out to Handle a Growing Number of Users
15. Splitting Monoliths into Microservices 16. Building Distributed Graph-Processing Systems 17. Metrics Collection and Visualization 18. Epilogue
19. Assessments 20. Other Books You May Enjoy

Summary

In this chapter, we discussed the reasons that necessitate the use of versioning for not only the packages that our code imports, but also the code itself that we, as software engineers, author. We then defined the concept of semantic versioning and the circumstances where each component of a semantic version needs to be incremented.

The meat of the chapter dealt with the concepts of vendoring as the primary mechanism for ensuring repeatable builds for our projects. After elaborating on the pros and cons of vendoring as a process, we examined the current state of vendoring in the Go ecosystem and provided a brief tour of the state-of-the-art tools (dep and Go modules) that engineers should use to manage their package dependencies.

Of course, as our code base evolves and the version requirements for our imports change over time, it is likely that, at some point, a newer...

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