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Atlassian DevOps Toolchain Cookbook

You're reading from   Atlassian DevOps Toolchain Cookbook Recipes for building, automating, and managing applications with Jira, Bitbucket Pipelines, and more

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835463789
Length 504 pages
Edition 1st Edition
Languages
Concepts
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Authors (4):
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Rodney Nissen Rodney Nissen
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Rodney Nissen
Robert Wen Robert Wen
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Robert Wen
Alex Ortiz Alex Ortiz
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Alex Ortiz
Edward Gaile Edward Gaile
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Edward Gaile
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Beginning the Cycle FREE CHAPTER
2. Chapter 1: An Introduction to DevOps and the Atlassian Ecosystem 3. Chapter 2: Discovering Customer Needs with Jira Product Discovery 4. Chapter 3: Planning and Documentation with Confluence 5. Part 2: Development to Deployment
6. Chapter 4: Enabling Connections for Design, Source Control, and Continuous Integration 7. Chapter 5: Understanding Bitbucket and Bitbucket Pipelines 8. Chapter 6: Extending and Executing Bitbucket Pipelines 9. Chapter 7: Leveraging Test Case Management and Security Tools for DevSecOps 10. Chapter 8: Deploying with Bitbucket Pipelines 11. Chapter 9: Leveraging Docker and Kubernetes for Advanced Configurations 12. Part 3: Maintaining Operations
13. Chapter 10: Collaborating with Operations through Continuous Deployment and Observability 14. Chapter 11: Monitoring Component Activity and Metrics Through CheckOps in Compass 15. Chapter 12: Escalate Using Opsgenie Alerts 16. Part 4: Putting It into Practice
17. Chapter 13: Putting It All Together with a Real-World Example 18. Chapter 14: Appendix – Key Takeaways and the Future of Atlassian DevOps Tools 19. Index 20. Other Books You May Enjoy

Testing steps in Bitbucket Pipelines

A key step that may be done on a pipeline for continuous integration typically comes post-build. Testing immediately after the build allows for defects to be found and sorted out, guaranteeing better quality in the code base.

The testing steps in this recipe utilize a category of testing called static analysis. With static analysis, the files in the build are scanned to see whether they contain logical errors, security vulnerabilities, or other issues.

Linting is another type of scanning technique that performs tests by evaluating the syntax and structure of the code base. It can also determine whether the code base being evaluated meets specific coding standards.

We will examine different methods of invoking linting and scanning from Bitbucket Pipelines.

How to do it…

Depending on the language, a linting utility may be part of the suite of tools for developing in that language. Let’s see how that works with Bitbucket...

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