How do I create a QA/Testing pipeline in my CI/CD process?

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Asked By TechieBear42 On

I've set up CI/CD pipelines for Dev, Staging, and Production environments, but I've never actually built a pipeline focused on automated testing. I understand why a production pipeline usually doesn't include these tests—because the code is already vetted. However, I'm curious if anyone here has experience with building a dedicated QA/testing pipeline. What insights can you share about its integration with overall CI/CD processes? Also, I've only got about 1.5 years in DevOps, and this was my first full-time job!

4 Answers

Answered By TestingGuru88 On

When building your artifact, you can structure the pipeline like this:

```
unit tests/style linting/SAST/etc
-> (if pass) build
-> artifact testing (DAST, container image scans, etc.)
-> (if pass) deploy: dev
-> e2e tests: dev
-> (if pass) deploy: staging
-> e2e + regression + load tests
-> (if pass) deploy: prod
-> smoke tests
-> (if fail) roll back
```

This way, you can ensure each phase has the necessary tests.

QuickDeploy45 -

Looks like you've got a solid plan! Thanks for breaking that down.

Answered By PipelinePro22 On

Check out this example CI/CD pipeline that includes extensive testing: https://www.cogini.com/blog/breaking-up-the-monolith-building-testing-and-deploying-microservices/

The GitHub Actions code is really handy: https://github.com/cogini/phoenix_container_example/blob/main/.github/workflows/ci.yml

CuriousCat33 -

This is exactly the kind of resource I was hoping to find! Thanks!

Answered By DevOpsWizard99 On

If automated testing isn’t preventing broken changes from reaching production, you might want to reconsider its value. It’s often a good idea to integrate testing into your regular deployment pipeline as much as you can.

Answered By CodeCleaner77 On

Start with the basics—automate your unit tests first, and then move on to integration tests. Don't overlook database testing; we use DBmaestro for that. For managing tests, platforms like GitHub Actions or Azure DevOps work great, and you can gradually expand your coverage as you get more comfortable.

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