Akamas: Continuous Optimization in the Jenkins pipeline

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In this short video, we show how to extend your CI/CD practices with Akamas to implement continuous optimization in a Jenkins pipeline. Akamas supports AI-powered, closed-loop optimization, by automatically applying configuration changes as part of the CI/CD pipeline.
  1. Akamas
  2. Continuous Optimization
  3. CI/CD pipeline
  4. Jenkins
  5. Automation
  6. continuous integration
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It's not clear from the video : how much time would be added to the release cycle, to perform these optimization studies? I suspect it varies by workload, but are we talking minutes or even perhaps hours?

And is the study done against only what changed in the release being deployed, or against the complete app?

If there are resources that may better answer these questions, feel free to point them out. I'm hoping my questions are ones that most folks seeing this would wonder. Thanks.

CharlieArehart