Category: Software, Kubernetes, Infrastructure, automation, selenium, artificial-intelligence

We think you might be interested in this job:

Effectively implementing automated approaches to feedback loops is all about right-fitting the who/what/when/where aspects. Typically, automated feedback loops live in pipelines and continuous integration (CI).

A few solid reasons: Traditional load testing and performance testing have focused on large, complex end-to-end testing of fully baked pre-release systems.

Is it necessary for this process to inherit flaws, faults, anti-patterns and bad assumptions that we could have addressed earlier? An intelligent approach requires “right-fitting” load and performance testing into automated pipelines, so we get early signals that are actionable (i.e., feedback loops).

Related Articles