CI tools are not built to scale testing workloads and provide the test observability teams crave to achieve the velocity and release confidence required to embrace the AI-driven software development life cycle (SDLC). Thankfully, novel and arguably superior approaches for scaling automated tests are available to unblock quality pipelines.

In this talk, Ole will show how to leverage both Kubernetes to scale testing workloads and AI for intelligent test selection (ITS) and automated result analysis to drive automated remediation and improve confidence and delivery across both synchronous and asynchronous pipelines.