Chaos experiments in Kubernetes with ML-driven verification

Chaos engineering tools offer a great way to test an application’s resiliency in a Kubernetes deployment. But chaos experiments can induce failure modes that have never been seen before, causing incidents to slip through existing alert rules.

Detecting these failures can be tricky. Zebrium solves this by using unassisted machine learning to auto-detect application failures caused by chaos experiments. 

Please Join Zebrium and our partner MayaData, authors of open source Litmus Chaos Engine, for a demonstration of how this works.