Introducing DataSet KubeiQ

DataSet KubeiQ is a new algorithmic solution designed to automatically detect anomalies across all layers of a Kubernetes cluster – infrastructure, platform, and workloads. Unlike traditional static threshold alerts, KubeiQ uses machine learning to establish baselines and identify true anomalies, reducing alert fatigue and speeding up incident resolution for DevOps and SRE teams. This allows teams to proactively address issues and improve end-user experience, even without deep Kubernetes expertise.