Kubernetes Reliability Risks: How to monitor for critical issues at scale

Recent research shows that nearly every organization has reliability risks in their Kubernetes clusters. Many of them are caused by simple misconfiguration, but they can have devastating consequences—including taking critical services offline. And while you could manually review every Kubernetes deployment, the speed and scale at which most organizations deploy to Kubernetes makes that impractical. If you want to detect and remediate these risks before they impact customers, you need to actively monitor for them at scale. Learn how to automatically find and fix the most critical Kubernetes reliability risks in enterprise organizations. This webinar goes over: • The ten most critical Kubernetes reliability risks to monitor • Strategies to systematically resolve these issues before they cause an incident or outage • How to use Gremlin’s Detected Risks feature to automatically scan for Kubernetes risks