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Welcome to Logz.io, where we make monitoring, troubleshooting, and optimizing your systems easier than ever. Our AI-driven observability platform helps you: Ingest and manage your logs effortlessly Analyze and visualize data with powerful filtering & alerting Pinpoint root causes instantly with AI-powered RCA Optimize observability costs with DataHub Ensure peak system performance with Kubernetes 360 & App 360.

This episode of "Kubernetes for Humans" features Dan Ciruli, a Senior Director of Product Management at Nutanix, who shares his journey in tech and his perspective on the evolution of cloud-native technologies. Ciruli discusses his early career as an engineer and his transition to product management, noting that the role was not well-defined in the 1990s. He recounts his experiences with startups, Google, and D2IQ (formerly Mesosphere), highlighting the rise of Docker and projects like Mesos.

In this video, I'll show you how to quickly setup monitoring and alerting for your Kubernetes clusters using Splunk Observability Cloud. We’ll start by deploying the Splunk OpenTelemetry Collector using Helm, and then use the Kubernetes Navigator inside Splunk Observability Cloud to view the health of our cluster and the applications it’s hosting. I’ll demonstrate AutoDetect detectors and alerts by intentionally triggering an issue in the cluster and walk through the alerting process. We’ll review the alerts in Splunk Observability Cloud and then resolve the issue in the cluster.