Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes, container resources, request and limits, sizing, the impact of getting things wrong, CPU limits, JVMs, HPA and VPA, does Karpenter fix the request and limit problem? We’ve got a great episode for you today! Thanks for joining us on Densify Talks! We welcome Daniele Polencic, one of the lead instructors at LearnK8s, which specializes in containers and Kubernetes technologies.

Struggling with underutilized Kubernetes resources or rising cloud costs? Learn how Pepperdata Capacity Optimizer delivers real-time, automated resource optimization for Kubernetes and Amazon EMR workloads—helping teams reduce costs and boost performance without manual tuning. In this video, discover how Pepperdata helps DevOps, platform engineers, and FinOps teams.

Modern IT environments are dynamic, distributed, and constantly evolving. You need more than traditional monitoring to keep everything running smoothly. Site24x7 is your all-in-one, AI-powered infrastructure monitoring solution. What this video covers: Whether you're overseeing AWS, Azure, GCP, OCI, VMware, or Kubernetes, Site24x7 simplifies it all with a single agent and AI-driven insights.

Join Jimil Patel, Head of Technical Product Marketing and Developer Advocacy at Intuit, as he shares the company's transformative journey from cloud-native to AI-native, resulting in a 6x increase in developer velocity. Recorded at Civo Navigate Austin 2025, this talk explores Intuit's Modern SaaS AIR platform, AI-powered developer tools, intelligent auto-scaling, and AIOps-driven operations. Discover how Intuit is redefining the future of software development with real-world examples, including IKS AIR for self-healing runtimes and AI-driven observability, which cut MTTR by 50%.

In this episode, Itiel has an insightful conversation with Dr. David Morrison, a research scientist and founder specializing in Kubernetes scheduling and autoscaling. David shares his journey from operations research to leading distributed systems efforts at tech giants like Yelp and Airbnb. Learn about the transition from Apache Mesos to Kubernetes at Yelp, including the role of their open-source API layer, Pasta.

As organizations expand their Kubernetes deployments and scale production workloads, effective cost management becomes an essential priority. The rapid innovation demanded from development teams often intersects with a shortage of advanced Kubernetes expertise, leading to resource inefficiencies and unnecessary expenses. This challenge is further amplified by the growing prevalence of AI/ML workloads and the intricate demands of GPU utilization.