Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Containers, Kubernetes, Docker and related technologies.

What Impacts GKE Pricing? A Guide To Kubernetes Spending

Google Cloud released Google Kubernetes Engine (GKE) as a commercial version of native Kubernetes (K8s). GKE promises a user-friendly, reliable, and cost-effective service. Yet calculating GKE costs can be daunting, including understanding what you’re paying for and maximizing your return on investment. In this GKE pricing guide, we’ll discuss how GKE pricing works, what it costs, and more.

Pepperdata Helps Karpenter Work Better

Running Kubernetes on AWS? You're probably using Karpenter, the open-source autoscaler that dynamically provisions new instances as your EKS workloads grow. Karpenter launches rightsized instances in real time in response to pending pods, based on available instance types and the resources applications need. It also terminates underutilized nodes to reduce costs.

Get Ready for the Next Level of Gaming!

Recorded at Civo Navigate Austin 2025, join industry experts from Perforce, Gametree, and Streamfog as they share their insights on the current state of technology in gaming, cloud-native technologies, and the future of tech in gaming. This panel discussion explores the latest trends and innovations in game development, AI-powered gaming, and emerging business models, revealing how the gaming industry is leveraging cloud-native technologies, AI, and other cutting-edge tech to drive innovation and growth.

Kubernetes Cost Optimization Done Right

Kubernetes was never just about cost savings. It was built to be a robust, scalable, and efficient platform for orchestrating containerized applications. And it was meant to abstract infrastructure away so developers could move quickly and go about their business of developing. But as Kubernetes adoption scaled, so did cloud bills. FinOps tools emerged to rein in spending, but most only scratch the surface.

A Quick Guide To Kubernetes Observability

Many companies are rapidly adopting cloud-native computing services, like containers, microservices, and serverless computing. Unlike monolithic applications, these technologies rely on distributed architectures. Whether you are running them in the cloud, on-premises, or both, distributed systems consist of thousands or millions of processes and components. The challenge now is to make these complex systems’ inner workings visible, controllable, and improvable.

13: Effective Resource Optimization and Kubernetes Insights with Daniele Polencic

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.

Pepperdata Resource Optimization for Data Workloads on Kubernetes

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.

#046 - Simulating, Scheduling, and Saving: Optimizing Kubernetes with David Morrison (Applied Res...

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.