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:

✅ Optimize Kubernetes CPU, memory, and GPU utilization—up to 80% improvement
✅ Lower cloud infrastructure costs by an average of 30%
✅ Automatically rightsize workloads in real-time without scripts or schedules
✅ Achieve 100% ROI, with many users seeing even higher returns

Traditional Kubernetes resource allocation relies on static provisioning and peak usage assumptions. Pepperdata changes that—providing the Kubernetes scheduler with second-by-second visibility into real-time workload utilization, so it only spins up new nodes when absolutely necessary.

Ideal for data-intensive applications, AI/ML pipelines, and cloud-native environments.

🚀 Try Pepperdata free today and start optimizing your Kubernetes clusters:
🔗 Request a Demo
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