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Pepperdata

The Complete Guide to Kubernetes Cost Optimization

Mar 24, 2026 By Pepperdata In Pepperdata
Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security. However, as enterprise cloud adoption continues to accelerate, that agility often comes with an unintended and costly side effect: skyrocketing cloud bills.
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Pepperdata

Install Kubernetes Cost Optimization: How to Get Started with Pepperdata

Mar 14, 2026 By Pepperdata In Pepperdata
To watch the full walkthrough video on the Pepperdata self-service install, click the link here. Many organizations struggle to efficiently manage their cloud costs, and that arises from difficulties in managing Kubernetes resources. Of the $419 billion spent on cloud infrastructure in 2025 (Synergy Research Group), Flexera estimates that 27% of all of cloud spend is wasted due to overprovisioned resources.
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Pepperdata Launches Global Partner Program to Optimize Efficiency and Spend for GPUs and Kubernetes Workloads Worldwide

Pepperdata Launches Global Partner Program to Optimize Efficiency and Spend for GPUs and Kubernetes Workloads Worldwide

Nov 24, 2025 By Pepperdata In Pepperdata
Pepperdata announces launch of its Global Partner Program, a bold new initiative that brings together systems integrators, technology providers, and consultancies with Pepperdata's dynamic resource optimization platform for the cloud and on-premises environments.
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Pepperdata Launches Optimization for AI Infrastructure, Delivers up to 30% Savings on GPUs

Pepperdata Launches Optimization for AI Infrastructure, Delivers up to 30% Savings on GPUs

Nov 10, 2025 By Pepperdata In Pepperdata
ATLANTA - November 10, 2025 - Pepperdata, the leader in Kubernetes resource optimization in the cloud and on prem, today announced the general availability of pepperdata.ai, a groundbreaking, automated optimization solution to reduce the cost of running AI workloads on GPUs. Attendees are invited to visit Pepperdata's booth at KubeCon and CloudNativeCon North America 2025 on November 11-13 at the Georgia World Congress Center in Atlanta, GA, to discover how Pepperdata helps organizations-including members of the Fortune Five-automatically maximize the efficiency and cost-effectiveness of their AI infrastructure and workloads.
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Pepperdata

Vertical Pod Autoscaling: How It Compares to Pepperdata Capacity Optimizer

Jul 15, 2025 By Pepperdata In Pepperdata
Vertical Pod Autoscaling (VPA) is a component within Kubernetes designed to automatically resize the CPU and memory requests of pods based on their observed, historical usage patterns. While Pepperdata Capacity Optimizer and VPA both change the resource requests of pods in response to changing application resource requirements, there are several key differences.
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Pepperdata

Pepperdata Helps Karpenter Work Better

Jul 1, 2025 By Pepperdata In Pepperdata
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.
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Pepperdata

Myth #5 of Kubernetes Resource Optimization: Spark Dynamic Allocation

Jun 27, 2025 By Pepperdata In Pepperdata
In this blog series we’re examining the Five Myths of Kubernetes Resource Optimization. The fifth and final myth in this series relates to another common assumption of many Kubernetes users: Dynamic Allocation for Apache Spark applications automatically prevents Spark from overprovisioning resources while improving workload utilization levels.
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Pepperdata

Myth #4 of Kubernetes Resource Optimization: Manual Tuning

Jun 20, 2025 By Pepperdata In Pepperdata
In this blog series we’ve been examining the Five Myths of Kubernetes Resource Optimization. The fourth myth we’re considering relates to a common misunderstanding held by many Kubernetes practitioners: manual application tuning can increase resource utilization in my applications. Let’s dive into it.
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Pepperdata

Myth #3 of Kubernetes Resource Optimization: Instance Rightsizing

Jun 12, 2025 By Pepperdata In Pepperdata
In this blog series we are examining the Five Myths of Kubernetes Resource Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Kubernetes practitioners: Choosing the right instances will eliminate waste in a cluster.
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