Overview
News
Salaries
Products
People
Growth
Offices
Financials

Overview

Pepperdata dynamic Kubernetes resource optimization for data workloads increases utilization by up to 80%, improves performance, and reduces costs in real time.

News

Blog 7 months ago
The Complete Guide to Kubernetes Cost Optimization
Reduce your cloud costs immediately without slowing down engineering Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security
Read more
Report
Blog 7 months ago
Install Kubernetes Cost Optimization Quickly: How to Get Started with Pepperdata
See how easy it is to install Pepperdata in this 4-minute step-by-step video. Many organizations struggle to control their cloud costs, and that arises from difficulties in managing Kubernetes resources. Of the $419 billion spent on cloud infrastructure i
Read more
Report
Pepperdata Introduces Pepperdata.ai to Reduce Cost of AI Workloads on GPUs
Pepperdata, a leader in Kubernetes resource optimization in the cloud and on prem, is debuting the general availability of pepperdata.ai, an automated optimization solution to reduce the cost of running AI workloads on GPUs.
Read more
Report
Blog 1 year ago
Bonus Myth of Kubernetes Resource Optimization
In this blog series we've examined Five Myths of Kubernetes Resource Optimization. But one final, bonus myth remains unaddressed: I've done everything I can. The overprovisioned resources that lead to underutilized CPU and memory in my workloads is just t
Read more
Report
Blog 1 year ago
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 availab
Read more
Report
Blog 1 year ago
Myth #5 of Kubernetes Resource Optimization: Spark Dynamic Allocation
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 p
Read more
Report
Blog 1 year ago
Why Manual Tuning Fails: A Better Way to Optimize Kubernetes Workloads
As a platform engineer, you're tasked with running complex workloads-Apache Spark jobs, AI/ML pipelines, batch ETL-across dynamic Kubernetes environments. Performance matters. Time spent tuning matters. And so does cost. But if you're still relying on man
Read more
Report
Blog 1 year ago
Increase Resource Utilization up to 80%-Automatically
Companies running Kubernetes workloads often discover significant and unexpected waste or underutilized resources in their compute environment. Smart organizations implement a host of FinOps activities to mitigate this waste and the cost it incurs: Implem
Read more
Report
Blog 1 year ago
The 5 Reasons to Buy (And Not Build!) Your Cost Optimization Solution
"Why buy a cloud cost optimization solution when I can just build it myself?" Here at Pepperdata, we often hear this question. Many of our prospects and customers have gone to great lengths implementing various optimization strategies and solutions to mit
Read more
Report
Show more news