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When Karpenter isn’t enough: a real Kubernetes cost teardown
A high-volume payments platform runs hundreds of Kubernetes clusters and thousands of services, with a platform team responsible for the…
What actually happens when a workload OOMs in production
The pager goes off at 2:47 AM. CrashLoopBackOff on a payment service. The on-call rolls over, opens a laptop, runs…
Kubernetes rightsizing trust gap: Why the stakes just got higher
Watch this webinar to learn why Kubernetes rightsizing has become more challenging than ever, especially as AI workloads, rising infrastructure…
Five moves to build confidence in Kubernetes Rightsizing automation
A practical field guide for moving from recommendations to autonomous rightsizing without forcing an all or nothing leap. Most Kubernetes…
Kubernetes utilization benchmark calculator
Kubernetes utilization benchmark How does your Kubernetes utilization compare? See how your cluster’s CPU and memory utilization stack up against…
The lesson of the wasted cluster
Your Kubernetes cluster looks full. Finance is preparing for another hardware purchase. Yet CPU utilization is only 18%. In The…
How to get Slack notifications when StormForge applies recommendations
The StormForge Applier does its job quietly. It watches for recommendations, applies patches to your workloads, and moves on—no fanfare,…
When Hardware Triples in Price, Idle Capacity Becomes a Line Item.
A platform leader at a Fortune 50 company recently told his app teams something that I keep thinking about. The message was very…
StormForge vs ScaleOps: A Technical Comparison of Kubernetes Rightsizing Approaches
StormForge and ScaleOps both automate Kubernetes resource optimization, but they take meaningfully different approaches to how much control you hand over and when. This page walks through the differences in architecture, automation model,…
