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Automated Kubernetes resource management for platform engineering teams to continuously rightsize workloads with HPA compatibility.
Let machine learning and automation do it for you
Automatically rightsize over-provisioned containers with vertical autoscaling to increase pod density, free up cluster capacity, and save 50-70% in cloud costs by eliminating thousands of dollars per node in wasted CPU and memory.
Prevent CPU throttling and out of memory errors by automatically upscaling underprovisioned workloads while meeting sharp spikes in demand with horizontal pod autoscaling (HPA).
Save app teams from the toil and cognitive load of infrastructure sizing by continuously discovering workloads and rightsizing based on actual utilization data.
Put rightsizing on autopilot estate wide with hands-free automation, from pod auto-discovery to continuous optimizations.
Customer Testimonial
"StormForge has added immediate gains by overall net-capacity savings due to overprovisioned workloads.
Additionally, StormForge has altered many production workload accommodate for organic growth, leading to better resiliency, stability, and less developer intervention for capacity management.
Had we implemented StormForge earlier on, we would have prevented several performance related outages due to unaccounted growth and utilization. Furthermore, the overall net savings on capacity has given us tremendous cost savings."
— Mark Piersak, Vice President, Manager, Container Platform Solutions, US Bank
2 minutes!
1 week for full recommendations
Optionally (e.g. high-profile and outlier workloads) select pre-built optimization profiles and simple guardrails
...as fast as you'd like!
Start getting rightsizing recommendations minutes from now.
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Free trial includes full version on 1 cluster for 30 days!
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