Proactive rightsizing that prevents performance risk

Proactive ML-forecasting
Predict resource needs before they impact performance. Our engine analyzes usage patterns every 15 seconds to forecast demand—adjusting resources in real-time to handle daily spikes and seasonal trends while preventing OOMKills and latency.

Bi-dimensional scaling
Harmonize vertical and horizontal pod adjustments. Unlike tools that conflict with the Kubernetes Horizontal Pod Autoscaler (HPA), StormForge fine-tunes resource requests and HPA utilization targets in tandem to maximize node density without risking application stability.

The first JVM-aware rightsizer
Go deeper than standard tools. StormForge optimizes Java heap sizes and container memory limits together, shrinking your footprint without triggering garbage collection (GC) storms or container crashes.

Real metrics, not approximations
Stop guessing with list prices. Connect recommendations directly to your actual cloud bills—reflecting your negotiated rates and enterprise discounts—to see the real dollar impact across every cluster, namespace, and workload.