Directory Observability & MonitoringStormForge

StormForge

Funded

Automated Kubernetes resource management with machine learning optimization

About StormForge

StormForge delivers automated Kubernetes resource management solutions designed to optimize containerized workloads for enterprise environments. By leveraging machine learning, StormForge continuously analyzes workload utilization to rightsize Kubernetes pods, reducing over-provisioning and preventing under-provisioning. This approach maximizes cluster efficiency, improves application performance, and significantly lowers cloud infrastructure costs.

Targeted at enterprises running Kubernetes at scale, StormForge enables development and operations teams to eliminate manual resource configuration, reduce operational toil, and improve resiliency. Its platform supports vertical and horizontal autoscaling, integrates with Kubernetes Horizontal Pod Autoscaler (HPA), and works seamlessly with tools like Karpenter for cluster optimization. StormForge’s continuous optimization capabilities allow organizations to automate resource rightsizing across clusters, freeing teams to focus on delivering business value rather than infrastructure management.

Key Capabilities

✓Machine learning-based Kubernetes resource rightsizing
✓Vertical and horizontal pod autoscaling automation
✓Integration with Kubernetes Horizontal Pod Autoscaler (HPA)
✓Cluster optimization with Karpenter integration
✓Continuous workload discovery and optimization

Integrations

KubernetesKarpenterAmazon EKS

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .