infraplz.dev
Submit a tool
StormForge logo
StormForge (a CloudBolt company)

StormForge

ML-based Kubernetes resource optimization platform. Machine learning models trained on historical utilization patterns predict optimal CPU and memory requests and limits. Optimize Live provides automated rightsizing that applies via the Kubernetes API or exports as YAML for GitOps. Node Optimization uses ML to guide cluster autoscaler decisions with predictive algorithms. Java JVM heap size recommendations included.

OperateOptimize
Visit website
Last reviewedMay 15, 2026
How we review

Overview

StormForge is a Kubernetes resource optimization platform that applies ML models trained on historical workload utilization to predict optimal CPU and memory resource requests and limits. The optimization engine analyzes 14+ days of metrics per container, computes recommendations calibrated to actual usage distributions, and applies them either directly to live deployments via the Kubernetes API or exports as YAML for GitOps workflows.

Optimize Live is the continuous mode: it monitors utilization in real time and adjusts resource settings as usage patterns shift without manual review cycles. Node Optimization extends the same predictive approach to cluster autoscaler configuration and node group sizing. JVM heap size recommendations cover Java workloads specifically.

Paid-only; PAYG and Enterprise tiers via sales. Kubernetes-only; AWS, GCP, and Azure supported.

Key Features

  • ML rightsizing recommendations: analyzes 14+ days of per-container utilization metrics to predict CPU and memory resource request and limit settings calibrated to actual usage distributions
  • Optimize Live continuous mode: monitors utilization in real time and adjusts resource settings automatically as workload patterns change, without requiring manual review cycles
  • Direct Kubernetes API patching: applies recommended resource settings to live deployments immediately, with optional GitOps export mode that generates YAML for review before application
  • Node Optimization: applies ML-driven predictions to cluster autoscaler configuration and node group sizing, guiding scale-up and scale-down based on forecast workload demand
  • JVM heap size recommendations: specialized optimization for Java workloads that analyzes heap utilization and GC behavior to recommend optimal `-Xmx` and `-Xms` settings
  • EKS, GKE, AKS, and self-managed Kubernetes on AWS, GCP, and Azure with cloud-provider-specific instance selection recommendations

Integrations

5 total
cloud
AWSGCPAzure
orchestration
Kubernetes
ci / cd
Helm

Pricing

2 tiers
PAYG
—

Pay-as-you-go via AWS Marketplace

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Enterprise
Contact sales

Enterprise contract — custom quote

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Compare with similar tools

1 comparison

Compliance

0 / 6 attested
SOC 2
HIPAA
GDPR
FedRAMP
PCI DSS
ISO 27001

No compliance attestations on file. Confirm directly with the vendor before procurement.

Spot something wrong on this page? Report a correction →