Systematic and Continuous Optimization

Proactively ensure cloud native applications are optimized for performance and cost-efficiency before release, and keep them optimized in production. StormForge uses machine learning to analyze your Kubernetes environment and containerized applications in both non-production and production environments to ensure efficiency and deliver in-depth application insights.

Kubernetes Optimization Benefits

Take advantage of powerful, patent-pending machine learning that makes tuning your apps quick and seamless, so you have lower costs, better application performance, and more free time.

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Improve resource efficiency and reduce cloud costs

Achieve and maintain optimal resource utilization at scale, minimize cloud costs, and free up resources for strategic work by optimizing your Kubernetes environment with StormForge.

Deep Application Insights

ML-powered analysis of application behavior helps you understand and visualize application behavior under a wide range of scenarios to identify cloud native architecture improvements.

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From Observability to Actionability

Use machine learning to analyze observability data and find opportunities to reduce cloud resource usage and cost while minimizing risk of CPU throttling or out-of-memory errors.

The StormForge Difference


Machine learning analyzes and identifies optimal configuration based on your goals

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Eliminate manual tuning and let StormForge do the optimization work for you


Simple, fast configuration of production optimization to start getting value right away


The only solution to combine pre-deployment and production optimization in a single platform

How StormForge
Kubernetes Optimization Works

StormForge is the only solution that combines proactive optimization in non-production environments with continuous optimization in production. Deploy applications with confidence and keep your cloud native environment running smoothly.

Production Optimization
with StormForge Optimize Live

  • Observation-based optimization for production environments
  • Leverages observability data already being collected
  • ML recommends CPU, memory and HPA target utilization to improve efficiency
  • Enables bi-dimensional autoscaling
  • Simple configuration, fast time-to-value

See how Optimize Live works
screenshots of the StormForge Optimize Live showing recommended settings based on the current experiment
Multiple screenshots of the StormForge Kubernetes App Optimization dashboard, depicting multiple parameters and graphs

Pre-prod Optimization
with StormForge Optimize Pro

  • Experimentation-based optimization for non-prod environments
  • Uses load testing to simulate range of scenarios
  • Deploy applications with confidence
  • Deep application insights to drive architectural improvements

See how Optimize Pro works

StormForge Fits Into Your Cloud Ecosystem

See the Full Ecosystem
StormForge Cloud Ecosystem