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.
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.
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
Smart
Machine learning analyzes and identifies optimal configuration based on your goals
Automated
Eliminate manual tuning and let StormForge do the optimization work for you
Easy
Simple, fast configuration of production optimization to start getting value right away
Holistic
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

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
StormForge Fits Into Your Cloud Ecosystem
