The Challenge

As enterprises adopt cloud native technologies at an
exploding rate, increasing complexity makes day 2 operations a challenge. Observability tools are helpful, but taking actions based on the data collected is still a gap.

The result? Inefficient applications costing millions, performing poorly, and thousands of hours of lost productivity every year.


94% of organizations running Kubernetes say that it is a source of pain or complexity for their organization.

58% say that managing the Kubernetes infrastructure and ecosystem is their top challenge.

51% of developers and architects say building cloud native applications makes them want to find a new job.

Kubernetes users estimate that 48% of their total cloud spend is wasted on idle or over-provisioned resources.

StormForge Automates Kubernetes Resource Efficiency

StormForge Optimize Live applies machine learning to your existing observability metrics to make real-time, actionable recommendations to resource settings for any deployment running in Kubernetes. Save cloud resources and money, reduce the business risk of poorly performing applications, and get your developers focused on innovating, not tuning your Kubernetes environment.

Observation-based Optimization

StormForge Optimize Live leverages the observability data you’re already collecting, using machine learning to find opportunities to reduce cloud resource usage and cost while minimizing risk of CPU throttling or out-of-memory errors. Based on historical usage and performance metrics, Optimize Live delivers a continuous, intelligent, and automated approach to maintaining Kubernetes efficiency in production.

Fast Time to Value

Taking only minutes to configure, StormForge Optimize Live can start delivering value for your enterprise today. Specify how frequently you want to see new recommendations, your tolerance for risk, and whether you want to automatically implement or manually approve recommendations, and you’re good to go. Optimize Live will immediately start analyzing your Kubernetes production environment and find ways to save.

Confidently Deploy Recommendations

As StormForge machine learning makes recommendations, you can choose to put your operations on autopilot by automatically accepting and implementing changes in production, or you can choose to manually approve. Risk tolerance can also be set to low, medium, or high for each application, so you can treat mission critical apps more conservatively, for example. With StormForge, you’re always in full control.

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Part of the StormForge Platform

StormForge Optimize Live is just one part of the only complete Kubernetes optimization platform, which also includes:

  • StormForge Optimize Pro – Proactive, non-production scenario planning and optimization with in-depth application insights.
  • StormForge Performance Testing – Load test your Kubernetes applications for performance and availability at scale, automated into your CI/CD workflow.

The Value of Optimizing Applications with StormForge

Cloud with speed dial and money symbol suggesting lower cost and high speed

Improve resource utilization and reduce cloud costs by 30% or more

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Leverage existing observability data and provide actionable insights

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Reduce risk of CPU throttling and out-of-memory errors

Realize value quickly and easily, with minimal configuration required

Improve developer productivity by eliminating manual, trial-and-error tuning

StormForge Optimize Live analyzes observability data to recommend Kubernetes CPU and memory settings to reduce wasted resources and improve application performance in your Kubernetes production environment.

Get Started with StormForge

Want to learn more about how the StormForge Platform can optimize your applications?
Contact us to schedule a personalized demo.