stormforge.io | Automated Kubernetes Resource Management | Website analytics by TrustRadar
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stormforge.io Kubernetes Optimization Cloud Cost Management Machine Learning DevOps Tools AI-Powered Solutions

stormforge.io | Automated Kubernetes Resource Management

With StormForge's Kubernetes Resource Management, you can reduce costs, improve performance, & accelerate innovation. Request a demo & start optimizing…

StormForge is a cutting-edge platform designed to optimize Kubernetes applications through machine learning. It helps businesses reduce cloud costs and improve application performance by automatically tuning Kubernetes configurations. StormForge leverages AI to analyze application behavior and suggest optimal resource settings, making it easier for teams to deploy efficient and cost-effective applications in the cloud.

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Founded in

2020

Supported Languages

English, etc

Website Key Features

Automatic Kubernetes Tuning

Uses machine learning to automatically adjust Kubernetes configurations for optimal performance and cost.

Cost Savings

Helps reduce cloud costs by identifying and eliminating inefficiencies in resource usage.

Performance Optimization

Improves application performance by optimizing resource allocation based on actual usage patterns.

AI-Powered Recommendations

Provides actionable recommendations for Kubernetes configurations based on AI analysis.

Easy Integration

Seamlessly integrates with existing Kubernetes clusters and CI/CD pipelines.

Real-Time Monitoring

Offers real-time monitoring of application performance and resource usage.

Customizable Policies

Allows users to define custom policies for resource allocation and performance thresholds.

Multi-Cloud Support

Supports Kubernetes clusters across multiple cloud providers.

Additional information

Headquarters

Boston, Massachusetts, USA

Founders

Matt Provo and Tom Trahan

Industry

Cloud Computing, Artificial Intelligence

Website

https://www.stormforge.io

Social Media

LinkedIn, Twitter

Funding

Venture Capital Backed

Target Audience

DevOps teams, Cloud Engineers, IT Managers

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