StormForge

Intelligent application performance testing and resource optimization.

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Overview

StormForge provides a platform for pre-production performance testing and production resource optimization for Kubernetes applications. It uses machine learning to help developers ensure their applications are both performant and cost-efficient.

✨ Key Features

  • Performance testing as code
  • Machine learning-driven optimization
  • Kubernetes resource rightsizing
  • CI/CD integration
  • Load testing

🎯 Key Differentiators

  • Combination of performance testing and resource optimization
  • Machine learning-driven approach
  • Focus on pre-production optimization

Unique Value: Provides a machine learning-driven solution for automatically finding the optimal balance between application performance and cost.

🎯 Use Cases (4)

Continuous performance testing Application tuning and optimization Kubernetes rightsizing Shift-left performance engineering

✅ Best For

  • Automatically finding the optimal CPU and memory settings for a Kubernetes application
  • Integrating performance testing into a CI/CD pipeline

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Organizations that only need cost visibility without performance tuning

🏆 Alternatives

Densify Granulate BlazeMeter

Offers a more proactive and automated approach to application tuning than tools that focus on reactive monitoring and rightsizing.

💻 Platforms

Web API

🔌 Integrations

Kubernetes Jenkins GitLab CircleCI Prometheus Datadog

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: NA

📊 Market Info

Customers: 50-100

Total Funding: $20.5M

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