StormForge by CloudBolt logo

StormForge by CloudBolt

by CloudBolt
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Quick facts
VendorCloudBolt
Year launchedN/A
StatusSold
Location3100 Clarendon Blvd, Suite 200, Arlington, VA 22201
Countries servedN/A
Languages1
IntegrationsN/A
Free tierNO
Free trialYES
Contact salesYES

About StormForge by CloudBolt

StormForge, a CloudBolt product, is a Kubernetes resource management platform. It uses machine learning to automate resource allocation, aiming to reduce cloud costs and improve application performance by rightsizing workloads.

StormForge, now part of CloudBolt, is a platform for automated Kubernetes resource management. It uses machine learning to continuously optimize resource allocation, aiming to reduce cloud costs by 50-70%. The system automatically rightsizes containers, preventing both over-provisioning (waste) and under-provisioning (performance issues like CPU throttling and OOM errors). By automating Kubernetes requests and limits, StormForge reduces manual toil for DevOps and SRE teams. It supports various Kubernetes environments, including a specific 'Auto Mode' for Amazon EKS. The solution is a hybrid SaaS, with an agent in the user's cluster and a managed control plane. A free trial is available, but detailed pricing requires a sales inquiry.

Pros & Cons

Pros
  • Uses machine learning to automate Kubernetes resource sizing, reducing manual effort.
  • Aims to significantly reduce cloud costs by eliminating wasted CPU and memory.
  • Helps ensure application performance by preventing resource-related errors like throttling and OOM kills.
  • Offers a free trial and a live sandbox to test the platform's capabilities.
  • Integrates with standard Kubernetes tools like HPA and Karpenter.
Cons
  • Primarily focused on Kubernetes, offering less value for non-containerized environments.
  • Pricing is not publicly published, requiring contact with sales for details.
  • The solution has a hybrid architecture, which may not suit organizations with strict no-SaaS policies.

Features

Key features

Automated Resource Management

Uses machine learning to continuously discover and rightsize Kubernetes workloads based on utilization data.

Kubernetes Cost Optimization

Automatically rightsizes over-provisioned containers to increase pod density and reduce cloud costs by eliminating wasted CPU and memory.

Application Performance Management

Prevents CPU throttling and out-of-memory errors by automatically upscaling underprovisioned workloads.

Horizontal Pod Autoscaling (HPA) Harmony

Works with the standard Kubernetes HPA to provide both vertical and horizontal scaling.

Java Heap Optimization

Provides specific optimization capabilities for Java applications running on Kubernetes.

Additional features

Karpenter Cluster Optimization

Integrates with Karpenter for enhanced pod and node optimization.

Amazon EKS Auto Mode

Offers specialized automation and integration for Amazon Elastic Kubernetes Service.

Pod Auto-Discovery

Automatically discovers new workloads across the entire estate for continuous optimization.

GitOps Integration

Enforces recommendations alongside tools like Argo or Flux without changing manifests.

Performance Testing

Includes capabilities for performance and load testing of applications.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Countries served
1
Interface languages
Billing currencies

Interface languages

English

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