StormForge on AWS
StormForge optimizes the efficiency of your Amazon EKS-based applications to reduce cloud costs, improve application performance, and free up developers to focus on innovation.
StormForge continuously rightsizes workloads by analyzing usage data to recommend optimal resource settings that improve efficiency and reliability.
Challenge
Inefficient Kubernetes configurations result in millions of dollars in wasted cloud resources, business-impacting availability issues, and thousands of hours of lost productivity every year.
Solving for this inefficiency is technically complex, and it pits teams against each other over how and what to do about it.
The StormForge Solution
With advanced machine learning, StormForge analyzes each workloads’ usage over time, recommending settings that minimize unused resources while ensuring applications have the resources they need for reliable, high performance.
Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always rightsized, and freeing developers from the toil and cognitive load of infrastructure sizing.
StormForge integrates seamlessly with Karpenter, the high-performance, open-source Kubernetes cluster autoscaler that was introduced by AWS. Using Karpenter alongside StormForge ensures pods are rightsized, scaled most efficiently, and placed on optimally sized nodes for additional cost savings.
StormForge enables platform, DevOps, and SRE teams to understand the impact of their Kubernetes applications and ensure they operate efficiently to minimize costs while ensuring performance and reducing toil.
Purpose Built for Kubernetes
Cloud and distribution agnostic, StormForge runs anywhere EKS runs.
Proactive Resource Optimization
Optimizing your cloud native applications means using just the right amount of resources you need, which translates to lower cloud costs and improved reliability.
Built for Enterprise Scale
Put estate-wide rightsizing on autopilot with hands-free lifecycle automation. After onboarding a cluster in two minutes, no other manual steps are needed.
Patented machine learning goes beyond simply analyzing historical data to intelligently recognize and adapt to trends, seasonal patterns, and noise levels in workload usage.
2 minutes!
1 week for full recommendations
Optionally (e.g. high-profile and outlier workloads) select pre-built optimization profiles and simple guardrails
...as fast as you'd like!
Available on the AWS Marketplace
Quickly and easily implement StormForge to ensure the highest return on your Kubernetes investment.
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