JVM Workload Optimization Now in Limited Availability – Sign Up!

Optimize Live

Autonomous Rightsizing for Kubernetes Workloads

Horizontal Autoscaling PERFORMANCE with Vertical Autoscaling EFFICIENCY

Start A Trial Enter Sandbox

Watch An Install

Free trial includes full version on 1 cluster for 30 days!

Maximize efficiency and ensure performance with bi-dimensional autoscaling

Unlike basic vertical autoscaling approaches (such as VPA) that conflict with Kubernetes’ built-in Horizontal Pod Autoscaler (HPA), Optimize Live uses a forecast-based machine learning algorithm to continuously harmonize requests and limits with standard HPA utilization targets, giving you the best of both worlds:

  1. HORIZONTAL pod autoscaling replicates pods in seconds, ensuring performance when faced with a sharp spike in demand.
  2. VERTICAL pod autoscaling continuously aligns resources to application demand as utilization ebbs and flows over hours, days and weeks.
Read Blog Post

Rightsize Accurately

Applications perform reliably and cost effectively — even under fluctuating demand — with infrastructure that is optimally scaled using an advanced workload forecasting machine learning algorithm that analyzes seasonal trends.

This goes far beyond basic statistical approaches. A fine-grained understanding of each new workload’s demand patterns is built in just a few days with resource utilization analyzed every 15 seconds.

A hexagon pattern illustrating the concept of rightsizing Kubernetes workloads accurately

Preview Impact to Gain Trust

Seeing is believing. Compare how Optimize Live’s recommendations would perform against your current settings, including resource consumption, utilization, and estimated cost savings.

an image of the StormForge Optimize live UI showing a recommendation summary where users can preview impact

Simplify at Scale

Intelligent Enough to Plug-And-Play

Begin optimizing clusters in minutes with automatic discovery, machine learning analysis, and reliable recommendations ready to deploy in a week.

No human configuration or tuning required.

an illustration of Mel, the StormForge machine learning mascot

Autonomous at Enterprise Scale

Put estate-wide rightsizing on autopilot with hands-free lifecycle automation. Optimize Live automatically discovers each new pod, captures its metrics, learns its patterns, calculates optimum settings, and applies them.

After investing 2 minutes in onboarding a cluster, no further manual steps are required.

an illustration demonstrating how StormForge Optimize Live automatically calculates optimum settings, and applies them.

Tuning Optional

Tailor optimization for specific business-critical or outlier workloads:

  • Select an optimization goal for extra reliability or savings
  • Specify resizing frequency
  • Set min/max requests
  • Include or exclude resource settings such as limits
  • And other guardrails as needed
An image of the StormForge Optimize Live UI tuning settings

Integrates with Your GitOps Workflow

Ensure recommendations are always enforced alongside Argo or Flux.  No need to change your manifests or pipelines — unless you want to.   

An image of the StormForge Optimize Live UI that shows how the product Integrates with Your GitOps Workflow

Unify Visibility and Control

See all your workloads in one place. Track resource savings and opportunities across clusters, namespaces, and workloads.

An image of the StormForge Optimize Live UI showing how the product can Unify Visibility and Control

Seeing is Believing

Start getting rightsizing recommendations minutes from now.

Start A Trial Enter Sandbox

Watch An Install

Free trial includes full version on 1 cluster for 30 days!

We use cookies to provide you with a better website experience and to analyze the site traffic. Please read our "privacy policy" for more information.