Sold by: StormForge
Deployed on AWS
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StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure applications are both cost effective and performant while removing developer toil.
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Overview
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil.
As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale.
Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized and freeing developers from the toil and cognitive load of infrastructure sizing.
Highlights
- StormForge Optimize Live automatically detects, analyzes, and predictively rightsizes your workloads in K8s using machine learning.
- 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.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
StormForge Consultation | 60 Min Consultation with StormForge | $1.00 |
Optimize Live | Automatic K8s Workload Rightsizing - 1000vCPUs | $2,700.00 |
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Machine Learning-Based Resource Optimization
Analyzes usage data with advanced machine learning to recommend optimal resource requests and limits for Kubernetes workloads, addressing both over- and under-provisioned resources.
Autonomous Vertical Pod Rightsizing
Continuously and autonomously rightsizes Kubernetes workloads through vertical scaling, working seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale.
Predictive Workload Analysis
Automatically detects and analyzes workload patterns to predictively rightsize resources, accounting for changes in traffic patterns and application resource requirements.
GitOps Workflow Integration
Integrates with GitOps workflows including Argo and Flux, enabling automatic enforcement of recommendations without requiring changes to manifests or pipelines.
Flexible Deployment Scheduling
Deploys recommendations automatically on a flexible schedule with tunable parameters to ensure workloads remain optimized while accommodating dynamic application requirements.
Real-time Cost Monitoring
Cost monitoring and visibility by namespace, workload, and custom tags with application-level granularity
Automated Cluster Autoscaling
Fastest cluster autoscaler with real-time rightsizing and pricing arbitrage across AWS instance types
Workload Migration with Zero Downtime
Live Kubernetes container migration capability including stateful workloads with zero downtime and resource fragmentation elimination
Bin Packing and Resource Optimization
Automated bin packing and resource utilization optimization to ensure maximum instance efficiency
Spot Instance Management
Automated spot instance management and pricing arbitrage for cost optimization across instance purchasing options
Automated Pod Resource Optimization
Continuously analyzes container compute usage and vertically scales Kubernetes pods to meet demand during runtime with zero disruption
Node Cost Optimization
Identifies opportunities to remove under-provisioned nodes, replace expensive nodes with cheaper alternatives, and consolidate pods onto more efficient compute resources
Real-Time Resource Adjustment
Automatically adjusts compute resources in response to real-time changes in workload demand
Read-Only to Automated Scaling Progression
Supports graduated deployment model starting from read-only recommendations and progressing to continuous automatic optimization
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Customer reviews
Sooryaprabhath P.
Best performance testing tool
Reviewed on Jan 10, 2024
Review provided by G2
What do you like best about the product?
Genuine user interaction for performance testing which I like the best.
What do you dislike about the product?
User experience is the one which I don't like that much.
What problems is the product solving and how is that benefiting you?
It solves challenges in web app performance in realistic load testing.