Sold by: StormForgeÂ
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.
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.
Details
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Deployed on AWS
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Pricing
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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Workload Optimization
Autonomous vertical rightsizing solution for Kubernetes workloads using advanced machine learning analysis
Machine Learning Algorithms
Advanced predictive analytics for detecting and recommending optimal resource requests and limits
Kubernetes Integration
Native compatibility with Kubernetes horizontal pod autoscaler (HPA) and seamless enterprise-scale deployment
Resource Analysis
Continuous monitoring and evaluation of application usage data to identify over- and under-provisioned workloads
GitOps Workflow Support
Automated recommendation enforcement compatible with GitOps methodologies like Argo and Flux
Cluster Autoscaling
Automated Kubernetes cluster scaling with real-time rightsizing and dynamic instance management
Cost Monitoring
Granular cost tracking capabilities across namespaces, workloads, and application tags
Instance Optimization
Automated pricing arbitrage and intelligent spot instance management for infrastructure efficiency
Node Management
Automated node pool handling and dynamic node configuration without manual intervention
Resource Rightsizing
Intelligent resource allocation and continuous optimization of Kubernetes cluster infrastructure
Resource Optimization
Automated continuous analysis and vertical scaling of Kubernetes pods based on real-time compute usage
Cluster Management
Proactive identification and removal of under-provisioned nodes and consolidation of pods onto more efficient compute resources
Deployment Mode
Self-hosted platform with quick two-minute installation process
Runtime Optimization
Zero-disruption automatic pod optimization during runtime
Workload Analysis
Capability to handle critical production workloads in full automation mode
Validated by AWS Marketplace
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1 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
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.