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About

Welcome to Kubestone, the benchmarking operator for Kubernetes. Kubestone is a benchmarking operator that can evaluate the performance of Kubernetes installations. Supports a common set of benchmarks to measure, CPU, disk, network and application performance. Fine-grained control over Kubernetes scheduling primitives, affinity, anti-affinity, tolerations, storage classes, and node selection. New benchmarks can easily be added by implementing a new controller. Benchmarks runs are defined as custom resources and executed in the cluster using Kubernetes resources, pods, jobs, deployments, and services. Follow the quickstart guide to see how Kubestone can be deployed and how benchmarks can be run. Benchmarks can be executed via Kubestone by creating custom resources in your cluster. After the namespace is created you can use it to post a benchmark request to the cluster. The resulting benchmark executions will reside in this namespace.

About

LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professionals seeking a benchmarking solution to evaluate the performance of Kubernetes installations

Audience

AI engineering and governance teams that need transparent, continuous evaluations to compare models, monitor production behavior, and reduce risk before deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kubestone
kubestone.io/en/latest/

Company Information

LayerLens
United States
stratix.layerlens.ai/

Alternatives

Alternatives

DeepEval

DeepEval

Confident AI
Constellation

Constellation

Edgeless Systems
Braintrust

Braintrust

Braintrust Data

Categories

Categories

Integrations

AI21 Studio
Amazon Web Services (AWS)
Anthropic
Cohere
Databricks
DeepSeek
Google AI Mode
Kubernetes
Meta AI
Microsoft 365
Mistral AI
NVIDIA AI Data Platform
OpenAI
Perplexity
Qwen

Integrations

AI21 Studio
Amazon Web Services (AWS)
Anthropic
Cohere
Databricks
DeepSeek
Google AI Mode
Kubernetes
Meta AI
Microsoft 365
Mistral AI
NVIDIA AI Data Platform
OpenAI
Perplexity
Qwen
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