KubeHA records 378 monthly visits with -80.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
GenAI-powered monitoring, observability, remediation, and exploration for Kubernetes
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | kubeha.com | openlayer.com |
| Pricing Model | Free Trial, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 378 (378) | 48.42K (48,415) |
| MoM Traffic Delta | -1.53K (-80.2%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇲🇽 Mexico (70.8%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 153 | 25.94K |
| User Rating | 3.9 | 4.4 |
| Supported Platforms | Website | Website |
GenAI-powered monitoring, observability, remediation, and exploration for Kubernetes
KubeHA GPT answers plain-English questions about alerts, logs, metrics, and cluster changes, returning actionable answers without manual digging.
Alerts are automatically analyzed with correlated Prometheus graphs, Kubernetes events, and recent deployment changes, then paired with AI-generated fix suggestions and 1-click remediation.
Metrics, events, logs, and traces are correlated in real time with built-in anomaly detection at both metric and log level, so silent failures surface before customers notice.
Built-in scanners such as Trivy and Popeye flag misconfigurations, vulnerabilities, and runtime threats from inside the same platform.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceOpen-source workspace to build, deploy and govern AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Free / Open-sourceFind, prioritize, and fix cloud security risks with AI-assisted workflows
Free / Open-sourceFind, prioritize, and fix cloud security risks with AI-assisted workflows
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
