Klariq turns your cluster into a conversation. Ask, inspect, troubleshoot, generate YAML, and ship — without leaving the chat.
Type a question in plain English. “Why is checkout failing?” · “Show me cost by namespace.” · “Generate an Ingress with TLS.”
A local LLM picks the right MCP tools — kubectl, Prometheus, AlertManager — and assembles context across signals.
Diagnostics with citations, ready-to-apply YAML patches, cost numbers, security findings — all linked back to live cluster state.
Ask in plain English — Klariq inspects pods, deployments, services, and more in real time.
Cluster health, metrics, events, and logs unified into a single timeline view.
Score every namespace against CIS benchmarks, with one-click remediation hints.
See spend per namespace and workload, with concrete savings recommendations.
Generate manifests from natural language or pick from a curated template gallery.
ArgoCD apps, Helm releases, and audit trail — all surfaced in one workspace.
A pre-loaded production-style AKS workload with pods, deployments, alerts, costs, and ArgoCD apps — explore the full UX in your browser.
Hi, I'm Mehmood — a Certified Kubernetes Administrator (CKA) and DevOps engineer who has spent more late nights than I'd like to admit staring at kubectl describe output, jumping between 6 terminals, and copy-pasting pod names into Grafana just to answer one simple question: “why is this thing broken?”
Every incident felt the same — context scattered across tools, runbooks out of date, YAML errors only revealing themselves at 2 AM. I kept thinking: there has to be a better way.
Klariq is my answer. An AI co-pilot that knows your cluster, speaks your language, and turns hours of debugging into a single conversation. Built by someone who's been on-call, for everyone who still is.
Building developer-friendly platforms on Kubernetes & Azure.
Feedback, ideas, or just curious about the build? I'd love to hear from you.