AI Workloads Management
Continuously right-sizes and manages your Kubernetes workloads, matching requests, limits, and replicas to real demand — no more guesswork.
Capnode is an autonomous AI SRE. It detects 25+ Kubernetes failure modes, diagnoses the root cause, and remediates safely — in milliseconds — while you sleep.
From right-sizing workloads to healing crash loops in milliseconds — Capnode covers the full operational surface of your cluster.
Continuously right-sizes and manages your Kubernetes workloads, matching requests, limits, and replicas to real demand — no more guesswork.
Dissolves idle dev and non-prod resources — pods, load balancers, nodes — then restores them on your first push. Cloud spend drops, velocity doesn't.
Natively detects 25+ failure modes — CrashLoopBackOff, OOMKilled, ImagePullBackOff, PVC pending, HPA thrash, DNS outages, cert expiry, node pressure — before users notice.
A memory-first deterministic engine heals OOMKills and CrashLoops in milliseconds. Safe actions auto-run; risky ones wait for a human — true human-in-the-loop.
An RBAC-scoped, least-privilege agent that scans posture for risk — and by design never mutates its own namespace. Safety is structural, not optional.
"Why is this pod crashing?" Aria, the conversational layer, reads your live cluster and returns a verified answer — with the evidence and the fix.
A failure becomes a fix in one continuous loop — most of it before a human is even paged.
The Go agent streams live cluster state and flags an anomaly the instant it appears — a pod stuck in CrashLoopBackOff, a node under memory pressure.
Capnode correlates events, logs, and history to pinpoint root cause — then Aria explains it in language your whole team understands.
Safe remediations run in milliseconds; risky ones request approval. Every resolution is remembered, so the next fix is faster.
Deploy the Capnode agent in minutes. Watch it detect, diagnose, and heal — then let it learn your environment.