Our mission
Kubernetes shouldn't cost you your sleep.
The same pattern repeats in every platform team. A pod starts crash-looping at 3am.
PagerDuty fires. Someone half-awake opens a laptop, runs kubectl describe,
scrolls events, recognizes the OOMKill they've seen a dozen times before, bumps the
memory limit, and goes back to bed — until it happens again next week on a different
service. The runbook is in someone's head. The fix is mechanical. The toll is human.
And while everyone's busy firefighting, the cluster quietly bleeds money: idle dev
namespaces left running over the weekend, load balancers nobody decommissioned,
oversized requests that reserve capacity no workload ever uses. The waste is invisible
right up until the cloud bill arrives.
Capnode's answer is a closed loop that runs continuously, on every cluster, without a
human in the seat: Detect → Diagnose → Remediate → Learn.
- Detect. The agent natively recognizes 25+ failure modes — CrashLoopBackOff, OOMKilled, ImagePullBackOff, pending PVCs, HPA thrash, DNS outages, cert expiry, node pressure, configmap drift — before they ever surface as an alert. No Prometheus required.
- Diagnose. Capnode correlates events, spec, and history into a verified, evidence-backed root cause — not a guess. Ask Aria, the conversational layer, "why is this pod crashing?" in plain English and get an answer you can trust, with the receipts.
- Remediate. A memory-first deterministic engine heals known failures like OOMKills and CrashLoops in milliseconds. Safe, reversible actions run automatically; risky ones wait for a human click.
- Learn. Every incident and resolution feeds the memory. The next time the same shape appears — on this cluster or another — the fix is already known.
That loop doesn't just keep clusters healthy. It also dissolves idle non-prod resources
at rest and restores them on the first push, right-sizes workloads to real demand, and
continuously scans cluster posture — so reliability, cost, and security all improve from
the same closed loop.