Kubernetes efficiency, across every cloud you run.
KubeHero is a unified cost and efficiency plane for AKS, GKE, and EKS. Find idle CPU, forgotten namespaces, and underused GPUs — then enforce a hard spending ceiling with a Kubernetes-native spend ceiling.
Kubernetes is a scheduler, not an economist.
It does exactly what you ask. And what most teams ask for is 6× more capacity than they actually use. Here's what that looks like at the pod, node, and cluster layer.
Requests are fiction.
Developers set CPU/memory requests once, to avoid the 3AM page. Industry studies report real utilization at ~13% of what pods request. The other 87% is paid-for air.
Limits are scar tissue.
That 16 vCPU limit on a service that uses 0.4 average? Someone set it during an incident six months ago. Nobody touches it because nobody knows why it's there.
GPUs are the silent killer.
A single idle A100 burns ~$32/hour. H100s worse. Most clusters have 30–60% GPU idle time that never shows up in a dashboard until finance opens the invoice.
The autoscaler doesn't know your budget.
Karpenter and the cluster autoscaler optimize for scheduling, not spend. A bad deploy can spawn 400 nodes before anyone notices. By the time Slack lights up, you owe $18k.
One plane for every cluster.
Every dollar accounted for.
KubeHero runs a lightweight DaemonSet on every cluster and streams compressed telemetry to a control plane you host, or that we host for you. No invasive sidecars. No re-architecting. No vendor lock-in.
eBPF-accurate telemetry.
Kernel-level pod attribution. Not the 30s-averaged guesswork you get from metrics-server. Per-pod CPU, memory pressure, syscalls, I/O — second-granularity.
Unified cloud pricing.
Live EC2 + Savings Plans + Spot for EKS, committed-use for GKE, Spot VMs and Reserved Instances for AKS — one mental model, one cost-per-second number per pod.
GPU- and TPU-native.
DCGM-integrated GPU telemetry, tensor core utilization, per-process VRAM, MIG slice efficiency. TPU utilization via GCP SDK. Idle A100? Flagged in 60 seconds.
Policy engine + spend ceiling.
Budget CRDs. Automated rightsizing recommendations. A circuit-breaker that evicts runaway pods, caps HPA, or quarantines node pools before a bad deploy melts the card.
One pane of glass.
AKS, GKE, EKS — side by side.
The dashboard is built for operators, not dashboards-as-art. Spend rolls up from pod to cluster to fleet. Drill down until you see the exact workload wasting the money, then ship the fix — or arm the spend ceiling.
| Cluster | Cloud | Region | Nodes | GPU | Cost / day | Recoverable | State |
|---|---|---|---|---|---|---|---|
aks-westeu-prod-01 | AKS | westeurope | 142 | 8× A100 | $4,820 | $1,920 | overcommit |
aks-ne-staging | AKS | northeurope | 24 | — | $480 | $110 | healthy |
gke-usc1-prod | GKE | us-central1 | 88 | — | $2,140 | $380 | healthy |
gke-euw4-batch | GKE | europe-west4 | 62 | 16× L4 | $1,680 | $540 | overcommit |
eks-use1-prod | EKS | us-east-1 | 210 | 32× H100 | $12,940 | $5,180 | overrun |
eks-usw2-dev | EKS | us-west-2 | 38 | — | $620 | $180 | healthy |
Watch it work — end to end.
Connect a cloud account, stream telemetry, evaluate policies, act — all in under five minutes on a real cluster. Pause any step to read.
Connect any cluster in under five minutes.
Helm install the agent, paste an OIDC role ARN, and KubeHero discovers every AWS account, Azure subscription, and GCP project in scope.
Live telemetry, not yesterday's PDF.
Panels update every second from a real ClickHouse feed. Hover the burn-rate chart to scrub back through the window.
Follow the money, from namespace to invoice.
Ribbon thickness is $/mo. Hover a node or a flow — everything else dims so you can see exactly which team's workload is running on which cloud, and what it costs.
Three things legacy FinOps tools can't do.
Sub-minute telemetry, retroactive Savings Plan re-attribution, and an enforcement layer with humanArm: true. Flexera, Cloudability, and their peers are structurally incapable of any of these.
Live burn rate
Savings Plan replay
Ceiling policies
Declare what you refuse to spend.
KubeHero enforces it.
Most cost tools report yesterday's damage. KubeHero lets you define a hard ceiling as a Kubernetes CRD and acts in real time when a bad deploy, a runaway cron, or a forgotten dev namespace starts overrun budget.
apiVersion: kubehero.io/v1 kind: BudgetPolicy spec: ceiling: $8400/hr hardStop: true humanArm: true escalation: [hpa, evict, quarantine, page]
Free until it pays for itself.
Three ways to run KubeHero. Start free, move to Cloud when you want the hosted brain, self-host with a commercial license when compliance demands it. No seat taxes. No surprise bills.
- eBPF agent (DaemonSet)
- Basic dashboard & CLI
- 3 clusters · 7-day retention
- Community Discord
- GitHub issues
- Everything in Free
- Managed control plane
- Unlimited clusters · 90-day retention
- Slack / PagerDuty / OpsGenie integrations
- Budget CRDs + spend ceiling
- Email support · 24h SLA
- Everything in Cloud
- SSO (SAML, OIDC) + SCIM
- Multi-tenant RBAC
- Unlimited retention
- On-prem / air-gapped deploy
- Dedicated solutions engineer
- 99.95% SLA
Onboarding design partners now.
We work directly with a small group of operators running real AKS, GKE, or EKS footprints — especially teams managing a GPU fleet. Design partners get hands-on setup, monthly roadmap input, and first-year pricing locked in.