Cost Monitoring
Cost visibility across clusters
Learn more
Enterprise FinOps for Kubernetes
We find the money your cluster is burning.
Kubernetes Intelligence Platform for every kind of cluster across AWS, GCP, Azure, OpenShift, and on-prem. 5-minute install.
- 5-minute install
- Read-only RBAC
- Stays in your VPC
We see cost at every level
Live · 2,184 pods across 48 clusters
Cluster
$34.8K
prod-eu-1
48 nodes
Namespace
$4.8K
data-platform
142 pods
Workload
$2.1K
analytics-worker
12 pods
Pod
$180
analytics-worker-78f9
4 cores
Container
$43
worker
cpu 4× over
Runs anywhere
- AWS
- Google Cloud
- Azure
- OpenShift
- On-prem
Trusted by engineering teams at
How it works
From helm install to first savings in 5minutes.
Step 01
Connect
Install the agent with one Helm command. The agent connects to your cluster and starts streaming cost data in minutes.
$ helm install kubeadapt kubeadapt/agent
Step 02
Detect
From the moment the agent is up, costs stream live. Every pod, every namespace, every node — mapped to teams and tagged for waste.
Step 03
Save
Apply with one click. Each recommendation comes with confidence score, savings, and CO₂ impact. Apply, dismiss, or schedule.
One platform · Every cost dimension
See cost at every layer of your cluster.
Click into a workload, a pod, a node, a node group, or a namespace. Each is a fully-featured page with cost trends, utilization charts, hourly patterns, recommendations, and reversible actions.
Now viewing · Workload
Every workload, rightsized.
Drill into any Deployment, StatefulSet, DaemonSet, or Job to see how much it costs, how efficiently it uses requests, and which containers are wasteful. HPA-aware, container-aware, reversible.
Cost trend & breakdown
Run-rate over time with CPU/RAM/GPU stacked daily.
CPU + memory vs requests
Usage curve with requested dashed reference and per-pod toggle.
Hourly utilization heatmap
Peak-hour patterns to inform HPA min/max.
app.kubeadapt.io / clusters / prod-eu-1 / workloads / analytics-worker
Liveanalytics-worker
Deployment in namespace data-platform on cluster prod-eu-1
Deploymentns:data-platformActiveHPA
Monthly Cost
$2,140
↑ 4.2% vs prior 30d
Pods
12 / 12
all available
CPU Efficiency
28%
4× over-provisioned
Memory Efficiency
41%
2× over-provisioned
OverviewContainersPodsNode AnalyticsDetails
Cost
Run rate over time · workload-only
TrendBreakdownLast 30d
30d total$2,140
CPU Usage
vCPU · avg
TotalPer-Pod
UsageRequested
Memory Usage
GB · avg
TotalPer-Pod
UsageRequested
Hourly Usage Patterns
Average utilization by hour of day
CPU (left)Memory (right)
peak 12:00–14:00 UTCHPA Status
Horizontal Pod Autoscaler
StatusEnabled
Min Replicas8
Max Replicas32
Current Replicas12
Target CPU70%
Deployment
Rollout configuration
StrategyRollingUpdate
Max Surge25%
Max Unavailable25%
Container Imagev2.4.1
Cost Explorer
Slice cost anyway you need.
Pivot on any dimension — namespace, label, team, region, instance type, workload, deployment. Filter, group, save dashboards, and export to your BI tool. Built for FinOps teams who treat Kubernetes as a real cost center.
- Filter by anythingLabel, annotation, taint, workload kind, instance type, AZ — all queryable.
- Group + pivotStack groupings (team → service → pod) to find exactly where money goes.
- Saved dashboardsPin your favorite views. Share them with finance, leadership, and platform teams.
- Export to CSV / BIPipe data into Looker, Tableau, Snowflake, or your warehouse of choice.
app.kubeadapt.io / cost-explorer?group=namespace&range=30d
LIVECost Explorer
Interactive drill-down into Kubernetes cost by dimension, time, and tag.
Group: namespaceRange: 30dCluster: prod-eu-1
14 rows · 7 shown| Namespace | Cost (30d) | Share | Δ | Pods |
|---|---|---|---|---|
| data-platform | $8,420 | 24.2% | +12.4% | 142 |
| ml-prod | $6,280 | 18.0% | -3.1% | 96 |
| web | $4,150 | 11.9% | +1.8% | 64 |
| observability | $3,290 | 9.4% | +28.6% | 48 |
| media | $2,480 | 7.1% | -8.2% | 31 |
| auth | $1,620 | 4.6% | +0.6% | 18 |
| payments | $1,220 | 3.5% | +4.2% | 12 |
7 of 14 rows
Smart Alerting · Anomaly + threshold
Findthespikebeforefinancedoes.
Statistical baselines on every workload. Budget burn-rate on every team. Forecasted spend on every namespace. When the curve breaks, the right owner hears about it — in their channel, with the context to act.
- Anomaly detectionStatistical baseline per workload, per namespace, per cluster. We trigger before the bill, not after.
- Threshold + budgetHard ceilings, monthly burn-rate, and forecasted-spend rules — composable conditions, not just "cost > X".
- Routing policiesTeam owners receive their team's alerts. Severity routes to the right channel. No more org-wide ping storms.
Median time-to-detection · 4m 12sHourly evaluation
Cost trend · ml-prod · last 22h
Anomaly detected at 12:48 UTC
Baseline
$24 /hr
Observed
$92 /hr
Excess (12h)
+$0
Live alerts3 of 14
- Cost spike · ml-prodactiveprod-eu-1 · namespace ml-prod+$1,840 · +312% vs 14d baseline2m ago
- Budget burn · data-platformackedprod-eu-1 · team data-platform78% of $12K monthly budget · day 1418m ago
- Forecast · checkout-apiresolvedprod-us-east · workload checkout-apiProjected +$420 over MTD trend1h ago
Routingauto
- P1Slack#finops-alerts
- P2Emailfinops@kubeadapt.io
- P3Webhookjira.example.com/hook
Last 24h delivered14 / 14
SecureOps · the other half of FinOps
Costandsecurity,together.
The same agent that maps every dollar also walks every attack path, scans every image, and audits every RBAC binding. Four pillars, one read-only daemon, zero new sidecars.
Attack Paths
Graph reachability from pod to crown-jewel — public ingress, hostPath, privileged escalation surfaced as a single path the agent walks.
Compliance
CIS Kubernetes Benchmark and PCI controls evaluated per cluster every hour. Drift the moment it lands.
Image Security
Every running image scanned against NVD + GitHub Advisories. Fixable CVEs are linked to the workload, not the registry tab.
RBAC Analyzer
Over-permissive ServiceAccounts, wildcard verbs, cluster-admin shadow grants — flagged with the least-privilege diff to apply.
Cluster posture
Fleet at a glance
0CIS score
prod-eu-1
92%
prod-us-east-1
87%
staging-eu
74%
dev-shared
58%
Attack path · sample1 critical
Image CVEs · in use0 total
- Critical3
- High12
- Medium42
- Low88
42 controlsremediated this monthRead-only · no policy enforcement
CIS · PCI · HIPAA benchmarksHourly evaluationDrift alerts to Slack / Webhook
Capabilities · 9 pillars
Everything Kubernetes FinOps needs.
Cost, capacity, GreenOps, and shift-left — covered in one platform.
Nine pillars, one agent, zero raw metrics leaving your VPC.
Cost Attribution
Map spend to teams & departments
Learn moreWorkload Rightsizing
Optimize CPU & memory requests
Learn moreRecommendations
Smart recommendations with proof
Learn moreSmart Alerting
Cost anomaly detection & alerts
Learn more- Soon
Network Intelligence
Trace every byte, price every zone
- Soon
SecureOps
Configuration audit & scoring
- Soon
GPU & LLM Optimization
GPU & LLM cost monitoring
GreenOps
Carbon footprint visibility
Learn more- Soon
Shift-Left Cost Prevention
Pre-deploy cost gates for CI/CD
Live agent · install in 5 minutes
Stop paying for unused capacity.
Connect your first cluster in 5 minutes. The first 100 vCPU is on us, forever. Above it, the rate tiers from $1.99 down to $0.60 — same features, every plan.
Self-hosted agentFirst 100 vCPU freeNo credit card