Built for Platform Teams
Everything you need to understand, track, and optimise your Kubernetes costs.
Real-Time Cost Tracking
Track costs per namespace, workload, cluster, and node with configurable collection intervals. See exactly where your money is going as metrics flow in.
Automated Insights
Automatic detection of cost anomalies, oversized resources, and optimisation opportunities. Get actionable recommendations with estimated savings based on actual resource usage patterns.
Smart Label Optimisation
As metrics accumulate, automatic cardinality analysis identifies which labels actually matter for cost tracking. Pin important labels, ignore the noise.
Flexible Cost Allocation
Allocate costs by any label, namespace, or custom dimension. Configure CPU/memory ratios to match your workload patterns. Set custom pricing per cluster or provider.
Performance Correlation
See CPU throttling, memory pressure, and resource usage alongside costs. Understand if cost spikes are from growth or inefficiency.
Multi-Cluster Management
Single dashboard for all your clusters across AWS, GCP, Azure, and on-prem. Compare costs, track trends, and identify outliers.
How CostPilot Compares
Stop tracking every label
Not all labels matter for cost tracking. CostPilot automatically analyses label cardinality as metrics accumulate and identifies which labels actually provide useful cost insights.
Automatic Cardinality Analysis
As metrics accumulate, the system learns which labels have low cardinality (useful for grouping) vs. high cardinality (wasteful for storage).
Pin Important Labels
Pin labels like "team" or "environment" to always track them. The system automatically indexes pinned labels for fast queries.
Auto-Optimize Storage
High-cardinality labels like pod-template-hash are automatically excluded from cost tracking, saving storage and improving query performance.
Stop hunting for savings.
Let insights find you.
As metrics accumulate, automated analysis detects anomalies, identifies waste, and generates actionable recommendations with estimated savings.
Metrics Accumulate
As your agent collects metrics, usage patterns emerge. The system tracks CPU, memory, and storage consumption across all workloads.
Thresholds Trigger Analysis
When metrics cross thresholds (idle workload, oversized pod, cost spike), the system automatically generates an insight with severity classification.
Get Recommendations
Each insight includes a specific recommendation, estimated monthly savings, and impact assessment. Track resolution status in your dashboard.
Example Insights
From Zero to Full Cost Visibility
Deploy the agent, let metrics flow, and get actionable insights—all configured from your dashboard.
Deploy the Agent
Get your cluster ID and API key from the dashboard. The agent runs with minimal resources and collects metrics at intervals you configure.
Metrics Flow In
Agent scrapes metrics-server, batches efficiently, and ships to our ingestion pipeline. All collection settings controlled from your dashboard.
Costs Calculated
Allocator calculates costs using pricing models you configure per cluster. Supports on-demand, spot, reserved, and custom rates.
Automatic Analysis
As metrics accumulate, insights and label optimisation kick in
Configure Everything
All agent configuration happens in the dashboard. No YAML editing, no cluster access needed.
Track & Optimise
View costs by cluster, namespace, workload, or any label. Export data, set alerts, track optimisation progress.
Ready to see your costs clearly?
Start Free TrialBuilt for Your Challenges
These aren't hypotheticals—they're the problems platform teams solve every day with CostPilot.
Multi-Tenant Cost Attribution
Running a platform serving multiple teams or customers
Automatic cost breakdown by namespace, label, or custom dimensions
Accurate chargebacks without manual tracking or spreadsheets
Spot Instance Optimisation
Paying on-demand prices for workloads that could run on spot
Real-time tracking of node pricing types with optimisation recommendations
40-70% cost reduction on suitable workloads
Resource Right-Sizing
Over-provisioned pods wasting money, or under-provisioned causing throttling
Actual usage vs. requested resources with performance correlation
Eliminate waste while maintaining SLOs
Budget Management
No way to track team spending against allocated budgets
Label-based cost tracking with alert thresholds and trend analysis
Teams stay within budget, finance gets accurate forecasts
Simple, Transparent Pricing
No per-pod pricing, no surprise overage fees. Pay for what you need, scale as you grow.
Basic
For small teams getting started with cost visibility
- Up to 3 clusters
- Real-time cost tracking
- Basic label allocation
- 7-day data retention
- Email support
- Custom pricing models
- Advanced insights
- SSO
Professional
For growing platform teams needing advanced features
- Up to 20 clusters
- Real-time cost tracking
- Advanced label allocation
- 90-day data retention
- Priority support
- Custom pricing models
- Advanced insights & alerts
- SSO (SAML/OIDC)
Enterprise
For large organisations with complex requirements
- Unlimited clusters
- Real-time cost tracking
- Advanced label allocation
- Custom data retention
- Dedicated support + SLA
- Custom pricing models
- Advanced insights & alerts
- SSO + SCIM provisioning
- Self-hosted option
- Custom integrations
- → 14-day free trial, no credit card required
- → Real-time metrics processing
- → Multi-cluster support
- → API access
- → Unlimited users
- → Community Slack support
Have questions about pricing or features?
Contact our team →
Stop guessing.
Start measuring.
Join platform teams at leading companies who've gained complete visibility into their Kubernetes costs.
