Free Developer Tool
Kubernetes Resource Calculator
Right-size your K8s workloads with optimal resource requests, limits, and HPA configuration. Compare EKS Fargate vs EC2 costs with live AWS pricing data. Generate production-ready YAML manifests. 100% Browser-Based
Workload Presets
Compute Mode
Resource Configuration
EC2 Node Group
Avg Replicas
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Total CPU
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requests x avg replicas
Total Memory
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requests x avg replicas
Est. Monthly Cost
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Cost Breakdown
| Line Item | Qty | Unit Price | Monthly |
|---|
Generated YAML Manifests
Kubernetes Resource Fundamentals
Resource Requests vs Limits
Requests are what your container is guaranteed. The scheduler uses them to place pods on nodes. Limits are the maximum your container can use before being throttled (CPU) or killed (memory). Set requests based on steady-state usage and limits based on peak spikes.
Quality of Service Classes
Kubernetes assigns QoS classes based on resource settings. Guaranteed (requests = limits) pods are never evicted first. Burstable pods (requests < limits) can use extra resources when available. BestEffort pods (no resources set) are evicted first under memory pressure.
Horizontal Pod Autoscaling
HPA adjusts replica count based on CPU utilization (or custom metrics). A 70% CPU target is typical for web workloads. Setting it too low wastes resources; too high risks latency spikes during scale-up. HPA requires resource requests to be set on containers.
Right-Sizing Strategy
Start with conservative requests, monitor actual usage with metrics-server or Prometheus, and adjust iteratively. Over-provisioning wastes money; under-provisioning causes OOMKills and throttling. The Vertical Pod Autoscaler (VPA) can recommend values based on observed usage.
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