Kubernetes Resource Calculator
Calculate CPU and memory requests and limits for your Kubernetes workloads. Plan node capacity, estimate costs, and generate resource specifications.
⚙️ Configuration
📊 Results
Total CPU Requests
0.3 cores
Total CPU Limits
0.6 cores
Total Memory Requests
384 Mi
Total Memory Limits
768 Mi
Resource Utilization
CPU Usage
30%
Memory Usage
24%
🏗️ Node Capacity Planning
Nodes Required
1
CPU Utilization
15%
Memory Utilization
2.3%
Monthly Cost
$72
📝 YAML Resource Specification
❓ Frequently Asked Questions
What’s the difference between CPU requests and limits?
CPU requests guarantee a minimum amount of CPU that the container will have available. CPU limits set the maximum CPU the container can use. If no limit is set, the container can use all available CPU on the node.
How do QoS classes affect pod scheduling?
Guaranteed QoS pods have both requests and limits set and equal. Burstable pods have requests lower than limits. BestEffort pods have no requests or limits. During resource pressure, Kubernetes evicts pods in order: BestEffort, then Burstable, then Guaranteed.
What happens when a pod exceeds its memory limit?
When a container exceeds its memory limit, Kubernetes will terminate it with an OOMKilled (Out of Memory Killed) status. The pod will be restarted according to its restart policy. This is different from CPU, which is throttled when limits are exceeded.
How should I size resources for production workloads?
Start with resource requests based on observed usage patterns. Set limits 20-50% higher than requests for CPU-bound workloads, and closer to requests for memory-bound workloads. Use monitoring tools like Prometheus to track actual resource usage and adjust accordingly.
What’s resource overhead and why does it matter?
Resource overhead accounts for system processes, kubelet, kube-proxy, and container runtime that consume node resources. Typically 10-20% of node capacity should be reserved for system components to ensure stable operation and prevent resource starvation.
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