Kubernetes Resource Calculator

Optimize Resource Quotas, Limits & Cloud Costs

Anish Nath
Quick Start Presets
Configuration
Workload Details
Limit = Request × 1.5
Node Capacity Planning
How many pods fit per node?
Pods per Node: -
0%
Node utilization based on your pod resources
Utilization Simulator
Simulate average CPU usage: 50%
Simulate average Memory usage: 60%
Right-Sizing Recommendations
Aim for 70% average CPU utilization
Aim for 80% average Memory utilization
Enter observed peak CPU usage (e.g., from Prometheus)
Enter observed peak Memory usage in MiB
Namespace Info
Compute Resources
Object Limits
LimitRange Info
Container Defaults
Min/Max Constraints
CPU Request/Limit
-
Memory Request/Limit
-
QoS Class -
-
Monthly Cost
$0
-
Recommendation: Configure your workload to see recommendations.

                                
Frequently Asked Questions

Requests are the guaranteed resources a pod gets. The scheduler uses this for placement.
Limits are the maximum resources a pod can use. If exceeded, the pod may be throttled (CPU) or OOMKilled (memory).

ResourceQuota sets limits on the total resources (CPU, memory, pods, etc.) that can be consumed in a namespace. It prevents resource hoarding.

Cost estimates are based on standard on-demand pricing for general-purpose instances. Actual costs vary based on region, instance type, reserved capacity, and spot instances.

Kubernetes Resources FAQs

Requests vs limits?
Requests guarantee scheduling; limits cap maximum usage. Start with requests≈typical load and add modest headroom.
Language presets guidance
Use presets per runtime, then profile under realistic load. Tune CPU for latency and memory for GC or heap growth.
Avoiding OOMKilled
Set memory limits above peak, monitor RSS, and avoid extreme overcommit for critical workloads.

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