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Kubernetes Resource Calculator
Calculate recommended CPU & memory requests and limits for your K8s workloads
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Workload Profile
Recommended Resources
| Tier | CPU Request | CPU Limit | Memory Request | Memory Limit |
|---|---|---|---|---|
| Standard | - | - | - | - |
| Economy | - | - | - | - |
| Performance | - | - | - | - |
Generated Deployment YAML (resources section)
Select options and values will appear here
Total CPU Req
-
Total Mem Req
-
Total CPU Limit
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Total Mem Limit
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What Is a Kubernetes Resource Calculator?
A Kubernetes resource calculator helps you determine optimal CPU and memory requests and limits for your containerized workloads. Setting appropriate resource requests and limits is critical in Kubernetes — requests determine the minimum resources guaranteed to a container and influence scheduling decisions, while limits prevent resource starvation by capping maximum usage. Getting these values wrong can lead to wasted cluster capacity, unnecessary costs, or application instability.
This calculator takes the guesswork out of resource planning by considering your workload type (web API, background worker, database, ML inference, etc.), expected load level, and performance tier (economy, standard, performance). It provides recommended values for CPU and memory requests and limits, generates ready-to-use YAML for your Deployment manifest, and calculates total resource consumption across all replicas. It's an indispensable tool for cluster capacity planning and resource optimization.
How to Use This Calculator
- Select workload type — Choose from Web API, Web Frontend, Background Worker, CronJob, Data Processing, ML Training, Database, or Sidecar/Proxy.
- Set expected load — Choose Low, Medium, or High based on your expected request rate or usage intensity.
- Choose a performance tier — Economy (lowest cost), Standard (balanced), or Performance (maximum speed).
- Set replica count — Enter how many pod replicas you expect to run.
- Review recommendations — The tool displays CPU and memory requests and limits for all tiers, total cluster resources, and a generated YAML snippet ready to copy into your Deployment spec.
Frequently Asked Questions
What is the difference between requests and limits?
Requests are the minimum resources guaranteed to a container; Kubernetes uses these for scheduling decisions. Limits cap the maximum resources a container can use — if a container exceeds its memory limit, it may be OOM-killed. CPU limits throttle excess usage.
How are the recommended values calculated?
The calculator uses baseline reference values for each workload type, then scales requests/limits based on the expected load and performance tier selection. These are starting recommendations — production workloads should be tuned based on monitoring data and actual usage patterns.
Should I always set both requests and limits?
Yes, best practice is to set both requests and limits for every container. Without requests, the scheduler may overcommit nodes. Without limits, a runaway container can consume all node resources and impact other workloads. The calculator provides both for all tiers.
How do I use the generated YAML?
Click "Copy YAML" to copy the generated resources section. Paste it under the spec.template.spec.containers[].resources field in your Deployment or Pod spec. The YAML includes both requests and limits for CPU and memory.
Is my data sent to a server?
No. All calculations are performed locally in your browser. Your workload parameters never leave your device.
Last updated: 9 Jul 2026
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