Kubernetes Resource Calculator

The Kubernetes Resource Calculator helps you determine optimal CPU and memory resource requests and limits for your Kubernetes pods and containers. This tool assists in capacity planning and resource allocation to ensure efficient cluster utilization.

Built with Kubernetes best practices in mind, this calculator helps prevent resource contention, ensures fair scheduling, and optimizes your cluster's performance with proper resource configurations.

Proper resource allocation is critical for Kubernetes deployments. This tool eliminates guesswork by helping you calculate appropriate CPU and memory values based on your workload requirements, preventing both over-provisioning and resource starvation.

Perfect for DevOps engineers, platform engineers, and Kubernetes administrators who need to optimize cluster resources, plan capacity, and ensure application reliability through proper resource management.

Capacity Planning: Calculate total resource requirements for deployments and estimate how many pods can fit on your cluster nodes.

Resource Optimization: Determine optimal request and limit values to maximize cluster utilization while maintaining application performance.

Cost Estimation: Project infrastructure costs based on resource requirements and identify opportunities for cost savings through right-sizing.

Migration Planning: Calculate resources needed when migrating applications to Kubernetes from other platforms.

Input your application's resource requirements including CPU (in cores or millicores) and memory (in various units like Mi, Gi). Configure the number of replicas and set requests and limits according to your workload patterns.

The calculator provides instant results showing total resource consumption, helps you understand the impact of different configurations, and offers guidance on best practices for resource allocation in Kubernetes environments.

Q: What's the difference between requests and limits? A: Requests guarantee minimum resources for scheduling and QoS. Limits cap maximum resource usage. Set requests based on typical usage, limits 1.5-2x higher for bursts. Requests affect scheduling, limits prevent resource hogging.

Q: How do I choose values for CPU and memory? A: Start with monitoring actual usage. Set requests at 50-75% of average usage, limits at peak usage plus 20% buffer. Use Vertical Pod Autoscaler recommendations. Test under load to validate.

Q: What happens if I don't set limits? A: Without limits, pods can consume all node resources, starving other pods. Without requests, scheduling is unpredictable and QoS is BestEffort (first to be evicted). Always set both for production workloads.

Q: How many replicas can fit on my nodes? A: Divide node allocatable resources by pod requests. Account for system pods and DaemonSets. Use the calculator to model different scenarios and plan capacity accordingly.

Q: Should limits equal requests? A: For Guaranteed QoS (highest priority), yes. For Burstable QoS (common), limits should be higher than requests. For CPU-intensive apps, consider equal values to prevent throttling. For memory, equal values prevent OOM kills.

Q: How do I calculate for multi-container pods? A: Sum requests and limits across all containers in the pod. Kubernetes schedules based on total pod requirements. Init containers don't add to the total - they run sequentially.