apiVersion: apps/v1 kind: Deployment metadata: name: api-service spec: containers: - name: app resources: requests: memory: "256Mi" cpu: "250m" limits: memory: "512Mi" cpu: "500m"

SankalpRaiGambhir

DevOps

January 30, 2024

4 min read

Kubernetes Resource Limits

Configure proper resource requests and limits to prevent resource starvation in production clusters

KubernetesDockerResource Management

The Problem

Without proper resource configuration, pods can consume unlimited CPU and memory, leading to node exhaustion, OOM kills, and application instability in production.

The Solution

Set appropriate resource requests and limits to guarantee minimum resources while preventing runaway consumption. Requests ensure scheduling, limits prevent abuse.

Kubernetes Resource Configuration

yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: api-service
spec:
  containers:
  - name: app
    resources:
      requests:
        memory: "256Mi"
        cpu: "250m"
      limits:
        memory: "512Mi"
        cpu: "500m"

Key Takeaways

Preventing resource starvation in production clusters
Requests guarantee minimum resources for scheduling
Limits prevent pods from consuming excessive resources
Set limits based on actual application metrics

Common Use Cases

Multi-tenant clusters

Production deployments

Cost optimization

Related Resources

Kubernetes Resource Management

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