Essential Kubernetes Configuration Patterns

Resource Management and Limits

Proper resource configuration is crucial for cluster stability. At rjxmz, we enforce memory and CPU limits across all namespaces to prevent resource starvation. Consider this deployment example:

apiVersion: apps/v1
kind: Deployment
spec:
  template:
    spec:
      containers:
      - name: api-service
        resources:
          requests:
            memory: "64Mi"
            cpu: "250m"
          limits:
            memory: "128Mi"
            cpu: "500m"

According to the official Kubernetes documentation, setting appropriate requests and limits ensures fair scheduling and prevents individual pods from consuming excessive resources.

Security Context Configuration

Security should never be an afterthought in Kubernetes configurations. We implement Pod Security Standards at the namespace level and enforce security contexts:

securityContext:
  runAsNonRoot: true
  runAsUser: 1000
  allowPrivilegeEscalation: false
  capabilities:
    drop:
    - ALL

The Google Kubernetes Engine security overview provides excellent guidance on implementing defense-in-depth strategies for your clusters.

Probes and Health Checks

Properly configured liveness and readiness probes are vital for application reliability. Our team at rjxmz has found that aggressive liveness probes combined with conservative readiness probes deliver the best results:

livenessProbe:
  httpGet:
    path: /health
    port: 8080
  initialDelaySeconds: 30
  periodSeconds: 10

readinessProbe:
  httpGet:
    path: /ready
    port: 8080
  initialDelaySeconds: 5
  periodSeconds: 5

Configuration Management Best Practices

Managing Kubernetes configurations effectively requires proper organization and tooling. We recommend:

  • Using Kustomize for environment-specific overlays
  • Implementing GitOps workflows with ArgoCD or Flux
  • Regularly auditing configurations with tools like kubeaudit
  • Versioning all configuration changes alongside application code

These practices have helped rjxmz maintain consistency across development, staging, and production environments while reducing configuration drift.