Kubernetes Best Practices for Production Environments

Kubernetes has won the container orchestration wars. However, running a cluster locally for development is vastly different from maintaining container environments in production under real user traffic.

Setting CPU and Memory Limits

Always define CPU and memory requests and limits for every single pod. Without these boundaries, a single resource-hungry container can consume the entire node's resources, crashing adjacent services.

resources:
  requests:
    memory: "64Mi"
    cpu: "250m"
  limits:
    memory: "128Mi"
    cpu: "500m"

Cluster Security isolation

Implement Network Policies to prevent unauthorized pods from accessing core database services, ensuring only the backend gate can query the data.