Best Practices

How to Distribute Load Effectively in Kubernetes Managing and distributing load in a Kubernetes cluster is key to ensuring system performance and reliability. Kubernetes offers several native features that help balance traffic and workload across nodes and pods. Why Load Distribution Matters Evenly distributed load improves: System responsiveness Resource utilization Cluster stability Cost-efficiency 1. Horizontal Pod Autoscaler (HPA) HPA automatically scales pods based on CPU/memory or custom metrics. kubectl autoscale deployment myapp --cpu-percent=50 --min=2 --max=10 Ensure metrics-server is installed for HPA to function. ...

Why Dockerfile Best Practices Matter Poorly written Dockerfiles lead to large, insecure, and hard-to-maintain container images. Following best practices ensures faster builds, smaller images, better security, and improved maintainability. 1. Use Official or Minimal Base Images Choose minimal or well-maintained base images like: FROM alpine:3.19 # or FROM python:3.11-slim 2. Pin Versions Explicitly Avoid surprises by pinning versions of dependencies and packages: RUN apt-get install -y curl=7.68.0-1ubuntu2.6 3. Combine RUN Commands Reduce layers by chaining commands: ...