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GitHub Actions: Deploy to Kubernetes (EKS, AKS, GKE Tutorial)
DevOps

GitHub Actions: Deploy to Kubernetes (EKS,

Deploy to Kubernetes from GitHub Actions. ArgoCD sync, Helm upgrades, Kustomize apply, and multi-cluster deployment patterns.

LB
Luca Berton
Β· 2 min read

This is the guide I use when setting up production Kubernetes clusters for enterprise clients. No theory-only content β€” every recommendation comes from real deployments.

Why This Matters

Getting this wrong in production is expensive. I have seen teams waste weeks debugging issues that proper configuration would have prevented.

Prerequisites

  • Kubernetes cluster (1.28+)
  • kubectl configured with cluster access
  • Basic understanding of Kubernetes resources

Step-by-Step Guide

Step 1: Understand the Fundamentals

Before diving into advanced patterns, make sure you have a solid grasp of the core concepts. The official Kubernetes documentation is comprehensive, but I find it lacks practical production context.

Step 2: Configure for Production

Production configuration differs significantly from development. Key areas to focus on:

  • Resource management β€” set requests and limits on every container
  • Security β€” RBAC, network policies, pod security standards
  • Observability β€” Prometheus metrics, structured logging, distributed tracing
  • Reliability β€” pod disruption budgets, topology spread constraints
# Example production-ready configuration
apiVersion: v1
kind: Namespace
metadata:
  name: production
  labels:
    env: production
    pod-security.kubernetes.io/enforce: restricted

Step 3: Test and Validate

Always test configuration changes in a staging environment first:

# Dry-run to validate
kubectl apply --dry-run=server -f manifests/

# Check for policy violations
kubectl get events --field-selector reason=FailedCreate

Step 4: Monitor and Iterate

Set up monitoring from day one. I use the kube-prometheus-stack for all deployments.

Common Mistakes to Avoid

  1. Not setting resource requests β€” leads to noisy neighbor problems
  2. Running as root β€” always use runAsNonRoot: true
  3. Missing network policies β€” everything can talk to everything by default
  4. No pod disruption budgets β€” voluntary disruptions kill your SLO

Production Checklist

Before deploying to production, verify:

  • Resource requests and limits on all containers
  • Network policies restricting traffic
  • RBAC with least-privilege service accounts
  • Pod security standards enforced at namespace level
  • Monitoring and alerting configured
  • Backup and disaster recovery tested

About the Author

I am Luca Berton, AI and Cloud Advisor with 8 published books on automation, Kubernetes, and AI. Book a consultation to discuss your github actions kubernetes strategy.

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