Observer/cloud-deploy-guide.sh at main · SyncForMe/Observer · GitHub

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#!/bin/bash

echo "🚀 STEP 3: Deploy to Cloud Kubernetes for 10K Users"
echo "===================================================="

echo "📋 Prerequisites:"
echo "   1. Cloud provider account (AWS/GCP/Azure)"
echo "   2. Kubernetes cluster with 43+ nodes"
echo "   3. 171+ CPU cores, 315+ GB RAM"
echo "   4. Load balancer and CDN"
echo ""

echo "💻 To deploy to cloud:"
echo ""
echo "# 1. Create Kubernetes cluster"
echo "kubectl apply -f k8s/namespace.yaml"
echo "kubectl apply -f k8s/secrets.yaml"
echo "kubectl apply -f k8s/mongodb-deployment.yaml"
echo "kubectl apply -f k8s/redis-deployment.yaml"
echo "kubectl apply -f k8s/backend-deployment.yaml"
echo "kubectl apply -f k8s/frontend-deployment.yaml"
echo "kubectl apply -f k8s/ingress.yaml"
echo ""

echo "# 2. Enable auto-scaling"
echo "kubectl autoscale deployment backend --cpu-percent=70 --min=3 --max=200"
echo ""

echo "📊 Expected Results:"
echo "   • 200 backend pods (auto-scaling)"
echo "   • 100 frontend pods"
echo "   • 5 MongoDB pods (replica set)"
echo "   • 2 Redis pods (cluster)"
echo ""

echo "💰 Expected Costs:"
echo "   • AWS/GCP: ~$7,000/month"
echo "   • Handles 10,000+ concurrent users"
echo "   • Auto-scales up/down based on demand"
echo ""

echo "🎯 Performance:"
echo "   • 1,667 requests/second"
echo "   • <100ms response times"
echo "   • 99.9% uptime SLA"

echo ""
echo "📞 Need help with cloud deployment?"
echo "   Contact your cloud provider for Kubernetes setup"
echo "   Or use managed services like GKE, EKS, AKS"