docker build -f backend/Dockerfile -t chatbot-api:latest .docker build -f frontend/Dockerfile -t chatbot-frontend:latest .# Make sure .env file has OPENAI_API_KEY
docker-compose up -d
# View logs
docker-compose logs -f
# Stop
docker-compose down# Login to ECR
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin YOUR_ACCOUNT.dkr.ecr.us-east-1.amazonaws.com
# Tag and push backend
docker tag chatbot-api:latest YOUR_ACCOUNT.dkr.ecr.us-east-1.amazonaws.com/chatbot-api:latest
docker push YOUR_ACCOUNT.dkr.ecr.us-east-1.amazonaws.com/chatbot-api:latest
# Tag and push frontend
docker tag chatbot-frontend:latest YOUR_ACCOUNT.dkr.ecr.us-east-1.amazonaws.com/chatbot-frontend:latest
docker push YOUR_ACCOUNT.dkr.ecr.us-east-1.amazonaws.com/chatbot-frontend:latest# Backend
gcloud builds submit --tag gcr.io/YOUR_PROJECT/chatbot-api backend/
gcloud run deploy chatbot-api --image gcr.io/YOUR_PROJECT/chatbot-api --platform managed
# Frontend
gcloud builds submit --tag gcr.io/YOUR_PROJECT/chatbot-frontend frontend/
gcloud run deploy chatbot-frontend --image gcr.io/YOUR_PROJECT/chatbot-frontend --platform managed# Create container registry
az acr create --resource-group myResourceGroup --name chatbotregistry --sku Basic
# Build and push
az acr build --registry chatbotregistry --image chatbot-api:latest backend/
az acr build --registry chatbotregistry --image chatbot-frontend:latest frontend/
# Deploy
az container create --resource-group myResourceGroup --name chatbot-api \
--image chatbotregistry.azurecr.io/chatbot-api:latest --ports 5000OPENAI_API_KEY- Your OpenAI API key (required)
Update .env.production before building:
REACT_APP_API_URL=https://your-api-domain.com
-
Update CORS: In
backend/app.py, update allowed origins:allow_origins=["https://your-frontend-domain.com"]
-
Chroma DB Volume: Mount persistent volume for vector database:
-v /path/to/chroma_db:/app/chroma_db
-
HTTPS: Use reverse proxy (nginx, Cloudflare, load balancer) for SSL termination