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Establishing a database connection is expensive. In production, you should use a connection pooler (like for Postgres). This keeps a pool of open connections ready, drastically reducing latency.
Running schema updates (like adding columns or changing data types) can lock database tables and cause outages. Always write . production-settings
# Dockerfile production stage FROM node:18-alpine AS production WORKDIR /app COPY package*.json ./ RUN npm ci --only=production && npm cache clean --force COPY . . USER node EXPOSE 8080 CMD ["node", "server.js"] # docker-compose.prod.yml version: '3.8' services: app: build: context: . target: production restart: always environment: - NODE_ENV=production networks: - webnet deploy: replicas: 3 resources: limits: memory: 512M logging: driver: "json-file" options: max-size: "10m" Establishing a database connection is expensive