Building a Production-Grade Multi-Tier App on AWS ECS Fargate

Production-Grade Multi-Tier Application on AWS ECS Fargate

A full deployment of a two-service architecture achieved zero downtime with rolling updates and private backend communication. The system used AWS ECS Fargate, internal ALBs, and VPC endpoints to isolate services while maintaining <15ms latency between frontend and backend.

Why This Matters

Real-world cloud systems face trade-offs between idealized models and operational constraints. This case study highlights how misconfigurations—like hardcoded IPs or missing VPC endpoints—can break private service communication. The deployment required resolving ECR pull timeouts, ALB health checks, and IAM permissions, demonstrating the complexity of aligning security, performance, and scalability in production environments.

Key Insights

• “Zero-downtime rolling deployments with 100% health checks (2025 case study)”
• “Internal ALB for backend communication ensures zero public exposure”
• “VPC endpoints for ECR/S3/Logs prevent private subnet timeouts”

Working Example

# Frontend Dockerfile (Nginx multi-stage build)
FROM nginx:alpine as builder
COPY build /usr/share/nginx/html
FROM nginx:alpine
COPY --from=builder /usr/share/nginx/html /usr/share/nginx/html
EXPOSE 80

# Backend Dockerfile (Node.js)
FROM node:18
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 5001
CMD ["node", "server.js"]

Practical Applications

• Use Case: E-commerce microservices with private backend communication
• Pitfall: Hardcoding IPs instead of using ALB DNS, leading to service discovery failures

References:

• https://dev.to/adil_khan_dc8aaf5632c369b/how-i-built-a-production-grade-multi-tier-application-on-aws-ecs-fargate-a-complete-case-study-12on
• https://github.com/adil-khan-723/node-app-jenkins1.git

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