Over the past few weeks, I’ve been working on a cloud infrastructure project that I’m very proud to share. This project centers around designing and deploying a highly available, secure, and scalable multi-tier architecture on Amazon Web Services (AWS). It's a great example of how we can apply core cloud and security best practices in a real-world scenario.
Let me walk you through the architecture and the thought process behind it.
Objective
To build a 3-tier web application infrastructure on AWS that emphasizes:
- High Availability
- Scalability
- Security
- Observability
This design is tailored for production-level applications with strict requirements for uptime, monitoring, and protection from external threats.
High-Level Overview
The architecture is built within a VPC (10.0.0.0/16), split across two Availability Zones (AZ-A and AZ-B) for redundancy. It follows the standard 3-tier model:
- Web Tier
- Application Tier
- Integration Tier (Background Services / Async Processing)
Each tier is isolated within its own subnet and protected using security groups and routing policies.
Key AWS Services Used
- EC2 – For compute resources
- ALB (Application Load Balancer) – To distribute traffic between internal services
- ELB (External Load Balancer) – To handle incoming requests
- Auto Scaling – To ensure each tier can scale based on demand
- S3 – For static content and logs
- RDS – For managed relational database service
- EFS – For shared storage across AZs
- IAM – To manage fine-grained access controls
- CloudWatch – For monitoring and logging
- Route 53 – For DNS resolution
- VPC Flow Logs – For traffic visibility and security analysis
- CloudFront – For CDN distribution (static assets and caching)
Detailed Architecture Breakdown
1. Web Tier (Frontend)
- Deployed across two public subnets.
- EC2 instances serve the frontend (Apache/NGINX or Node.js apps).
- Protected by an External ALB that routes traffic using HTTPS (SSL termination).
- Auto Scaling Groups handle traffic spikes and maintain instance health.
- Integrated with CloudFront to serve cached content quickly.
2. Application Tier
- Deployed in private subnets for better security.
- Hosts core business logic on EC2, registered under an Internal ALB.
- Communicates with both the web and integration tiers.
- IAM roles restrict access to specific AWS services (e.g., S3, RDS).
3. Integration Tier
- Handles background tasks and async processes (e.g., job queues, processing pipelines).
- Also deployed in private subnets.
- This layer is decoupled and communicates directly with the Application Tier and services like RDS or S3.
- All logs and outputs are pushed to S3 and CloudWatch.
Security Best Practices
- Layered Security: Subnets and security groups segment each layer.
- Least Privilege: IAM roles and policies are tightly scoped.
- No Public Access to App/Integration Tiers: Only the Web Tier is exposed via the External Load Balancer.
- VPC Flow Logs track traffic patterns and are fed into SIEM tools for analysis.
- Data Encryption: At rest (S3, RDS, EFS) and in transit (HTTPS).
Resilience & Observability
- Health checks and auto-scaling across AZs provide fault tolerance.
- CloudWatch metrics, alarms, and dashboards offer real-time observability.
- Application logs and metrics are centralized in CloudWatch and S3 for auditing and debugging.
What’s Next?
- Integrating AWS WAF and Shield for advanced threat protection.
- Enabling DynamoDB and Lambda-based background workers in the integration tier.
- Automating the entire infrastructure using Terraform and CI/CD pipelines for streamlined deployment.
Final Thoughts
This project pushed me deeper into cloud security, automation, and architecture design. It solidified my understanding of multi-tier deployments and sharpened my focus on resilience and compliance in production systems.
If you're building a cloud-native app or looking to secure a modern SaaS workload on AWS, this kind of architecture offers a robust foundation.
Feel free to connect if you'd like to collaborate or brainstorm ideas — I'm always open to meaningful conversations around Cloud Security, DevSecOps, and AI-driven Infrastructure.