Here is a production-grade reference architecture for web applications that must handle heavy, unpredictable traffic spikes.
Architecture Breakdown
1. Edge Layer
- Route 53: DNS management with health checks and latency routing.
- CloudFront: Global CDN for static asset caching and dynamic origin acceleration.
- AWS WAF: Protects against SQLi, XSS, rate limits, and bot traffic.
2. Application Layer
- Application Load Balancer (ALB): Spans multiple Availability Zones with SSL termination.
- App Servers: Auto Scaling Group on EC2 or ECS/Fargate in private subnets.
- Auto Scaling Policies: Scale based on request count, CPU utilization, or target tracking.
3. Data & Caching Layer
- Amazon Aurora / RDS: Multi-AZ deployment with Read Replicas for heavy read operations.
- ElastiCache (Redis): Session store, application cache, and job queue backend.
- Amazon S3: Direct client uploads and static asset storage.
4. Asynchronous Processing Layer
- Amazon SQS / Redis Queues: Dedicated queue workers running in background auto-scaling groups for processing emails, reports, and media.
Framework-Specific Gotchas
Laravel: Never use local disk for sessions or file uploads. Run the queue worker and scheduled cron (`schedule:run`) on dedicated nodes. Cache route and configuration files during build time.
Node.js: Keep the application stateless. Use multi-process cluster mode or multiple container replicas. Handle `SIGTERM` signals for connection draining, and carefully size database connection pools.
What would you change in this setup?
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