Multi-cloud e-commerce platform: 14 components including WAF, Load Balancer, Order Service, Kafka event bus, AI Fraud Detector (GPT-4o Mini), Input Sanitizer, Confidence Router, DLQ, and full observability.
Start live traffic. Watch 20 req/sec flow from API trigger through WAF and Load Balancer, hit Order Service (~120ms), write to Spanner, fan out via Kafka to Fraud Detector, Notifications, and DLQ.
Black Friday scenario: traffic spikes 10x to 200 req/sec. WAF throttles requests, Order Service auto-scales, Kafka backlog grows. The Fraud Detector falls behind. Watch latency climb and error rates spike.
Experiment: increase payload to 25KB (simulates large orders), enable Redis cache (reduces DB load), add 3 replicas (horizontal scaling). Each change affects metrics instantly.
AI evaluates your architecture across 6 dimensions: Architecture (layering), Scalability (auto-scaling), Resilience (failure handling), Security (WAF + auth), Governance (audit trail), Cost Efficiency.
Automated compliance check: SOC2 (access control via Cloud Armor, audit logging), HIPAA (encryption in-transit, access controls), CMMC (WAF baseline, monitoring). Shows pass/fail per control with evidence.
Auto-generates production Terraform for all 14 components: WAF rules, ALB config, Cloud Run service, Spanner instance, Kafka cluster, Cloud Functions, Redis, Grafana dashboards. One click to deploy.