- Scalable Architecture Built on containerized microservices, async messaging, and caching so each component can scale independently.
- Stateless services scale horizontally behind AWS Application Load Balancers.
- Kafka-backed queues absorb “flash-sale” traffic, while Redis caching avoids database hot spots.
- High Availability & Reliability
- Datastores run with replication, hourly snapshots, and disaster recovery (RTO/RPO of 120 minutes).
- Target uptime of 99.99%.
- Performance Under Load
- WAF and Cloudflare bot protection secure the perimeter against promo-related bot traffic.
- Modern Scaling Practices
- Rate-limiting, back-pressure, circuit breakers, and exponential backoff prevent overloads during sudden spikes.
- Operational Playbook for Peak Events
- Pre-scaling hot services and pre-warming caches.
- Partitioned messaging and tuned concurrency to maximize throughput.
- Real-time observability with APM and alerting (PagerDuty) for proactive autoscaling.
