Production-Grade Implementations for Modern Data Workloads
| Architecture | Key Achievement | Tech Stack | Interactive Demo |
|---|---|---|---|
| Kubernetes Cluster | 99.95% uptime for 50+ microservices | EKS, Helm, Prometheus | Demo |
| Amazon RDS HA | 15ms query latency with 10K TPS | RDS PostgreSQL, Read Replicas | Demo |
AWS Well-Architected Compliance:
All systems implement:
- Cost Optimization: Auto-scaling groups reduce EC2 costs by 40% during off-peak
- Performance Efficiency: 3-tier caching architecture (Redis + ElastiCache)
- Sustainability: Spot Instance integration for batch processing workloads
Interview Gold:
❓ "How do you handle database schema migrations in RDS?"
✅ Proven Method: Zero-Downtime Migration Script using AWS DMS and Schema Conversion Tool.
| Công nghệ | Lý do chọn | Alternative Đã xem xét |
|---|---|---|
| Amazon EKS | Native AWS integration for RBAC | Self-managed k8s (rejected: ops overhead) |
| RDS Read Replicas | Cross-region disaster recovery | Aurora Serverless (rejected: cost predictability) |
| Prometheus | Real-time container health monitoring | CloudWatch Container Insights (rejected: granular metrics control) |
Q: Biggest challenge in Kubernetes implementation?
A: Achieving consistent 500ms cold start time for serverless containers required custom KEDA autoscaling configuration.
Q: How to secure RDS instances effectively?
A: Implemented IAM Database Authentication + automated security group rotation every 6 hours (Security Protocol).
Q: Cost monitoring strategy for EKS?
A: Integrated Kubecost with AWS Budgets for real-time namespace-level spend tracking (Cost Dashboard).
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