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| # System Design Challenge | |
| ## 📋 What to Expect | |
| **Duration:** 60 minutes | |
| **Format:** Collaborative system design discussion | |
| **Challenge:** Design a system to handle 1M+ transactions per day | |
| **💡 AI Assistance Welcome:** Feel free to use AI tools during our discussion. | |
| ## ⚡ The Challenge | |
| ### **The Problem** | |
| You're the lead architect for a high-volume transaction platform that's experiencing rapid growth. Currently handling ~100K transactions per day, the business is projecting 10x growth over the next year. The existing system is starting to show strain during peak hours, and you need to design a solution that can handle massive scale while maintaining reliability. | |
| ### **Current System Context** | |
| - **Current Volume**: ~100K transactions/day | |
| - **Target Volume**: 1M+ transactions/day | |
| - **Peak Traffic**: 10x average during flash sales and events | |
| - **User Base**: Global users across multiple time zones | |
| - **Business Criticality**: Revenue-generating transactions that cannot be lost | |
| ### **Technical Requirements** | |
| - **Scale**: Handle 1M+ transactions/day (100+ TPS peak, 10+ TPS average) | |
| - **Performance**: <200ms end-to-end response time (95th percentile) | |
| - **Availability**: 99.9% uptime (maximum 8.76 hours downtime per year) | |
| - **Security**: Robust data protection, access control, and audit capabilities | |
| - **Global**: Multi-region deployment with data residency compliance | |
| - **Reliability**: Zero data loss, transaction integrity, and idempotency | |
| ### **Key Questions to Consider** | |
| - How will you handle traffic spikes that are 10x normal volume? | |
| - What happens when individual components fail? | |
| - How do you ensure data consistency across distributed systems? | |
| - How will you monitor and debug issues in production? | |
| - What's your strategy for rolling out changes safely? | |
| - How do you handle different compliance requirements across regions? | |
| ## 🗂️ Session Structure | |
| ### **Phase 1: Requirements Clarification (10 minutes)** | |
| - Ask clarifying questions about the business context | |
| - Understand constraints, assumptions, and priorities | |
| - Clarify technical and non-technical requirements | |
| - Identify the most critical success factors | |
| ### **Phase 2: High-Level Architecture (20 minutes)** | |
| - Design the overall system architecture | |
| - Identify major components and their responsibilities | |
| - Define data flow and system boundaries | |
| - Explain technology choices and trade-offs | |
| ### **Phase 3: Detailed Design (20 minutes)** | |
| - Deep dive into critical system components | |
| - Address scalability, performance, and reliability concerns | |
| - Design for failure scenarios and edge cases | |
| - Consider security, monitoring, and operational aspects | |
| ### **Phase 4: Implementation & Operations (10 minutes)** | |
| - Discuss deployment and rollout strategy | |
| - Plan for monitoring, alerting, and debugging | |
| - Consider maintenance, scaling, and evolution | |
| - Address any remaining questions or concerns |
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