Scalability and Future Extension Questions
Design systems that scale: handle 10 items, 1000 items, 10,000 items efficiently. Design for future feature additions without major refactoring. Use abstraction and interfaces to allow flexibility. Discuss how your solution would adapt if requirements changed. This shows you think beyond the immediate requirement.
MediumTechnical
0 practiced
Explain heuristics you would use to decompose a monolith into microservices so future features can be delivered as separate services with minimal refactor. Provide a concrete migration plan showing how you would extract one domain (e.g., payments or search) using the strangler pattern and consumer-driven contracts.
HardSystem Design
0 practiced
Design a strategy to add a new geographic region to an existing service platform with minimal downtime while ensuring consistent configuration and feature availability. Discuss control-plane replication, config synchronization, geo-routing, staged activation (control plane → services → traffic), and how to roll out future features regionally without large refactors.
EasyTechnical
0 practiced
Compare synchronous (HTTP) and asynchronous (message queue) service-to-service communication. For a feature that expects spikes from 10 → 10,000 events, which approach would you choose and why? Discuss coupling, latency, reliability, operational complexity and how each approach affects future extension.
EasyTechnical
0 practiced
Explain the concepts of scalability and elasticity, and compare vertical vs horizontal scaling. For each approach describe typical triggers (for example: handling 10 → 1,000 → 10,000 items), operational costs, single-node limits, and scenarios where you would choose one approach over the other in a cloud-native service.
MediumTechnical
0 practiced
When building a high-throughput feature, when should you prefer eventual consistency over strong consistency? Explain the trade-offs in developer complexity, client-visible latency, availability, and describe API patterns (read flags, consistency hints) to make consistency expectations explicit to clients.
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