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Scalable System Architecture and Design Principles Questions

Architectural patterns principles and decision making for building systems that are maintainable resilient and able to scale. Coverage includes service decomposition and trade offs between microservice architectures and monoliths; layered and n tier architecture patterns; event driven design and command query responsibility segregation pattern; choosing synchronous versus asynchronous communication and its impact on correctness and latency; design principles such as loose coupling high cohesion separation of concerns and single responsibility; state management and session handling and when to favor stateless designs; application programming interface design versioning and contract management; front end and user experience considerations such as resource loading and progressive rendering; migration strategies for evolving systems and incremental refactoring; and how to weigh latency throughput reliability cost and development velocity when selecting architectures. Candidates should illustrate pattern selection with concrete examples and justify operational and developer experience implications.

HardSystem Design
52 practiced
Design a resilient message processing pipeline that tolerates poison messages and backpressure. Include producer and consumer behavior, retry policies with exponential backoff, dead-letter queue (DLQ) handling, idempotency for consumers, consumer-side flow control, and operational runbook steps for incidents like sustained backlog increase or DLQ spikes.
EasyTechnical
53 practiced
Describe the circuit breaker pattern from an SRE perspective. Explain how it protects dependent services, where it should be placed in a call chain, how you would pick thresholds and timeouts, and what signals and dashboards you would maintain to observe circuit breaker behavior in production.
MediumTechnical
63 practiced
For a content-heavy web app, propose a front-end and back-end strategy to improve perceived performance using progressive rendering, priority resource loading, server-side rendering (SSR) vs client-side rendering (CSR), partial hydration, and API designs that support incremental responses. Explain SRE implications for caching, CDN invalidation, and origin load.
MediumSystem Design
60 practiced
Design an API gateway that will serve both internal microservices and external clients. Requirements: authentication and authorization, per-client rate limiting, request/response transformations, routing to services, monitoring/metrics emission, and graceful degradation when downstreams fail. Discuss which features belong in the gateway versus in services, performance implications, and SRE operational responsibilities.
HardTechnical
64 practiced
Implement a consistent hashing ring in Go or Python that supports adding and removing nodes and maps arbitrary keys to nodes. Provide methods: AddNode(id), RemoveNode(id), and GetNode(key). Include support for virtual nodes to improve distribution and explain how your approach minimizes key movement on topology changes. Include basic unit test examples or assertions.

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