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Application Programming Interface Design and Scalability Questions

Designing application programming interfaces that remain reliable, performant, and maintainable at high scale. Candidates should understand how interface decisions affect scalability, availability, latency, and operational complexity and be able to reason about trade offs between client complexity and server responsibility. Core areas include stateless interface design, pagination and cursor strategies for large result sets, filtering and search optimization, payload minimization, batching and streaming, and techniques to reduce server load while preserving client experience. Resilience and operational controls include rate limiting and quota management, throttling, backpressure and flow control, retry semantics and idempotency patterns, error format design and explicit identification of retryable errors, and strategies for graceful degradation under overload. Evolution and compatibility topics include backward compatible versioning strategies, deprecation policies, contract design and testing approaches to avoid breaking consumers. Infrastructure and deployment considerations include API gateway and edge patterns, interaction with load balancers and traffic distribution, caching and content delivery, routing fault tolerance, health checks and canary rollout strategies, and observability through metrics, distributed tracing, and logging to support capacity planning and incident response. Security considerations such as scalable authentication and authorization, credential and key management, and permission models are also important. Candidates should be prepared to discuss concrete patterns, trade offs, algorithms, and operational playbooks for designing and running high traffic application programming interfaces.

MediumSystem Design
59 practiced
Design rate limiting for a login endpoint that must enforce 100 attempts per minute per IP and 10 attempts per minute per account across a globally distributed fleet. Discuss counter implementations (fixed window, sliding window log, sliding window counter), storage choices (in-memory, Redis), consistency challenges, and methods to mitigate IP spoofing and coordinated attacks.
HardTechnical
57 practiced
Design a failure injection and chaos testing plan for an API platform to validate graceful degradation and resilience. Include types of faults to inject (latency, error rates, partial network partitions), how to run tests safely in production or staging, metrics to monitor, automated rollback criteria, and how to ensure tests exercise retry and circuit-breaker behavior meaningfully.
MediumSystem Design
61 practiced
Design a deprecation policy and versioning plan for a public API used by numerous external clients. Specify deprecation timelines, compatibility guarantees, automated compatibility checks, how you will communicate changes, and a rollback plan for accidental breaking changes.
MediumTechnical
59 practiced
Provide pseudocode for an Express middleware in Node.js that enforces idempotency for POST endpoints using an Idempotency-Key header and Redis. Describe how the middleware handles concurrent identical requests, what to store in Redis (response or status), TTL choices, and how to protect Redis memory from unbounded growth.
MediumTechnical
67 practiced
Write a Java function that converts a monotonically increasing 64-bit counter to a Base62 short token suitable for short URLs. Discuss how to avoid predictable sequences if desired, trade-offs compared to hashing random data, and how you would bulk-generate tokens efficiently.

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