Design a scalable network I/O service
AnthropicSoftware Engineer · Technical ScreenLast updated
This question evaluates a candidate's ability to design a scalable, highly available network I/O backend, testing competencies in distributed systems, storage architecture, CDN and caching integration, API and data model design, capacity planning, failure handling, observability, and security.
Design a scalable and reliable backend service that handles high-volume network I/O (e.g., ingesting and serving large files or streaming data) for millions of users. Define functional and non-functional requirements; propose APIs and data models; estimate capacity and perform back-of-the-envelope calculations; design the high-level architecture (load balancing, stateless services, storage, caching, queues, CDN). Explain strategies for horizontal scaling, performance optimization, and cost controls. Address security and privacy (authentication, authorization, encryption in transit/at rest, rate limiting, multi-tenant isolation). Detail failure handling, retries, idempotency, consistency choices, and disaster recovery. Describe deployment, observability (logging/metrics/tracing), incident response, and rollback. Identify corner cases (e.g., partial uploads, duplicate requests, slow clients, network partitions) and how you would test them.
Solution walkthrough is for members
Get the full walkthrough with reference code and complexity analysis, plus Kitty Coach at 300 messages a day. Hints, the code runner and community answers stay free.