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スキルを磨く — システム設計
AIを支える大規模システムを設計します：推薦エンジン、検索オートコンプリート、レートリミッター。コードだけでなく、アーキテクチャで考えることを学びます。
前提条件: コーディング面接に慣れていること
Master the core components every system design interview expects you to know.
Walk through a complete URL shortener design using the structured interview framework.
Design a WhatsApp-like chat system handling millions of concurrent users with real-time delivery.
Architect a production recommendation system combining collaborative filtering, embeddings, and real-time serving.
Architect a platform like OpenAI's API that serves multiple AI models with authentication, rate limiting, and auto-scaling.
Learn how to design a distributed rate limiter using token bucket, sliding window, and Redis-backed algorithms to protect APIs from abuse and ensure fair usage.
Design a scalable multi-channel notification system handling push, email, SMS, and in-app notifications with message queues, deduplication, and user preference management.
Design a scalable video streaming platform covering upload pipelines, adaptive bitrate transcoding, CDN distribution, and live streaming architecture.
Design a distributed web crawler covering URL frontier management, politeness policies, content deduplication with SimHash, and distributed crawling with consistent hashing.
Design a distributed caching system covering cache strategies, consistent hashing, eviction policies, cache stampede prevention, and Redis Cluster architecture.