A component-by-component walkthrough of web crawler architecture: URL frontier queue, fetcher workers, content parser, dedup store, and sitemap discovery, with the data flow connecting them.
A complete framework for the web crawler system design interview: politeness policies, URL frontier design, duplicate detection, and distributed crawling trade-offs interviewers actually probe.
How to design a real-time collaborative document editor: operational transformation vs CRDTs, conflict resolution, and cursor synchronization, framed for the system design interview.
A component-level breakdown of a YouTube-style video platform: upload service, transcoding workers, metadata database, view counters, and CDN, plus how data flows between them.
The follow-up questions that separate strong system design candidates from average ones: storage growth, hot video caching, thundering herd problems, and scaling to live streaming.
A structured walkthrough of designing a video-sharing platform like YouTube for system design interviews, covering upload pipelines, transcoding, CDN delivery, and recommendations.