Design YouTube: Scaling Bottlenecks
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.
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.
A structured framework for the architecture and data model behind a chat system interview question, covering connection gateways, message brokers, Cassandra vs MySQL, and fan-out strategies.
A structured framework for answering the chat system design interview question, covering WebSocket connections, message ordering, group chat, read receipts, and offline delivery.
A structured framework for answering the notification system design interview question, covering push/email/SMS channels, priority queues, rate limiting, template engines, and delivery tracking.
Token bucket vs. leaky bucket vs. sliding window log — the algorithm choice is only half the design. This piece is about where the limiter physically sits in your request path, and why that placement decision matters as much as the algorithm itself.