System Design: Distributed Job Scheduler
Designing a cron-at-scale system — priority queues, exactly-once execution, retry with dead letter queues, and the monitoring that keeps it honest.
Long-form articles and short thoughts on AI, product, and engineering.
Designing a cron-at-scale system — priority queues, exactly-once execution, retry with dead letter queues, and the monitoring that keeps it honest.
Designing S3-like object storage — chunking, deduplication, CDN integration, and the metadata layer that ties it all together.
Consistent hashing, eviction policies, cache stampede prevention, and the Redis vs Memcached decision you'll actually face in production.
Idempotency, double-entry bookkeeping, webhook handling, and PCI compliance — the system where bugs cost real money.
Inverted indexes, query parsing, BM25 ranking, and autocomplete — designing an Elasticsearch-like search system from scratch.
Fan-out on write vs read, ranking algorithms, and the caching strategy behind Facebook and Twitter's news feeds.
Designing a WhatsApp/Slack-scale chat system — WebSockets, message ordering, presence indicators, and read receipts.
Push, email, SMS — designing a multi-channel notification system with priority queues, delivery guarantees, and template engines.
Token bucket, sliding window, and the Redis scripts that make distributed rate limiting actually work at scale.
Designing a bit.ly-scale URL shortener — Base62 encoding, redirect latency, analytics, and the caching layer that makes it fast.