Design systems beyond the whiteboard.
Interview-depth case studies where every decision is justified. Built as a progression — start from first principles, climb to distributed systems.
First principles of scale
Unique ID schemes, sharding strategies, read-heavy caching, hot key mitigation, pre-generated key pools, tiered storage.
Async pipelines & multi-channel delivery
Kafka fan-out, per-channel workers, retry/DLQ, scheduled dispatch, content deduplication, async uploads, expiry at scale.
Distributed rate control
Rate limiting algorithms from scratch, atomic Redis counters, distributed enforcement, rule management, DDoS layered defence.
Storage engine internals
Leaderless replication, quorum reads/writes, LSM tree internals, compaction strategies, gossip membership, conflict resolution.
Real-time systems at scale
WebSocket connection management, per-conversation sequencing, offline queues, thundering herd, backpressure, hot partition salting.