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Articles tagged with #backend
Two ideas explain why full-text search is fast at scale: the inverted index and shard routing. Covers how documents are indexed, how queries scatter and gather, and the consistency trade-offs.
A senior deep dive into WhatsApp: two billion devices on live connections, store-and-forward delivery, end-to-end encryption, group sender keys, and the reconnect storm, with 15 diagrams.
Kafka or RabbitMQ? A senior engineer's answer: the three delivery shapes, the scale arithmetic, partitions and offsets, exactly-once, and how to choose by the shape of the work.
"Should we use Kafka or RabbitMQ" is one of the most asked and most badly answered questions in backend engineering. Most answers turn into a benchmark fight about throughput.
API design as a long-lived contract: REST vs GraphQL vs gRPC, resource modeling, versioning, pagination, idempotency keys, RFC 9457 errors, auth, and rate limiting.
A senior-level walkthrough of web search serving: latency budget math, inverted index compression, document sharding, scatter-gather fanout, dynamic pruning, the ranking cascade, and tail latency.
