Kafka

A practical guide to production data migration strategies—big-bang vs online migrations, expand/contract, dual writes, CDC, validation, cutover, and rollback. Includes runnable code, mermaid diagrams, and trade-offs commonly tested in system design interviews.

Design an event-sourced platform that stores immutable, append-only domain events as the system of record, scales to high write throughput, and serves low-latency reads via CQRS projections with reliable pub/sub distribution.

Design a CQRS-based backend that scales read and write workloads independently using a transactional command model and asynchronously updated read models. Covers event/CDC pipelines, projection correctness, caching, and consistency trade-offs at high scale.

Distributed streaming platform designed for high-throughput, real-time data pipelines and event-driven architectures

Comparing traditional message queues with log-based systems