How to design, partition, replicate, and operate a distributed vector database for semantic search at scale — covering sharding strategies, HNSW vs. IVF, hybrid retrieval, and operational pitfalls.
A practical deep dive into how bloom filters are integrated into LSM-tree storage engines to slash read amplification, with concrete examples from RocksDB, Cassandra, and ScyllaDB.
How modern distributed databases turn the write-amplification problem into a throughput advantage, and what it costs you on the read path.
How to design ledger systems that survive concurrency, partial failures, and audits. Covers double-entry invariants, event-sourced architectures, idempotency, and reconciliation patterns used in production.
Ship a real webhook delivery service with idempotency, retries, and a dead-letter queue — a portfolio project that signals genuine distributed-systems skill to hiring managers.