Senior Principal Engineer guide to database re-sharding, live cluster migration approaches, pros and cons, dual-write choreography, CDC replication, consistent hash expansion, and range splits.
A complete guide to horizontal scaling — sharding strategies, consistent hashing, cross-shard complexities, rebalancing, distributed ID generation, and real-world database comparisons.
A deep dive into Elasticsearch internals — covering the inverted index structure, node roles, sharding, document write path, and search query execution.
What MongoDB is, why to use it, core concepts, data modelling, CRUD, aggregation, indexes, advanced architecture, and schema patterns. Covers beginner through senior depth.
Database replication strategies, sharding patterns, the CAP theorem, and horizontal scaling techniques.
Deep-dive into high write throughput techniques — sharding, partitioning, WAL internals, LSM trees, async pipelines, batching, backpressure, idempotency, and distributed transactions — with production Java/Spring code and failure mode analysis.
Blockchain scalability - the trilemma, database-style sharding vs blockchain sharding, Ethereum danksharding, data availability sampling, optimistic and ZK rollups, state channels, sidechains, cross-shard atomicity, and bridge risks.
