Database Sharding & Partitioning
A complete guide to horizontal scaling — sharding strategies, consistent hashing, cross-shard complexities, rebalancing, distributed ID generation, and real-world database comparisons.
A complete guide to horizontal scaling — sharding strategies, consistent hashing, cross-shard complexities, rebalancing, distributed ID generation, and real-world database comparisons.
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.
A complete guide to Spring Batch — Job architecture, Chunk-oriented processing, ItemReader/Processor/Writer, fault tolerance, scaling patterns, transaction boundaries, and production monitoring.