9 docs tagged with "scaling"

A comprehensive deep dive into consistent hashing, addressing modulo scaling bottlenecks, hash rings, virtual nodes, data replication, interview questions, and real-world implementations.

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.

Senior-level guide to Elasticsearch cluster engineering — covering memory management, the 32GB JVM heap boundary, Zen2 discovery, write/search optimization, and ILM.

A comprehensive guide to rate-limiting algorithms, including Token Bucket, Leaky Bucket, Fixed Window, Sliding Window Log, and Sliding Window Counter. Covers workflow mechanics, trade-offs, and distributed scaling.

Database replication strategies, sharding patterns, the CAP theorem, and horizontal scaling techniques.

Strategies for handling high read QPS including caching layers, read replicas, CDN, CQRS, and database indexing. Covers Redis patterns, cache invalidation, consistency models, fan-out strategies, and senior-level deep dives into coherence, hot keys, and tail latency.

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.