A survey of how distributed databases handle secondary indexes, comparing strategies in DynamoDB, MongoDB, Yugabyte, and others.
Explores techniques to significantly improve MongoDB aggregation performance using parallel processing and sharding on distributed clusters.
Explains how to configure the number of History service shards in Temporal for optimal performance, balancing contention and resource use.
A preview of the 2017 Postgres Open Silicon Valley conference lineup, highlighting key talks on PostgreSQL indexing, scaling, and concurrency.
Argues that SQL databases are inherently non-scalable, questioning the effectiveness of traditional scaling techniques like caching and sharding.
A guide to database sharding, explaining what it is, why it's needed, and how to implement logical and physical shards for scaling.
