database-scaling
Scale a relational database under growing load in the right order — query/index tuning, connection pooling, read replicas and replication lag, caching, table partitioning, and sharding. Covers CQRS, hot keys, and the trade-offs of each step. Deep reference with runnable checks.
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Overview
Most "we need to shard" emergencies are solved by an index, a connection pool, or a cache. Scaling a database is about applying the cheapest effective fix first and only taking on operational complexity when measured load forces you to. This skill is the deep reference for that progression — what each technique buys you, what it costs, and the failure modes that bite teams who skip steps. Heavy de
What it covers
- Mental model: the scaling ladder
- Tune before you scale (rung 0)
- Vertical vs horizontal scaling
- Connection pooling (rung 1)
- Read replicas and replication lag (rung 2)
- Caching (rung 3)
- Partitioning (rung 4)
- Sharding (rung 5)