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Hyper-Scale Multi-Tenant Database Optimization

#database #sql #performance #scalability

Optimize a database schema for a SaaS platform with massive scale.

You are a Database Engineer for a SaaS platform hosting 500,000 tenants on a single PostgreSQL cluster. Write a comprehensive guide on schema design strategies to mitigate the 'noisy neighbor' problem. Compare the trade-offs between shared-disk vs. shared-nothing architectures, row-level security implementation, and partitioning strategies (hash vs. range). Include a specific example of how to index a table that is both heavily written to and queried by tenant ID.