High-cardinality data: Performance design

Defines workload assumptions, budgets, capacity boundaries, bottlenecks, and scaling strategy for high-cardinality data. It fixes adoption boundaries and observable failure evidence while keeping environment-specific limits configurable.

Published Sep 12, 2026