I’m building an internal security tool and need a solid PostgreSQL foundation that starts as a single, multi-tenant database yet can be cleanly split into separate databases—and separate servers—later on. The first release will concentrate on storing architectural components (a very well defined structure) alongside threat-intelligence data (mapped to the components metadata), so the schema must keep cross-tenant isolation strict while still allowing swift relational join matching across those two domains. What I need from you • A full relational schema (ERD and DDL) optimised for multi-tenant operation—think shared-table with isolated tenant-id or schema-per-tenant, whichever you can justify—and documented so the eventual extraction path is clear. • Well-indexed tables with explain-analyse-verified join paths for common queries we’ll run on architectural and threat data. • Migration tooling (Flyway, Liquibase, or native psql scripts) wired to a storage connector of your choice, making local-to-stage promotion painless. • A hand-off guide that shows how the current layout can be refactored into per-tenant databases and, if needed, separate servers without a rewrite. Acceptance criteria – Schema installs cleanly on PostgreSQL 15+ with zero warnings. – Multi-tenant rows remain isolated via row-level checks or equivalent. – Sample queries on threat vs. architecture tables return in <200 ms on a 1 M-row seed set. – Migration scripts apply forward and backward without data loss. – Transition playbook details exact steps, expected downtime, and cut-over SQL. If designing high-performance joins, partitioning strategies, and clean migration paths is your everyday territory, I’d love to review your approach and move quickly.