Database Blueprint Architect — Design Reliable Scalable

Database blueprint — illustrative conceptual design

Authority: appointment service owns scheduling truth; any cache or search index is a derived view unless explicitly designed otherwise. Confirm tenant boundaries and authorization model.

Entities: Tenant; Customer scoped to tenant; Provider scoped to tenant; Appointment with tenant, customer, provider, start/end, status and version or equivalent concurrency control. Exact types and key strategy depend on chosen engine and requirements.

Invariants: customer/provider and appointment belong to the same tenant; end is after start; confirmed provider appointments do not overlap; valid status transitions are explicit. Enforce through suitable transactional controls and supported constraints after platform verification, not a read-then-write check vulnerable to races.

Access patterns: provider/day schedule; customer appointment history; appointment by tenant and identifier. Candidate indexes follow these predicates, but benchmark and inspect plans before deciding physical design.

Tenant isolation: authorization must scope every relevant access and relationship. Tests should include cross-tenant identifiers and attempted unauthorized relationships; performance work must not weaken isolation.

Reliability: define availability, recovery objectives and retention; plan backups and actual restore rehearsals; use safe migrations with compatibility, validation and rollback/forward-fix gates. No provider durability claim made.

Validation scenarios: concurrent overlapping bookings, adjacent non-overlapping slots, cancellation/rebooking, timezone boundaries, tenant isolation, retry duplication and restore integrity.

Open decisions: engine, workload scale, time semantics, conflict policy, history/audit needs and recovery targets. Start with the simplest architecture that satisfies confirmed requirements.

Execution notes: no database chosen, schema deployed, query benchmarked or migration run.