Multi-Tenant SaaS Platform
Multi-Tenant SaaSmoderate complexity
Deterministic topology derived from YAML knowledge entities. Nodes represent workloads, datastores, patterns, and risk components. Edges show typed relationships with propagation direction.
11
Components
7
Connections
4
Failure Modes
3
Propagation Paths
Max exposure: high· 2 high-risk nodes in this topology
Topology Graph11 nodes · 7 edges
2 high-risk nodesClick a failure mode below to trace propagation
Workload
Datastore
Cache
Event stream
Pattern
Risk node
Risk path
Failure Propagation Trace
Topology Notes
- ·PgBouncer sits between all application instances and the shared PostgreSQL primary. Pool mode must be transaction. All application database connections carry a tenant_id context variable (set_config or application_name) for RLS policy evaluation.
- ·PostgreSQL row-level security policies are enforced at the database layer. All application queries run as a limited-privilege role that activates RLS. The superuser role must never be used from application code in production.
- ·Redis cache keys are tenant-namespaced: the canonical key format is {tenant_id}:{resource_type}:{resource_id}. Global (non-tenant) keys use a reserved namespace prefix (e.g., global:{resource}). This namespacing must be enforced by the cache client abstraction, not left to caller convention.
- ·Connection quota enforcement is the responsibility of the application layer, not PgBouncer. Implement a per-tenant connection semaphore or rate limiter in the application before saturation events occur, not after.
- ·The shared PostgreSQL schema includes a tenants table with operational metadata (tier, created_at, status). The RLS policies reference this table to enforce data boundaries. Schema changes to this table require careful migration planning.