Write-Heavy Transactional Platform
Write-Heavy Applicationhigh 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
5
Connections
4
Failure Modes
3
Propagation Paths
Max exposure: high· 1 high-risk node in this topology
Topology Graph11 nodes · 5 edges
1 high-risk nodeClick 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 write paths and PostgreSQL. Application code never holds idle connections to the database directly: all connections route through the pool. Pool mode must be transaction for write-heavy workloads.
- ·The outbox table lives in the same PostgreSQL schema as the primary domain tables. Transactional writes INSERT into both the domain table and the outbox table in a single atomic transaction, eliminating the dual-write consistency hazard.
- ·WAL CDC relay (e.g., Debezium) reads from the PostgreSQL logical replication slot and publishes outbox events to Kafka topics. The relay is the only consumer of the replication slot. Its lag is the primary operational SLA to monitor (target: < 5s).
- ·Kafka topics receive domain events from the outbox relay. Downstream consumers (read model projectors, notification services, analytics) read from Kafka independently, decoupling their scaling from the primary write path.
- ·The replication slot must have a monitoring alert at pg_wal_lsn delta > 500MB. A stalled relay left unmonitored will exhaust PostgreSQL WAL disk within hours at write rates above 1000 TPS.