DBRaven

Architecture Structural Diff

Compare two scenarios node-by-node. See exactly which components, failure modes, and connections are shared, removed (−), or added (+) when switching from the left scenario to the right.

Select Scenarios to Diff

left, removals (−)

right, removals (−)

Read-Heavy SaaS APIRealtime Collaborative Editor
4 removed+1 added5 unchanged

Components

7

Read-Heavy SaaS API

5

Realtime Collaborative Editor

4 shared3+1

Failure Modes

2

Read-Heavy SaaS API

1

Realtime Collaborative Editor

1 shared1

Connections

6

Read-Heavy SaaS API

2

Realtime Collaborative Editor

1 shared5+1

Components

4 shared3 left only+1 right only
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Connection Poolingarchitecture pattern
interface or access
=
Connection Pool Exhaustionoperational risk
operational risk
Read-Heavy API Backendworkload
workload
Read Replicaarchitecture pattern
application logic
Replication Lag Cascadeoperational risk
operational risk
+
High-Throughput OLTPworkload
workload

Failure Modes

1 shared1 left only
=
Connection Pool Exhaustion1 nodes affected
high
Replication Lag Cascade1 nodes affected
moderate

Connections

1 shared5 left only+1 right only
=
A connection pool bounds the total database connections an application can open, preventing connection storms during traffic spikes and protecting the database server from exceeding its connection limit.
mitigates
Redis caching absorbs repeated read requests at the edge, reducing database load and latency for high read-to-write ratio workloads by orders of magnitude.
mitigates
Read-heavy APIs benefit directly from Redis as a caching tier that absorbs repeated identical reads and provides sub-millisecond response times for hot data, reducing both latency and database load.
benefits from
Read-heavy APIs generate large numbers of short-lived database connections. Connection pooling reduces per-request connection overhead and allows the database to serve far more concurrent requests than its max_connections limit.
benefits from
PostgreSQL's built-in streaming replication provides the replication substrate that makes the read replica pattern operational. Physical and logical replication are both supported, enabling read scaling without data modification.
supports
The read replica pattern is structurally vulnerable to replication lag cascade because its value proposition: serving reads from replicas: depends on replica data being sufficiently current. Any condition that delays WAL replay degrades or invalidates the replica's usefulness.
vulnerable torisk path
+
Redis clients hold persistent TCP connections per thread or goroutine. Under connection pool misconfiguration or sudden traffic spikes, the Redis server can exhaust its maxclients limit, causing cascading cache misses that amplify load on the primary database.
introduces riskrisk path

Six-Dimension Assessment

Structural comparison across complexity, risk, scalability, maturity, observability, and generator readiness.

moderate complexity, 7 nodes, 6 edges, 2 risks, 2 simulation seeds

Complexity

← Read-Heavy

expert complexity, 5 nodes, 2 edges, 1 risks, 1 simulation seeds

2 risks (top: high), 2 high/critical, 2 confirmed by simulation

Operational Risk

Realtime →

1 risks (top: high), 1 high/critical, 1 confirmed by simulation

4 scaling thresholds, 2 migration paths, 9 advisor scaling signals

Scalability

← Read-Heavy

3 scaling thresholds, 2 migration paths, 6 advisor scaling signals

Advisor assessment: Intermediate; recommended team: Experienced Backend Team; 7 operational requirements

Operational Maturity

← Read-Heavy

Advisor assessment: Expert Only; recommended team: Enterprise Architecture Team; 6 operational requirements

8 watched metrics, 3 observability recommendations, 2 simulation seeds

Observability

Realtime →

4 watched metrics, 2 observability recommendations, 1 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 2 seeds with generator notes

Generator Readiness

← Read-Heavy

generator relevance documented; topology generation relevance noted; simulation relevance noted; 1 seeds with generator notes