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 (−)

Notification Delivery PlatformSocial Feed Platform
11 removed+12 added11 unchanged

Components

17

Notification Delivery Platform

18

Social Feed Platform

9 shared8+9

Failure Modes

5

Notification Delivery Platform

5

Social Feed Platform

2 shared3+3

Connections

0

Notification Delivery Platform

0

Social Feed Platform

0 shared

Components

9 shared8 left only+9 right only
=
Event Streamingworkload
workload
=
Write-Heavy Transactionalworkload
workload
=
Apache Kafkaevent stream
async processing
=
RabbitMQevent stream
async processing
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Transactional Outbox Patternarchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
=
Fanout Amplificationoperational risk
operational risk
Competing Consumersarchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
Retry with Exponential Backoffarchitecture pattern
application logic
Circuit Breakerarchitecture pattern
application logic
Inbox Pattern (Idempotent Consumer)architecture pattern
application logic
Rate Limit Cascadeoperational risk
operational risk
Slow Consumeroperational risk
operational risk
Partial Service Failureoperational risk
operational risk
+
Read-Heavy API Backendworkload
workload
+
Fan-Out on Writearchitecture pattern
application logic
+
Fan-Out on Readarchitecture pattern
application logic
+
Cache-Asidearchitecture pattern
application logic
+
Publisher-Subscriberarchitecture pattern
application logic
+
Read Replicaarchitecture pattern
application logic
+
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Hot Partitionoperational risk
operational risk
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

2 shared3 left only+3 right only
=
Queue Backlog Accumulation2 nodes affected
high
=
Fanout Amplification0 nodes affected
moderate
Rate Limit Cascade0 nodes affected
highhigh
Slow Consumer0 nodes affected
moderate
Partial Service Failure0 nodes affected
moderate
+
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Hot Partition0 nodes affected
highhigh
+
Replication Lag Cascade1 nodes affected
moderate

Connections

Six-Dimension Assessment

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

moderate complexity, 17 nodes, 0 edges, 5 risks, 1 simulation seeds

Complexity

← Notification

high complexity, 18 nodes, 0 edges, 5 risks, 4 simulation seeds

5 risks (top: high), 2 high/critical, 0 confirmed by simulation

Operational Risk

← Notification

5 risks (top: high), 4 high/critical, 1 confirmed by simulation

4 scaling thresholds, 3 migration paths, 4 advisor scaling signals

Scalability

Social →

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

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 12 operational requirements

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 12 operational requirements

4 watched metrics, 3 observability recommendations, 1 simulation seeds

Observability

← Notification

12 watched metrics, 6 observability recommendations, 4 simulation seeds

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

Generator Readiness

Social →

generator relevance documented; topology generation relevance noted; simulation relevance noted; 4 seeds with generator notes