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 (−)

Streaming Media PlatformSocial Feed Platform
15 removed+11 added12 unchanged

Components

21

Streaming Media Platform

18

Social Feed Platform

9 shared12+9

Failure Modes

6

Streaming Media Platform

5

Social Feed Platform

3 shared3+2

Connections

0

Streaming Media Platform

0

Social Feed Platform

0 shared

Components

9 shared12 left only+9 right only
=
Event Streamingworkload
workload
=
Read-Heavy API Backendworkload
workload
=
Apache Kafkaevent stream
async processing
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Cache-Asidearchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
=
Thundering Herd (Cache Stampede)operational risk
operational risk
=
Hot Partitionoperational risk
operational risk
Batch ETL Pipelineworkload
workload
Time-Series Metricsworkload
workload
Apache Cassandraprimary datastore
data management
MinIOsupporting component
application logic
Competing Consumersarchitecture pattern
application logic
Event Sourcingarchitecture pattern
application logic
Change Data Capture via WALarchitecture pattern
application logic
Backpressurearchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
Disk I/O Saturationoperational risk
operational risk
Slow Consumeroperational risk
operational risk
Cascading Failureoperational risk
operational risk
+
Write-Heavy Transactionalworkload
workload
+
RabbitMQevent stream
async processing
+
Fan-Out on Writearchitecture pattern
application logic
+
Fan-Out on Readarchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Publisher-Subscriberarchitecture pattern
application logic
+
Read Replicaarchitecture pattern
application logic
+
Fanout Amplificationoperational risk
operational risk
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

3 shared3 left only+2 right only
=
Queue Backlog Accumulation2 nodes affected
high
=
Thundering Herd (Cache Stampede)1 nodes affected
high
=
Hot Partition0 nodes affected
high
Disk I/O Saturation1 nodes affected
highhigh
Slow Consumer0 nodes affected
moderate
Cascading Failure0 nodes affected
highhigh
+
Fanout Amplification1 nodes affected
moderate
+
Replication Lag Cascade1 nodes affected
moderate

Connections

Six-Dimension Assessment

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

high complexity, 21 nodes, 0 edges, 6 risks, 3 simulation seeds

Complexity

Social →

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

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

Operational Risk

Social →

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; 14 operational requirements

Operational Maturity

tie

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

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

← Streaming

12 watched metrics, 6 observability recommendations, 4 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 3 seeds with generator notes

Generator Readiness

depends

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