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 (−)

AI Retrieval-Augmented Generation PlatformSocial Feed Platform
9 removed+16 added7 unchanged

Components

12

AI Retrieval-Augmented Generation Platform

18

Social Feed Platform

6 shared6+12

Failure Modes

4

AI Retrieval-Augmented Generation Platform

5

Social Feed Platform

1 shared3+4

Connections

0

AI Retrieval-Augmented Generation Platform

0

Social Feed Platform

0 shared

Components

6 shared6 left only+12 right only
=
Read-Heavy API Backendworkload
workload
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
Cache-Asidearchitecture pattern
application logic
=
Thundering Herd (Cache Stampede)operational risk
operational risk
AI Embedding Lookupworkload
workload
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Materialized Viewarchitecture pattern
application logic
Memory Pressure and OOM Killoperational risk
operational risk
Slow Consumeroperational risk
operational risk
Table and Index Bloatoperational risk
operational risk
+
Write-Heavy Transactionalworkload
workload
+
Event Streamingworkload
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
+
Queue Backlog Accumulationoperational risk
operational risk
+
Hot Partitionoperational risk
operational risk
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

1 shared3 left only+4 right only
=
Thundering Herd (Cache Stampede)1 nodes affected
high
Memory Pressure and OOM Kill1 nodes affected
highhigh
Slow Consumer0 nodes affected
moderate
Table and Index Bloat0 nodes affected
moderate
+
Fanout Amplification1 nodes affected
moderate
+
Queue Backlog Accumulation1 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.

high complexity, 12 nodes, 0 edges, 4 risks, 2 simulation seeds

Complexity

← AI

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

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

Operational Risk

← AI

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; 9 operational requirements

Operational Maturity

tie

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

4 watched metrics, 3 observability recommendations, 2 simulation seeds

Observability

← AI

12 watched metrics, 6 observability recommendations, 4 simulation seeds

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

Generator Readiness

Social →

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