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 PlatformE-Commerce Order Platform
8 removed+19 added8 unchanged

Components

12

AI Retrieval-Augmented Generation Platform

21

E-Commerce Order Platform

7 shared5+14

Failure Modes

4

AI Retrieval-Augmented Generation Platform

6

E-Commerce Order Platform

1 shared3+5

Connections

0

AI Retrieval-Augmented Generation Platform

0

E-Commerce Order Platform

0 shared

Components

7 shared5 left only+14 right only
=
Read-Heavy API Backendworkload
workload
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
=
Cache-Asidearchitecture pattern
application logic
=
Thundering Herd (Cache Stampede)operational risk
operational risk
AI Embedding Lookupworkload
workload
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
+
Marketplace Mixedworkload
workload
+
Financial Transactionworkload
workload
+
RabbitMQevent stream
async processing
+
Elasticsearchsupporting component
application logic
+
Saga Patternarchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Event Sourcingarchitecture pattern
application logic
+
Rate Limitingarchitecture pattern
application logic
+
Circuit Breakerarchitecture pattern
application logic
+
Lock Contentionoperational risk
operational risk
+
Cascading Failureoperational risk
operational risk
+
Queue Backlog Accumulationoperational risk
operational risk
+
Deadlockoperational risk
operational risk
+
Partial Service Failureoperational risk
operational risk

Failure Modes

1 shared3 left only+5 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
+
Lock Contention0 nodes affected
highhigh
+
Cascading Failure0 nodes affected
highhigh
+
Queue Backlog Accumulation0 nodes affected
highhigh
+
Deadlock2 nodes affected
highhigh
+
Partial Service Failure0 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, 21 nodes, 0 edges, 6 risks, 2 simulation seeds

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

Operational Risk

← AI

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

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

Scalability

E-Commerce →

4 scaling thresholds, 3 migration paths, 4 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; 15 operational requirements

4 watched metrics, 3 observability recommendations, 2 simulation seeds

Observability

← AI

4 watched metrics, 6 observability recommendations, 2 simulation seeds

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

Generator Readiness

depends

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