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 (−)

E-Commerce Order PlatformDistributed Job Queue Platform
14 removed+9 added13 unchanged

Components

21

E-Commerce Order Platform

17

Distributed Job Queue Platform

9 shared12+8

Failure Modes

6

E-Commerce Order Platform

5

Distributed Job Queue Platform

4 shared2+1

Connections

0

E-Commerce Order Platform

0

Distributed Job Queue Platform

0 shared

Components

9 shared12 left only+8 right only
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
Transactional Outbox Patternarchitecture pattern
application logic
=
Circuit Breakerarchitecture pattern
application logic
=
Lock Contentionoperational risk
operational risk
=
Queue Backlog Accumulationoperational risk
operational risk
=
Deadlockoperational risk
operational risk
=
Partial Service Failureoperational risk
operational risk
Marketplace Mixedworkload
workload
Financial Transactionworkload
workload
Read-Heavy API Backendworkload
workload
RabbitMQevent stream
async processing
Elasticsearchsupporting component
application logic
Saga Patternarchitecture pattern
application logic
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Cache-Asidearchitecture pattern
application logic
Event Sourcingarchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
Cascading Failureoperational risk
operational risk
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Batch ETL Pipelineworkload
workload
+
Event Streamingworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
Temporalsupporting component
application logic
+
Competing Consumersarchitecture pattern
application logic
+
Retry with Exponential Backoffarchitecture pattern
application logic
+
Backpressurearchitecture pattern
application logic
+
Slow Consumeroperational risk
operational risk

Failure Modes

4 shared2 left only+1 right only
=
Lock Contention0 nodes affected
high
=
Queue Backlog Accumulation0 nodes affected
high
=
Deadlock2 nodes affected
high
=
Partial Service Failure0 nodes affected
moderate
Cascading Failure0 nodes affected
highhigh
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Slow Consumer0 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, 2 simulation seeds

Complexity

Distributed →

moderate complexity, 17 nodes, 0 edges, 5 risks, 3 simulation seeds

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

Operational Risk

Distributed →

5 risks (top: high), 3 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; 15 operational requirements

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 9 operational requirements

4 watched metrics, 6 observability recommendations, 2 simulation seeds

Observability

← E-Commerce

8 watched metrics, 5 observability recommendations, 3 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; 3 seeds with generator notes