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 PlatformNotification Delivery Platform
16 removed+11 added11 unchanged

Components

21

E-Commerce Order Platform

17

Notification Delivery Platform

9 shared12+8

Failure Modes

6

E-Commerce Order Platform

5

Notification Delivery Platform

2 shared4+3

Connections

0

E-Commerce Order Platform

0

Notification Delivery Platform

0 shared

Components

9 shared12 left only+8 right only
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
RabbitMQevent stream
async processing
=
Apache Kafkaevent stream
async processing
=
Transactional Outbox Patternarchitecture pattern
application logic
=
Rate Limitingarchitecture pattern
application logic
=
Circuit Breakerarchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
=
Partial Service Failureoperational risk
operational risk
Marketplace Mixedworkload
workload
Financial Transactionworkload
workload
Read-Heavy API Backendworkload
workload
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
Lock Contentionoperational risk
operational risk
Cascading Failureoperational risk
operational risk
Thundering Herd (Cache Stampede)operational risk
operational risk
Deadlockoperational risk
operational risk
+
Event Streamingworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
Competing Consumersarchitecture pattern
application logic
+
Retry with Exponential Backoffarchitecture pattern
application logic
+
Inbox Pattern (Idempotent Consumer)architecture pattern
application logic
+
Rate Limit Cascadeoperational risk
operational risk
+
Fanout Amplificationoperational risk
operational risk
+
Slow Consumeroperational risk
operational risk

Failure Modes

2 shared4 left only+3 right only
=
Queue Backlog Accumulation0 nodes affected
high
=
Partial Service Failure0 nodes affected
moderate
Lock Contention0 nodes affected
highhigh
Cascading Failure0 nodes affected
highhigh
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
Deadlock2 nodes affected
highhigh
+
Rate Limit Cascade0 nodes affected
highhigh
+
Fanout Amplification0 nodes affected
moderate
+
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

Notification →

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

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

Operational Risk

Notification →

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

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

Scalability

depends

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; 12 operational requirements

4 watched metrics, 6 observability recommendations, 2 simulation seeds

Observability

Notification →

4 watched metrics, 3 observability recommendations, 1 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; 1 seeds with generator notes