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 (−)

Two-Sided Marketplace PlatformNotification Delivery Platform
17 removed+15 added7 unchanged

Components

19

Two-Sided Marketplace Platform

17

Notification Delivery Platform

6 shared13+11

Failure Modes

5

Two-Sided Marketplace Platform

5

Notification Delivery Platform

1 shared4+4

Connections

0

Two-Sided Marketplace Platform

0

Notification Delivery Platform

0 shared

Components

6 shared13 left only+11 right only
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
RabbitMQevent stream
async processing
=
Transactional Outbox Patternarchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
Marketplace Mixedworkload
workload
Read-Heavy API Backendworkload
workload
Financial Transactionworkload
workload
Elasticsearchsupporting component
application logic
Event Sourcingarchitecture pattern
application logic
Saga Patternarchitecture pattern
application logic
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Cache-Asidearchitecture pattern
application logic
API Gatewayarchitecture pattern
application logic
Hot Partitionoperational risk
operational risk
Cascading Failureoperational risk
operational risk
Lock Contentionoperational risk
operational risk
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Event Streamingworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
Competing Consumersarchitecture pattern
application logic
+
Rate Limitingarchitecture pattern
application logic
+
Retry with Exponential Backoffarchitecture pattern
application logic
+
Circuit Breakerarchitecture 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
+
Partial Service Failureoperational risk
operational risk

Failure Modes

1 shared4 left only+4 right only
=
Queue Backlog Accumulation0 nodes affected
high
Hot Partition1 nodes affected
highhigh
Cascading Failure0 nodes affected
highhigh
Lock Contention0 nodes affected
highhigh
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Rate Limit Cascade0 nodes affected
highhigh
+
Fanout Amplification0 nodes affected
moderate
+
Slow Consumer0 nodes affected
moderate
+
Partial Service Failure0 nodes affected
moderate

Connections

Six-Dimension Assessment

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

expert complexity, 19 nodes, 0 edges, 5 risks, 2 simulation seeds

Complexity

Notification →

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

5 risks (top: high), 5 high/critical, 1 confirmed by simulation

Operational Risk

Notification →

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

4 scaling thresholds, 3 migration paths, 6 advisor scaling signals

Scalability

← Two-Sided

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

Advisor assessment: Advanced; recommended team: Platform Engineering Team; 15 operational requirements

Operational Maturity

tie

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

5 watched metrics, 7 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