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 (−)

Streaming Media PlatformNotification Delivery Platform
17 removed+12 added10 unchanged

Components

21

Streaming Media Platform

17

Notification Delivery Platform

8 shared13+9

Failure Modes

6

Streaming Media Platform

5

Notification Delivery Platform

2 shared4+3

Connections

0

Streaming Media Platform

0

Notification Delivery Platform

0 shared

Components

8 shared13 left only+9 right only
=
Event Streamingworkload
workload
=
Apache Kafkaevent stream
async processing
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Competing Consumersarchitecture pattern
application logic
=
Rate Limitingarchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
=
Slow Consumeroperational risk
operational risk
Batch ETL Pipelineworkload
workload
Read-Heavy API Backendworkload
workload
Time-Series Metricsworkload
workload
Apache Cassandraprimary datastore
data management
MinIOsupporting component
application logic
Cache-Asidearchitecture pattern
application logic
Event Sourcingarchitecture pattern
application logic
Change Data Capture via WALarchitecture pattern
application logic
Backpressurearchitecture pattern
application logic
Thundering Herd (Cache Stampede)operational risk
operational risk
Disk I/O Saturationoperational risk
operational risk
Hot Partitionoperational risk
operational risk
Cascading Failureoperational risk
operational risk
+
Write-Heavy Transactionalworkload
workload
+
RabbitMQevent stream
async processing
+
Transactional Outbox Patternarchitecture 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
+
Partial Service Failureoperational risk
operational risk

Failure Modes

2 shared4 left only+3 right only
=
Queue Backlog Accumulation2 nodes affected
high
=
Slow Consumer0 nodes affected
moderate
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
Disk I/O Saturation1 nodes affected
highhigh
Hot Partition0 nodes affected
highhigh
Cascading Failure0 nodes affected
highhigh
+
Rate Limit Cascade0 nodes affected
highhigh
+
Fanout Amplification0 nodes affected
moderate
+
Partial Service Failure0 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, 3 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

Notification →

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

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 14 operational requirements

Operational Maturity

tie

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

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

Notification →

4 watched metrics, 3 observability recommendations, 1 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 3 seeds with generator notes

Generator Readiness

← Streaming

generator relevance documented; topology generation relevance noted; simulation relevance noted; 1 seeds with generator notes