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 PlatformTwo-Sided Marketplace Platform
13 removed+10 added14 unchanged

Components

21

Streaming Media Platform

19

Two-Sided Marketplace Platform

10 shared11+9

Failure Modes

6

Streaming Media Platform

5

Two-Sided Marketplace Platform

4 shared2+1

Connections

0

Streaming Media Platform

0

Two-Sided Marketplace Platform

0 shared

Components

10 shared11 left only+9 right only
=
Read-Heavy API Backendworkload
workload
=
Apache Kafkaevent stream
async processing
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Cache-Asidearchitecture pattern
application logic
=
Event Sourcingarchitecture pattern
application logic
=
Queue Backlog Accumulationoperational risk
operational risk
=
Thundering Herd (Cache Stampede)operational risk
operational risk
=
Hot Partitionoperational risk
operational risk
=
Cascading Failureoperational risk
operational risk
Event Streamingworkload
workload
Batch ETL Pipelineworkload
workload
Time-Series Metricsworkload
workload
Apache Cassandraprimary datastore
data management
MinIOsupporting component
application logic
Competing Consumersarchitecture pattern
application logic
Change Data Capture via WALarchitecture pattern
application logic
Backpressurearchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
Disk I/O Saturationoperational risk
operational risk
Slow Consumeroperational risk
operational risk
+
Marketplace Mixedworkload
workload
+
Financial Transactionworkload
workload
+
Elasticsearchsupporting component
application logic
+
RabbitMQevent stream
async processing
+
Saga Patternarchitecture pattern
application logic
+
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
+
API Gatewayarchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Lock Contentionoperational risk
operational risk

Failure Modes

4 shared2 left only+1 right only
=
Queue Backlog Accumulation2 nodes affected
high
=
Thundering Herd (Cache Stampede)1 nodes affected
high
=
Hot Partition0 nodes affected
high
=
Cascading Failure0 nodes affected
high
Disk I/O Saturation1 nodes affected
highhigh
Slow Consumer0 nodes affected
moderate
+
Lock Contention0 nodes affected
highhigh

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

← Streaming

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

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

Operational Risk

Two-Sided →

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

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

Scalability

Two-Sided →

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

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

Operational Maturity

tie

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

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

Two-Sided →

5 watched metrics, 7 observability recommendations, 2 simulation seeds

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

Generator Readiness

depends

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