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 PlatformStreaming Media Platform
14 removed+14 added13 unchanged

Components

21

E-Commerce Order Platform

21

Streaming Media Platform

10 shared11+11

Failure Modes

6

E-Commerce Order Platform

6

Streaming Media Platform

3 shared3+3

Connections

0

E-Commerce Order Platform

0

Streaming Media Platform

0 shared

Components

10 shared11 left only+11 right only
=
Read-Heavy API Backendworkload
workload
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
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
=
Queue Backlog Accumulationoperational risk
operational risk
Marketplace Mixedworkload
workload
Financial Transactionworkload
workload
RabbitMQevent stream
async processing
Elasticsearchsupporting component
application logic
Saga Patternarchitecture pattern
application logic
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Transactional Outbox Patternarchitecture pattern
application logic
Circuit Breakerarchitecture pattern
application logic
Lock Contentionoperational risk
operational risk
Deadlockoperational risk
operational risk
Partial Service 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
+
Disk I/O Saturationoperational risk
operational risk
+
Slow Consumeroperational risk
operational risk
+
Hot Partitionoperational risk
operational risk

Failure Modes

3 shared3 left only+3 right only
=
Cascading Failure0 nodes affected
high
=
Thundering Herd (Cache Stampede)1 nodes affected
high
=
Queue Backlog Accumulation0 nodes affected
high
Lock Contention0 nodes affected
highhigh
Deadlock2 nodes affected
highhigh
Partial Service Failure0 nodes affected
moderate
+
Disk I/O Saturation1 nodes affected
highhigh
+
Slow Consumer0 nodes affected
moderate
+
Hot Partition0 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, 2 simulation seeds

Complexity

tie

high complexity, 21 nodes, 0 edges, 6 risks, 3 simulation seeds

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

Operational Risk

tie

6 risks (top: high), 5 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; 14 operational requirements

4 watched metrics, 6 observability recommendations, 2 simulation seeds

Observability

← E-Commerce

8 watched metrics, 7 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