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 (−)

Healthcare Records PlatformE-Commerce Order Platform
12 removed+14 added13 unchanged

Components

19

Healthcare Records Platform

21

E-Commerce Order Platform

10 shared9+11

Failure Modes

6

Healthcare Records Platform

6

E-Commerce Order Platform

3 shared3+3

Connections

0

Healthcare Records Platform

0

E-Commerce Order Platform

0 shared

Components

10 shared9 left only+11 right only
=
PostgreSQLprimary datastore
data management
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
Event Sourcingarchitecture pattern
application logic
=
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
=
Transactional Outbox Patternarchitecture pattern
application logic
=
Rate Limitingarchitecture pattern
application logic
=
Lock Contentionoperational risk
operational risk
=
Partial Service Failureoperational risk
operational risk
=
Deadlockoperational risk
operational risk
Mixed OLTP (SaaS Core)workload
workload
Write-Heavy Transactionalworkload
workload
Event Streamingworkload
workload
Change Data Capture via WALarchitecture pattern
application logic
Read Replicaarchitecture pattern
application logic
Index Tablearchitecture pattern
application logic
Replication Lag Cascadeoperational risk
operational risk
Schema Migration Lockoperational risk
operational risk
Configuration Driftoperational risk
operational risk
+
Marketplace Mixedworkload
workload
+
Financial Transactionworkload
workload
+
Read-Heavy API Backendworkload
workload
+
RabbitMQevent stream
async processing
+
Elasticsearchsupporting component
application logic
+
Saga Patternarchitecture pattern
application logic
+
Cache-Asidearchitecture pattern
application logic
+
Circuit Breakerarchitecture pattern
application logic
+
Cascading Failureoperational risk
operational risk
+
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Queue Backlog Accumulationoperational risk
operational risk

Failure Modes

3 shared3 left only+3 right only
=
Lock Contention1 nodes affected
high
=
Partial Service Failure0 nodes affected
moderate
=
Deadlock1 nodes affected
high
Replication Lag Cascade1 nodes affected
moderate
Schema Migration Lock0 nodes affected
highhigh
Configuration Drift0 nodes affected
moderate
+
Cascading Failure0 nodes affected
highhigh
+
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Queue Backlog Accumulation0 nodes affected
highhigh

Connections

Six-Dimension Assessment

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

expert complexity, 19 nodes, 0 edges, 6 risks, 3 simulation seeds

Complexity

E-Commerce →

high complexity, 21 nodes, 0 edges, 6 risks, 2 simulation seeds

6 risks (top: high), 4 high/critical, 1 confirmed by simulation

Operational Risk

← Healthcare

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

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

Scalability

depends

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

Advisor assessment: Advanced; recommended team: Platform Engineering Team; 9 operational requirements

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 15 operational requirements

8 watched metrics, 5 observability recommendations, 3 simulation seeds

Observability

E-Commerce →

4 watched metrics, 6 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