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 PlatformAI Retrieval-Augmented Generation Platform
21 removed+12 added4 unchanged

Components

19

Healthcare Records Platform

12

AI Retrieval-Augmented Generation Platform

4 shared15+8

Failure Modes

6

Healthcare Records Platform

4

AI Retrieval-Augmented Generation Platform

0 shared6+4

Connections

0

Healthcare Records Platform

0

AI Retrieval-Augmented Generation Platform

0 shared

Components

4 shared15 left only+8 right only
=
PostgreSQLprimary datastore
data management
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Mixed OLTP (SaaS Core)workload
workload
Write-Heavy Transactionalworkload
workload
Event Streamingworkload
workload
Event Sourcingarchitecture pattern
application logic
Change Data Capture via WALarchitecture pattern
application logic
Read Replicaarchitecture pattern
application logic
Index Tablearchitecture pattern
application logic
Transactional Outbox Patternarchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
Replication Lag Cascadeoperational risk
operational risk
Lock Contentionoperational risk
operational risk
Schema Migration Lockoperational risk
operational risk
Configuration Driftoperational risk
operational risk
Partial Service Failureoperational risk
operational risk
Deadlockoperational risk
operational risk
+
AI Embedding Lookupworkload
workload
+
Read-Heavy API Backendworkload
workload
+
Cache-Asidearchitecture pattern
application logic
+
Materialized Viewarchitecture pattern
application logic
+
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Memory Pressure and OOM Killoperational risk
operational risk
+
Slow Consumeroperational risk
operational risk
+
Table and Index Bloatoperational risk
operational risk

Failure Modes

6 left only+4 right only
Replication Lag Cascade1 nodes affected
moderate
Lock Contention1 nodes affected
highhigh
Schema Migration Lock0 nodes affected
highhigh
Configuration Drift0 nodes affected
moderate
Partial Service Failure0 nodes affected
moderate
Deadlock1 nodes affected
highhigh
+
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Memory Pressure and OOM Kill1 nodes affected
highhigh
+
Slow Consumer0 nodes affected
moderate
+
Table and Index Bloat0 nodes affected
moderate

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

AI →

high complexity, 12 nodes, 0 edges, 4 risks, 2 simulation seeds

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

Operational Risk

AI →

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

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

Scalability

← Healthcare

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; 9 operational requirements

8 watched metrics, 5 observability recommendations, 3 simulation seeds

Observability

AI →

4 watched metrics, 3 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