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 (−)

AI Retrieval-Augmented Generation PlatformStreaming Media Platform
7 removed+18 added9 unchanged

Components

12

AI Retrieval-Augmented Generation Platform

21

Streaming Media Platform

7 shared5+14

Failure Modes

4

AI Retrieval-Augmented Generation Platform

6

Streaming Media Platform

2 shared2+4

Connections

0

AI Retrieval-Augmented Generation Platform

0

Streaming Media Platform

0 shared

Components

7 shared5 left only+14 right only
=
Read-Heavy API Backendworkload
workload
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
Cache-Asidearchitecture pattern
application logic
=
Thundering Herd (Cache Stampede)operational risk
operational risk
=
Slow Consumeroperational risk
operational risk
AI Embedding Lookupworkload
workload
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
Materialized Viewarchitecture pattern
application logic
Memory Pressure and OOM Killoperational risk
operational risk
Table and Index Bloatoperational 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
+
Event Sourcingarchitecture pattern
application logic
+
Change Data Capture via WALarchitecture pattern
application logic
+
Backpressurearchitecture pattern
application logic
+
Rate Limitingarchitecture pattern
application logic
+
Queue Backlog Accumulationoperational risk
operational risk
+
Disk I/O Saturationoperational risk
operational risk
+
Hot Partitionoperational risk
operational risk
+
Cascading Failureoperational risk
operational risk

Failure Modes

2 shared2 left only+4 right only
=
Thundering Herd (Cache Stampede)1 nodes affected
high
=
Slow Consumer0 nodes affected
moderate
Memory Pressure and OOM Kill1 nodes affected
highhigh
Table and Index Bloat0 nodes affected
moderate
+
Queue Backlog Accumulation2 nodes affected
highhigh
+
Disk I/O Saturation1 nodes affected
highhigh
+
Hot Partition0 nodes affected
highhigh
+
Cascading Failure0 nodes affected
highhigh

Connections

Six-Dimension Assessment

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

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

Complexity

← AI

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

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

Operational Risk

← AI

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

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

Scalability

depends

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

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 9 operational requirements

Operational Maturity

tie

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

4 watched metrics, 3 observability recommendations, 2 simulation seeds

Observability

← AI

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