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 PlatformIoT Telemetry Ingestion Platform
11 removed+20 added5 unchanged

Components

12

AI Retrieval-Augmented Generation Platform

19

IoT Telemetry Ingestion Platform

4 shared8+15

Failure Modes

4

AI Retrieval-Augmented Generation Platform

6

IoT Telemetry Ingestion Platform

1 shared3+5

Connections

0

AI Retrieval-Augmented Generation Platform

0

IoT Telemetry Ingestion Platform

0 shared

Components

4 shared8 left only+15 right only
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Apache Kafkaevent stream
async processing
=
Slow Consumeroperational risk
operational risk
AI Embedding Lookupworkload
workload
Read-Heavy API Backendworkload
workload
CQRS (Command Query Responsibility Segregation)architecture pattern
application logic
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
Table and Index Bloatoperational risk
operational risk
+
Time-Series Metricsworkload
workload
+
Event Streamingworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
TimescaleDBsupporting component
application logic
+
ClickHouseprimary datastore
data management
+
Time Series Rolluparchitecture pattern
application logic
+
Change Data Capture via WALarchitecture pattern
application logic
+
Backpressurearchitecture pattern
application logic
+
Competing Consumersarchitecture pattern
application logic
+
Rate Limitingarchitecture pattern
application logic
+
Hot Partitionoperational risk
operational risk
+
Write Amplification Cascadeoperational risk
operational risk
+
WAL Saturationoperational risk
operational risk
+
Disk I/O Saturationoperational risk
operational risk
+
Queue Backlog Accumulationoperational risk
operational risk

Failure Modes

1 shared3 left only+5 right only
=
Slow Consumer0 nodes affected
moderate
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
Memory Pressure and OOM Kill1 nodes affected
highhigh
Table and Index Bloat0 nodes affected
moderate
+
Hot Partition0 nodes affected
highhigh
+
Write Amplification Cascade0 nodes affected
highhigh
+
WAL Saturation1 nodes affected
highhigh
+
Disk I/O Saturation1 nodes affected
highhigh
+
Queue Backlog Accumulation2 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, 19 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; 12 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