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 (−)

IoT Telemetry Ingestion PlatformAI Retrieval-Augmented Generation Platform
20 removed+11 added5 unchanged

Components

19

IoT Telemetry Ingestion Platform

12

AI Retrieval-Augmented Generation Platform

4 shared15+8

Failure Modes

6

IoT Telemetry Ingestion Platform

4

AI Retrieval-Augmented Generation Platform

1 shared5+3

Connections

0

IoT Telemetry Ingestion Platform

0

AI Retrieval-Augmented Generation Platform

0 shared

Components

4 shared15 left only+8 right only
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
PostgreSQLprimary datastore
data management
=
Slow Consumeroperational 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
+
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

Failure Modes

1 shared5 left only+3 right only
=
Slow Consumer0 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
+
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Memory Pressure and OOM Kill1 nodes affected
highhigh
+
Table and Index Bloat0 nodes affected
moderate

Connections

Six-Dimension Assessment

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

high 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), 5 high/critical, 0 confirmed by simulation

Operational Risk

AI →

4 risks (top: high), 2 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; 12 operational requirements

Operational Maturity

tie

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

8 watched metrics, 7 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