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 PlatformGeospatial Tracking Platform
9 removed+7 added16 unchanged

Components

19

IoT Telemetry Ingestion Platform

18

Geospatial Tracking Platform

12 shared7+6

Failure Modes

6

IoT Telemetry Ingestion Platform

5

Geospatial Tracking Platform

4 shared2+1

Connections

0

IoT Telemetry Ingestion Platform

0

Geospatial Tracking Platform

0 shared

Components

12 shared7 left only+6 right only
=
Time-Series Metricsworkload
workload
=
Write-Heavy Transactionalworkload
workload
=
Apache Kafkaevent stream
async processing
=
TimescaleDBsupporting component
application logic
=
Rediscache
acceleration
=
PostgreSQLprimary datastore
data management
=
Time Series Rolluparchitecture pattern
application logic
=
Backpressurearchitecture pattern
application logic
=
Hot Partitionoperational risk
operational risk
=
Write Amplification Cascadeoperational risk
operational risk
=
Slow Consumeroperational risk
operational risk
=
Disk I/O Saturationoperational risk
operational risk
Event Streamingworkload
workload
ClickHouseprimary datastore
data management
Change Data Capture via WALarchitecture pattern
application logic
Competing Consumersarchitecture pattern
application logic
Rate Limitingarchitecture pattern
application logic
WAL Saturationoperational risk
operational risk
Queue Backlog Accumulationoperational risk
operational risk
+
Realtime Collaborationworkload
workload
+
Geospatial Indexarchitecture pattern
application logic
+
Write-Behind Cachearchitecture pattern
application logic
+
Event-Carried State Transferarchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Memory Pressure and OOM Killoperational risk
operational risk

Failure Modes

4 shared2 left only+1 right only
=
Hot Partition0 nodes affected
high
=
Write Amplification Cascade0 nodes affected
high
=
Slow Consumer0 nodes affected
moderate
=
Disk I/O Saturation1 nodes affected
high
WAL Saturation1 nodes affected
highhigh
Queue Backlog Accumulation2 nodes affected
highhigh
+
Memory Pressure and OOM Kill0 nodes affected
highhigh

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

Geospatial →

high complexity, 18 nodes, 0 edges, 5 risks, 1 simulation seeds

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

Operational Risk

Geospatial →

5 risks (top: high), 4 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; 10 operational requirements

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

Geospatial →

2 watched metrics, 5 observability recommendations, 1 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 3 seeds with generator notes

Generator Readiness

← IoT

generator relevance documented; topology generation relevance noted; simulation relevance noted; 1 seeds with generator notes