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 PlatformSocial Feed Platform
16 removed+14 added9 unchanged

Components

19

IoT Telemetry Ingestion Platform

18

Social Feed Platform

7 shared12+11

Failure Modes

6

IoT Telemetry Ingestion Platform

5

Social Feed Platform

2 shared4+3

Connections

0

IoT Telemetry Ingestion Platform

0

Social Feed Platform

0 shared

Components

7 shared12 left only+11 right only
=
Event Streamingworkload
workload
=
Write-Heavy Transactionalworkload
workload
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
PostgreSQLprimary datastore
data management
=
Hot Partitionoperational risk
operational risk
=
Queue Backlog Accumulationoperational risk
operational risk
Time-Series Metricsworkload
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
Write Amplification Cascadeoperational risk
operational risk
WAL Saturationoperational risk
operational risk
Slow Consumeroperational risk
operational risk
Disk I/O Saturationoperational risk
operational risk
+
Read-Heavy API Backendworkload
workload
+
RabbitMQevent stream
async processing
+
Fan-Out on Writearchitecture pattern
application logic
+
Fan-Out on Readarchitecture pattern
application logic
+
Cache-Asidearchitecture pattern
application logic
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Publisher-Subscriberarchitecture pattern
application logic
+
Read Replicaarchitecture pattern
application logic
+
Fanout Amplificationoperational risk
operational risk
+
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

2 shared4 left only+3 right only
=
Hot Partition0 nodes affected
high
=
Queue Backlog Accumulation2 nodes affected
high
Write Amplification Cascade0 nodes affected
highhigh
WAL Saturation1 nodes affected
highhigh
Slow Consumer0 nodes affected
moderate
Disk I/O Saturation1 nodes affected
highhigh
+
Fanout Amplification1 nodes affected
moderate
+
Thundering Herd (Cache Stampede)1 nodes affected
highhigh
+
Replication Lag Cascade1 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

Social →

high complexity, 18 nodes, 0 edges, 5 risks, 4 simulation seeds

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

Operational Risk

Social →

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

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

Scalability

Social →

4 scaling thresholds, 3 migration paths, 6 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; 12 operational requirements

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

← IoT

12 watched metrics, 6 observability recommendations, 4 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; 4 seeds with generator notes