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 PlatformStreaming Media Platform
8 removed+10 added17 unchanged

Components

19

IoT Telemetry Ingestion Platform

21

Streaming Media Platform

13 shared6+8

Failure Modes

6

IoT Telemetry Ingestion Platform

6

Streaming Media Platform

4 shared2+2

Connections

0

IoT Telemetry Ingestion Platform

0

Streaming Media Platform

0 shared

Components

13 shared6 left only+8 right only
=
Time-Series Metricsworkload
workload
=
Event Streamingworkload
workload
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
PostgreSQLprimary datastore
data management
=
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
=
Slow Consumeroperational risk
operational risk
=
Disk I/O Saturationoperational risk
operational risk
=
Queue Backlog Accumulationoperational risk
operational risk
Write-Heavy Transactionalworkload
workload
TimescaleDBsupporting component
application logic
ClickHouseprimary datastore
data management
Time Series Rolluparchitecture pattern
application logic
Write Amplification Cascadeoperational risk
operational risk
WAL Saturationoperational risk
operational risk
+
Batch ETL Pipelineworkload
workload
+
Read-Heavy API Backendworkload
workload
+
Apache Cassandraprimary datastore
data management
+
MinIOsupporting component
application logic
+
Cache-Asidearchitecture pattern
application logic
+
Event Sourcingarchitecture pattern
application logic
+
Thundering Herd (Cache Stampede)operational risk
operational risk
+
Cascading Failureoperational risk
operational risk

Failure Modes

4 shared2 left only+2 right only
=
Hot Partition0 nodes affected
high
=
Slow Consumer0 nodes affected
moderate
=
Disk I/O Saturation1 nodes affected
high
=
Queue Backlog Accumulation2 nodes affected
high
Write Amplification Cascade0 nodes affected
highhigh
WAL Saturation1 nodes affected
highhigh
+
Thundering Herd (Cache Stampede)1 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, 19 nodes, 0 edges, 6 risks, 3 simulation seeds

Complexity

← IoT

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

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

Operational Risk

tie

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; 12 operational requirements

Operational Maturity

tie

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

8 watched metrics, 7 observability recommendations, 3 simulation seeds

Observability

tie

8 watched metrics, 7 observability recommendations, 3 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; 3 seeds with generator notes