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 (−)

Event-Driven Analytics PipelineIoT Telemetry Ingestion Platform
3 removed+22 added3 unchanged

Components

5

Event-Driven Analytics Pipeline

19

IoT Telemetry Ingestion Platform

3 shared2+16

Failure Modes

1

Event-Driven Analytics Pipeline

6

IoT Telemetry Ingestion Platform

0 shared1+6

Connections

0

Event-Driven Analytics Pipeline

0

IoT Telemetry Ingestion Platform

0 shared

Components

3 shared2 left only+16 right only
=
PostgreSQLprimary datastore
data management
=
Apache Kafkaevent stream
async processing
=
Change Data Capture via WALarchitecture pattern
application logic
High-Throughput OLTPworkload
workload
Replication Lag Cascadeoperational risk
operational risk
+
Time-Series Metricsworkload
workload
+
Event Streamingworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
TimescaleDBsupporting component
application logic
+
Rediscache
acceleration
+
ClickHouseprimary datastore
data management
+
Time Series Rolluparchitecture 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
+
Slow Consumeroperational risk
operational risk
+
Disk I/O Saturationoperational risk
operational risk
+
Queue Backlog Accumulationoperational risk
operational risk

Failure Modes

1 left only+6 right only
Replication Lag Cascade0 nodes affected
moderate
+
Hot Partition0 nodes affected
highhigh
+
Write Amplification Cascade0 nodes affected
highhigh
+
WAL Saturation1 nodes affected
highhigh
+
Slow Consumer0 nodes affected
moderate
+
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, 5 nodes, 0 edges, 1 risks, 0 simulation seeds

Complexity

← Event-Driven

high complexity, 19 nodes, 0 edges, 6 risks, 3 simulation seeds

1 risks (top: moderate), 0 high/critical, 0 confirmed by simulation

Operational Risk

← Event-Driven

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

3 scaling thresholds, 2 migration paths, 3 advisor scaling signals

Scalability

IoT →

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

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 5 operational requirements

Operational Maturity

tie

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 12 operational requirements

0 watched metrics, 0 observability recommendations, 0 simulation seeds

Observability

← Event-Driven

8 watched metrics, 7 observability recommendations, 3 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted

Generator Readiness

IoT →

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