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 (−)

Observability PlatformNotification Delivery Platform
17 removed+12 added10 unchanged

Components

21

Observability Platform

17

Notification Delivery Platform

8 shared13+9

Failure Modes

6

Observability Platform

5

Notification Delivery Platform

2 shared4+3

Connections

0

Observability Platform

0

Notification Delivery Platform

0 shared

Components

8 shared13 left only+9 right only
=
Event Streamingworkload
workload
=
Write-Heavy Transactionalworkload
workload
=
Apache Kafkaevent stream
async processing
=
Rediscache
acceleration
=
Competing Consumersarchitecture pattern
application logic
=
Rate Limitingarchitecture pattern
application logic
=
Slow Consumeroperational risk
operational risk
=
Fanout Amplificationoperational risk
operational risk
Analytics Heavy (OLAP)workload
workload
Time-Series Metricsworkload
workload
ClickHouseprimary datastore
data management
Elasticsearchsupporting component
application logic
TimescaleDBsupporting component
application logic
Time Series Rolluparchitecture pattern
application logic
Change Data Capture via WALarchitecture pattern
application logic
Materialized Viewarchitecture pattern
application logic
Backpressurearchitecture pattern
application logic
Disk I/O Saturationoperational risk
operational risk
Hot Partitionoperational risk
operational risk
WAL Saturationoperational risk
operational risk
Write Amplification Cascadeoperational risk
operational risk
+
RabbitMQevent stream
async processing
+
PostgreSQLprimary datastore
data management
+
Transactional Outbox Patternarchitecture pattern
application logic
+
Retry with Exponential Backoffarchitecture pattern
application logic
+
Circuit Breakerarchitecture pattern
application logic
+
Inbox Pattern (Idempotent Consumer)architecture pattern
application logic
+
Queue Backlog Accumulationoperational risk
operational risk
+
Rate Limit Cascadeoperational risk
operational risk
+
Partial Service Failureoperational risk
operational risk

Failure Modes

2 shared4 left only+3 right only
=
Slow Consumer0 nodes affected
moderate
=
Fanout Amplification0 nodes affected
moderate
Disk I/O Saturation1 nodes affected
highhigh
Hot Partition0 nodes affected
highhigh
WAL Saturation1 nodes affected
highhigh
Write Amplification Cascade0 nodes affected
highhigh
+
Queue Backlog Accumulation2 nodes affected
highhigh
+
Rate Limit Cascade0 nodes affected
highhigh
+
Partial Service Failure0 nodes affected
moderate

Connections

Six-Dimension Assessment

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

high complexity, 21 nodes, 0 edges, 6 risks, 2 simulation seeds

Complexity

Notification →

moderate complexity, 17 nodes, 0 edges, 5 risks, 1 simulation seeds

6 risks (top: high), 4 high/critical, 0 confirmed by simulation

Operational Risk

Notification →

5 risks (top: high), 2 high/critical, 0 confirmed by simulation

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

Scalability

Notification →

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

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

Operational Maturity

tie

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

4 watched metrics, 5 observability recommendations, 2 simulation seeds

Observability

Notification →

4 watched metrics, 3 observability recommendations, 1 simulation seeds

generator relevance documented; topology generation relevance noted; simulation relevance noted; 2 seeds with generator notes

Generator Readiness

depends

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