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 (−)

Realtime Collaborative EditorGaming Backend Platform
1 removed+18 added5 unchanged

Components

5

Realtime Collaborative Editor

18

Gaming Backend Platform

4 shared1+14

Failure Modes

1

Realtime Collaborative Editor

5

Gaming Backend Platform

1 shared+4

Connections

2

Realtime Collaborative Editor

0

Gaming Backend Platform

0 shared2

Components

4 shared1 left only+14 right only
=
High-Throughput OLTPworkload
workload
=
PostgreSQLprimary datastore
data management
=
Rediscache
acceleration
=
Connection Pool Exhaustionoperational risk
operational risk
Connection Poolingarchitecture pattern
interface or access
+
Realtime Collaborationworkload
workload
+
Write-Heavy Transactionalworkload
workload
+
Apache Kafkaevent stream
async processing
+
NATSevent stream
async processing
+
Event Sourcingarchitecture pattern
application logic
+
Leader Electionarchitecture pattern
application logic
+
Consistent Hashingarchitecture pattern
application logic
+
Backpressurearchitecture pattern
application logic
+
Circuit Breakerarchitecture pattern
application logic
+
Snapshot Patternarchitecture pattern
application logic
+
Split-Brainoperational risk
operational risk
+
Network Partitionoperational risk
operational risk
+
Partial Service Failureoperational risk
operational risk
+
Leader Election Stormoperational risk
operational risk

Failure Modes

1 shared+4 right only
=
Connection Pool Exhaustion1 nodes affected
high
+
Split-Brain0 nodes affected
highhigh
+
Network Partition0 nodes affected
highhigh
+
Partial Service Failure0 nodes affected
moderate
+
Leader Election Storm0 nodes affected
highhigh

Connections

2 left only
A connection pool bounds the total database connections an application can open, preventing connection storms during traffic spikes and protecting the database server from exceeding its connection limit.
mitigates
Redis clients hold persistent TCP connections per thread or goroutine. Under connection pool misconfiguration or sudden traffic spikes, the Redis server can exhaust its maxclients limit, causing cascading cache misses that amplify load on the primary database.
introduces riskrisk path

Six-Dimension Assessment

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

expert complexity, 5 nodes, 2 edges, 1 risks, 1 simulation seeds

Complexity

← Realtime

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

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

Operational Risk

← Realtime

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

3 scaling thresholds, 2 migration paths, 6 advisor scaling signals

Scalability

Gaming →

4 scaling thresholds, 3 migration paths, 7 advisor scaling signals

Advisor assessment: Expert Only; recommended team: Enterprise Architecture Team; 6 operational requirements

Operational Maturity

Gaming →

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 9 operational requirements

4 watched metrics, 2 observability recommendations, 1 simulation seeds

Observability

← Realtime

4 watched metrics, 5 observability recommendations, 1 simulation seeds

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

Generator Readiness

Gaming →

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