DBRaven
Start Review →

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 (−)

AI Retrieval-Augmented Generation Platform
high

AI / RAG

API Gateway Platform
high

Multi-Tenant SaaS

Analytics Data Platform
high

Analytics

Audit and Compliance Platform
high

Financial Ledger

Content Management Platform
moderate

Read-Heavy

Developer Tools Platform
high

Multi-Tenant SaaS

Distributed Job Queue Platform
moderate

Write-Heavy

E-Commerce Order Platform
high

Marketplace

Event-Driven Analytics Pipeline
high

Event-Driven

Financial Ledger Platform
expert

Financial Ledger

Gaming Backend Platform
high

Realtime Collab

Geospatial Tracking Platform
high

Realtime Collab

Healthcare Records Platform
expert

Financial Ledger

IoT Telemetry Ingestion Platform
high

Write-Heavy

ML Feature Serving Platform
expert

AI / RAG

Multi-Tenant SaaS Platform
moderate

Multi-Tenant SaaS

Notification Delivery Platform
moderate

Event-Driven

Observability Platform
high

Analytics

Read-Heavy SaaS API
Realtime Collaborative Editor
expert

Realtime Collab

Search-Heavy Content Platform
high

Search-Heavy

Social Feed Platform
high

Event-Driven

Streaming Media Platform
high

Event-Driven

Two-Sided Marketplace Platform
expert

Marketplace

Write-Heavy Transactional Platform
high✓

Write-Heavy

right, removals (−)

AI Retrieval-Augmented Generation Platform
high

AI / RAG

API Gateway Platform
high

Multi-Tenant SaaS

Analytics Data Platform
high

Analytics

Audit and Compliance Platform
high

Financial Ledger

Content Management Platform
moderate

Read-Heavy

Developer Tools Platform
high

Multi-Tenant SaaS

Distributed Job Queue Platform
moderate

Write-Heavy

E-Commerce Order Platform
high

Marketplace

Event-Driven Analytics Pipeline
high

Event-Driven

Financial Ledger Platform
expert

Financial Ledger

Gaming Backend Platform
high

Realtime Collab

Geospatial Tracking Platform
high

Realtime Collab

Healthcare Records Platform
expert

Financial Ledger

IoT Telemetry Ingestion Platform
high

Write-Heavy

ML Feature Serving Platform
expert

AI / RAG

Multi-Tenant SaaS Platform
moderate

Multi-Tenant SaaS

Notification Delivery Platform
moderate

Event-Driven

Observability Platform
high

Analytics

Read-Heavy SaaS API
moderate✓

Read-Heavy

Realtime Collaborative Editor
expert

Realtime Collab

Search-Heavy Content Platform
high

Search-Heavy

Social Feed Platform
high

Event-Driven

Streaming Media Platform
high

Event-Driven

Two-Sided Marketplace Platform
expert

Marketplace

Write-Heavy Transactional Platform
Write-Heavy Transactional Platform→Read-Heavy SaaS API
−13 removed+7 added2 unchanged

Components

11

Write-Heavy Transactional Platform

7

Read-Heavy SaaS API

2 shared−9+5

Failure Modes

4

Write-Heavy Transactional Platform

2

Read-Heavy SaaS API

0 shared−4+2

Connections

5

Write-Heavy Transactional Platform

6

Read-Heavy SaaS API

0 shared−5+6

Components

2 shared−9 left only+5 right only
=
PostgreSQLprimary datastore
data management
=
Connection Poolingarchitecture pattern
interface or access
−
Write-Heavy Transactionalworkload
workload
−
High-Throughput OLTPworkload
workload
−
Apache Kafkaevent stream
async processing
−
Change Data Capture via WALarchitecture pattern
application logic
−
Transactional Outbox Patternarchitecture pattern
application logic
−
Write Amplification Cascadeoperational risk
operational risk
−
WAL Saturationoperational risk
operational risk
−
Lock Contentionoperational risk
operational risk
−
Checkpoint Amplificationoperational risk
operational risk
+
Read-Heavy API Backendworkload
workload
+
Rediscache
acceleration
+
Read Replicaarchitecture pattern
application logic
+
Connection Pool Exhaustionoperational risk
operational risk
+
Replication Lag Cascadeoperational risk
operational risk

Failure Modes

−4 left only+2 right only
−
Write Amplification Cascade0 nodes affected
highhigh
−
WAL Saturation1 nodes affected
highhigh
−
Lock Contention1 nodes affected
highhigh
−
Checkpoint Amplification1 nodes affected
moderate
+
Connection Pool Exhaustion1 nodes affected
highhigh
+
Replication Lag Cascade1 nodes affected
moderate

Connections

−5 left only+6 right only
−
Write-heavy transactional workloads that emit downstream events (order placed, payment captured) benefit from the outbox pattern to ensure events are published exactly when the database transaction commits: never before, never after.
benefits from
−
Kafka is the standard downstream target for WAL-based CDC pipelines: Debezium captures database WAL records and publishes them to Kafka topics, which downstream consumers process to maintain derived data stores, caches, and event-driven services.
supports
−
Write-heavy transactional workloads trigger frequent PostgreSQL checkpoints that flush large numbers of dirty pages to disk simultaneously, causing I/O spikes that interrupt query execution and increase write amplification beyond the WAL baseline.
vulnerable torisk path
−
Write-heavy transactional workloads amplify lock contention: many concurrent writers contend for row-level locks on the same records (e.g., shared account balances, inventory counts), causing transactions to queue, latency to spike, and throughput to plateau well below hardware limits.
vulnerable torisk path
−
Write-heavy transactional workloads generate high WAL volume that can saturate WAL writer throughput, fill the WAL buffer, and: in the extreme: cause write transactions to block waiting for WAL to be flushed to disk or consumed by replicas.
vulnerable torisk path
+
Redis caching absorbs repeated read requests at the edge, reducing database load and latency for high read-to-write ratio workloads by orders of magnitude.
mitigates
+
Read-heavy APIs benefit directly from Redis as a caching tier that absorbs repeated identical reads and provides sub-millisecond response times for hot data, reducing both latency and database load.
benefits from
+
Read-heavy APIs generate large numbers of short-lived database connections. Connection pooling reduces per-request connection overhead and allows the database to serve far more concurrent requests than its max_connections limit.
benefits from
+
PostgreSQL's built-in streaming replication provides the replication substrate that makes the read replica pattern operational. Physical and logical replication are both supported, enabling read scaling without data modification.
supports
+
The read replica pattern is structurally vulnerable to replication lag cascade because its value proposition: serving reads from replicas: depends on replica data being sufficiently current. Any condition that delays WAL replay degrades or invalidates the replica's usefulness.
vulnerable torisk path
+
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

Six-Dimension Assessment

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

high complexity, 11 nodes, 5 edges, 4 risks, 3 simulation seeds

Complexity

Read-Heavy →

moderate complexity, 7 nodes, 6 edges, 2 risks, 2 simulation seeds

4 risks (top: high), 3 high/critical, 0 confirmed by simulation

Operational Risk

Read-Heavy →

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

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

Scalability

Read-Heavy →

4 scaling thresholds, 2 migration paths, 9 advisor scaling signals

Advisor assessment: Advanced; recommended team: Experienced Backend Team; 7 operational requirements

Operational Maturity

Read-Heavy →

Advisor assessment: Intermediate; recommended team: Experienced Backend Team; 7 operational requirements

6 watched metrics, 4 observability recommendations, 3 simulation seeds

Observability

Read-Heavy →

8 watched metrics, 3 observability recommendations, 2 simulation seeds

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

Generator Readiness

← Write-Heavy

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

Full comparison + decision path →Topology: Write-Heavy Transactional Platform →Topology: Read-Heavy SaaS API →