Templates/Queue-based ERP Sync

Queue-based ERP Sync

Enterprise IntegrationAdvancedEnterprise integration

Async enterprise integration pattern with reliable message queuing, exponential retry, and dead-letter isolation. Use when syncing internal systems with ERP without tight coupling.

Recommended for: Integration teams gluing ERP to internal systems

7 nodes7 connectionsDurable messagingRetry with backoffPoison-message isolation

Scope Notes

Intended for Integration teams gluing ERP to internal systems at Advanced complexity and Enterprise integration scope. Treat the graph as a starting shape rather than a fixed stack: keep the topology and the signals below, then swap providers to match your platform.

Durable messagingRetry with backoffPoison-message isolation

Review Checklist

0 of 12 reviewed

Use Case

ERP synchronization, legacy system integration, B2B data pipelines

Best Fit Scenarios

  • Two-way sync with SAP or NetSuite
  • Workloads that must survive ERP outages
  • Operations that need poison-message isolation

Stack Breakdown

NestJSRabbitMQQueue WorkerRetry WorkerSAPPostgreSQL

Architecture Layers

1Business API
2Message broker
3Worker pool
4Retry & dead letter
5ERP system
6Sync ledger

Components by Category

backend

NestJS

async

RabbitMQQueue WorkerRetry WorkerDead Letter Queue

external

SAP

database

PostgreSQL

Why This Topology Works

RabbitMQ decouples the business API from SAP's availability. A dedicated retry worker applies exponential backoff, and exhausted messages land in the DLQ with the sync ledger in PostgreSQL recording what was applied.

Scaling Notes

Workers scale with queue depth. The retry worker isolates transient ERP outages from the main consumer, and the DLQ keeps poison messages from blocking the pipeline.

Observability

Queue depth, retry rate and DLQ growth are the signals that matter. The DLQ is the manual inspection surface; draining it is an operator action, not an automatic retry.

Typical Bottlenecks

  • SAP API quotas and rate limits
  • Retry storms during ERP downtime
  • PostgreSQL write contention on the sync ledger

Async Flow and Reliability

The business API publishes to RabbitMQ and returns immediately. Workers sync to SAP; transient failures go to the retry worker with backoff, and permanent failures are parked in the DLQ.

Upgrade Path

Add a quota-aware throttle in front of SAP so retries cannot exhaust the ERP's API budget, then split inbound and outbound sync into separate queues.