Integrations are where many digital projects quietly fail. Orders go missing, stock goes negative and nobody notices until a customer complains. Reliable integrations follow a few proven patterns.
1. Decide the system of record
For each type of data (products, prices, customers, stock, orders) agree which system owns it. Data flows out from the owner; conflicting edits elsewhere are avoided.
2. Use events where you can
Webhooks and message queues push changes as they happen, instead of polling every few minutes. Real-time where it matters, scheduled batches where it does not.
3. Make every operation idempotent
If the same order message arrives twice, it must not create two orders. Use unique external IDs and check before creating.
4. Retry, then alert
Networks fail. Good integrations retry automatically with back-off, park failed messages in a queue, and alert a person only when manual action is needed.
5. Log everything
Store what was sent, what was received and what happened. When something goes wrong, you can trace it in minutes, not days.
6. Secure the connections
- OAuth 2.0 or scoped API keys, never shared admin passwords
- Signed webhooks to verify the sender
- Encrypted transport and secrets stored in a vault
| Situation | Good fit |
|---|---|
| Two cloud apps with APIs | Direct API integration or webhooks |
| Many systems, frequent changes | Middleware such as n8n, Make or Azure Logic Apps |
| High volumes | Message queues (RabbitMQ, Kafka) |
| Legacy system without API | Database sync, file exchange or RPA |