The integration does not begin at the endpoint
Before consuming an API, define which system owns each piece of data. The ERP may be the source of truth for stock and prices, while PrestaShop owns the cart and shopping experience. Without that decision, bidirectional synchronization creates conflicts that are hard to explain.
The acceptable frequency also matters. Stock may need frequent updates, while product descriptions can be processed in batches. Cadence is part of the design, not an infrastructure detail.
Design for ordinary failures
A useful integration assumes rate limits, partial responses, timeouts and invalid records. The goal is not to prevent every failure, but to make each one visible, recoverable and safe.
- Use stable external identifiers and idempotent operations.
- Record the minimum useful payload, response and failure reason.
- Retry only recoverable errors with progressive backoff.
- Separate data errors from temporary network problems.
- Provide a review queue for cases that need intervention.
Webhooks, queues and reconciliation
Webhooks reduce latency, but they do not replace a scheduled reconciliation process. Events can be lost or duplicated. A stronger design combines events for quick reactions with periodic checks that confirm both systems are still converging.
When volume justifies it, a queue separates reception from the actual work. It controls concurrency, enables safe retries and absorbs peaks without degrading checkout.
What to measure in production
An operable integration needs more than logs. Pending items, synchronization time, failure rate and the last successful run make degradation visible before it becomes a commercial problem.
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