Integrations Are Easy Until Something Goes Wrong

Connecting two SaaS platforms can look surprisingly simple.

One API request creates a record. Another updates its status. A webhook keeps everything synchronized.

Then the external service times out.

Did the request fail, or did it succeed before the connection was lost?

That question changes how an integration should be designed.

The problem with assuming success

Consider synchronizing customer data between an e-commerce platform and a CRM.

A customer places an order, and the application sends the purchase details to the CRM. The CRM processes the request, but the response never reaches the original application.

If the integration retries without checking, it may create a duplicate record.

This is why idempotency is so important.

An operation should be designed so that processing the same event more than once doesn't create unintended results.

What I pay attention to

When designing external integrations, a few things deserve special attention:

• Retry behavior and exponential backoff.
• API rate limits and temporary service outages.
• Webhook signature verification.
• Duplicate event detection.
• Failed-job visibility and recovery.
• Clear ownership of synchronized data.

I also prefer moving noncritical integration work into background queues instead of making users wait for external services.

Not every failure needs immediate intervention. Sometimes a retry is enough. Other failures require a dead-letter queue or manual review.

The goal is to make integration failures manageable rather than invisible.

Reliable integrations aren't necessarily the most visible part of a SaaS product, but they're often what determines whether customers can depend on it.