Message and traffic rate limits
Rate limits by user, line and action reduce abuse and accidental repetition.
Duplicate messages, slow ERP responses and external-service outages happen in real life. The platform must not create incorrect actions when they do.
Direct definition
Scale is not just more servers. Deduplication, rate limits, queues, timeouts, controlled retries and observable failure behaviour must work together.
Primary source: Meta Reva product and integration documentation.

Message deduplication, rate limits, queues, timeouts and safe error handling work together to keep workflows controlled under load.
Rate limits by user, line and action reduce abuse and accidental repetition.
Long-running work moves to a controlled queue instead of being left half-complete in a web request.
On ERP or API timeout, the action is not presented as complete; a verification path determines the actual result.
Controlled delivery
We measure expected traffic and critical actions, map dependency failures, then test load, duplicate messages and service outages.
We measure expected traffic and critical actions, map dependency failures, then test load, duplicate messages and service outages.
On ERP or API timeout, the action is not presented as complete; a verification path determines the actual result.
The workflow needs an API, secure database access, file exchange or an existing service layer. We do not claim automation before a viable technical path is confirmed.
Show us how the work runs today and we will define a practical first scope together.