Could someone explain the specific rate-limiting behavior when pushing WFM schedule data from Genesys Cloud to ServiceNow via REST API integrations? We are experiencing consistent 429 Too Many Requests errors during our Tuesday bulk schedule publish process, which aligns with our peak operational hours in the Europe/London timezone.
The integration utilizes Genesys Cloud Data Actions to trigger a webhook that subsequently calls the ServiceNow incident table API. The payload contains approximately 500 records per batch, split into chunks of 50 as recommended by previous discussions on this forum. Despite this chunking strategy, the ServiceNow instance returns a 429 status code with a Retry-After header of 60 seconds after the third batch. This suggests that the rate limit is being hit at the ServiceNow API gateway level rather than within Genesys Cloud itself.
We have verified that the ServiceNow instance is configured to allow 100 requests per minute from the Genesys Cloud IP range, which should theoretically accommodate our current throughput. However, the 429 errors persist, causing the Data Action to fail and requiring manual intervention to retry the failed batches. This disruption impacts our workforce adherence reporting, as the schedule data is not synchronized in real-time.
We are currently using Genesys Cloud API version v2 and ServiceNow version Washington DC. The webhook payload includes standard fields such as agent ID, shift start/end times, and schedule status. We have also implemented exponential backoff in the retry logic, but the 60-second delay specified in the Retry-After header is causing significant latency in the synchronization process.
Is there a known issue with the Genesys Cloud Data Actions webhook execution that might be causing unexpected request bursts to the ServiceNow API? Additionally, are there any best practices for optimizing the payload size or frequency to avoid hitting the ServiceNow rate limits during bulk operations?