Is there a clean way to handle WFM API rate limits when triggering bulk ServiceNow ticket creation via Data Actions? We are currently integrating Genesys Cloud Workforce Engagement with ServiceNow to automate incident creation for agents who are consistently under-scheduled or have high adherence variances. The flow involves a scheduled Architect flow that queries the WFM API for adherence reports and then uses a Data Action to push violations to ServiceNow.
The issue arises during peak scheduling periods, typically around 09:00 GMT, when the WFM API responses are delayed, causing the Architect flow to hang. When the flow finally proceeds to the ServiceNow Data Action, we see a cascade of 429 Too Many Requests errors from the Genesys Cloud side, which then propagates as 500 Internal Server Errors in the ServiceNow logs. The payload structure is correct, and individual test runs succeed, but the batch processing fails consistently.
Environment details:
- Genesys Cloud Version: 2024.2.2
- ServiceNow Version: Washington SP5
- Integration Method: Data Action with HTTP POST
- Rate Limit Configuration: Default WFM API limits (100 requests per minute)
- Error Logs: 429 responses from /api/v2/wfm/schedules and 500 errors in ServiceNow sys_log
We have reviewed the WFM API documentation and confirmed that the rate limits are per tenant, not per endpoint. The current implementation does not include any retry logic or exponential backoff in the Architect flow. We are considering implementing a queue-based approach using a Data Action that writes to a ServiceNow table first, followed by a background job in ServiceNow to process the tickets.
Has anyone implemented a similar bulk integration pattern? Specifically, how do you handle the rate limiting when the WFM API is the bottleneck? We need a solution that ensures no data loss during high-volume periods while staying within the API constraints. Any insights on best practices for this type of integration would be appreciated.