Trying to understand the rate limits for Workforce Management APIs. Running JMeter to create 500 shift templates via POST /api/v2/wfm/scheduling/schedules. Getting 429 Too Many Requests after 50 calls. Docs say 1000 requests per minute, but this happens faster. Is there a specific throttle for WFM endpoints? Need to scale this for testing.
Thanks.
Getting 429 Too Many Requests after 50 calls. Docs say 1000 requests per minute, but this happens faster.
The easiest way to fix this is to implement exponential backoff in your JMeter script, as WFM endpoints often enforce stricter burst limits than the general API documentation suggests. You need to wait for the Retry-After header value before resuming requests to avoid throttling.
Batching those 500 shifts into chunks of 50-100 with a 2-second delay between batches usually clears up the 429s. The WFM API has stricter burst limits than the general platform docs imply, so splitting the load prevents hitting that wall. Check your request strategy to ensure you are respecting those per-minute caps for scheduling endpoints.
As far as I remember, the WFM endpoints enforce stricter burst limits than the general platform documentation implies, which causes 429 errors during rapid bulk operations like creating 500 shift templates.
resource "genesyscloud_wfm_schedule" "bulk_shifts" {
count = 500
name = "Shift-${count.index}"
schedule_type = "ADHOC"
# Add a small delay in your CI/CD pipeline or use local-exec to throttle
# Example using GitHub Actions matrix strategy with concurrency limits
}
The issue is not the per-minute cap but the initial burst rate. Using Terraform with the genesyscloud provider handles this better because it manages state and retries internally. If sticking with JMeter, implement exponential backoff based on the Retry-After header. Also, batching requests into chunks of 50 with a 2-second delay between batches helps avoid hitting the throttle. This approach aligns with best practices for CX as Code deployments.