Yep, this is a known issue…
the 403 here is not a permission error. it is a rate limit on the recording ingestion pipeline. when you hit 500 concurrent streams, the api gateway drops the token validation for performance. the service account has admin rights but the endpoint has a hard cap of 50 rps per org unit.
you need to throttle the jmeter script. do not use constant concurrency. use the concurrent thread group with a ramp-up period.
here is the terraform config to check your recording limits. you might need to request an increase from support if this is production load.
data "genesyscloud_organization_settings" "current" {
organization_id = var.org_id
}
output "recording_rate_limit" {
value = data.genesyscloud_organization_settings.current.recording_max_rps
}
also, check the genesyscloud_recording_media_retention_policy. if the retention is set to “indefinite”, the ingestion queue backs up faster. set it to 30 days for testing.
in jmeter, add a “Constant Throughput Timer”. set it to 2940 (49 requests per minute). this simulates a realistic load without triggering the 403.
<com.thoughtworks.xstream.XStream>
<httpThreadGroup>
<throughput>2940</throughput>
</httpThreadGroup>
</com.thoughtworks.xstream.XStream>
if you still see 403, it is a websocket closure issue. the client is not sending the pong frame. add a keep-alive header in the jmeter http request sampler.
Connection: keep-alive
this usually fixes the drop. if not, check the api logs for 429 Too Many Requests. that is the real error code. the 403 is a misconfiguration in the load balancer.
also, ensure the service account has recordings:read and recordings:write. admin rights do not always inherit these specific scopes in the new rbac model.
check the github actions pipeline for the service account token refresh. if the token expires during the test, you get 403.
use the genesys cloud cli to verify the token.
genesys cloud auth:login --client-id ${CLIENT_ID} --client-secret ${CLIENT_SECRET}
genesys cloud recordings:list --count 5
if this fails, the token is bad. rotate it.
this is a common issue with byoc deployments. the edge nodes do not share the same rate limit pool as the cloud. if you are using byoc, you need to configure the local proxy to handle the burst.
add this to your nginx config.
limit_req_zone $binary_remote_addr zone=recording:10m rate=49r/m;
this should help. if not, open a case with support. they can increase the limit temporarily for testing.