Screen Recording API 429 errors during JMeter load test

Looking for advice on why the Genesys Cloud Screen Recording API (/api/v2/recordings/sessions) starts throwing 429 Too Many Requests errors when we ramp up concurrent requests in our JMeter script. We are simulating a moderate load of 50 concurrent agents generating recording metadata queries, which should be well within the documented rate limits for our tenant size. The environment is Genesys Cloud v22.3, and we are hitting the endpoint every 2 seconds per thread to check for new recording statuses. The 429 responses include a Retry-After header, but the values seem inconsistent, ranging from 1 to 15 seconds, causing our script logic to stall and miss critical recording events.

We have verified that the OAuth tokens are valid and not expiring mid-test. The issue only appears when the concurrent thread count exceeds 40. Below is a snippet of our JMeter HTTP Request sampler configuration. We are using the application/json content type and standard GET requests. Any insights into whether there are hidden per-tenant throttling caps for the recording service specifically, or if our request pattern is triggering a specific gateway rule? We need to accurately model call volume impacts on recording retrieval without getting throttled.

I’d recommend looking at at the retry logic in your JMeter script. The 429 is often a transient rate limit on the metadata endpoint, not a hard block. Add an exponential backoff. Here is a simple HCL snippet for a custom policy if you are managing this via Terraform, though for JMeter, you need a JS pre-processor.

resource "genesyscloud_routing_utilization" "test" {
 # irrelevant but shows structure
}

Focus on the JS. Check for 429 status. Parse Retry-After header. Sleep thread. Then retry. This mimics the SDK behavior. The API enforces strict quotas per tenant edge. 50 concurrent threads hitting every 2 seconds might exceed the burst limit for that specific edge. The documentation suggests spreading requests over time. Use a constant throughput timer in JMeter. Cap it at 10 requests per second total. This prevents the initial spike. The error usually clears if you respect the header. The 429 is a signal to slow down, not a failure.

The quickest way to solve this is to stop treating the metadata endpoint like a real-time status check, as the documentation explicitly warns against high-frequency polling for session lists. The 429 errors are a direct result of exceeding the aggregate query threshold, not a transient glitch.