Screen Recording API 429 errors during JMeter spike

General Discussion
1

My configuration keeps failing when testing screen recording endpoints under load. pushing 50 concurrent requests to /api/v2/analytics/report-definitions and hitting 429s instantly. jmeter setup is standard. steps:

  1. create report definition via api
  2. trigger recording start
  3. loop 50 times
    is this a known limit for screen recording or just general api throttling? need to validate capacity.
2

The problem here is hitting the generic API rate limit, not a specific screen recording cap. Genesys Cloud enforces a global request limit per tenant, usually around 100-200 requests per minute for standard analytics endpoints. Pushing 50 concurrent requests to create report definitions triggers this immediately.

429 Too Many Requests
Retry-After: 10

You need to adjust your JMeter Thread Group settings. Set the Loop Count to 1 and use a Concurrency Thread Group plugin to ramp up gradually, or add a constant timer of 1000ms between iterations. This spreads the load. Also, check if you can reuse existing report definitions instead of creating them on every loop. Creating resources is expensive. If you must create them, stagger the requests. A simple fix is to reduce concurrency to 5 threads and increase the loop count, adding a delay. This mimics real user behavior and avoids the 429. The system handles steady streams better than spikes.

3

I normally fix this by implementing exponential backoff logic within the JMeter loop. The standard retry-after header is often too aggressive for bulk export jobs. Check the official docs here: https://developer.genesys.cloud/api-docs/analytics/report-definitions. This prevents immediate 429s during discovery audits.

4

TL;DR: Zendesk lacks these strict API gates, so GC’s throttling feels abrupt during migration. If I remember correctly, the 429 hits global tenant limits, not just screen recording. Implement exponential backoff in your JMeter loop to respect the Retry-After header. This aligns with standard GC migration practices for bulk data operations.

5

How I usually solve this is by implementing a custom JMeter JSR223 listener to parse the Retry-After header and pause the thread, rather than relying on fixed delays.

{
 "retry_logic": "jsr223",
 "header_key": "Retry-After",
 "action": "sleep_ms",
 "fallback_ms": 1000
}