How should I properly to handle 429 rate limit errors when load testing script updates via the Platform API?
I am currently setting up a JMeter 5.6.2 test plan to simulate concurrent updates to Architect scripts. The environment is Genesys Cloud in the Asia/Singapore region. My goal is to understand the throughput limits for script modifications, specifically targeting the endpoint /api/v2/architect/scripts. I have configured a Thread Group with 15 concurrent users, each executing a PUT request to update a specific script’s content. The initial requests succeed with a 200 OK response, but as soon as the second iteration begins, nearly all threads return a 429 Too Many Requests error.
The response body contains {"message": "Rate limit exceeded.", "code": "too_many_requests"}. I noticed the Retry-After header is set to 1 second. My current JMeter setup does not include any pacing or backoff logic; it simply fires requests as fast as the threads allow. I am unsure if this 429 is a global account limit or a per-endpoint limit. I tried adding a Constant Timer with a 1000ms delay between requests, which reduced the error rate, but I want to push the limits further to find the true capacity. Is there a way to programmatically handle the Retry-After header in JMeter to automatically retry failed requests after the specified delay? I am looking for a robust pattern to simulate realistic burst traffic without hitting hard blocks. The test is running from a local machine in Singapore, so latency is minimal. I need to know if I should be implementing a custom JSR223 PostProcessor to parse the header and pause the thread, or if there is a simpler built-in mechanism in JMeter for this scenario. Any guidance on best practices for handling rate limits in load tests for the Platform API would be appreciated.