What’s the best way to handle rate limits when simulating 200 concurrent messaging sessions via the REST API? Running JMeter scripts against /api/v2/conversations/messaging/conversations triggers 429s immediately. The WebSocket connections stay open, but message payloads fail. Are there specific headers or backoff strategies needed for this endpoint under load? Current throughput is capped at 50 req/sec.
Ah, this is a recognized issue with the messaging endpoints under high concurrency. The 429s are often triggered by rapid session creation rather than message throughput. Try staggering the JMeter thread groups with a 200ms delay between initiation bursts to stay within the soft limits.
The official documentation states that while staggering thread groups helps, the real bottleneck is usually how the jmeter script handles the initial handshake. we see this often during our weekly schedule syncs where api calls pile up. instead of just delaying threads, implement a proper retry loop with exponential backoff in the script itself. it’s not just about slowing down; it’s about being polite to the api. here’s a quick snippet that saved us from similar 429 errors during peak load:
long delay = 1000;
for (int i = 0; i < 3; i++) {
try {
// send request
break;
} catch (RateLimitException e) {
Thread.sleep(delay);
delay *= 2;
}
}
this approach respects the rate limits while keeping your test realistic. also, check if you’re reusing auth tokens efficiently. generating new tokens for every session adds unnecessary overhead. keep it simple and let the api breathe.
Cause: Zendesk macros don’t handle WebSocket backoff.
Solution: Add JSR223 PostProcessor for 429 retries.
if (prev.getResponseCode() == "429") {
Thread.sleep(2000);
prev.setRetryTrue();
}
This maps old ticket queues to modern GC flow. Works perfectly for digital channel migration.