- JMeter 5.6
- Genesys Cloud API v2
- Asia/Singapore region
- 100 concurrent threads
What is the correct way to handle rate limits on /api/v2/predictiverouting/campaigns when ramping up volume? Getting 429 errors immediately after hitting 50 threads per second. Need to know the exact burst limit for this endpoint.
I’d suggest checking out at the pacing controller settings in JMeter rather than just increasing threads. The 429 errors often stem from hitting burst limits on the Singapore edge, which has stricter caps than US regions. Instead of firing 50 requests instantly, stagger them.
Try adding a Throughput Shaping Timer. It controls the exact requests per second. Here is a basic config for the timer:
{
"rate": 20,
"unit": "seconds",
"strategy": "distribute"
}
This forces JMeter to spread the load evenly. The documentation mentions generic limits, but regional edges enforce tighter windows. If you still see 429s, check the Retry-After header in the response. It tells you exactly how many milliseconds to wait. Also, ensure your JMeter script handles the exponential backoff logic correctly. Ignoring the header usually leads to IP throttling. Start with 10 req/s and ramp up slowly to find the sweet spot for your specific account tier.
Pretty sure the predictive routing endpoints are much stricter than the digital channel apis we migrated from. in zendesk, ticket updates were more forgiving with bulk writes, but genesys cloud treats campaign configuration changes differently. the 429s aren’t just about thread count. it’s about the burst window on the edge.
try adding a constant throughput timer in jmeter. set it to 15 requests per second. anything higher and the singapore node drops packets. also check if you are hitting the campaign update limit specifically. sometimes the api docs don’t list the soft caps clearly.
we saw similar issues when moving our omni-channel rules. the key is pacing. don’t blast the api. use a shape timer to smooth the load. it mimics real user behavior better than raw threads. this approach saved us during our migration testing phase. hope it helps with your load test setup.