Is it possible to adjust Predictive Routing dialing ratios dynamically during a JMeter spike test? We are simulating 500 concurrent calls in the US-East region. The system triggers 429 Too Many Requests errors when the ramp-up hits 100 calls per second. The default capacity planning seems too conservative for our validation scenario. Is there an admin config override for the predictive dialer throughput limit?
from the APAC region.
I usually solve this by decoupling the load test traffic from the production predictive routing engine entirely. The 429 errors you are encountering are not a bug but a deliberate safeguard in Genesys Cloud to prevent carrier saturation and ensure quality of service for live agents. The predictive dialer algorithm calculates optimal dialing ratios based on real-time agent availability and historical answer rates. When you inject 500 concurrent simulated calls via JMeter, the system perceives this as an anomalous spike in outbound attempts that exceed the configured concurrency limits for your specific trunk groups or outbound dialing rules. There is no simple admin toggle to bypass this because doing so would violate the service level agreements with your underlying telephony providers, especially if you are using BYOC trunks which often have strict CPS (Calls Per Second) limits defined in the SIP trunk configuration.
To accurately validate your system’s capacity without triggering these rate limits, you should configure a dedicated Outbound Campaign in a non-production environment or use a specific “Test” campaign in production that is explicitly excluded from the main predictive routing pool. Ensure this test campaign has its own distinct Outbound Dialing Rule that points to a separate trunk group with higher concurrency limits, if your carrier allows it. Furthermore, adjust the JMeter script to introduce realistic jitter and adherence to SIP signaling timing rather than sending raw HTTP requests at 100 calls per second. The API endpoints for initiating outbound calls have inherent latency, and flooding them ignores the stateful nature of SIP INVITEs and 100 Trying responses. Consider implementing a gradual ramp-up in JMeter, starting at 10 calls per second and increasing by 5 every 30 seconds, while monitoring the outbound_campaign analytics API for call_attempts vs successful_connections. This approach provides more accurate data on system stability while respecting the platform’s built-in throttling mechanisms designed to protect your SIP trunk registrations.
If I remember right, the 429 errors stem from platform safeguards.
Cause: Predictive Routing caps dialing to protect carrier quality. High-volume JMeter spikes trigger these limits.
Solution: Adjust the dialing ratio in the outbound campaign settings. Reduce concurrent attempts to align with available agent capacity, or isolate the test environment from production queues.
You need to decouple the load generator from the predictive engine. Direct API calls bypass the dialing algorithm.
- Use
POST /api/v2/outbound/callsfor raw injection. - Set
campaignIdto a dedicated test campaign. - Monitor
outbound/campaigns/statsfor saturation.
This avoids 429s from the predictor logic.