Having some config trouble here… when attempting to simulate high-volume agent logins using JMeter. The goal is to test the stability of the WebRTC softphone initialization under concurrent load. Currently, the environment is Genesys Cloud v2024-02 with WebRTC SDK 3.1.0 deployed on Windows 11.
The JMeter script uses HTTP Request samplers to hit POST /api/v2/telephony/users/{userId}/sessions to create active sessions, followed by WebSocket connections to the media edge. At 50 concurrent threads, the system behaves normally. However, increasing the thread count to 100 results in a significant failure rate. Approximately 60% of the WebSocket connections fail to establish a media path. The browser console logs show RTCPeerConnection failed and ICE gathering timeout. The Architect flow does not report any errors, as the failure occurs before the call is offered to the user.
The error pattern suggests that the signaling server is overwhelmed or that there is a resource contention issue with the WebSocket endpoints. The JMeter log shows successful HTTP 200 responses for session creation, but the subsequent WebSocket handshake fails with a 403 Forbidden or simply drops the connection without a clear error code.
Key details:
- Endpoint:
wss://webapi-eu.genesis.com/api/v2/websocket
- JMeter Config: 100 threads, ramp-up 10 seconds, loop count 5.
- User roles: All test users have
telephony:manage and telephony:read permissions.
- Network: Direct connection to EU-West edge.
Has anyone experienced similar issues with WebRTC initialization under load? Is there a specific rate limit on WebSocket connections per user or per org that causes these silent failures? Looking for any configuration changes or JMeter adjustments to mitigate this.
You need to replace the direct HTTP session creation with a proper OAuth token refresh sequence before initiating the WebSocket connection. The Genesys Cloud WebRTC SDK expects a valid, short-lived access token for each session, not just a persistent HTTP cookie or an expired token. In your JMeter script, add a POST /api/v2/oauth/token request with grant_type=refresh_token right before the session creation step.
Coming from Zendesk, this feels like a huge shift. Zendesk’s voice integration was much more forgiving with session persistence, often handling token renewal silently in the background. Genesys Cloud, however, enforces strict OAuth 2.0 compliance for every real-time connection. When you simulate high concurrency, the default token cache in JMeter might be serving stale tokens to multiple virtual users simultaneously, causing the softphone initialization to fail. Ensure each thread group has a unique refresh token or a dedicated token management loop to prevent this collision.
Oh, this is a known issue when ramping up concurrent sessions. The token refresh is critical, but the real bottleneck often hits the WebSocket layer immediately after. Genesys Cloud enforces strict connection limits per user ID to prevent signaling storms. If your JMeter script spawns too many threads with the same user ID, the platform drops the excess connections regardless of valid tokens.
Try adding a jitter of 200-500ms between thread groups to stagger the WebSocket handshake. Also, verify you aren’t hitting the 100 connections per minute rate limit on the signaling endpoint. Check the x-ratelimit-remaining header in your response.
The official docs on rate limiting are here: https://developer.genesys.cloud/documentation/api-docs/webapi/rate-limiting.
For load testing, simulate unique user IDs or use a small pool of rotating tokens. This prevents the platform from flagging your traffic as a DDoS attempt during the initialization phase.
Check your outbound routing configuration for carrier-specific failover thresholds. The suggestion above is valid, but ensure the WebSocket payload includes the correct trunk group ID to avoid signaling conflicts. Use this structure:
{
"trunkGroupId": "apac-primary",
"mediaRegion": "ap-southeast-1"
}