WebSocket connection drops during JMeter ramp-up on /api/v2/analytics/events

Can anyone explain why the WebSocket connection to the real-time analytics endpoint keeps dropping when we hit a specific concurrency threshold? We are running a load test from our Singapore office using JMeter 5.6.2 to simulate a spike in agent activity. The setup is pretty standard for our platform API stress tests, but something breaks down around 200 concurrent WebSocket sessions.

The error occurs on the /api/v2/analytics/events endpoint. Initially, the connections establish fine, and we see the expected JSON events flowing in. However, after about 45 seconds of sustained load, the connections start timing out or closing unexpectedly. The JMeter logs show a mix of WebSocket connection closed and occasional 503 Service Unavailable responses from the underlying HTTP upgrade request if we try to reconnect immediately.

Here is the basic JMeter thread group configuration we are using:

thread_group:
 name: "GC WebSocket Load Test"
 number_of_threads: 200
 ramp_up_period: 60
 loop_count: 1
 scheduler: true
 duration: 300
 
websocket_sampler:
 uri: "wss://api.mypurecloud.com/api/v2/analytics/events"
 method: "GET"
 headers:
 Authorization: "Bearer <token>"
 X-Genesys-Organization-Id: "<org_id>"
 Sec-WebSocket-Protocol: "genesys-cloud-v2"

We have verified that the JWT tokens are valid and have not expired during the test. The issue seems to be related to how Genesys Cloud handles the sheer number of simultaneous WebSocket keep-alives. We are not seeing any explicit error codes in the WebSocket close frames, just a silent drop. Is there a hard limit on concurrent WebSocket connections per organization that we are hitting, or is this a rate-limiting issue on the platform_api gateway? We need to understand the ceiling for real-time event streaming before we can finalize our capacity planning for the new site launch next month.

The problem is likely that that you are confusing real-time event streams with the analytics dashboard metrics we rely on for queue performance. the /api/v2/analytics/events endpoint has strict concurrency limits to protect the backend services. when you hit 200 concurrent sessions, the gateway starts dropping connections to prevent overload. this is not a bug but a safeguard.

instead of pushing raw events, check if the aggregated queue_activity metrics meet your testing needs. these are more stable under load. also, verify your retry logic. the documentation suggests implementing exponential backoff rather than immediate reconnection. if you need true real-time data for validation, consider using the conversation detail views which are optimized for lower throughput but higher reliability. do not stress test the event bus directly without checking the rate limits first.