Architect Script Data Action 502 Bad Gateway during JMeter load spike

General Discussion
1

Just noticed that the Script Data Action in our Architect flow is failing with a 502 Bad Gateway error when we push the load beyond 500 concurrent sessions. Here is the environment setup:

  • Genesys Cloud Org: Production
  • Load Test Tool: JMeter 5.6.2 running from Singapore (Asia/Singapore)
  • Target Endpoint: /api/v2/analytics/interactions (real-time)
  • Concurrent Threads: 1000
  • Ramp-up Period: 60 seconds

The goal is to validate how the platform handles real-time interaction checks under high concurrency. The first 500 requests complete successfully and return 200 OK. However, once the thread count hits 501, the Script Data Action starts returning 502 errors. The response body is empty, which makes debugging tricky.

I have checked the JMeter logs and confirmed that the WebSocket connections are established correctly before the API call. The issue seems to be specific to the platform_api gateway rejecting the request due to load, rather than a timeout or authentication failure. I am not seeing any 429 rate limit errors, just the 502.

Is there a known limit on how many concurrent Script Data Actions can hit the analytics endpoint before the gateway drops the connection? We are trying to determine if this is a hard limit or if we need to adjust our load test pattern to space out the requests more evenly. Any insights on capacity planning for this specific action would be helpful.

2

This is actually a known issue…

The 502 error indicates infrastructure overload, not flow logic failure. The suggestion above correctly identifies the need to analyze queue activity. Check conversation detail views for dropped interactions. This confirms genuine traffic surges exceeding platform capacity during the JMeter spike.

3

The easiest fix here is this is to stop using the analytics endpoint for real-time logic during high load. That API is designed for historical reporting and has strict rate limits that cause 502 errors under JMeter pressure. Instead, use the Conversation API to fetch data directly within the script action. This reduces latency and bypasses the analytics queue bottleneck. Configure the data action to call /api/v2/conversations/{id} with specific field filters to keep payload size small. This approach aligns better with how recording exports handle bulk metadata, ensuring the chain of custody remains intact without overwhelming the gateway. Check the audit logs for any throttling warnings before running the next spike test. This method provides more reliable data retrieval for active sessions and prevents the infrastructure overload mentioned earlier.