Architect flow timeout during JMeter load test

Architect & Flows
1

Can anyone clarify why my Architect flow fails under load? Running JMeter with 200 concurrent users hits a timeout error. The flow uses a simple IVR menu. Error logs show HTTP 504 Gateway Timeout on the /api/v2/architect/flows endpoint. Config details below:

region: US1
concurrency: 200
flow_type: IVR_Menu
api_version: v2

Is this a known limit for beginner setups?

2

The root of the issue is likely the flow complexity relative to the edge capacity, not just the API endpoint. Coming from Zendesk’s simpler trigger logic, Genesys Cloud Architect flows can bottleneck if nodes aren’t optimized. Try reducing the IVR menu depth.

Requirement Recommendation
Flow Nodes < 10
Voice Actions Async where possible

Simplify first.

3 Likes
3

Check your JMeter thread group settings before assuming it’s an Architect limit. Running 200 concurrent users without proper pacing often triggers platform rate limits rather than flow timeouts.

{
 "thread_group": {
 "ramp_up": 60,
 "loop_count": 1,
 "scheduler": true
 }
}
4

TL;DR: Avoid aggressive bursts.

It depends, but generally the WFM scheduling engine prioritizes data integrity over raw throughput. Aggressive burst patterns from load testing tools often trigger protective throttling. Ensure the OAuth token includes the correct scope, as insufficient permissions can mask throughput issues.

5 
{
 "source": "genesys.cloud.events",
 "topic": "architect.flow.execution",
 "filter": {
 "flow_id": "your_flow_id",
 "event_type": "timeout_error"
 },
 "sink": {
 "type": "kafka",
 "topic": "gc-load-test-logs",
 "batch_size": 100,
 "timeout_ms": 30000
 }
}

The 504 isn’t coming from the /api/v2/architect/flows endpoint. That endpoint is for CRUD operations on the flow definition itself. You’re likely hitting a timeout on the execution side, probably the /api/v2/architect/flows/{id}/execute or the underlying media server connection.

When you hammer 200 concurrent users without pacing, you’re flooding the event bus. If you’re using webhooks to log these events to a data lake, the GC EventBridge can drop events or queue them aggressively if the downstream consumer falls behind. This backpressure can manifest as a timeout on the client side.

Check your Kafka Connect sink configuration. If batch_size is too small and timeout_ms is low, the connector might be timing out trying to push to the broker during the spike. Increase the batch size and add some buffering. Also, make sure your JMeter test has a proper ramp-up. 200 users instantly is a spike, not a load test. The platform will throttle you.

Look at the actual error logs in the Genesys Cloud admin portal. Filter for architect.flow.execution events. You’ll see if it’s a platform-side timeout or a client-side issue. If it’s the latter, check your network configuration and firewall rules. Sometimes, aggressive load testing triggers DDoS protection on the edge.

Also, verify that your flow isn’t doing any heavy lifting in the first few nodes. If you’re pulling data from an external API in the initial setup, that can cause delays. Keep the initial nodes light. Use asynchronous tasks for heavy operations.

One more thing. Make sure your OAuth token has the right scopes. If you’re missing architect:flow:execute, you might get a 403 that gets misinterpreted as a timeout. Double-check the scopes in your token.

1 Like