Could someone explain why my AWS EventBridge rule isn’t catching conversation.end events for a specific Genesys Cloud queue? I’m building a high-throughput gRPC microservice in Asia/Singapore that processes these events. The service mesh integration works fine for generic events, but the filtering logic seems brittle.
I’ve set up a Genesys Cloud webhook to push to EventBridge. The goal is to isolate conversation.end events for Queue ID: 12345. My current rule uses the following pattern match:
{
"source": ["com.genesys.cloud"],
"detail-type": ["Genesys Cloud Event"],
"detail": {
"type": ["conversation.end"],
"resourceType": ["conversation"],
"queueId": ["12345"]
}
}
The problem is that events are still slipping through or being dropped inconsistently. Sometimes the queueId field isn’t present in the top-level detail object as I expected. I’ve verified via Postman that the webhook payload structure changes slightly depending on the conversation context (e.g., if it was a transfer vs. direct answer).
Here’s what I’ve tried so far:
- I’ve inspected the raw JSON payload in CloudWatch Logs and noticed that
queueIdis sometimes nested inside aroutingobject rather than at the root ofdetail. I tried updating the pattern to use"detail.routing.queueId": ["12345"]but EventBridge still fails to match. - I attempted to use a Lambda function to filter the events instead of relying on the rule pattern. This adds latency to my gRPC pipeline, which I want to avoid. I need the filtering to happen at the EventBridge level for performance.
My gRPC service expects a clean stream of protobuf-encoded messages. If I get noise, my transformer logic has to handle null checks for every field, which kills throughput. How do I correctly structure the EventBridge pattern to account for the variable payload structure of conversation.end? I need a reliable way to match the queue without missing events due to schema variations.