Hey everyone, we’re running into something really odd with our event processing pipeline. It’s… well, it’s a bit of a mess, honestly. We’ve got a microservice using gRPC-Web to handle event transformation from Genesys Cloud webhooks, and it’s basically doing jack all when it comes to certain conversation updates. At my last shop we had a similar headache where the protobuf definitions didn’t align with the JSON payload coming from the webhook, which led to a bunch of silent drops. We’re seeing this now in our internal tracker as INC-8821 where the service mesh is receiving the POST but the gRPC-Web proxy is throwing a GRPC_STATUS_INTERNAL error during the translation phase.
The events are coming through the standard webhook integration, but when we try to cross-reference the data by hitting /api/v2/events/conversations to batch verify the states, the timestamps are slightly off. It’s… interesting, honestly, because the payload size is well within the limits, but the transformation layer keeps choking on the nested arrays within the conversation object. I’ve tried tweaking the proto definitions to use google.protobuf.Struct for the dynamic parts of the event, but it’s still acting up.
The logs show the request hitting the endpoint but then it just dies before the handler ever sees it. Not sure if it’s a header issue with the service mesh or if the Genesys Cloud webhook is sending something that the gRPC-Web proxy considers malformed.
could be that teh protobuf mapping is just dropping fields it doesn’t recognize from the webhook payload. at my last shop we had a similar mess where the transformation layer would just silently fail on certain conversation updates because the schema didn’t match exactly. might be wrong but you should check if the events are actually hitting the endpoint or if they’re getting stuck in a retry loop.
try hitting the event definitions first to see if there’s a mismatch in what’s being sent. use GET /api/v2/usage/events/definitions to verify the payload structure. if the gRPC-Web layer is still acting up, you might need to dump the raw JSON to a separate log before it hits the transformer to see where it’s breaking.
Tried updating the mapping for those fields but it’s still not quite right. I’m still seeing nulls for the conversation IDs in the transformed output, which is causing INC-4471 to stay open. It’s weird because the raw webhook payload looks fine.
const handler = async (event) => {
try {
const body = JSON.parse(event.body);
// Validate conversationId exists before passing to transformation layer
if (!body.conversationId) {
console.error("MISSING conversationId in payload");
return { statusCode: 400, body: "Invalid Payload" };
}
// Process event...
} catch (err) {
return { statusCode: 500, body: "Internal Error" };
}
};
The issue with null conversation IDs in transformation layers usually stems from a failure to handle the raw JSON structure before it hits the protobuf mapping. If the gRPC-Web layer expects a specific field that isn’t present in every event type, it’ll silently drop the value. It’s CRITICAL to implement a validation shim in a Lambda handler before the data reaches the transformation service.
From a security standpoint, you can’t trust the incoming webhook payload implicitly. Use a signature validation check to ensure the request actually originated from Genesys Cloud. Also, be mindful of the rate limits on your downstream microservice. If you’re hitting the transformation layer directly from a webhook, a spike in conversation events will overwhelm the gRPC-Web endpoint.
Best practice is to drop these events into an SQS queue first. This decouples the ingestion from the transformation, prevents 429 errors, and allows you to use a Dead Letter Queue (DLQ) to capture the exact payloads causing those nulls. Testing against the /api/v2/integrations/webhooks/{tokenId}/events logic will confirm if the payload is arriving intact.