I can’t seem to figure out why my webhook endpoint is crashing and how to properly implement a dead letter queue for the failed events.
Status: 503 Service Unavailable
Endpoint: /api/v2/analytics/events:query
Grant Type: client_credentials
My Python Flask app receives the webhook payload from Genesys Cloud. When the database is temporarily down, my app returns a 503 error. Genesys Cloud retries the request, but my app keeps crashing because it tries to write to the DB again. I want to send these failed payloads to an AWS SQS Dead Letter Queue (DLQ) so I can process them later when the DB is back up.
Here is my current webhook handler:
@app.route('/webhook/gc', methods=['POST'])
def gc_webhook():
payload = request.get_json()
try:
# This crashes if DB is down
db.write_event(payload)
return '', 200
except Exception as e:
# How do I send this to DLQ here?
return '', 500
I read that Genesys Cloud will retry failed webhooks. If I return 200 after sending to DLQ, will Genesys stop retrying? Or do I need to keep returning 500?
Also, how do I configure the DLQ in my code? I am using boto3.
Should I call send_to_dlq in the except block and then return 200? I am confused about the retry logic. If I return 200, Genesys thinks it succeeded. If I return 500, it retries my broken app. I need to break the retry cycle but save the data.
What is the correct HTTP status to return after saving to DLQ? And does the webhook configuration in Genesys Cloud have a setting for max retries that I should change?
Make sure you decouple the ingestion layer from your database write logic. Genesys Cloud expects a 2xx response within 10 seconds. If your Flask app hangs waiting for a DB connection, GC marks it as failed and retries, causing a cascade. You need an asynchronous queue like Redis or RabbitMQ. The webhook endpoint should just push the payload to the queue and immediately return 200 OK.
@app.route('/webhook', methods=['POST'])
def handle_webhook():
try:
payload = request.get_json()
# Push to DLQ or main queue
redis_client.lpush('gc_events', json.dumps(payload))
return '', 200
except Exception as e:
# Log error but still return 200 to stop GC retries
app.logger.error(f"Queue push failed: {e}")
return '', 200
This prevents the 503 loop. If the queue is full, you can push to a specific dlq key for later analysis.
Warning: Do not return 500 or 503 here. Genesys will retry indefinitely until the webhook is disabled or the limit is hit. Always return 200 once the message is safely queued.
This is a classic retry storm. you are right to decouple, but relying solely on redis might be overkill if you just want to capture the failures for later analysis. genesys cloud has built-in dead letter queue (dlq) support via the notification api. instead of handling the 503 logic in flask, configure the webhook subscription to route failures to a secondary endpoint or s3 bucket.
use the /api/v2/notifications/webhooks endpoint. in the json payload, set the deadLetterQueue property. this ensures that after max retries, gc sends the event there, preventing your app from getting hammered.
The decoupling strategy is correct. I implemented a Redis buffer in the Angular service to handle the WebSocket stream backpressure. The platformClient.NotificationsApi events are now pushed to a local queue before persistence.
This prevents the 503 cascade during transient DB outages. The UI remains responsive because the main thread is no longer blocked by synchronous write operations or retry loops.
Confirming this resolves the event loop starvation. The manual cursor handling remains intact for division-based pagination, ensuring no state corruption occurs during high-throughput periods.
The simplest way to resolve this is to return 200 immediately and offload processing. The docs state: “Webhooks must respond within 10 seconds.” Use a background thread for DB writes.