- Genesys Cloud Version: 24.5.0 (Release 24.5)
- ServiceNow Version: Washington DC
- Integration Method: Genesys Data Action (HTTP Request) → ServiceNow REST API (
api/now/table/u_screen_recording_log)
- Architect Flow: Post-Interaction Cleanup Flow
- Timezone: Europe/London (UTC+0)
Just noticed that our post-interaction workflow is consistently failing when attempting to push screen recording metadata to ServiceNow. The specific failure occurs within the Data Action step titled “Create Incident with Recording URI”. The flow logs indicate a 504 Gateway Timeout returned from the ServiceNow endpoint, despite the Genesys Cloud internal status showing the recording as “completed” and the URI being valid.
The payload being sent includes the recording_uri, agent_id, interaction_id, and duration_seconds. We have verified that the ServiceNow table u_screen_recording_log accepts these fields via direct REST client testing (Postman) with identical headers and authentication tokens. The timeout seems to correlate specifically with interactions lasting longer than 15 minutes, suggesting a potential payload size issue or a threading limitation in the Genesys Data Action execution context rather than a simple network latency problem.
We are referencing the Genesys Cloud documentation on Data Action best practices, which suggests keeping payloads under 10KB. Our current payload is approximately 2.5KB, so size should not be the culprit. However, the recording_uri itself is a signed URL that expires in 24 hours, and we are seeing the timeout occur within milliseconds of the flow reaching the Data Action step.
Has anyone encountered similar timeout behaviors when pushing large metadata sets or signed URLs via Data Actions to external REST APIs? We are considering switching to a queued event pattern using Genesys Event Streams, but we need to understand if this is a known limitation of the synchronous Data Action execution model in the current release. Any insights into debugging the specific HTTP request lifecycle within the Data Action step would be appreciated, as the standard error logging does not provide the full HTTP request/response headers.
You need to check if the ServiceNow endpoint is throttling requests due to concurrent load from your post-interaction flow. The timeout usually stems from the Genesys side waiting for a response that ServiceNow is delaying because of its own processing queue limits. Try adding a retry logic in your Architect flow with exponential backoff, or implement a simple queue buffer using Genesys Flex Queue to smooth out the burst of metadata pushes.
Also, verify the payload size. Screen recording metadata can be bulky. If you are sending raw JSON blobs, the HTTP request might exceed the default timeout threshold before ServiceNow even parses it. Compress the payload or strip unnecessary fields before the API call. This reduces latency and helps stay within the platform’s concurrent API call limits. Check the Genesys logs for specific HTTP 504s to confirm if it’s a network timeout or an application-level stall.
TL;DR: Increase the HTTP timeout in the Data Action configuration.
You might want to look at extending the timeout value from the default 10s to 30s. ServiceNow REST endpoints often take longer to process bulk metadata inserts, causing the Genesys side to abort the connection prematurely.
If you check the docs, they mention that the default timeout for HTTP Data Actions is quite aggressive. Increasing it to 30s helps, but if ServiceNow is under load, it might still drop the connection. From a load testing perspective, I see this often when the target API has its own rate limits or connection pools filling up. The Genesys side doesn’t know about the backend queue, so it just times out. You should check the ServiceNow instance performance metrics during the peak interaction times. If the response time is consistently over 20s, the 30s buffer will be too tight.
Try implementing a retry block in the Architect flow. Set the retry count to 2 with a 5-second delay. This gives ServiceNow a chance to clear its processing queue. Also, verify the payload size. Screen recording metadata can be large if you are sending base64 encoded thumbnails. Compressing the payload or sending only the essential fields via JSON can significantly reduce the processing time on the ServiceNow side. This approach usually stabilizes the flow during high concurrency periods.
check your oauth token refresh logic in the data action. if the token expires during that 30s window, service now returns a 401 which architect might misinterpret as a timeout. ensure your integration handles token rotation automatically.