Having some config trouble here… We are deploying a Premium App via AppFoundry that relies on BYOC edge routing rules. The initial sync completes, but subsequent updates to the edge configuration result in a 500 Internal Server Error on PUT /api/v2/architect/flows. This occurs specifically when the OAuth token refreshes mid-request. Is this a known limitation with edge propagation latency?
Oh, this is a known issue…
The 500 error often happens when the attribute type in the payload does not match the schema. Ensure the OAuth refresh token is explicitly defined in the JSON object.
| Setting | Value |
|---|---|
| Timeout | 30000 ms |
| Retry Count | 3 |
Check the Edge Worker logs for specific validation failures.
This happens because the platform’s strict validation on concurrent write operations during token rotation. When the OAuth token refreshes while a large payload is being processed for edge configuration, the API gateway can drop the connection if the handshake isn’t re-established within the expected window. The 500 error is often a masked timeout or a serialization issue on the server side due to this interruption. It’s not necessarily a bug in the AppFoundry container, but rather a race condition in how the client handles the auth refresh alongside the PUT request.
To mitigate this, implement an exponential backoff strategy with a jitter in your load test script. Instead of retrying immediately, wait for a short random interval before attempting the PUT request again. This allows the edge configuration to fully propagate and the token to stabilize. Here is a sample JMeter BeanShell PreProcessor snippet to handle the dynamic token injection and delay:
// Get the new access token from previous sampler
String newToken = vars.get("access_token");
if (newToken != null) {
// Add jitter to retry delay
long delay = 2000 + (long)(Math.random() * 1000);
Thread.sleep(delay);
sampler.addArgument("Authorization", "Bearer " + newToken);
}
Also, ensure your AppFoundry container has sufficient memory allocated for handling large JSON payloads during the sync. The BYOC edge routing rules can be quite verbose, and if the container runs out of heap space during the deserialization of the updated config, it will throw a 500 error. Monitor the container logs for OutOfMemoryError or GC overhead limit exceeded messages. If you see those, increase the JVM heap size in your deployment manifest. This approach should stabilize the sync process and prevent the intermittent failures you’re seeing during high-concurrency updates.
It’s worth reviewing at the retry logic in your deployment pipeline.
Cause: Token rotation race condition during PUT /api/v2/architect/flows.
Solution: Implement exponential backoff in GitHub Actions.
- name: Retry Edge Sync
uses: nick-fields/retry@v2
with:
max_attempts: 3
timeout_minutes: 5
Prevents 500 errors during OAuth refresh.
Generally speaking, the 500 error indicates a schema mismatch in the flow definition rather than a token rotation race condition. Ensure the AppFoundry deployment script validates the flow JSON against the current Architect API schema before submission.
- Architect Flow Schema Validation
- OAuth Token Refresh Latency
- BYOC Edge Propagation Delays