Is it possible to configure higher throughput for outbound messaging via Architect without hitting the 429s we see during JMeter spikes in SG staging?
“Standard Digital Messaging endpoints are subject to global rate limiting based on tenant tier.”
Our load tests fail consistently when concurrent sessions exceed 50, even though the API docs suggest scaling is linear. Does the platform enforce hard caps regardless of our enterprise contract?
The way I solve this is by decoupling the Architect flow from direct synchronous API calls. The 429 errors occur because the platform enforces strict tenant-level concurrency caps, regardless of BYOC trunk status. For high-throughput messaging in SG regions, the standard pattern is to use a Queue object in Architect to buffer the messages. Configure the queue with a maximum concurrent sessions limit slightly below the threshold (e.g., 45) to prevent upstream rejection. Then, utilize a Worker Pool with retry logic set to exponential backoff. This approach smooths out the JMeter spikes by processing messages asynchronously. Ensure the message retention policy is set to 24 hours to handle temporary carrier throttling. Direct API calls from Architect are inherently limited by the execution engine’s rate limits. Shifting to a queue-based architecture aligns better with the platform’s design for bulk operations and avoids hitting the hard caps on the Digital Messaging endpoints.
Check your WFM schedule adherence during those JMeter spikes. If agents are marked as “Available” but not taking calls, the platform might throttle digital channels to protect routing efficiency. Aligning the test load with actual published shifts usually stabilizes the throughput.