The Azure Scale Controller is Wilding: Build Your Own Java Fan-Out Orchestrator
If you work with Azure Durable Functions, you likely use the Fan-Out / Fan-In pattern to process data in parallel. In practice, trusting default queue scaling in production often triggers HTTP 429 (Too Many Requests) storms, connection pool exhaustion, and downstream outages.