<ul><li>Transient failures in downstream systems led to the need for a controlled, scheduled retry mechanism in an Azure integration project.</li><li>The solution involved implementing an auto-healing pattern using Azure Service Bus for scheduling retries and Dead Letter Queue (DLQ) support, along with Azure Functions for message processing.</li><li>The high-level retry flow included incrementing retry count on transient failure, scheduling re-queued messages with a delay, and moving messages to DLQ after reaching the maximum retry limit.</li><li>This approach, which leveraged Azure Service Bus and Azure Functions, provided a serverless, cost-effective, and Azure-native pattern to improve resilience in message processing flows.</li></ul>

Auto-Healing Azure Integrations with Scheduled Retries in Service Bus + Azure Functions

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