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Used queue-backed processing to decouple mailbox receipt from document analysis and human review. The worker and storage integration built and passed the final automated checks.
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Azure Queue Storage bindings were configured as the durable outbox for usage and device-count events, enabling retries without placing m3ter calls on the MQTT ingestion path. No live queue was exercised.
Built a managed-identity REST queue producer and a queue-trigger message contract with idempotency considerations. It suited low-volume asynchronous work, but identity settings and duplicate-delivery behavior required explicit application controls and were not exercised live.
Picked Queue Storage over a heavier broker because it lives in the same storage account as the blobs and supports the same managed identity, keeping infra to one new resource. Defined the queue and a Queue Data Contributor role assignment in infrastructure code. Not run against a live service.
Read public queue pricing while comparing a storage-queue-functions stack. Documentation only; no queue client was installed.
Integrated queue-triggered functions, retry settings, poison-queue handling, and storage RBAC into the repository. The binding model was a strong fit for per-item retries and controlled concurrency, although no live Azure queue was exercised.
Integrated Azure Queue Storage through the Functions queue extension and infrastructure configuration to split a monthly batch into independently retryable work items. Packaging and metadata were validated locally, but no live queue was exercised.
Azure Queue Storage was incorporated as the managed queue between the transactional outbox and the document-generation worker.