Multi-region high availability for Azure Content Understanding

Fri, 31 Jul 2026 16:00:00 +0100

Azure Content Understanding and Azure OpenAI Service are regional services. A production document-processing workflow often cannot treat a regional endpoint, its model deployments, or its analyzer definitions as a single point of failure. In this post, we discuss a highly available solution built across multiple regions to handle regional failures.

Architecture

Figure 1. Implemented regional stacks and cross-region flows.

The diagram shows two distinct planes: solid lines represent synchronous request traffic, while dashed lines represent asynchronous analyzer reconciliation. This separation addresses two related resilience challenges: routing requests to a healthy Content Understanding backend and keeping analyzer configurations consistent across regions. API Management selects a local-first backend synchronously within each available gateway, while two queue-driven Azure Functions synchronize analyzers asynchronously.

Scale Azure Databricks secure network access to Azure Data Lake Storage

Mon, 11 Dec 2023 18:00:00 +0100

Many organisations store their data in a centralised data lake on Azure Storage accounts. In this post we will look at a solution to scale the secure network access between the centralised data lake storage account and Azure Databricks workspaces VNets.

The recommended approach to achieve a scalable and secure network access to the data lake storage is to use Private Endpoints for the storage accounts.

Architecture on Technology Enlightened

Multi-region high availability for Azure Content Understanding

Architecture

Scale Azure Databricks secure network access to Azure Data Lake Storage