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. Read more

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. Read more

Overview Whenever I shop online, checking the reviews of the products is a tedious task. Sometimes the low-rated reviews are based on delivery, packaging… whereas a few high-rated reviews might be on cost but not on quality. Generally, reviews/ratings are displayed without any context which results in customers needing additional time and effort to get the most value out of it. Hence, we built this prototype using Azure Open AI to present the consolidated information from all the reviews of a product. Read more

Overview While it’s possible to run the kubernetes nodes either in on-demand or spot node pools separately. We can optimize the application cost without compromising the reliability by placing the pods unevenly on spot and OnDemand VMs using the topology spread constraints. With baseline amount of pods deployed in OnDemand node pool offering reliability we can scale on spot node pool based on the load at a lower cost. In this post, we will go through step by step approach on deploying an application spread unevenly on spot and OnDemand VMs. Read more

Building an URL shortener is much easier now using the Serverless technologies in Azure. In this post, we will discuss about developing this solution. Update: My colleague (Christopher Maneu) pointed out that we could optimize the cost by using Azure Static Web Apps (SWA) for hosting the management console. I updated the design to use SWA and added another API to check what the target URL is for the specific short URL gets resolved without visiting the site. Read more