You’re running agents in the GitHub Copilot app - maybe three at once, each on its own branch, each working a task while you steer. It’s a good way to work, right up until an agent needs to reach out...Update Type: Announcement, Services: , Categories:
updateConnecting streaming workloads to Azure Event Hubs should not require teams to manage shared credentials. Organizations building real-time data solutions need a secure and manageable way to connect streaming workloads to event sources. With workspace identity support for Azure Event Hubs sources in Eventstream, now in preview, customers can use the identity associated with their Fabric workspace to authenticate. Workspace identity support for Azure Event Hubs sources gives Eventstream an identity-based alternative to shared access keys. Eventstream authenticates using the identity associated with the Fabric workspace, while administrators manage access through Azure role-based access control (Azure RBAC). This removes the need to store a connection string containing a shared access key in the Eventstream configuration and aligns the connection with how teams manage access to other Azure resources. Why identity-based authentication matters Azure Event Hubs has traditionally supported shared access key authentication, which requires customers to provide credentials as part of the connection configuration. While this approach is widely used, it also means teams need to manage and maintain those credentials as part of their Eventstream deployments. Many organizations are increasingly adopting identity-based authentication across Azure services to reduce reliance on shared secrets and centralize access management through Microsoft Entra ID and Azure RBAC. Workspace identity brings this model to Azure Event Hubs sources in Eventstream. Instead of storing shared access keys in the Eventstream configuration, customers can grant access directly to the Fabric workspace identity and use it to authenticate to Azure Event Hubs. This simplifies connection management and provides a more streamlined way to configure Azure Event Hubs sources in Eventstream. How workspace identity helps Workspace identity is an automatically managed service associated with a Fabric workspace. It give
previewOperational dashboards often need to answer a direct question: Is this metric healthy, approaching a limit, or already in a critical range? A number alone shows the current value, but it does not always provide the context needed to interpret that value quickly. The new KPI visualization is now generally available in Microsoft Fabric Real-Time Dashboards. It combines a query-based numeric value with a scale, status ranges, formatting options, and reference indicators so you can communicate metric health in a single responsive visual. Choose the right KPI display You can display a KPI in four modes: Number, Bar, Gauge, or Donut. Each mode uses the same underlying value and configuration while supporting a different dashboard layout. Number emphasizes the formatted value and works well in compact layouts. Bar shows progress across a horizontal scale and fits wide or narrow tiles. Gauge presents the value on an arc for operational monitoring. Donut uses a circular layout that works well in square dashboard tiles. You can select the numeric source column returned by your Kusto Query Language (KQL) query. This makes the visual useful for metrics such as CPU usage, latency, error rate, availability, queue size, ingestion delay, orders per minute, or other operational and business measures. Bike-sharing dashboard showing KPI visuals in Number, Bar, Donut, and Gauge modes for available bikes, dock utilization, station occupancy, and bikes in use. Define healthy, warning, and critical ranges The KPI visualization includes a configurable minimum and maximum scale. By default, the scale runs from 0 to 100, but you can adjust it to match the metric you are monitoring. Conditional-formatting ranges add status context to the current value. The default configuration includes OK below 33, Warning from 33, and Danger from 67. You can change the range boundaries, colors, and tag text to match the terminology and operating limits used by your team. You can update a boundary by draggUp
releaseSummarized advertised gateway prefixes for route advertisement is now generally available. You can specify aggregated (summarized) prefixes for an Azure gateway to advertise to your on-premises networks, rather than having every individual virtual network
releaseAI agents are increasingly becoming part of how developers work with data. But generating SQL is only one step in a typical warehousing workflow. Users still need to understand the right objects, run and validate queries, troubleshoot failures, and investigate performance when something goes wrong. Today, agents often either lack the access or the product-specific context needed to help across that full workflow. Model Context Protocol, or MCP, gives agents a standard way to connect to external systems and invoke tools. Agent Skills complement MCP by giving agents reusable, task-specific instructions that guide how they approach and complete work. For Fabric Data Warehouse, we are bringing both together. The Fabric Data Warehouse MCP Server (remote), now in preview, gives agents a governed way to execute SQL queries against the warehouse, while Skills for Fabric give them the Fabric-specific knowledge to use that access effectively. The result is a more connected workflow, where an agent can help users move from writing SQL, to validating it against live data, to troubleshooting and monitoring the warehouse without treating each step as a separate experience. Figure: Fabric Warehouse MCP Server & Skills for Fabric architectureFabric Data Warehouse MCP Server (remote) For an agent to help beyond drafting SQL, it needs a way to work with the actual warehouse. The Fabric Data Warehouse MCP server (remote), now in preview, gives MCP-compatible agents and clients a managed way to connect to Fabric Warehouses and SQL analytics endpoints. Agents can connect in two ways: Global endpoint gives the agent flexibility to work across Fabric Warehouses by providing the workspace and item context as part of the interaction. https://api.fabric.microsoft.com/v1/mcp/dataPlane/sqlEndpoint Item-scoped endpoint binds the connection directly to a specific Fabric Warehouse. https://api.fabric.microsoft.com/v1/mcp/dataPlane/woUpdate Type: Announcement, Services: Microsoft Fabric, Categorie
previewStarting in August 2026, customers can engage directly with Azure Copilot agents to move more quickly from questions to action.With this update:Choose the right agent for your goal. Customers can select the specific agent best suited to their needs and ge
releasePart two of a series on medallion architecture with Fabric Data Warehouse One job per layer — with enough implementation detail to make it real In Part 1 of this series, you picked your pattern. Now, let’s fill in the layers. The single most useful mental model here: each layer has exactly one job. Most medallion messes come from a layer doing another’s work — cleaning data in Bronze or letting business logic creep into Gold. In this post, we’ll look at hose Bronze, Silver, and Gold layers are implemented in Fabric Data Warehouse (DW), the T-SQL patterns commonly used in each layer, and the practices that help keep your architecture maintainable as it grows. We’ll also cover which practices are worth calling out before we move deeper into best practices in Part 3 of this series. Here’s what “one job” means in Fabric DW. Bronze — land it, don’t touch it Bronze has one job: ingest all source data in its original raw form, with no business logic or cleansing applied — “write everything down first” — so you preserve a source-of-truth copy you can always refer back to. In Fabric DW, that usually means staging tables that closely mirror the source structure, placed in a dedicated Bronze schema, such as Bronze.SalesOrdersRaw, to clearly mark them as raw. If the source is a relational extract, the Bronze table often follows the source columns. If the source is semi-structured, keep parsing to the minimum needed to land and trace the data. For loading, Fabric DW supports Data Factory Pipelines, Dataflows, COPY INTO, T-SQL ingestion, OPENROWSET, and Spark-based patterns. A common and efficient path is the T-SQL COPY INTO command to bulk-load files from OneLake or external storage into a DW table. Implementation sketch: CREATE SCHEMA Bronze; CREATE TABLE Bronze.CustomerRaw (CustomerID INT NULL, Name VARCHAR(100) NULL, Email VARCHAR(100) NULL, CreatedDate DATETIME2 NULL, RawFileName VARCHAR(255) NULL ); COPY INTO Bronze.CustomerRaUpdate Type: Announcement, Services: Microsoft F
updateUse ACS to enforce Scope, Anchored Decisions, Flow Integrity, and Escalation while the agent runs, then prove the controls without model variance. Two sign-in failures, two correct outcomes A hel...Update Type: Announcement, Services: Microsoft Foundry, Categories:
updateA pattern to steal, not a product to buy. Your CFO leans over and asks a reasonable question: "How much are we spending on Copilot versus the agents our own team built?" You open the cost report, c...Update Type: Announcement, Services: , Categories:
updateWhat is the Azure SRE Agent Azure SRE Agent is an AI-powered service designed to reduce operational toil. Teams can use it to: Investigate incidents and identify probable causes. Automate hea...Update Type: Announcement, Services: SRE Agent, Categories:
updateWe are proud to announce that what-if for Azure Deployment Stacks is now generally available, in all regions. To be precise about what this is, since the names are similar: what-if for standard tem...Update Type: GA, Services: , Categories:
releaseToday, we are thrilled to announce the General Availability (GA) of Managed Instance on Azure App Service. Following the tremendous response to our Public Preview announcement at Ignite 2025, we've ...Update Type: GA, Services: App Service, Categories:
previewApple developers can now build and test their applications natively on Apple Silicon in Azure Pipelines. New arm64 macOS agents are available in public preview through the pay-as-you-go GitHub-hosted Agents pool. Starting with Apple Silicon, Azure Pipelines is bringing over some of the agent sizes already available in GitHub Actions. The preview includes the following […] The post Apple Silicon and Xcode 27 images available in pay-as-you-go (preview) appeared first on Azure DevOps Blog.Update Type: Announcement, Services: Azure DevOps, Categories:
previewA Successful Demo Is Not a Production Platform Getting GitHub Actions runners working on Azure Kubernetes Service (AKS) with Actions Runner Controller (ARC) is relatively straightforward. Within a ...Update Type: Announcement, Services: Kubernetes Service, Categories:
updateThe browser is becoming a new execution environment Over the last decade, enterprises moved compute from desktops to the cloud. Applications that once depended on individual machines now run on sca...Update Type: Announcement, Services: , Categories:
updateCloud-native platforms are becoming the foundation for AI transformation. Discover how Microsoft's Azure application platform helps organizations modernize, innovate, and operate AI-powered applications at scale. The post Microsoft named a Leader in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms appeared first on Microsoft Azure Blog.
releaseIn May, I introduced the open-source Azure Architecture Diagram Builder as a way to move from a natural-language prompt to an Azure architecture diagram, cost estimate, Well-Architected assessment, a...Update Type: Announcement, Services: Azure Arc, Categories: Features
updateGPT-chat-latest in Microsoft Foundry is built on GPT-5.6 Sol, bringing focused responses, improved factual reliability, and consistent behavior to conversational applications without requiring develo...Update Type: Announcement, Services: Azure AI Services, Microsoft Foundry, Categories:
updateAnnouncing Public Preview of Microsoft Fabric Eventstreams as a native Azure IoT Hub routing endpoint. Customers can now send device telemetry directly into Fabric without building custom integration...Update Type: Announcement, Services: Microsoft Fabric, IoT Hub, Categories:
previewControl plane metrics collection for Azure Kubernetes Service (AKS), powered by Azure Monitor Managed Service for Prometheus, is now generally available.This capability gives AKS customers native observability into key managed control plane components, in
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