Azure Arc Jumpstart Template for Hybrid Logic Apps Deployment
Today I’m sharing a new Azure Arc Jumpstart template (Jumpstart Drop) that implements a hybrid deployment for Azure Logic Apps (Standard) on Azure Arc-enabled AKS cluster which enables deployment with a single command that sets up a complete, working environment for testing your scenarios. Jumpstart Drop link: Azure Arc Jumpstart Hybrid deployment model allows you to run Logic Apps workloads on your own infrastructure, providing you with the option to host your integration solutions on premises, in a private cloud, or even in a third-party public cloud. You can find more information in this article:Set up your own infrastructure for Standard logic app workflows - Azure Logic Apps | Microsoft Learn Demo video: Given that Hybrid Logic Apps is designed to support mission-critical, enterprise-level integration scenarios, with provision to configure on custom infrastructure across both Azure and Kubernetes environments—the setup can naturally be complex. This Jumpstart template addresses these intricacies by simplifying onboarding and providing an all-in-one script for comprehensive testing and validation. This Jumpstart template deploys the following components and verifies each deployment stage. You can customize each step as per your requirements by modifying the script. An AKS cluster as the Kubernetes substrate for the scenario. Azure Arc enablement for Kubernetes to onboard the cluster into Azure for centralized governance and operations. ACA extension, Custom location and Connected Environment. Azure SQL Server for runtime storage. Azure storage account for SMB artifacts storage. A hybrid logic Apps resource. Getting started : Visit the Jumpstart URL Azure Arc Jumpstart and follow the steps below. Check prerequisites and permissions (see Prerequisites tab). Download the GitHub repo and run the deployment command (see Quick Start tab). After deployment, run test commands to confirm everything works (see Testing tab). Feedback and contributions Jumpstart templates are built for the community and improved with community input. If you try this drop and have suggestions (documentation clarity, additional validation, new scenarios, or fixes), please share feedback through the https://github.com/ShreeDivyaMV/LogicApps_Jumpstart_Templates repository associated with the drop. References: Announcement: General Availability of Logic Apps Hybrid Deployment Model | Microsoft Community Hub Create Standard logic app workflows for hybrid deployment - Azure Logic Apps | Microsoft Learn https://github.com/ShreeDivyaMV/LogicApps_Jumpstart_Templates Azure Arc JumpstartAutomated Test Framework - Missing Tests in Test Explorer
Have your tests created using the Logic Apps Standard Automated Test Framework disappeared from the Test Explorer in VS Code all of a sudden? The answer is a mismatch between the MSTest versions used. A recent update in the C# DevKit extension changed the minimum requirements for the MSTest library - it now requires the minimum of 3.7.*. The project scaffolding created byt the Logic Apps Standard extension uses 3.0.2. The good news is that you can fix this by just changing package versions on your project. Follow the instructions below to have this fixed: Open the .csproj that the extension created (e.g. LogicApps.csproj). Find the ItemGroup containing your package references. It should look like this: <ItemGroup> <PackageReference Include="MSTest" Version="3.2.0"/> <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.8.0"/> <PackageReference Include="MSTest.TestAdapter" Version="3.2.0"/> <PackageReference Include="MSTest.TestFramework" Version="3.2.0"/> <PackageReference Include="Microsoft.Azure.Workflows.WebJobs.Tests.Extension" Version="1.0.0"/> <PackageReference Include="coverlet.collector" Version="3.1.2"/> </ItemGroup> Replace the package references with this new version: <ItemGroup> <PackageReference Include="Microsoft.Azure.Workflows.WebJobs.Tests.Extension" Version="1.*" /> <PackageReference Include="MSTest" Version="4.0.2" /> <PackageReference Include="coverlet.collector" Version="3.2.0" /> </ItemGroup> Once you make this change, restart VSCode window and rebuild your project - Test Explorer will start showing your tests again. Notice that this package reference is simplified as some of the previous references are already in the dependency chain, so don't need to be explicitly added. ℹ️ We are updating our extension to make sure that new projects are being generated with the new values, but you should make those changes manually on existing projects.Logic Apps Aviators Newsletter - February 2026
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month February 2026’s Ace Aviator: Camilla Bielk What's your role and title? What are your responsibilities? I’m a developer and solution architect, working as a consultant (at XLENT) in teams involved across the integration lifecycle—from understanding business needs and building new solutions to operations. Previously I worked a lot with BizTalk and with customers using both Azure and BizTalk. In my current role, I work exclusively with Azure. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? A typical day starts by syncing operational status with the team to ensure everything is running as expected (Logic Apps, Service Bus, Functions, API Management, etc.) and discussing any findings from the previous day. Then I continue with ongoing work, ranging from stakeholder meetings and designing new integration flows to C# development, operations, and maintenance of the existing landscape. I enjoy being involved across the entire chain. Working closely with operational issues provides valuable input into design decisions, and vice versa, which strengthens me as a designer and architect. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The openness to feedback and knowledge sharing from both community developers and the product team motivates me to stay active, continuously learn, and become the best consultant I can be. Passing knowledge to new team members is rewarding and completes the circle. Integration conferences are inspiring - networking with amazing people and discussing the technology we use every day. That’s also why we started the Nordic Integration Summit: to give more people the chance to take part in such an inspiring event. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? Your social skills are more valuable than you might think. Teamwork is everything, and understanding business needs—even from non-technical colleagues—is just as important as technology. Listen to your heart and find environments where you can thrive. Programming languages change over time; the real takeaway is mastering common concepts and patterns and developing the ability to learn continuously. Stay curious and embrace new things as they come! What has helped you grow professionally? 100% of my professional growth comes from working with kind, humble, and collaborative people—teams where knowledge is shared freely in all directions, mistakes are allowed, and learning from them is encouraged. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? Better cost transparency—clearly showing which actions drive costs (executions, retries, data volume, logging) with visibility before production deployment. Design-time guidance that warns about expensive operations, anti-patterns, and inefficient configurations. News from our product group Introducing Unit Test Agent Profiles for Logic Apps & Data Maps Focused unit test agent profiles help Logic Apps Standard teams discover workflows and data maps, write reusable specifications, generate typed mocks/test data, and implement MSTest suites against the Automated Test SDK. The approach promotes spec-first testing, consistent artifacts, and reliable validations across scenarios (happy path, error handling, boundaries). The project demonstrates how GitHub Copilot custom agents and prompts can accelerate unit test authoring while enforcing constraints for maintainability in enterprise integrations. Automated Test Framework - Missing Tests in Test Explorer If Logic Apps Standard tests disappear from VS Code’s Test Explorer, the cause is typically a MSTest version mismatch introduced by a recent C# DevKit update. The fix is to update package references in the project (MSTest, Test SDK, and related dependencies) to supported versions. After adjusting packages and restarting VS Code, tests reappear and run as expected. The extension is being updated, but existing projects should apply the manual changes to restore a stable testing experience. Upcoming Agentic Azure Logic Apps Workshops Free workshops introduce Agentic Business Processes in Azure Logic Apps, including MCP Server integrations and agent loop patterns. Sessions cover connecting the enterprise with MCP Servers from Copilot Studio and building agentic workflows in a day using Logic Apps (Standard). Registration links are provided, with dates set in January. These events help practitioners explore agent tools, orchestration patterns, and practical scenarios for intelligent automation in modern integration landscapes. News from our community Enterprise AI ≠ Copilot Post by Al Ghoniem, MBA Deploying Copilot is not the same as building an enterprise AI strategy. This article distinguishes between adopting a product versus developing a core organizational capability. It explores why many AI rollouts stall when treated as point solutions and outlines what it takes to embed AI as a strategic, scalable function across the enterprise. For leaders evaluating their AI roadmaps, this piece offers a framework for thinking beyond tools toward sustainable transformation. BizTalk Server and WinSCP Error Post by Sandro Pereira A common SFTP adapter issue resurfaces when BizTalk Server cumulative updates are applied. This troubleshooting guide explains why the WinSCPnet assembly fails to load after upgrading from CU5 to CU6 and provides a version compatibility matrix for BizTalk Server 2020. It includes step-by-step instructions to resolve the error by copying the correct WinSCP binaries to the BizTalk installation folder, along with an automated PowerShell script for streamlined remediation. More on finding application registrations used by Logic Apps Post by Mikael Sand Building on earlier work around API connection discovery, this post extends KQL queries to find Logic Apps that authenticate via Client ID and secret in HTTP actions. Using Azure Resource Graph Explorer, the technique scans workflow parameters to identify application registration references. While the approach assumes parameters are used for credentials, it provides a practical method for auditing which Logic Apps depend on a given app registration across subscriptions. MCP Servers in Azure Logic Apps Agent Loops (Step-by-Step) Video by Stephen W. Thomas This walkthrough demonstrates how to move tool logic out of Logic App Agent loops and into reusable Model Context Protocol servers. The video covers setting up an MCP server, registering tools, and invoking them from within an agent workflow. By decoupling tool definitions from orchestration logic, developers can build modular, maintainable agentic systems that scale across multiple workflows and scenarios. From Rigid Choreography to Intelligent Collaboration: Agentic Orchestration as the Evolution of SOA Post by Steef-Jan Wiggers Integration has evolved from rigid, deterministic workflows to adaptive, goal-driven orchestrations powered by intelligent agents. This article traces the journey from BizTalk-era SOA composites to modern agentic patterns, explaining how AI-enabled orchestrators dynamically plan, self-correct, and communicate intent rather than follow fixed sequences. With examples from Azure Logic Apps Agent Loop, it shows how integration professionals can leverage existing connectors and APIs as tools within reasoning-based architectures. Azure Integrations That Actually Work in Production Post by Devarajan Gurusamy Architecture diagrams often look perfect in presentations but fail under real-world conditions. This article examines what it takes to build Azure integrations that survive production workloads, covering resilience patterns, error handling strategies, and operational considerations that separate proof-of-concepts from enterprise-grade solutions. It offers practical guidance for teams moving beyond demos toward reliable, maintainable integration implementations. Configuring BizTalk Server Backup Jobs for Azure Blob Storage Post by Sandro Pereira Modernizing BizTalk infrastructure can start with small, targeted improvements. This guide shows how to redirect native BizTalk backup jobs to Azure Blob Storage using SQL Server’s BACKUP TO URL feature. It covers generating SAS tokens, creating SQL credentials, updating job steps, and validating backups. The approach improves disaster recovery posture with geo-redundant cloud storage while keeping the BizTalk environment unchanged—no new components or custom code required. Building an AI Agent with Logic Apps Consumption and Agent Loop Post by Stephen W. Thomas Logic Apps Consumption with AgentLoop offers a fast path to practical AI agents, particularly for experimentation and low-volume workloads. This post walks through building a stateful poker-playing agent, demonstrating tool orchestration, agent instructions, and execution tracing. It compares Consumption and Standard tiers, explores cost efficiency, and shows how to offload reasoning to external models. At roughly a dollar for 25 runs, it’s an accessible entry point for agentic development. Microsoft Agent Framework Post by Al Ghoniem, MBA Microsoft’s open-source Agent Framework provides a comprehensive toolkit for building, orchestrating, and deploying AI agents in Python and .NET. It features graph-based workflows with streaming and checkpointing, multi-agent patterns, built-in observability via OpenTelemetry, and support for multiple LLM providers. The repository includes quickstart samples, migration guides from Semantic Kernel and AutoGen, and experimental labs for benchmarking and reinforcement learning. Storage Account: You do not have permissions to list the data using your user account with Entra ID Post by Sandro Pereira Being an Owner of an Azure Storage Account does not automatically grant access to its data. This common confusion trips up many developers working with Logic Apps and blob storage. The article explains the distinction between management roles and data-plane permissions, then walks through assigning Storage Blob Data roles via Access Control (IAM) to resolve the “You do not have permissions” error when authenticating with Microsoft Entra ID. Using Office 365 Outlook Connector in Logic Apps Standard Post by Srikanth Gunnala When configuring Office 365 Outlook (V2) with Managed Identity in Logic Apps Standard, the workflow designer may fail to auto-bind existing API connections—even when runtime works correctly. This post details the issue, explaining how a null referenceName in the workflow JSON causes the trigger to appear unbound. The fix involves manually setting the connection reference name in the workflow definition, after which the designer immediately recognizes the connection. Inside Logic Apps Standard: Understanding Compute Units (CU) for Storage Scaling Post by Daniel Jonathan High-volume Logic Apps can hit Azure Storage throttling limits. This deep-dive explains how Compute Units enable horizontal storage scaling by distributing workflow execution data across up to 32 storage accounts. It covers CU routing via Run ID suffixes, table distribution patterns, and configuration via host.json. Understanding this architecture is essential for building monitoring tools, querying run histories programmatically, or troubleshooting performance at scale. E59 - Roles & Personas Video by Sebastian Meyer This episode recaps highlights from SAP TechEd and Microsoft Ignite, with a focus on the SAP Innovation Guide and Logic Apps announcements. It explores roles and personas in the integration space, discussing how different team members contribute to enterprise integration projects. The conversation provides context for practitioners following both SAP and Microsoft ecosystems and offers insights into recent platform developments relevant to hybrid integration scenarios. Architecting Trust: Leveraging Microsoft Foundry to Solve AI Governance Challenges Post by Kent Weare As organizations scale AI deployments, governance becomes critical. This article explores how Microsoft Foundry addresses common AI governance challenges including model management, access controls, auditability, and compliance. It outlines architectural patterns for building trust into AI systems from the ground up and provides guidance for teams navigating the balance between innovation velocity and responsible AI practices in enterprise environments.Introducing Unit Test Agent Profiles for Logic Apps & Data Maps
I did some experimentation this week with GitHub Copilot custom agents and custom prompts. The result was a couple of agents to help with creation of unit tests for Logic Apps Standard workflows and data maps. These agent profiles are designed to keep test artifacts consistent and maintainable by separating discovery, specification, data generation, and implementation. Specifications serve as the single source of truth; generated code and data follow from the specs. Discover: Enumerate workflows/maps, triggers/actions, dependencies, and control flow to build a testability inventory. Spec (Speckit): Write reusable test specifications (intent, inputs/mocks, expected outcomes) stored in a predictable location. Cases: Design scenario catalogs with categories (Happy Path, Error Handling, Boundary Conditions, etc.). Test Data: Generate typed mocks (Logic Apps) or input/expected data files (Data Maps) per scenario. Implement: Produce MSTest code against the Automated Test SDK on net8.0, enforcing strict constraints for reliability. Project Batch: Run operations across all workflows/maps with pre-checks, scaffolding verification, and summary reporting. ℹ️ You can find this project on GitHub: https://github.com/wsilveiranz/logicapps-unittest-custom-agent. This is an example of how those agents can be created using what is available in GitHub Copilot, so feel free to fork it and adjust it to your own requirements. Agent Profiles Available Logic Apps Workflow Unit Test Author Specialist agent for authoring Logic Apps Standard workflow unit tests using MSTest (net8.0) and the Automated Test SDK. Produces spec-first test cases, typed mocks, and runnable MSTest implementations. How It Works Discover workflows: Locate workflow.json, summarize triggers/actions, and identify external dependencies to mock. Spec-first: Write reusable specs capturing intent, mock plan, inputs, and expected outcomes. Create cases: Build scenario catalogs (Happy Path, Error Handling, Boundary Conditions, etc.). Generate test data: Produce typed MockOutput and ActionMock classes instances mapped to action names. This step is optional, as implementation will create test data if not available. Implement tests: Generate MSTest code enforcing SDK constraints and required annotations. Validate: Build and run tests; refine specs and data as needed. Batch (optional): Apply the flow across all workflows once scaffolding is verified. Skill Description Prompt File Discover Workflows Discover workflow definitions, summarize triggers/actions, and produce a mock inventory. .github/prompts/la-unit-tests-discover.prompt.md Create Test Cases Create unit test cases from a workflow definition; define intent, inputs, mock plan, and expected outcomes. .github/prompts/la-unit-tests-create-cases.prompt.md Write Speckit Specs Write and maintain Speckit-style specification documents for reusable scenarios. .github/prompts/la-unit-tests-speckit-specs.prompt.md Implement Tests Implement MSTest unit tests using the Automated Test SDK with enforced constraints. .github/prompts/la-unit-tests-implement.prompt.md Generate Test Data Generate trigger/action mock payloads and typed outputs for success and failure variants. .github/prompts/la-unit-tests-generate-test-data.prompt.md Project Batch Execute project-wide operations with scaffolding verification and roll-up reporting. .github/prompts/la-unit-tests-project-batch.prompt.md Logic Apps Data Map Unit Test Author Specialist agent for authoring Data Map unit tests from LML or XSLT using MSTest (net8.0). Produces spec-first test cases, sample input/expected data, and MSTest implementations. How It Works Discover data maps: Locate Artifacts/MapDefinitions/*.lml and Artifacts/Maps/*.xslt; summarize transformations and schema requirements. Spec-first: Write reusable specs capturing intent, input data, expected output, and validation criteria. Create cases: Build scenario catalogs (Happy Path, Empty/Missing, Boundary Values, Special Characters, Large Data, etc.). Generate test data: Produce representative input files and expected output files aligned to schemas and mapping rules. This step is optional, as implementation will create test data if not available. Implement tests: Generate MSTest classes using DataMapTestExecutor. Validate: Build and run tests; refine specs and data as needed. Batch (optional): Apply the flow across all maps; verify project scaffolding first. Skill Description Prompt File Discover Data Maps Discover LML/XSLT maps and schemas; summarize transformation structure and complexity. .github/prompts/dm-unit-tests-discover.prompt.md Create Test Cases Design scenarios covering happy path, edge cases, and error handling. .github/prompts/dm-unit-tests-create-cases.prompt.md Write Speckit Specs Write and maintain Speckit-style specs with mapping rules and validations. .github/prompts/dm-unit-tests-speckit-specs.prompt.md Implement Tests Implement MSTest suites using DataMapTestExecutor with required defaults. .github/prompts/dm-unit-tests-implement.prompt.md Generate Test Data Generate input and expected output files matched to map rules and schemas. .github/prompts/dm-unit-tests-generate-test-data.prompt.md Project Batch Execute project-wide operations with scaffolding and summary reporting. .github/prompts/dm-unit-tests-project-batch.prompt.md FAQ Why Speckit-style specs? Specs are human-readable contracts that drive consistent test implementation across teams and time. They decouple scenario design from code generation, improving reuse. Can I run batch operations? Yes. Use the project-batch profiles to orchestrate discovery and implementation across all workflows/maps once scaffolding is verified. What if scaffolding is missing? The Implement and Project Batch agents will stop and report the exact folders/files you need to create (via the Logic Apps Designer’s Create Unit Test command or manual steps).
Introducing native Service Bus message publishing from Azure API Management (Preview)
We’re excited to announce a preview capability in Azure API Management (APIM) — you can now send messages directly to Azure Service Bus from your APIs using a built-in policy. This enhancement, currently in public preview, simplifies how you connect your API layer with event-driven and asynchronous systems, helping you build more scalable, resilient, and loosely coupled architectures across your enterprise. Why this matters? Modern applications increasingly rely on asynchronous communication and event-driven designs. With this new integration: Any API hosted in API Management can publish to Service Bus — no SDKs, custom code, or middleware required. Partners, clients, and IoT devices can send data through standard HTTP calls, even if they don’t support AMQP natively. You stay in full control with authentication, throttling, and logging managed centrally in API Management. Your systems scale more smoothly by decoupling front-end requests from backend processing. How it works The new send-service-bus-message policy allows API Management to forward payloads from API calls directly into Service Bus queues or topics. High-level flow A client sends a standard HTTP request to your API endpoint in API Management. The policy executes and sends the payload as a message to Service Bus. Downstream consumers such as Logic Apps, Azure Functions, or microservices process those messages asynchronously. All configurations happen in API Management — no code changes or new infrastructure are required. Getting started You can try it out in minutes: Set up a Service Bus namespace and create a queue or topic. Enable a managed identity (system-assigned or user-assigned) on your API Management instance. Grant the identity the “Service Bus data sender” role in Azure RBAC, scoped to your queue/ topic. Add the policy to your API operation: <send-service-bus-message queue-name="orders"> <payload>@(context.Request.Body.As<string>())</payload> </send-service-bus-message> Once saved, each API call publishes its payload to the Service Bus queue or topic. 📖 Learn more. Common use cases This capability makes it easy to integrate your APIs into event-driven workflows: Order processing – Queue incoming orders for fulfillment or billing. Event notifications – Trigger internal workflows across multiple applications. Telemetry ingestion – Forward IoT or mobile app data to Service Bus for analytics. Partner integrations – Offer REST-based endpoints for external systems while maintaining policy-based control. Each of these scenarios benefits from simplified integration, centralized governance, and improved reliability. Secure and governed by design The integration uses managed identities for secure communication between API Management and Service Bus — no secrets required. You can further apply enterprise-grade controls: Enforce rate limits, quotas, and authorization through APIM policies. Gain API-level logging and tracing for each message sent. Use Service Bus metrics to monitor downstream processing. Together, these tools help you maintain a consistent security posture across your APIs and messaging layer. Build modern, event-driven architectures With this feature, API Management can serve as a bridge to your event-driven backbone. Start small by queuing a single API’s workload, or extend to enterprise-wide event distribution using topics and subscriptions. You’ll reduce architectural complexity while enabling more flexible, scalable, and decoupled application patterns. Learn more: Get the full walkthrough and examples in the documentation 👉 hereAnnouncing the General Availability (GA) of the Premium v2 tier of Azure API Management
Superior capacity, highest entity limits, unlimited included calls, and the most comprehensive set of features set the Premium v2 tier apart from other API Management tiers. Customers rely on the Premium v2 tier for running enterprise-wide API programs at scale, with high availability, and performance. The Premium v2 tier has a new architecture that eliminates management traffic from the customer VNet, making private networking much more secure and easier to setup. During the creation of a Premium v2 instance, you can choose between VNet injection or VNet integration (introduced in the Standard v2 tier) options. In addition, today we are also adding three new features to Premium v2: Inbound Private Link: You can now enable private endpoint connectivity to restrict inbound access to your Premium v2 instance. It can be enabled along with VNet injection or VNet integration or without a VNet. Availability zone support: Premium v2 now supports availability zones (zone redundancy) to enhance the reliability and resilience of your API gateway. Custom CA certificates: Azure API management v2 gateway can now validate TLS connections with the backend service using custom CA certificates. New and improved VNet injection Using VNet injection in Premium v2 no longer requires configuring routes or service endpoints. Customers can secure their API workloads without impacting API Management dependencies, while Microsoft can secure the infrastructure without interfering with customer API workloads. In short, the new VNet injection implementation enables both parties to manage network security and configuration settings independently and without affecting each other. You can now configure your APIs with complete networking flexibility: force tunnel all outbound traffic to on-premises, send all outbound traffic through an NVA, or add a WAF device to monitor all inbound traffic to your API Management Premium v2—all without constraints. Inbound Private Link Customers can now configure an inbound private endpoint for their API Management Premium v2 instance to allow your API consumers securely access the API Management gateway over Azure Private Link. The private endpoint uses an IP address from an Azure virtual network in which it's hosted. Network traffic between a client on your private network and API Management traverses over the virtual network and a Private Link on the Microsoft backbone network, eliminating exposure from the public internet. Further, you can configure custom DNS settings or an Azure DNS private zone to map the API Management hostname to the endpoint's private IP address. With a private endpoint and Private Link, you can: Create multiple Private Link connections to an API Management instance. Use the private endpoint to send inbound traffic on a secure connection. Apply different API Management policies based on whether traffic comes from the private endpoint. Limit incoming traffic only to private endpoints, preventing data exfiltration. Combine with inbound virtual network injection or outbound virtual network integration to provide end-to-end network isolation of your API Management clients and backend services. More details can be found here Today, only the API Management instance’s Gateway endpoint supports inbound private link connections. Each API management instance can support at most 100 Private Link connections. Availability zones Azure API Management Premium v2 now supports Availability Zones (AZ) redundancy to enhance the reliability and resilience of your API gateway. When deploying an API Management instance in an AZ-enabled region, users can choose to enable zone redundancy. This distributes the service's units, including Gateway, management plane, and developer portal, across multiple, physically separate AZs within that region. Learn how to enable AZs here. CA certificates If the API Management Gateway needs to connect to the backends secured with TLS certificates issued by private certificate authorities (CA), you need to configure custom CA certificates in the API Management instance. Custom CA certificates can be added and managed as Authorization Credentials in the Backend entities. The Backend entity has been extended with new properties allowing customers to specify a list of certificate thumbprints or subject name + issuer thumbprint pairs that Gateway should trust when establishing TLS connection with associated backend endpoint. More details can be found here. Region availability The Premium v2 tier is now generally available in six public regions (Australia East, East US2, Germany West Central, Korea Central, Norway East and UK South) with additional regions coming soon. For pricing information and regional availability, please visit the API Management pricing page. Learn more API Management v2 tiers FAQ API Management v2 tiers documentation API Management overview documentationLogic Apps Aviators Newsletter - January 2026
In this issue: Ace Aviator of the Month News from our product group Community Playbook News from our community Ace Aviator of the Month January's Ace Aviator: Sagar Sharma What's your role and title? What are your responsibilities? I’m a cross-domain Business Solution Architect specializing in delivering new business capabilities to customers. I design end-to-end architectures specially on Azure platforms and also in the Integration domain using azure integration services. My role involves marking architectural decisions, defining standards, ensuring platform reliability, guiding teams, and helping organizations transition from legacy integration systems to modern cloud-native patterns. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? My day usually blends architecture work with hands-on collaboration. I review integration designs, refine patterns, help teams troubleshoot integration flows, and ensure deployments run smoothly through DevOps pipelines. A good part of my time is spent translating business needs into integration patterns and making sure the overall platform stays secure, scalable, and maintainable. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community has shaped a big part of my career. Many of my early breakthroughs came from blogs, samples, and talks shared by others. Contributing back feels like closing the loop. I enjoy sharing real-world lessons, learning from peers, and helping others adopt integration patterns with confidence. The energy of the community and the conversations it creates keep me inspired. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? Focus on core concepts—messaging, APIs, security, and distributed systems—because tools evolve, but fundamentals stay relevant. Share your learning early, even if it feels small. Be curious about the “why” behind patterns. Build side projects, not just follow tutorials. And don’t fear a nonlinear career path—diverse experience is an asset in technology. What has helped you grow professionally? Hands-on customer work, strong mentors, and consistent learning habits have been key. Community involvement—writing, speaking, and collaborating—has pushed me to structure my knowledge and stay current. And working in environments that encourage experimentation has helped me develop faster and with more confidence. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? I’d love to see a unified, out-of-the-box business transaction tracing experience across Logic Apps, Service Bus, APIM, Functions, and downstream services. Something that automatically correlates events, visualizes the full journey of a transaction, and simplifies root-cause analysis. This would make operational troubleshooting dramatically easier in enterprise environments. News from our product group Microsoft BizTalk Server Product Lifecycle Update BizTalk Server 2020 will be the final release, with support extending through 2030. Microsoft encourages a gradual transition to Azure Logic Apps, offering migration tooling, hybrid deployment options, and reuse of existing BizTalk artifacts. Customers can modernize at their own pace while maintaining operational continuity. Data Mapper Test Executor: A New Addition to Logic Apps Standard Test Framework The Data Mapper Test Executor adds native support for testing XSLT and Data Mapper transformations directly within the Logic Apps Standard test framework. It streamlines validation, improves feedback cycles, and integrates with the latest SDK to enable reliable, automated testing of map generation and execution. Announcing General Availability of AI & RAG Connectors in Logic Apps (Standard) Logic Apps Standard AI and RAG connectors are now GA333, enabling native document processing, semantic search, embeddings, and agentic workflows. These capabilities let teams build intelligent, context‑aware automations using their own data, reducing complexity and enhancing decisioning across enterprise integrations. Logic Apps Labs The Logic Apps Labs, which introduces Azure Logic Apps agentic workflows learning path, offering guided modules on building conversational and autonomous agents, extending capabilities with MCP tools, and orchestrating multi‑agent workflows. It serves as a starting point for hands‑on labs covering design, deployment, and advanced patterns for intelligent automation. News from our community Handling Empty SQL Query Results in Azure Logic Apps Post by Anitha Eswaran If a SQL stored procedure returns no rows, you can detect the empty result set in Logic Apps by checking whether the output’s ResultSets object is {}. When empty, the workflow can be cleanly terminated or used to trigger alerts, ensuring predictable behavior and more resilient integrations. Azure Logic Apps MCP Server Post by Laveesh Bansal Our own Laveesh Bansal spent some time creating an Azure Logic Apps MCP Server that enables natural‑language debugging, workflow inspection, and updates without using the portal. It supports both Standard and Consumption apps, integrates with AI clients like Copilot and Claude, and offers tools for local or cloud‑hosted setups, testing, and workflow lifecycle operations. Azure Logic Apps: Change Detection in JSON Objects and Arrays Post by Suraj Somani Logic Apps offers native functions to detect changes in JSON objects and arrays without worrying about field or item order. Using equals() for objects and intersection() for arrays, you can determine when data has truly changed and trigger workflows only when updates occur, improving efficiency and reducing unnecessary processing. Logic Apps Standard: A clever hack to use JSON schemas in your Artifacts folder for JSON message validation (Part 1) Post by Şahin Özdemir Şahin outlines a workaround for using JSON schemas stored in the Artifacts folder to validate messages in Logic Apps Standard. It revisits integration needs from BizTalk migrations and shows how to bring structured validation into modern workflows without relying on Integration Accounts. This is a two part series and you can find part two here. Let's integrate SAP with Microsoft Video by Sebastian Meyer Sebastian has a new video out, and in this episode he and Martin Pankraz break down SAP GROW and RISE for Microsoft integration developers, covering key differences and integration options across IDoc, RFC, BAPI, SOAP, HTTPS, and OData, giving a concise overview of today’s SAP landscape and what it means for building integrations on Azure. Logic Apps Initialize variables action has a max limit of 20 variables Post by Sandro Pereira Logic Apps allows only 20 variables per Initialize variables action, and exceeding it triggers a validation error. This limit applies per action, not per workflow. Using objects, parameters, or Compose actions often reduces the need for many scalars and leads to cleaner, more maintainable workflows. Did you know that? It is a Friday Fact!Azure API Management Your Auth Gateway For MCP Servers
The Model Context Protocol (MCP) is quickly becoming the standard for integrating Tools 🛠️ with Agents 🤖 and Azure API Management is at the fore-front, ready to support this open-source protocol 🚀. You may have already encountered discussions about MCP, so let's clarify some key concepts: Model Context Protocol (MCP) is a standardized way, (a protocol), for AI models to interact with external tools, (and either read data or perform actions) and to enrich context for ANY language models. AI Agents/Assistants are autonomous LLM-powered applications with the ability to use tools to connect to external services required to accomplish tasks on behalf of users. Tools are components made available to Agents allowing them to interact with external systems, perform computation, and take actions to achieve specific goals. Azure API Management: As a platform-as-a-service, API Management supports the complete API lifecycle, enabling organizations to create, publish, secure, and analyze APIs with built-in governance, security, analytics, and scalability. New Cool Kid in Town - MCP AI Agents are becoming widely adopted due to enhanced Large Language Model (LLM) capabilities. However, even the most advanced models face limitations due to their isolation from external data. Each new data source requires custom implementations to extract, prepare, and make data accessible for any model(s). - A lot of heavy lifting. Anthropic developed an open-source standard - the Model Context Protocol (MCP), to connect your agents to external data sources such as local data sources (databases or computer files) or remote services (systems available over the internet through e.g. APIs). MCP Hosts: LLM applications such as chat apps or AI assistant in your IDEs (like GitHub Copilot in VS Code) that need to access external capabilities MCP Clients: Protocol clients that maintain 1:1 connections with servers, inside the host application MCP Servers: Lightweight programs that each expose specific capabilities and provide context, tools, and prompts to clients MCP Protocol: Transport layer in the middle At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. Whenever your MCP host or client needs a tool, it is going to connect to the MCP server. The MCP server will then connect to for example a database or an API. MCP hosts and servers will connect with each other through the MCP protocol. You can create your own custom MCP Servers that connect to your or organizational data sources. For a quick start, please visit our GitHub repository to learn how to build a remote MCP server using Azure Functions without authentication: https://aka.ms/mcp-remote Remote vs. Local MCP Servers The MCP standard supports two modes of operation: Remote MCP servers: MCP clients connect to MCP servers over the Internet, establishing a connection using HTTP and Server-Sent Events (SSE), and authorizing the MCP client access to resources on the user's account using OAuth. Local MCP servers: MCP clients connect to MCP servers on the same machine, using stdio as a local transport method. Azure API Management as the AI Auth Gateway Now that we have learned that MCP servers can connect to remote services through an API. The question now rises, how can we expose our remote MCP servers in a secure and scalable way? This is where Azure API Management comes in. A way that we can securely and safely expose tools as MCP servers. Azure API Management provides: Security: AI agents often need to access sensitive data. API Management as a remote MCP proxy safeguards organizational data through authentication and authorization. Scalability: As the number of LLM interactions and external tool integrations grows, API Management ensures the system can handle the load. Security remains to be a critical piece of building MCP servers, as agents will need to securely connect to protected endpoints (tools) to perform certain actions or read protected data. When building remote MCP servers, you need a way to allow users to login (Authenticate) and allow them to grant the MCP client access to resources on their account (Authorization). MCP - Current Authorization Challenges State: 4/10/2025 Recent changes in MCP authorization have sparked significant debate within the community. 🔍 𝗞𝗲𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 with the Authorization Changes: The MCP server is now treated as both a resource server AND an authorization server. This dual role has fundamental implications for MCP server developers and runtime operations. 💡 𝗢𝘂𝗿 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: To address these challenges, we recommend using 𝗔𝘇𝘂𝗿𝗲 𝗔𝗣𝗜 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 as your authorization gateway for remote MCP servers. 🔗For an enterprise-ready solution, please check out our azd up sample repo to learn how to build a remote MCP server using Azure API Management as your authentication gateway: https://aka.ms/mcp-remote-apim-auth The Authorization Flow The workflow involves three core components: the MCP client, the APIM Gateway, and the MCP server, with Microsoft Entra managing authentication (AuthN) and authorization (AuthZ). Using the OAuth protocol, the client starts by calling the APIM Gateway, which redirects the user to Entra for login and consent. Once authenticated, Entra provides an access token to the Gateway, which then exchanges a code with the client to generate an MCP server token. This token allows the client to communicate securely with the server via the Gateway, ensuring user validation and scope verification. Finally, the MCP server establishes a session key for ongoing communication through a dedicated message endpoint. Diagram source: https://aka.ms/mcp-remote-apim-auth-diagram Conclusion Azure API Management (APIM) is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). In this blog, we've emphasized the simplicity of connecting AI agents to various data sources through MCP, streamlining previously complex implementations. Given the critical role of secure access to platforms and services for AI agents, APIM offers robust solutions for managing OAuth tokens and ensuring secure access to protected endpoints, making it an invaluable asset for enterprises, despite the challenges of authentication. API Management: An Enterprise Solution for Securing MCP Servers Azure API Management is an essential tool for enterprise customers looking to integrate AI models with external tools using the Model Context Protocol (MCP). It is designed to help you to securely expose your remote MCP servers. MCP servers are still very new, and as the technology evolves, API Management provides an enterprise-ready solution that will evolve with the latest technology. Stay tuned for further feature announcements soon! Acknowledgments This post and work was made possible thanks to the hard work and dedication of our incredible team. Special thanks to Pranami Jhawar, Julia Kasper, Julia Muiruri, Annaji Sharma Ganti Jack Pa, Chaoyi Yuan and Alex Vieira for their invaluable contributions. Additional Resources MCP Client Server integration with APIM as AI gateway Blog Post: https://aka.ms/remote-mcp-apim-auth-blog Sequence Diagram: https://aka.ms/mcp-remote-apim-auth-diagram APIM lab: https://aka.ms/ai-gateway-lab-mcp-client-auth Python: https://aka.ms/mcp-remote-apim-auth .NET: https://aka.ms/mcp-remote-apim-auth-dotnet On-Behalf-Of Authorization: https://aka.ms/mcp-obo-sample 3rd Party APIs – Backend Auth via Credential Manager: Blog Post: https://aka.ms/remote-mcp-apim-lab-blog APIM lab: https://aka.ms/ai-gateway-lab-mcp YouTube Video: https://aka.ms/ai-gateway-lab-demo🎉 Announcing General Availability of AI & RAG Connectors in Logic Apps (Standard)
We’re excited to share that a comprehensive set of AI and Retrieval-Augmented Generation (RAG) capabilities is now Generally Available in Azure Logic Apps (Standard). This release brings native support for document processing, semantic retrieval, embeddings, and grounded reasoning directly into the Logic Apps workflow engine. 🔌 Available AI Connectors in Logic Apps Standard Logic Apps (Standard) had previously previewed four AI-focused connectors that open the door for a new generation of intelligent automation across the enterprise. Whether you're processing large volumes of documents, enriching operational data with intelligence, or enabling employees to interact with systems using natural language, these connectors provide the foundation for building solutions that are smarter, faster, and more adaptable to business needs. These are now in GA. They allow teams to move from routine workflow automation to AI-assisted decisioning, contextual responses, and multi-step orchestration that reflects real business intent. Below is the full set of built-in connectors and their actions as they appear in the designer. 1. Azure OpenAI Actions Get an embedding Get chat completions Get chat completions using Prompt Template Get completion Get multiple chat completions Get multiple embeddings What this unlocks Bring natural language reasoning and structured AI responses directly into workflows. Common scenarios include guided decisioning, user-facing assistants, classification and routing, or preparing embeddings for semantic search and RAG workflows. 2. Azure AI Search Actions Delete a document Delete multiple documents Get agentic retrieval output (Preview) Index a document Index multiple documents Merge document Search vectors Search vectors with natural language What this unlocks Add vector, hybrid semantic, and natural language search directly to workflow logic. Ideal for retrieving relevant content from enterprise data, powering search-driven workflows, and grounding AI responses with context from your own documents. 3. Azure AI Document Intelligence Action Analyze document What this unlocks Document Intelligence serves as the entry point for document-heavy scenarios. It extracts structured information from PDFs, images, and forms, allowing workflows to validate documents, trigger downstream processes, or feed high-quality data into search and embeddings pipelines. 4. AI Operations Actions Chunk text with metadata Parse document with metadata What this unlocks Transform unstructured files into enriched, structured content. Enables token-aware chunking, page-level metadata, and clean preparation of content for embeddings and semantic search at scale. 🤖 Advanced AI & Agentic Workflows with AgentLoop Logic Apps (Standard) also supports AgentLoop (also Generally Available), allowing AI models to use workflow actions as tools and iterate until the task is complete. Combined with chunking, embeddings, and natural language search, this opens the door to advanced agentic scenarios such as document intelligence agents, RAG-based assistants, and iterative evaluators. Conclusion With these capabilities now built into Logic Apps Standard, teams can bring AI directly into their integration workflows without additional infrastructure or complexity. Whether you’re streamlining document-heavy processes, enabling richer search experiences, or exploring more advanced agentic patterns, these capabilities provide a strong foundation to start building today.Logic Apps Aviators Newsletter - December 2025
In this issue: Ace Aviator of the Month News from our product group Community Playbook News from our community Ace Aviator of the Month December’s Ace Aviator: Daniel Jonathan What's your role and title? What are your responsibilities? I’m an Azure Integration Architect at Cnext, helping organizations modernize and migrate their integrations to Azure Integration Services. I design and build solutions using Logic Apps, Azure Functions, Service Bus, and API Management. I also work on AI solutions using Semantic Kernel and LangChain to bring intelligence into business processes. Can you give us some insights into your day-to-day activities and what a typical day in your role looks like? My day usually begins by attending customer requests and handling recent deployments. Most of my time goes into designing integration patterns, building Logic Apps, mentoring the team, and helping customers with technical solutions. Lately, I’ve also been integrating AI capabilities into workflows. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The community is open, friendly, and full of knowledge. I enjoy sharing ideas, writing posts, and helping others solve real-world challenges. It’s great to learn and grow together. Looking back, what advice do you wish you had been given earlier that you'd now share with those looking to get into STEM/technology? Start small and stay consistent. Learn the basics well—like messaging, retries, and error handling—before diving into complex tools. Keep learning and share what you know. What has helped you grow professionally? Hands-on experience, teamwork, and continuous learning. Working across different projects taught me how to design reliable and scalable systems. Exploring AI with Semantic Kernel and LangChain has also helped me think beyond traditional integrations. If you had a magic wand that could create a feature in Logic Apps, what would it be and why? I’d add an “Overview Page” in Logic Apps containing the HTTP URLs for each workflow, so developers can quickly access to test from one place. It would save time and make working with multiple workflows much easier. News from our product group Logic Apps Community Day 2025 Playlist Did you miss or want to catch up on individual sessions from Logic Apps Community Day 2025? Here is the full playlist – choose your favorite sessions and have fun! The future of integration is here and it's agentic Missed Kent Weare and Divya Swarnkar session at Ignite? It is here for you to watch on demand. Enterprise integration is being reimagined. It’s no longer just about connecting systems, but about enabling adaptive, agentic workflows that unify apps, data, and systems. In this session, discover how to modernize integration, migrate from BizTalk, and adopt AI-driven patterns that deliver agility and intelligence. Through customer stories and live demos, see how to bring these workflows to life with Agent Loop in Azure Logic Apps. Public Preview: Azure Logic Apps Connectors as MCP Tools in Microsoft Foundry Unlock secure enterprise connectivity with Azure Logic Apps connectors as MCP tools in Microsoft Foundry. Agents can now use hundreds of connectors natively—no custom code required. Learn how to configure and register MCP servers for seamless integration. Announcing AI Foundry Agent Service Connector v2 (Preview) AI Foundry Agent Service Connector v2 (Preview) is here! Azure Logic Apps can now securely invoke Foundry agents, enabling low-code AI integration, multi-agent workflows, and faster time-to-value. Explore new operations for orchestration and monitoring. Announcing the General Availability of the XML Parse and Compose Actions in Azure Logic Apps XML Parse and Compose Actions are now GA in Azure Logic Apps! Easily handle XML with XSD schemas, streamline workflows, and support internationalization. Learn best practices for arrays, encoding, and safe transport of content. Clone a Consumption Logic App to a Standard Workflow Clone your Consumption Logic Apps into Standard workflows with ease! This new feature accelerates migration, preserves design, and unlocks advanced capabilities for modern integration solutions. Announcing the HL7 connector for Azure Logic Apps Standard and Hybrid (Public Preview) Connect healthcare systems effortlessly! The new HL7 connector for Azure Logic Apps (Standard & Hybrid) enables secure, standardized data exchange and automation using HL7 protocols—now in Public Preview. Announcing Foundry Control Plane support for Logic Apps Agent Loop (Preview) Foundry Control Plane now supports Logic Apps Agent Loop (Preview)! Manage, govern, and observe agents at scale with built-in integration—no extra steps required. Ensure trust, compliance, and scalability in the agentic era. Announcing General Availability of Agent Loop in Azure Logic Apps Agent Loop transforms Logic Apps into a multi-agent automation platform, enabling AI agents to collaborate with workflows and humans. Build secure, enterprise-ready agentic solutions for business automation at scale. Agent Loop Ignite Update - New Set of AI Features Arrive in Public Preview We are releasing a broad set of Agent Loop new and powerful AI-first capabilities in Public Preview that dramatically expand what developers can build: run agents in the Consumption SKU ,bring your own models through APIM AI Gateway, call any tool through MCP, deploy agents directly into Teams, secure RAG with document-level permissions, onboard with Okta, and build in a completely redesigned workflow designer. Announcing MCP Server Support for Logic Apps Agent Loop Agent Loop in Azure Logic Apps now supports Model Context Protocol (MCP), enabling secure, standardized tool integration. Bring your own MCP connector, use Azure-managed servers, or build custom connectors for enterprise workflows. Enabling API Key Authentication for Logic Apps MCP Servers Logic Apps MCP Servers now support API Key authentication alongside OAuth2 and Anonymous options. Configure keys via host.json or Azure APIs, retrieve and regenerate keys easily, and connect MCP clients securely for agentic workflows. Announcing Public Preview of Agent Loop in Azure Logic Apps Consumption Agent Loop now brings AI-powered automation to Logic Apps Consumption with a frictionless, pay-as-you-go model. Build autonomous and conversational agents using 1,400+ connectors—no dedicated infrastructure required. Ideal for rapid prototyping and enterprise workflows. Moving the Logic Apps Designer Forward Major redesign of Azure Logic Apps designer enters Public Preview for Standard workflows. Phase I focuses on faster onboarding, unified views, draft mode with auto-save, improved search, and enhanced debugging. Feedback will shape future phases for a seamless development experience. Announcing the General Availability of the RabbitMQ Connector RabbitMQ Connector for Azure Logic Apps is now generally available, enabling reliable message exchange for Standard and Hybrid workflows. It supports triggers, publishing, and advanced routing, with global rollout underway for robust, scalable integration scenarios. Duplicate Detection in Logic App Trigger Prevent duplicate processing in Logic Apps triggers with a REST API-based solution. It checks recent runs using clientTrackingId to avoid reprocessing items caused by edits or webhook updates. Works with Logic App Standard and adaptable for Consumption or Power Automate. Announcing the BizTalk Server 2020 Cumulative Update 7 BizTalk Server 2020 Cumulative Update 7 is out, adding support for Visual Studio 2022, Windows Server 2022, SQL Server 2022, and Windows 11. Includes all prior fixes. Upgrade from older versions or consider migrating to Azure Logic Apps for modernization. News from our community Logic Apps Local Development Series Post by Daniel Jonathan Last month I shared an article from Daniel about debugging XSLT in VS Code. This month, I bumped into not one, but five articles in a series about Build, Test and Run Logic Apps Standard locally – definitely worth the read! Working with sessions in Agentic Workflows Post by Simon Stender Build AI-powered chat experiences with session-based agentic workflows in Azure Logic Apps. Learn how they enable dynamic, stateful interactions, integrate with APIs and apps, and avoid common pitfalls like workflows stuck in “running” forever. Integration Love Story with Mimmi Gullberg Video by Ahmed Bayoumy and Robin Wilde Meet Mimmi Gullberg, Green Cargo’s new integration architect driving smarter, sustainable rail logistics. With experience from BizTalk to Azure, she blends tech and business insight to create real value. Her mantra: understand the problem first, then choose the right tools—Logic Apps, Functions, or AI. Integration Love Story with Jenny Andersson Video by Ahmed Bayoumy and Robin Wilde Discover Jenny Andesson’s inspiring journey from skepticism to creativity in tech. In this episode, she shares insights on life as an integration architect, tackling system challenges, listening to customers, and how AI is shaping the future of integration. You Can Get an XPath value in Logic Apps without returning an array Post by Luis Rigueira Working with XML in Azure Logic Apps? The xpath() function always returns an array—even for a single node. Or does it? Found how to return just the values you want on this Friday Fact from Luis Rigueira. Set up Azure Standard Logic App Connectors as MCP Server Video by Srikanth Gunnala Expose your Azure Logic Apps integrations as secure tools for AI assistants. Learn how to turn connectors like SAP, SQL, and Jira into MCP tools, protect them with Entra ID/OAuth, and test in GitHub Copilot Chat for safe, action-ready AI workflows. Making Logic Apps Speak Business Post by Al Ghoniem Stop forcing Logic Apps to look like business diagrams. With Business Process Tracking, you can keep workflows technically sound while giving business users clear, stage-based visibility into processes—decoupled, visual, and KPI-driven.
