Announcing General Availability: Azure Logic Apps Standard Custom Code with .NET 8
We’re excited to announce the General Availability (GA) of Custom Code support in Azure Logic Apps Standard with .NET 8. This release marks a significant step forward in enabling developers to build more powerful, flexible, and maintainable integration workflows using familiar .NET tools and practices. With this capability, developers can now embed custom .NET 8 code directly within their Logic Apps Standard workflows. This unlocks advanced logic scenarios, promotes code reuse, and allows seamless integration with existing .NET libraries and services—making it easier than ever to build enterprise-grade solutions on Azure. What’s New in GA This GA release introduces several key enhancements that improve the development experience and expand the capabilities of custom code in Logic Apps: Bring Your Own Packages Developers can now include and manage their own NuGet packages within custom code projects without having to resolve conflicts with the dependencies used by the language worker host. The update includes the ability to load the assembly dependencies of the custom code project into a separate Assembly context allowing you to bring any NET8 compatible dependent assembly versions that your project need. There are only three exceptions to this rule: Microsoft.Extensions.Logging.Abstractions Microsoft.Extensions.DependencyInjection.Abstractions Microsoft.Azure.Functions.Extensions.Workflows.Abstractions Dependency Injection Native Support Custom code now supports native Dependency Injection (DI), enabling better separation of concerns and more testable, maintainable code. This aligns with modern .NET development patterns and simplifies service management within your custom logic. To enable Dependency Injection, developers will need to provide a StartupConfiguration class, defining the list of dependencies: using Microsoft.Azure.Functions.Extensions.Workflows; using Microsoft.Extensions.DependencyInjection; public class StartupConfiguration : IConfigureStartup { /// <summary> /// Configures services for the Azure Functions application. /// </summary> /// <param name="services">The service collection to configure.</param> public void Configure(IServiceCollection services) { // Register the routing service with dependency injection services.AddSingleton<IRoutingService, OrderRoutingService>(); services.AddSingleton<IDiscountService, DiscountService>(); } } You will also need to initialize those register those services during your custom code class constructor: public class MySampleFunction { private readonly ILogger<MySampleFunction> logger; private readonly IRoutingService routingService; private readonly IDiscountService discountService; public MySampleFunction(ILoggerFactory loggerFactory, IRoutingService routingService, IDiscountService discountService) { this.logger = loggerFactory.CreateLogger<MySampleFunction>(); this.routingService = routingService; this.discountService = discountService; } // your function logic here } Improved Authoring Experience The development experience has been significantly enhanced with improved tooling and templates. Whether you're using Visual Studio or Visual Studio Code, you’ll benefit from streamlined scaffolding, local debugging, and deployment workflows that make building and managing custom code faster and more intuitive. The following user experience improvements were added: Local functions metadata are kept between VS Code sessions, so you don't receive validation errors when editing workflows that depend on the local functions. Projects are also built when designer starts, so you don't have to manually update references. New context menu gestures, allowing you to create new local functions or build your functions project directly from the explorer area Unified debugging experience, making it easer for you to debug. We have now a single task for debugging custom code and logic apps, which makes starting a new debug session as easy as pressing F5. Learn More To get started with custom code in Azure Logic Apps Standard, visit the official Microsoft Learn documentation: Create and run custom code in Azure Logic Apps Standard You can also find example code for Dependency injection wsilveiranz/CustomCode-Dependency-Injection
Introducing Skills in Azure API Center
The problem Modern applications depend on more than APIs. A single AI workflow might call an LLM, invoke an MCP tool, integrate a third-party service, and reference a business capability spanning dozens of endpoints. Without a central inventory, these assets become impossible to discover, easy to duplicate, and painful to govern. Azure API Center — part of the Azure API Management platform — already catalogs models, agents, and MCP servers alongside traditional APIs. Skills extend that foundation to cover reusable AI capabilities. What is a Skill? As AI agents become more capable, organizations need a way to define and govern what those agents can actually do. Skills are the answer. A Skill in Azure API Center is a reusable, registered capability that AI agents can discover and consume to extend their functionality. Each skill is backed by source code — typically hosted in a Git repository — and describes what it does, what APIs or MCP servers it can access, and who owns it. Think of skills as the building blocks of AI agent behavior, promoted into a governed inventory alongside your APIs, MCP servers, models, and agents. Example: A "Code Review Skill" performs automated code reviews using static analysis. It is registered in API Center with a Source URL pointing to its GitHub repo, allowed to access your code analysis API, and discoverable by any AI agent in your organization. How Skills work in API Center Skills can be added to your inventory in two ways: registered manually through the Azure portal, or synchronized automatically from a connected Git repository. Both approaches end up in the same governed catalog, discoverable through the API Center portal. Option 1: Register a Skill manually Use the Azure portal to register a skill directly. Navigate to Inventory > Assets in your API center, select + Register an asset > Skill, and fill in the registration form. Figure 2: Register a skill form in the Azure portal. The form captures everything needed to make a skill discoverable and governable: Field Description Title Display name for the skill (e.g. Code Review Skill). Identification Auto-generated URL slug based on the title. Editable. Summary One-line description of what the skill does. Description Full detail on capabilities, use cases, and expected behavior. Lifecycle stage Current state: Design, Preview, Production, or Deprecated. Source URL Git repository URL for the skill source code. Allowed tools The APIs or MCP servers from your inventory this skill is permitted to access. Enforces governance at the capability level. License Licensing terms: MIT, Apache 2.0, Proprietary, etc. Contact information Owner or support contact for the skill. Governance note: The Allowed tools field is key for AI governance. It explicitly defines which APIs and MCP servers a skill can invoke — preventing uncontrolled access and making security review straightforward. Option 2: Sync Skills from a Git repository For teams managing skills in source control, API Center can integrate directly with a Git repository and synchronize skill information automatically. This is the recommended approach for teams practicing GitOps or managing many skills at scale. Figure 3: Integrating a Git repository to sync skills automatically into API Center. When you configure a Git integration, API Center: Creates an Environment representing the repository as a source of skills Scans for files matching the configured pattern (default: **/skill.md) Syncs matching skills into your inventory and keeps them current as the repo changes For private repositories, a Personal Access Token (PAT) stored in Azure Key Vault is used for authentication. API Center's managed identity retrieves the PAT securely — no credentials are stored in the service itself. Tip: Use the Automatically configure managed identity and assign permissions option when setting up the integration if you haven't pre-configured a managed identity. API Center handles the Key Vault permissions automatically. Discovering Skills in your catalog Once registered — manually or via Git — skills appear in the Inventory > Assets page alongside all other asset types. Linked skills (synced from Git) are visually identified with a link icon, so teams can see at a glance which skills are source-controlled. From the API Center portal, developers and other stakeholders can browse the full skill catalog, filter by lifecycle stage or type, and view detailed information about each skill — including its source URL, allowed tools, and contact information. Figure 4: Skills catalog in API Center portal, showing registered skills and the details related to the skill. Developer experience: The API Center portal gives teams a self-service way to discover approved skills without needing to ask around or search GitHub. The catalog becomes the authoritative source of what's available and what's allowed. Why this matters for AI development teams Skills close a critical gap in AI governance. As organizations deploy AI agents, they need to know — and control — what those agents can do. Without a governed skill registry, capability discovery is ad hoc, reuse is low, and security review is difficult. By bringing skills into Azure API Center alongside APIs, MCP servers, models, and agents, teams get: A single inventory for all the assets AI agents depend on Explicit governance over which resources each skill can access via Allowed tools Automated, source-controlled skill registration via Git integration Discoverability for developers and AI systems through the API Center portal Consistent lifecycle management — Design through Production to Deprecated API Center, as part of the Azure API Management platform and the broader AI Gateway vision, is evolving into the system of record for AI-ready development. Skills are the latest step in that direction. Available now Skills are available today in Azure API Center (preview). To register your first skill: Sign in to the Azure portal and navigate to your API Center instance In the sidebar, select Inventory > Assets Select + Register an asset > Skill Fill in the registration form and select Create → Register and discover skills in Azure API Center (docs) → Set up your API Center portal → Explore the Azure API Management platformScaling Logic App Standard for High Throughput Scenarios
In this blog, we will delve into the scaling characteristics of Logic Apps standard and offer valuable insights on designing scalable Logic Apps for high throughput scenarios. This is the first of a blog series dedicated to exploring the scaling aspects of Logic Apps. We also plan to release subsequent blog posts featuring real-world designs and case studies of Logic Apps successfully handling high throughput workloads. Stay tuned for in-depth examples and practical applications!Update To API Management Workspaces Breaking Changes: Built-in Gateway & Tiers Support
What’s changing? If your API Management service uses preview workspaces on the built-in gateway and meets the tier-based limits below, those workspaces will continue to function as-is and will automatically transition to general availability once built-in gateway support is fully announced. API Management tier Limit of workspaces on built-in gateway Premium and Premium v2 Up to 30 workspaces Standard and Standard v2 Up to 5 workspaces Basic and Basic v2 Up to 1 workspace Developer Up to 1 workspace Why this change? We introduced the requirement for workspace gateways to improve reliability and scalability in large, federated API environments. While we continue to recommend workspace gateways, especially for scenarios that require greater scalability, isolation, and long-term flexibility, we understand that many customers have established workflows using the preview workspaces model or need workspaces support in non-Premium tiers. What’s not changing? Other aspects of the workspace-related breaking changes remain in effect. For example, service-level managed identities are not available within workspaces. In addition to workspaces support on the built-in gateway described in the section above, Premium and Premium v2 services will continue to support deploying workspaces with workspace gateways. Resources Workspaces in Azure API Management Original breaking changes announcements Reduced tier availability Requirement for workspace gateways
How to Access a Shared OneDrive Folder in Azure Logic Apps
What is the problem? A common enterprise automation scenario involves copying files from a OneDrive folder shared by a colleague into another storage service such as SharePoint or Azure Blob Storage using Azure Logic Apps. However, when you configure the OneDrive for Business – “List files in folder” action in a Logic App, you quickly run into a limitation: The folder picker only shows: Root directory Subfolders of the authenticated user’s OneDrive Shared folders do not appear at all, even though you can access them in the OneDrive UI This makes it seem like Logic Apps cannot work with shared OneDrive folders—but that’s not entirely true. Why this happens The OneDrive for Business connector is user‑context scoped. It only enumerates folders that belong to the signed-in user’s drive and does not automatically surface folders that are shared with the user. Even though shared folders are visible under “Shared with me” in the OneDrive UI, they: Live in a different drive Have a different driveId Require explicit identification before Logic Apps can access them How to access a shared OneDrive folder There are two supported ways to access a shared OneDrive directory from Logic Apps. Option 1: Use Microsoft Graph APIs (Delegated permissions) You can invoke Microsoft Graph APIs directly using: HTTP with Microsoft Entra ID (preauthorized) Delegated permissions on behalf of the signed‑in user This requires: Admin consent or delegated consent workflows Additional Entra ID configuration 📘 Reference: HTTP with Microsoft Entra ID (preauthorized) - Connectors | Microsoft Learn While powerful, this approach adds setup complexity. Option 2: Use Graph Explorer to configure the OneDrive connector Instead of calling Graph from Logic Apps directly, you can: Use Graph Explorer to discover the shared folder metadata Manually configure the OneDrive action using that metadata Step-by-step: Using Graph Explorer to access a shared folder Scenario A colleague has shared a OneDrive folder named “Test” with me, and I need to process files inside it using a Logic App. Step 1: List shared folders using Microsoft Graph In Graph Explorer, run the following request: GET https://graph.microsoft.com/v1.0/users/{OneDrive shared folder owner username}/drive/root/children 📘Reference: List the contents of a folder - Microsoft Graph v1.0 | Microsoft Learn ✅This returns all root-level folders visible to the signed-in user, including folders shared with you. From the response, locate the shared folder. You only need two values: parentReference.driveId id (folder ID) Graph explorer snippet showing the request sent to the API to list the files & folders shared by a specific user on the root drive Step 2: Configure Logic App “List files in folder” action In your Logic App: Add OneDrive for Business → List files in folder Do not use the folder picker Manually enter the folder value using this format: {driveId}.{folderId} Once saved, the action successfully lists files from the shared OneDrive folder. Step 3: Build the rest of your workflow After the folder is resolved correctly: You can loop through files Copy them to SharePoint Upload them to Azure Blob Storage Apply filters, conditions, or transformations All standard OneDrive actions now work as expected. Troubleshooting: When Graph Explorer doesn’t help If you’re unable to find the driveId or folderId via Graph Explorer, there’s a reliable fallback. Use browser network tracing Open the shared folder in OneDrive (web) Open Browser Developer Tools → Network Look for requests like: & folderId In the response payload, extract: CurrentFolderUniqueId → folder ID drives/{driveId} from the CurrentFolderSpItemUrl This method is very effective when Graph results are incomplete or filtered.Implementing / Migrating the BizTalk Server Aggregator Pattern to Azure Logic Apps Standard
While the article focuses on the migration path from BizTalk Server, the template is equally suited for new (greenfield) implementations any team looking to implement the Aggregator pattern natively in Azure Logic Apps can deploy it directly from the Azure portal without prior BizTalk experience. The template source code is open source and available in the Azure LogicAppsTemplates GitHub repository. For full details on the original BizTalk implementation, see the BizTalk Server Aggregator SDK sample. Why is it important? BizTalk Server End of life has been confirmed and if you have not started your migration to Logic Apps, you should start soon. This is one of many articles in BizTalk Migration. More information can be found here: https://aka.ms/biztalkeolblog. The migration at a glance: BizTalk orchestration vs. Logic Apps workflow The BizTalk SDK implements the pattern through an orchestration (Aggregate.odx) that uses correlation sets, receive shapes, loop constructs, and send pipelines. The Logic Apps Standard template replicates the same logic using a stateful workflow with Azure Service Bus and CorrelationId-based grouping. The BizTalk solution includes: Component Purpose Aggregate.odx Main orchestration that collects correlated messages and executes the send pipeline FFReceivePipeline.btp Receive pipeline with flat file disassembler Invoice.xsd Document schema for invoice messages InvoiceEnvelope.xsd Envelope schema for output interchange PropertySchema.xsd Property schema with promoted properties for correlation XMLAggregatingPipeline.btp Send pipeline to assemble collected messages into XML interchange The Azure Logic Apps Standard implementation The Logic Apps Standard workflow replicates the same Aggregator pattern using a stateful workflow with Azure Service Bus as the message source and CorrelationId-based grouping. The template is publicly available in the Azure portal templates gallery. Figure 2: The “Aggregate messages from Azure Service Bus by CorrelationId” template in the Azure portal templates gallery, published by Microsoft. Receives messages from Service Bus in batches, groups them by CorrelationId, decodes flat files, and responses with the aggregated result via HTTP. Side-by-side comparison: BizTalk Server vs. Azure Logic Apps Understanding how each component maps between platforms is essential for a smooth migration: Concept BizTalk Server (Aggregate.odx) Azure Logic Apps Standard Messaging infrastructure MessageBox database (SQL Server) Azure Service Bus (cloud-native PaaS) Message source Receive Port / Receive Location Service Bus trigger (peekLockQueueMessagesV2) Message decoding Receive Pipeline (Flat File Disassembler) Decode_Flat_File_Invoice action (FlatFileDecoding) Correlation mechanism Correlation Sets on promoted properties (DestinationPartnerURI) CorrelationId from Service Bus message properties Message accumulation Loop shape + Message Assignment shapes ForEach loop + CorrelationGroups dictionary variable Completion condition Loop exit (10 messages or 1-minute timeout) Batch-based: processes all messages in current batch Aggregated message construction Construct Message shape + XMLAggregatingPipeline Build_Aggregated_Messages ForEach + Compose actions Result delivery Send Port (file, HTTP, or other adapter) HTTP Response or any other regarding business need Error handling Exception Handler shapes + SuspendMessage.odx Scope + error handler actions Schema support BizTalk Flat File Schemas (XSD) Same XSD schemas in Artifacts/Schemas folder State management Orchestration dehydration/rehydration Stateful workflow with run history Key architectural differences Aspect BizTalk Server Azure Logic Apps Standard Processing model Convoy pattern (long-running, event-driven) Batch-based (processes N messages per trigger) Scalability BizTalk Host instances (manual scaling) Elastic scale (Azure App Service Plan) Retry logic Adapter-level retries Built-in HTTP retry policy (3 attempts, 10s interval) Architecture Monolithic orchestration Decoupled: aggregation + downstream processing Monitoring BizTalk Admin Console / HAT Azure portal run history + Azure Monitor Schema reuse BizTalk project schemas Direct XSD reuse in Artifacts/Schemas Deployment MSI / BizTalk deployment ARM templates, Azure DevOps, GitHub Actions How the workflow works 1. Trigger: Receive messages from Service Bus The workflow uses the built-in Service Bus trigger to retrieve messages in batches from a non-session queue. This is analogous to BizTalk's Receive Location polling the message source. 2. Process and correlate: Group messages by CorrelationId Each message is processed sequentially (like BizTalk's ordered delivery). The workflow: Extracts the CorrelationId from Service Bus message properties (equivalent to BizTalk's promoted property used in the Correlation Set) Decodes flat file content with zero refactoring using the XSD schema (equivalent to BizTalk's Flat File Disassembler pipeline component) Groups messages into a dictionary keyed by CorrelationId (equivalent to BizTalk's loop + message assignment pattern) 3. Build aggregated output Once all messages in the batch are processed, the workflow constructs a result object for each correlation group containing the CorrelationId, message count and the array of decoded messages. 4. Deliver results The aggregated output is sent to a target workflow via HTTP POST, following a decoupled architecture pattern. This is analogous to BizTalk's Send Port delivering the result to the destination system. You can substitute this action for another endpoint as needed. This, will depend on your business case. Azure Service Bus: The cloud-native replacement for BizTalk’s MessageBox In BizTalk Server, the MessageBox database is the central hub for all message routing, subscription-based delivery, and correlation. It’s the engine that enables patterns like the Aggregator — messages are published to the MessageBox, and the orchestration subscribes to them based on promoted properties and correlation sets. In Azure Logic Apps Standard, there is no MessaeBox equivalent. Instead, Azure Service Bus serves as the cloud-native messaging backbone. Service Bus provides the same publish/subscribe semantics, message correlation (via the built-in CorrelationId property), peek-lock delivery, and reliable queuing — but as a fully managed, elastically scalable PaaS service with no infrastructure to maintain. This is a fundamental shift in architecture: you move from a centralized SQL Server-based message broker (MessageBox) to a distributed, cloud-native messaging service (Service Bus) that scales independently and integrates natively with Logic Apps through the built-in Service Bus connector. Important: Service Bus is not available on-premises. However, RabbitMQ is available to cover these needs, on-premises. RabbitMQ offers a fantastic alternative for customers looking to replicate BizTalk message routing, subscription-based delivery, and correlation. Decode Flat File Invoice: Reuse your BizTalk schemas with zero refactoring One of the biggest concerns during any BizTalk migration is: “What happens to our flat file schemas and message formats?” The workflow template includes a Decode Flat File action (type FlatFileDecoding) that converts positional or delimited flat file content into XML — exactly like BizTalk’s Flat File Disassembler pipeline component. The key advantage: your original BizTalk XSD flat file schemas work as-is. Upload them to the Logic Apps Artifacts/Schemas folder and reference them by name in the workflow — no modifications, no refactoring. This means: Your existing message formats don’t change — upstream and downstream systems continue sending and receiving the same flat file messages Your BizTalk schemas are directly reusable — the same Invoice.xsd from your BizTalk project works seamlessly with the FlatFileDecoding action Migration effort is significantly reduced — no need to redesign schemas, re-validate message structures, or update trading partner agreements Time-to-production is faster — focus on workflow logic and connectivity instead of rewriting message definitions Notice that, if you need to process XML data, as your data might arrive in XML format, use the XML Operations: Validate, Transform, Parse, and Compose XML with schema. You can find more information at Compose XML using Schemas in Standard Workflows - Azure Logic Apps | Microsoft Learn. The message with correlation Id Each message in the Service Bus queue is a flat file invoice the same positional/delimited text format used in the BizTalk SDK sample. Here's an example: INVOICE12345 DestinationPartnerURI:http://www.contoso.com?ID=1E1B9646-48CF-41dd-A0C0-1014B1CE5064 BILLTO,US,John Connor,123 Cedar Street,Mill Valley,CA,90952 101-TT Plastic flowers 10 4.99 Fragile handle with care 202-RR Fertilizer 1 10.99 Lawn fertilizer 453-XS Weed killer 1 5.99 Lawn weed killer The message structure combines positional and delimited fields: Line 1: Invoice identifier (fixed-length record) Line 2: Destination partner URI — in BizTalk, this value is promoted as a context property and used in the Correlation Set to group related messages Line 3: Bill-to header (comma-delimited: country, name, address, city, state, ZIP) Line 4: Line items (positional fields: item code, description, quantity, unit price, notes) Why CorrelationId is essential In BizTalk Server, the orchestration promotes `DestinationPartnerURI` from the message body into a context property and uses it as the Correlation Set to match related messages. This requires a Property Schema, promoted properties, and pipeline configuration. In Azure Logic Apps Standard, correlation is decoupled from the message body. The `CorrelationId` is a native Azure Service Bus message property with a first-class header set by the message producer when sending to the queue. This means: No schema changes needed: the flat file content stays exactly the same No property promotion: Service Bus provides the correlation identifier out of the box Simpler architecture: the workflow reads `CorrelationId` directly from the message metadata, not from the payload Producer flexibility any system sending to Service Bus can set the `CorrelationId` header using standard SDK methods, without modifying the message body This is why the Aggregator pattern maps so naturally to Service Bus: the correlation mechanism that BizTalk implements through promoted properties and correlation sets is already built into the messaging infrastructure. Step-by-step guide: Deploy the template from the Azure portal The “Aggregate messages from Azure Service Bus by CorrelationId” template is publicly available in the Azure Logic Apps Standard templates gallery. Follow these steps to deploy it: Prerequisites Before you begin, make sure you have: An Azure subscription. If you don’t have one, sign up for a free Azure account . An Azure Logic Apps Standard resource deployed in your subscription. If you need to create one, see Create an example Standard logic app workflow . An Azure Service Bus namespace with a non-session queue configured. A flat file XSD schema (for example, Invoice.xsd) ready to upload to the logic app’s Artifacts/Schemas folder. A target workflow with an HTTP trigger to receive the aggregated results (optional, can be created after deployment). Step 1: Open the templates gallery Sign in to the Azure portal. Navigate to your Standard logic app resource. On the logic app sidebar menu, select Workflows. On the logic app sidebar menu, select Workflows. On the Workflows page, select + Create to create a new workflow. In the “Create a new workflow” pane, select Use Template to open the templates gallery and select Create button. Step 2: Find the Aggregator template In the templates gallery, use the search box and type “Aggregate” or “Aggregator”. Optionally, filter by: o Connectors: Select Azure Service Bus o Categories: All Locate the template named “Aggregate messages from Azure Service Bus by CorrelationId”. o The template card shows the labels Workflow and Event as the solution type and trigger type. o The template is published by Microsoft. Step 3: Review the template details Select the template card to open the template overview pane. On the Summary tab, review: o Connections included in this template: Azure Service Bus (in-app connector) o Prerequisites: Requirements for Azure Service Bus, flat file schema, and connection configuration o Details: Description of the Aggregator enterprise integration pattern implementation Source code: Link to the GitHub repository Select the Workflow tab to preview the workflow design that the template creates and when you are ready select Use this template. Step 4: Provide workflow information In the Create a new workflow from template pane, on the Basics tab: o Workflow name: Enter a name for your workflow, for example, wf-aggregator-invoices o State type: Select Stateful (recommended for aggregation scenarios that require run history and reliable processing) Select Next. Step 5: Create connections On the Connections tab, create the Azure Service Bus connection: o Select Connect next to the Service Bus connection. o Provide your Service Bus connection string or select the managed identity authentication option. For managed identity (recommended), make sure your logic app’s managed identity has the Azure Service Bus Data Receiver role on the Service Bus namespace. 2. Select Next. Step 6: Configure parameters On the Parameters tab, provide values for the workflow parameters: Parameter Description Example value Azure Service Bus queue name The queue to monitor for incoming messages invoice-queue Maximum batch size Number of messages per batch (1-100) 10 Flat file schema name XSD schema name in Artifacts/Schemas Invoice.xsd Default CorrelationId Fallback value for messages without CorrelationId NO_CORRELATION_ID Target workflow URL HTTP endpoint of the downstream workflow https://your-logicapp.azurewebsites.net/... Target workflow timeout HTTP call timeout in seconds 60 Enable sequential processing Maintain message order true 2. Select Next. Step 7: Review and create On the Review + create tab, review all the provided information. Select Create. When the deployment completes, select Go to my workflow. Step 8: Upload the flat file schema Navigate to your logic app resource in the Azure portal. On the sidebar menu, under Artifacts, select Schemas. Select + Add and upload your Invoice.xsd. Confirm the schema appears in the list. Notice that: for this scenario we are using the Invoice.xsd schema, you can/must use the schema your scenario needs. Step 9: Verify and test On the workflow sidebar, select Designer to review the created workflow. Verify all actions are configured correctly. Send test messages to your Service Bus queue with different CorrelationId values. Monitor the Run history to verify successful execution and aggregation. For more information on creating workflows from templates, see Create workflows from prebuilt templates in Azure Logic Apps. Conclusion The Aggregator pattern is a cornerstone of enterprise integration, and migrating it from BizTalk Server to Azure Logic Apps Standard doesn’t mean starting from scratch. By using this template, you can: Reuse your existing XSD flat file schemas directly from your BizTalk projects Replace BizTalk Correlation Sets with CorrelationId-based message grouping via Azure Service Bus Deploy in minutes from the Azure portal templates gallery Scale elastically with Azure App Service Plan Monitor with Azure-native tools instead of the BizTalk Admin Console The template is open source and available at: GitHub PR: Azure/LogicAppsTemplates#108 Template name in Azure portal: “Aggregate messages from Azure Service Bus by CorrelationId” Source code: GitHub repository Whether you’re migrating from BizTalk Server or building a new integration solution from scratch, this template gives you a solid, production-ready starting point. I encourage you to try it, customize it for your scenarios, and contribute back to the community. Resources BizTalk Server Aggregator SDK sample Create workflows from prebuilt templates in Azure Logic Apps Create and publish workflow templates for Azure Logic Apps Flat file encoding and decoding in Logic Apps Azure Service Bus connector overview BizTalk to Azure migration guide BizTalk Migration Starter toolLogic Apps Aviators Newsletter - March 2026
In this issue: Ace Aviator of the Month News from our product group News from our community Ace Aviator of the Month March 2026's Ace Aviator: Lilan Sameera What's your role and title? What are your responsibilities? I’m a Senior Consultant at Adaptiv, where I design, build, and support integration solutions across cloud and enterprise systems, translating business requirements into reliable, scalable, and maintainable solutions. I work with Azure Logic Apps, Azure Functions, Azure Service Bus, Azure API Management, Azure Storage, Azure Key Vault, and Azure SQL. Can you give us some insights into your day-to-day activities? Most of my work focuses on designing and delivering reliable, maintainable integration solutions. I spend my time shaping workflows in Logic Apps, deciding how systems should connect, handling errors, and making sure solutions are safe and effective. On a typical day, I might be: - Designing or reviewing integration workflows and message flows - Investigating tricky issues - Working with teams to simplify complex processes - Making decisions about patterns, performance, and long-term maintainability A big part of what I do is thinking ahead, anticipating where things could go wrong, and building solutions that are easy to support and extend. The culture at Adaptiv encourages this approach and makes knowledge sharing across teams easy. What motivates and inspires you to be an active member of the Aviators/Microsoft community? The Microsoft and Logic Apps communities are incredibly generous with knowledge. I’ve learned so much from blogs, GitHub repos, and forum posts. Being part of the Aviators community is my way of giving back, sharing real-world experiences, lessons learned, and practical solutions. Adaptiv encourages people to engage with the community, which makes it easier to contribute and stay involved. Looking back, what advice do you wish you had been given earlier? Don’t wait until you feel like you “know everything” to start building or sharing. You learn the most by doing, breaking things, fixing them, and asking questions. Focus on understanding concepts, not simply tools. Technologies change, fundamentals don’t. Communication matters as well. Being able to explain why something works is just as important as making it work. What has helped you grow professionally? Working on real-world, high-impact projects has been key. Being exposed to different systems, integration patterns, and production challenges has taught me more than any textbook. Supportive teammates, constructive feedback, and a culture that encourages learning and ownership have also been key in my growth. If you had a magic wand that could create a feature in Logic Apps, what would it be? I would love a first-class, visual way to version and diff Logic Apps workflows, like how code changes are tracked in Git. It would make reviews, troubleshooting, and collaboration much easier, notably in complex enterprise integrations, and help teams work more confidently. News from our product group New Azure API management service limits Azure API Management announced updated service limits across classic and v2 tiers to ensure predictable performance on shared infrastructure. The post details new limits for key resources such as API operations, tags, products, subscriptions, and users, along with a rollout schedule: Consumption/Developer/Basic (including v2) from March 15, Standard/Standard v2 from April 15, and Premium/Premium v2 from May 15, 2026. Existing classic services are grandfathered at 10% above observed usage at the time limits take effect. Guidance is provided on managing within limits, evaluating impact, and requesting increases (priority for Standard/Standard v2 and Premium/Premium v2). How to Access a Shared OneDrive Folder in Azure Logic Apps Logic Apps can work with files in a OneDrive folder shared by a colleague, but the OneDrive for Business “List files in folder” action doesn’t show shared folders because it enumerates only the signed‑in user’s drive. The article explains two supported approaches: (1) call Microsoft Graph using HTTP with Microsoft Entra ID (delegated permissions), or (2) use Graph Explorer to discover the shared folder’s driveId and folderId, then manually configure the action with {driveId}:{folderId}. A troubleshooting section shows how to extract these identifiers from browser network traces when Graph Explorer results are incomplete. Stop Writing Plumbing! Use the New Logic Apps MCP Server Wizard A new configuration experience in Logic Apps Standard (Preview) turns an existing logic app into an MCP server with a guided, in‑portal workflow. The wizard centralizes setup for authentication, API keys, server creation, and tool exposure, letting teams convert connectors and workflows into discoverable MCP tools that agents can call. You can generate tools from new connectors or register existing HTTP‑based workflows, choose API key or OAuth (EasyAuth) authentication, and test from agent platforms such as VS Code, Copilot Studio, and Foundry. The post also notes prerequisites and a known OAuth issue mitigated by reapplying EasyAuth settings. Logic Apps Agentic Workflows with SAP - Part 2: AI Agents Part 2 focuses on the AI portion of an SAP–Logic Apps integration. A Logic Apps validation agent retrieves business rules from SharePoint and produces structured outputs—an HTML summary, a CSV of invalid order IDs, and an “invalid rows” CSV—that directly drive downstream actions: email notifications, optional persistence of failed rows as custom IDocs, and filtering before a separate analysis step returns results to SAP. The post explains the agent loop design, tool boundaries (“Get validation rules,” “Get CSV payload,” “Summarize review”), and a two‑model pattern (validation vs. analysis) to keep AI outputs deterministic and workflow‑friendly. Logic Apps Agentic Workflows with SAP - Part 1: Infrastructure Part 1 establishes the infrastructure and contracts for a Logic Apps + SAP pattern that keeps integrations deterministic. A source workflow sends CSV data to SAP, while destination workflows handle validation and downstream processing. The post covers SAP connectivity (RFC/IDoc), the SAP‑side wrapper function, and the core contract elements—IT_CSV for input lines, ANALYSIS for results, EXCEPTIONMSG for human‑readable status, and RETURN (BAPIRET2) for structured success/error. It also details data shaping, error propagation, and email notification paths, with code snippets and diagrams to clarify gateway settings, namespace‑robust XPath extraction, and end‑to‑end flow control. Azure API Management - Unified AI Gateway Design Pattern This customer‑implemented pattern from Uniper uses Azure API Management as a unified AI gateway to normalize requests, enforce authentication and governance, and dynamically route traffic across multiple AI providers and models. Key elements include a single wildcard API, unified auth (API keys/JWT plus managed identity to backends), policy‑based path construction and model‑aware routing, circuit breakers with regional load balancing, token limits and metrics, and centralized logging. Reported outcomes include an 85% reduction in API definitions, faster feature availability, and 99.99% service availability. A GitHub sample shows how to implement the policy‑driven pipeline with modular policy fragments. A BizTalk Migration Tool: From Orchestrations to Logic Apps Workflows The BizTalk Migration Starter is an open‑source toolkit for modernizing BizTalk Server solutions to Azure Logic Apps. It includes tools to convert BizTalk maps (.btm) to Logic Apps Mapping Language (.lml), transform orchestrations (.odx) into Logic Apps workflow JSON, map pipelines to Logic Apps processing patterns, and expose migration tools via an MCP server for AI‑assisted workflows. The post outlines capabilities, core components, and command‑line usage, plus caveats (e.g., scripting functoids may require redesign). A demo video and GitHub repo links are provided for getting started, testing, and extending connector mappings and migration reports. Azure Arc Jumpstart Template for Hybrid Logic Apps Deployment A new Azure Arc Jumpstart “drop” provisions a complete hybrid environment for Logic Apps Standard on an Arc‑enabled AKS cluster with a single command. The deployment script sets up AKS, Arc for Kubernetes, the ACA extension, a custom location and Connected Environment, Azure SQL for runtime storage, an Azure Storage account for SMB artifacts, and a hybrid Logic Apps resource. After deployment, test commands verify each stage. The post links to prerequisites, quick‑start steps, a demo video, and references on hybrid deployment requirements. It invites community feedback and contributions via the associated GitHub repository. News from our community Pro-Code Enterprise AI-Agents using MCP for Low-Code Integration Video by Sebastian Meyer This video demonstrates how Model Context Protocol (MCP) can bridge pro-code and low-code integration by combining Microsoft Agent Framework with Azure Logic Apps. It shows how an autonomous AI agent can be wired into enterprise workflows, using MCP as the glue to connect to systems and trigger actions through Logic Apps. Viewers see how this approach reduces friction between traditional development and low-code automation while enabling consistent orchestration across services. The result is a practical pattern for extending enterprise automation with agent capabilities, improving flexibility without sacrificing control. Logic Apps: Autonomous agent loops - a practical solution for application registration secrets expiration (part 1) Post by Şahin Özdemir Şahin Özdemir describes how a single expired client secret disrupted an integration platform and how Logic Apps autonomous agent loops can prevent recurrence. The solution uses an AI-backed agent loop to call Microsoft Graph, list app registrations, detect secrets expiring within three weeks, and notify stakeholders via email using the Office 365 connector. Prerequisites include a Logic App with a managed identity and an AI model (e.g., via Microsoft Foundry). Clear agent instructions and tool context are emphasized to ensure consistent behavior. The result is a low-effort operational guardrail that replaces complex control-flow logic. From Low-Code to Full Power: When Power Platform Needs Azure with Sofia Platas Video by Ahmed Bayoumy & Robin Wilde Robin Wilde hosts Sofia Platas to explore when Power Platform solutions should extend into Azure. The conversation focuses on adopting an engineering mindset beyond low-code constraints—recognizing when workloads need Azure capabilities for scale, integration, or specialized services. It highlights moving from CRM and Power Platform into Azure and AI, and how pushing boundaries accelerates growth. The episode emphasizes practical decision-making over rigid labels, encouraging builders to reach for Azure when required while retaining the speed of low-code. It’s an insightful discussion about balancing agility with the robustness of cloud-native architecture. Cut Logic Apps Standard Costs by 70% in Dev & POC Azure Environments Post by Daniel Jonathan This article explains a practical cost-saving pattern for Logic Apps Standard in non‑production environments. Because Standard runs on an App Service Plan billed continuously, the author recommends deploying compute only during working hours and tearing it down afterward while retaining the Storage Account. Run history persists in storage, so redeployments reconnect seamlessly. Scripts automate deploy/teardown, with guidance on caveats: avoid removing compute during active runs, recurrence triggers won’t “catch up,” and production should stay always‑on. The post compares Standard versus Consumption and shows how this approach typically yields around 70% savings. Friday Fact: You can reference App Settings inside your Logic Apps Workflows Post by Sandro Pereira Sandro Pereira highlights a simple technique to externalize configuration in Logic Apps Standard by using the appsetting('Key') expression directly in workflow actions. The approach allows storing connection details, flags, and endpoints in App Settings or local.settings.json rather than hardcoding values, improving maintainability and environment portability. He notes the expression may not appear in the editor’s suggestion list but still works when added manually. The post includes a concise “one‑minute brief” and reminders to ensure the keys exist in the chosen configuration source, plus a short video for those who prefer a quick walkthrough. LogicAppWorkbook: Azure Monitor Workbook for Logic Apps Standard (App Insights v1) Post by sujith reddy komma This open-source Azure Monitor workbook provides a focused dashboard for Logic Apps Standard using Application Insights v1 telemetry. It organizes monitoring into Overview and Failures tabs, surfacing KPIs, status distribution, execution trends, and detailed failure grids. The repository includes KQL queries (Queries.md), screenshots, and clear import steps for Azure Workbooks. Notably, it targets the v1 telemetry schema (traces table, FlowRunLastJob) and isn’t compatible with newer v2 telemetry without query adjustments. It’s a useful starting point for teams wanting quick visibility into run health and trends without building dashboards from scratch. Azure Logic Apps - Choosing Between Consumption and Standard Models Post by Manish K. This post shares a primer that compares Logic Apps Consumption and Standard models to help teams choose the right hosting approach. It outlines Standard’s single‑tenant isolation, VNET integration, and better fit for long‑running or high‑throughput workloads, versus Consumption’s multi‑tenant, pay‑per‑action model ideal for short, variable workloads. It highlights migration considerations, limitations, and when each model is cost‑effective. The takeaway: align architecture, networking, and workload patterns to the model’s strengths to avoid surprises in performance, security, and pricing as solutions scale. Logic Apps standard monitoring dashboard – Fix ‘Runs’ tab Post by Integration.team Integration.team describes a fix for Logic Apps Standard where the Application Insights “Runs” tab shows a misconfiguration error and no history. The solution has two parts: ensure host.json sets ApplicationInsights telemetry to v2, and add a hidden tag on the Logic App that links it to the App Insights resource. They provide Bicep snippets for automated deployments and a portal-based alternative during initial creation. After applying both steps, run history populates correctly, restoring visibility in the monitoring dashboard and making troubleshooting more reliable. Using MCP Servers with Azure Logic App Agent Loops Post by Stephen W Thomas Stephen W Thomas explains how exposing Logic Apps as MCP servers simplifies agent loop designs. By moving inline tool logic out of the agent and into MCP-exposed endpoints, tools become reusable, easier to debug, and scoped to only what an agent needs. He discusses limiting accessible tools to control cost and execution time, and outlines a structure for organizing Logic Apps as discrete capabilities. The approach reduces agent complexity while improving maintainability and governance for AI-enabled workflows on Azure. Logic App Best Practices, Tips, and Tricks: #49 The Hidden 32-Character Naming Trap in Logic Apps Standard Post by Sandro Pereira Sandro Pereira explains a subtle but impactful pitfall in Logic Apps Standard tied to the Azure Functions runtime: the host ID is derived from only the first 32 characters of the Logic App name. When multiple Logic App Standard instances share a storage account and have identical leading characters, collisions can cause intermittent deployment and runtime failures. He recommends ensuring uniqueness within the first 32 characters or, in advanced cases, explicitly setting the host ID via AzureFunctionsWebHost__hostid. The article includes naming patterns and practical guidance to avoid hours of troubleshooting.Announcing 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 documentationMicrosoft BizTalk Server Product Lifecycle Update
For more than 25 years, Microsoft BizTalk Server has supported mission-critical integration workloads for organizations around the world. From business process automation and B2B messaging to connectivity across industries such as financial services, healthcare, manufacturing, and government, BizTalk Server has played a foundational role in enterprise integration strategies. To help customers plan confidently for the future, Microsoft is sharing an update to the BizTalk Server product lifecycle and long-term support timelines. BizTalk Server 2020 will be the final version of BizTalk Server. Guidance to support long-term planning for mission-critical workloads This announcement does not change existing support commitments. Customers can continue to rely on BizTalk Server for many years ahead, with a clear and predictable runway to plan modernization at a pace that aligns with their business and regulatory needs. Lifecycle Phase End Date What’s Included Mainstream Support April 11, 2028 Security + non-security updates and Customer Service & Support (CSS) support Extended Support April 9, 2030 CSS support, Security updates, and paid support for fixes (*) End of Support April 10, 2030 No further updates or support (*) Paid Extended Support will be available for BizTalk Server 2020 between April 2028 and April 2030 for customers requiring hotfixes for non-security updates. CSS will continue providing their typical support. BizTalk Server 2016 is already out of mainstream support, and we recommend those customers evaluate a direct modernization path to Azure Logic Apps. Continued Commitment to Enterprise Integration Microsoft remains fully committed to supporting mission-critical integration, including hybrid connectivity, future-ready orchestration, and B2B/EDI modernization. Azure Logic Apps, part of Azure Integration Services — which includes API Management, Service Bus, and Event Grid — delivers the comprehensive integration platform for the next decade of enterprise connectivity. Host Integration Server: Continued Support for Mainframe Workloads Host Integration Server (HIS) has long provided essential connectivity for organizations with mainframe and midrange systems. To ensure continued support for those workloads, Host Integration Server 2028 will ship as a standalone product with its own lifecycle, decoupled from BizTalk Server. This provides customers with more flexibility and a longer planning horizon. Recognizing Mainframe modernization customers might be looking to integrate with their mainframes from Azure, Microsoft provides Logic Apps connectors for mainframe and midrange systems, and we are keen on adding more connectors in this space. Let us know about your HIS plans, and if you require specific features for Mainframe and midranges integration from Logic Apps at: https://aka.ms/lamainframe Azure Logic Apps: The Successor to BizTalk Server Azure Logic Apps, part of Azure Integration Services, is the modern integration platform that carries forward what customers value in BizTalk while unlocking new innovation, scale, and intelligence. With 1,400+ out-of-box connectors supporting enterprise, SaaS, legacy, and mainframe systems, organizations can reuse existing BizTalk maps, schemas, rules, and custom code to accelerate modernization while preserving prior investments including B2B/EDI and healthcare transactions. Logic Apps delivers elastic scalability, enterprise-grade security and compliance, and built-in cost efficiency without the overhead of managing infrastructure. Modern DevOps tooling, Visual Studio Code support, and infrastructure-as-code (ARM/Bicep) ensure consistent, governed deployments with end-to-end observability using Azure Monitor and OpenTelemetry. Modernizing Logic Apps also unlocks agentic business processes, enabling AI-driven routing, predictive insights, and context-aware automation without redesigning existing integrations. Logic Apps adapts to business and regulatory needs, running fully managed in Azure, hybrid via Arc-enabled Kubernetes, or evaluated for air-gapped environments. Throughout this lifecycle transition, customers can continue to rely on the BizTalk investments they have made while moving toward a platform ready for the next decade of integration and AI-driven business. Charting Your Modernization Path Microsoft remains fully committed to supporting customers through this transition. We recognize that BizTalk systems support highly customized and mission-critical business operations. Modernization requires time, planning, and precision. We hope to provide: Proven guidance and recommended design patterns A growing ecosystem of tooling supporting artifact reuse Unified Support engagements for deep migration assistance A strong partner ecosystem specializing in BizTalk modernization Potential incentive programs to help facilitate migration for eligible customers (details forthcoming) Customers can take a phased approach — starting with new workloads while incrementally modernizing existing BizTalk deployments. We’re Here to Help Migration resources are available today: Overview: https://aka.ms/btmig Best practices: https://aka.ms/BizTalkServerMigrationResources Video series: https://aka.ms/btmigvideo Feature request survey: https://aka.ms/logicappsneeds Reactor session: Modernizing BizTalk: Accelerate Migration with Logic Apps - YouTube Migration tool: A BizTalk Migration Tool: From Orchestrations to Logic Apps Workflows | Microsoft Community Hub We encourage customers to engage their Microsoft accounts team early to assess readiness, identify modernization opportunities, and explore assistance programs. Your Modernization Journey Starts Now BizTalk Server has played a foundational role in enterprise integration success for more than two decades. As you plan ahead, Microsoft is here to partner with you every step of the way, ensuring operational continuity today while unlocking innovation tomorrow. To begin your transition, please contact your Microsoft account team or visit our migration hub. Thank you for your continued trust in Microsoft and BizTalk Server. We look forward to partnering closely with you as you plan the future of your integration platforms. Frequently Asked Questions Do I need to migrate now? No. BizTalk Server 2020 is fully supported through April 11, 2028, with paid Extended Support available through April 9, 2030, for non-security hotfixes. CSS will continue providing their typical support. You have a long and predictable runway to plan your transition. Will there be a new BizTalk Server version? No. BizTalk Server 2020 is the final version of the product. What happens after April 9, 2030? BizTalk Server will reach End of Support, and security updates or technical assistance will no longer be provided. Workloads will continue running but without Microsoft servicing. Is paid support available past 2028? Yes. Paid extended support will be available through April 2030 for BizTalk Server 2020 customers looking for non-security hotfixes. CSS will continue to provide the typical support. What about BizTalk Server 2016 or earlier versions? Those versions are already out of mainstream support. We strongly encourage moving directly to Logic Apps rather than upgrading to BizTalk Server 2020. Will Host Integration Server continue? Yes. Host Integration Server (HIS) 2028 will be released as a standalone product with its own lifecycle and support commitments. Can I reuse BizTalk Server artifacts in Logic Apps? Yes. Most of BizTalk maps, schemas, rules, assemblies, and custom code can be reused with minimal effort using Microsoft and partner migration tooling. We welcome feature requests here: https://aka.ms/logicappsneeds Does modernization require moving fully to the cloud? No. Logic Apps supports hybrid deployments for scenarios requiring local processing or regulatory compliance, and fully disconnected environments are under evaluation. More information of the Hybrid deployment model here: https://aka.ms/lahybrid. Does modernization unlock AI capabilities? Yes. Logic Apps enables AI-driven automations through Agent Loop, improving routing, decisioning, and operational intelligence. Where do I get planning support? Your Microsoft account team can assist with assessment and planning. Migration resources are also linked in this announcement to help you get started. Microsoft CorporationHow Credential Manager in API Management can help you manage, store, and control access to your API
We're excited to introduce the rebranding and feature enhancements of Azure API Management's Credential Manager, previously known as Authorizations. In addition, Credential Manager now includes capabilities for user-delegated permissions.
