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 documentationStreamline Azure NetApp Files Management—Right from Your IDE
The Azure NetApp Files VS Code Extension is designed to streamline storage provisioning and management directly within the developer’s IDE. Traditional workflows often require extensive portal navigation, manual configuration, and policy management, leading to inefficiencies and context switching. The extension addresses these challenges by enabling AI-powered automation through natural language commands, reducing provisioning time from hours to minutes while minimizing errors and improving compliance. Key capabilities include generating production-ready ARM templates, validating resources, and delivering optimization insights—all without leaving the coding environment.How Azure NetApp Files Object REST API powers Azure and ISV Data and AI services – on YOUR data
This article introduces the Azure NetApp Files Object REST API, a transformative solution for enterprises seeking seamless, real-time integration between their data and Azure's advanced analytics and AI services. By enabling direct, secure access to enterprise data—without costly transfers or duplication—the Object REST API accelerates innovation, streamlines workflows, and enhances operational efficiency. With S3-compatible object storage support, it empowers organizations to make faster, data-driven decisions while maintaining compliance and data security. Discover how this new capability unlocks business potential and drives a new era of productivity in the cloud.Accelerating HPC and EDA with Powerful Azure NetApp Files Enhancements
High-Performance Computing (HPC) and Electronic Design Automation (EDA) workloads demand uncompromising performance, scalability, and resilience. Whether you're managing petabyte-scale datasets or running compute intensive simulations, Azure NetApp Files delivers the agility and reliability needed to innovate without limits.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.Typical Storage access issues troubleshooting
We get a big number of cases with Storage Account connection failing and sometimes we see that our customers are not aware of the troubleshooting steps they can take to accelerate the resolution of this issue. As such, we've compiled some scenarios and the usual troubleshooting steps we ask you to take. Always remember that if you have done changes to your infrastructure, consider rolling them back to ensure that this is not the root cause. Even a small change that apparently has no effect, may cause downtime on your application. Common messages The errors that are shown in the portal when the Storage Account connectivity is down are very similar, and they may not indicate correctly the cause. Error Message that surfaces in the Portal for Logic Apps Standard System.Private.Core.Lib: Access to the path 'C:\home\site\wwwroot\host.json' is denied Cannot reach host runtime. Error details, Code: 'BadRequest', Message: 'Encountered an error (InternalServerError) from host runtime.' System.Private.CoreLib: The format of the specified network name is invalid. : 'C:\\home\\site\\wwwroot\\host.json'.' System.Private.CoreLib: The user name or password is incorrect. : 'C:\home\site\wwwroot\host.json'. Microsoft.Windows.Azure.ResourceStack: The SSL connection could not be established, see inner exception. System.Net.Http: The SSL connection could not be established, see inner exception. System.Net.Security: Authentication failed because the remote party has closed the transport stream Unexpected error occurred while loading workflow content and artifacts The errors don't really indicate what the root cause is, but it's very common to be a broken connection with the Storage. What to verify? There are 4 major components to verify in these cases: Logic App environment variables and network settings Storage Account networking settings Network settings DNS settings Logic App environment variables and Network From an App Settings point of view, there is not much to verify, but these are important steps, that sometimes are overlook. At this time, all or nearly all Logic Apps have been migrated to dotnet Functions_Worker_Runtime (under Environmental Variables tab), but this is good to confirm. It's also good to confirm if your Platform setting is set to 64 bits (under Configuration tab/ General Settings). We've seen that some deployments are using old templates and setting this as 32 bits, which doesn't make full use of the available resources. Check if Logic App has the following environment variables with value: WEBSITE_CONTENTOVERVNET - set to 1 OR WEBSITE_VNET_ROUTE_ALL - set to 1. OR vnetRouteAllEnabled set to 1. Configure virtual network integration with application and configuration routing. - Azure App Service | Microsoft Learn These settings can also be replaced with the UI setting in the Virtual Network tab, when you select "Content Storage" in the Configuration routing. For better understanding, vnetContentShareEnabled takes precedence. In other words, if it is set (true/false), WEBSITE_CONTENTOVERVNET is ignored. Only if vnetContentShareEnabled is null, WEBSITE_CONTENTOVERVNET is taken into account. Also keep this in mind: Storage considerations for Azure Functions | Microsoft Learn WEBSITE_CONTENTAZUREFILECONNECTIONSTRING and AzureWebJobsStorage have the connection string as in the Storage Account Website_contentazurefileconnectionstring | App settings reference for Azure Functions | Microsoft Learn Azurewebjobsstorage | App settings reference for Azure Functions | Microsoft Learn WEBSITE_CONTENTSHARE has the Fileshare name Website_contentshare | App settings reference for Azure Functions | Microsoft Learn These are the first points to validate. Storage Account settings If all these are matching/properly configured and still the Logic App is in error, we move to the next step, that is to validate the Storage Account network settings. When the Storage Account does not have Vnet integration enabled, there should be no issues, because the connection is made through the public endpoints. Still, even with this, you must ensure that at least the "Allow storage account key access" is enabled. This is because at this time, the Logic App is dependent on the Access key to connect to the Storage Account. Although you can set the AzureWebJobsStorage to run with Managed Identity, you can't fully disable storage account key access for Standard logic apps that use the Workflow Service Plan hosting option. However, with ASE v3 hosting option, you can disable storage account key access after you finish the steps to set up managed identity authentication. Create example Standard workflow in Azure portal - Azure Logic Apps | Microsoft Learn If this setting is enabled, you must check if Storage Account is behind Firewall. The Access may be Enabled for select networks or fully disabled. Both options require Service Endpoints or Private Endpoints configured. Deploying Standard Logic App to Storage Account behind Firewall using Service or Private Endpoints | Microsoft Community Hub So check the Networking tab under the Storage Account and confirm the following: In case you select the "selected networks" option, confirm that the VNET is the same as the Logic App is extended to. Your Logic App and Storage may be hosted in different Vnets, but you must ensure that there is full connectivity between them. They must be peered and with HTTPS and SMB traffic allowed (more explained in the Network section). You can select "Disabled" network access as well. You should also confirm that the Fileshare is created. Usually this is created automatically with the creation of the Logic App, but if you use Terraform or ARM, it may not create the file share and you must do it manually. Confirm if all 4 Private Endpoints are created and approved (File, Table, Queue and Blob). All these resources are used for different components of the Logic App. This is not fully documented, as it is internal engine documentation and not publicly available. For Azure Functions, the runtime base, this is partially documented, as you can read in the article: Storage considerations for Azure Functions | Microsoft Learn If a Private Endpoint is missing, create it and link it to the Vnet as Shared Resource. Not having all Private Endpoints created may end in runtime errors, connections errors or trigger failures. For example, if a workflow is not generating the URL even if it saves correctly, it may be the Table and Queue Private Endpoints missing, as we've seen many times with customers. You can read a bit more about the integration of the Logic App and a firewall secured Storage Account and the needed configuration in these articles: Secure traffic between Standard workflows and virtual networks - Azure Logic Apps | Microsoft Learn Deploy Standard logic apps to private storage accounts - Azure Logic Apps | Microsoft Learn You can use the Kudu console (Advanced tools tab) to further troubleshoot the connection with the Storage Account by using some network troubleshooting commands. If the Kudu console is not available, we recommend using a VM in the same Vnet as the Logic App, to mimic the scenario. Nslookup [hostname or IP] [DNS HOST IP] TCPPing [hostname or IP]:[PORT] Test-Netconnection [hostname] -port [PORT] If you have Custom DNS, the command NSLookup will not return the results from your DNS unless you specify the IP address as a parameter. Instead, you can use the nameresolver command for this, which will use the Vnet DNS settings to check for the endpoint name resolution. nameresolver [endpoint hostname or IP address] Networking Related Commands for Azure App Services | Microsoft Community Hub Vnet configuration Having configured the Private Endpoint for the Logic App will not affect traffic to the Storage. This is because the PE is only for Inbound traffic. The Storage Communication will the considered as outbound traffic, as it's the Logic App that actively communicates with the Storage. Secure traffic between Standard workflows and virtual networks - Azure Logic Apps | Microsoft Learn So consider that the link between these resources must not be interrupted. This forces you to understand that the Logic App uses both HTTPS and SMB protocols to communicate with the Storage Account, meaning that traffic under the ports 443 and 445 needs to be fully allowed in your Vnet. If you have a Network Security Group associated with the Logic App subnet, you need to confirm that the rules are allowing this traffic. You may need to explicitly create rules to allow this. Source port Destination port Source Destination Protocol Purpose * 443 Subnet integrated with Standard logic app Storage account TCP Storage account * 445 Subnet integrated with Standard logic app Storage account TCP Server Message Block (SMB) File Share In case you have forced routing to your Network Virtual Appliance (i.e. Firewall), you must also ensure that this resource is not filtering the traffic or blocking it. Having TLS inspection enabled in your Firewall must also be disabled, for the Logic App traffic. In short, this is because the Firewall will replace the certificate in the message, thus making the Logic App not recognizing the returned certificate, invalidating the message. You can read more about TLS inspection in this URL: Azure Firewall Premium features | Microsoft Learn DNS If you are using Azure DNS, this section should not apply, because all records are automatically created once you create the resources, but if you're using a Custom DNS, when you create the Azure resource (ex: Storage Private Endpoint), the IP address won't be registered in your DNS, so you must do it manually. You must ensure that all A Records are created and maintained, also keeping in mind that they need to point to the correct IP and name. If there are mismatches, you may see the communications severed between the Logic App and other resources, such as the Storage Account. So double-check all DNS records, and confirm that all is in proper state and place. And to make it even easier, with the help of my colleague Mohammed_Barqawi , this information is now translated into a easy to understand flowchart. If you continue to have issues after all these steps are verified, I suggest you open a case with us, so that we can validate what else may be happening, because either a step may have been missed, or some other issue may be occurring.Boosting Hybrid Cloud Data Efficiency for EDA: The Power of Azure NetApp Files cache volumes
Electronic Design Automation (EDA) is the foundation of modern semiconductor innovation, enabling engineers to design, simulate, and validate increasingly sophisticated chip architectures. As designs push the boundaries of PPA (Power, Performance, and reduced Area) to meet escalating market demands, the volume of associated design data has surged exponentially with a single System-on-Chip (SoC) project generating multiple petabytes of data during its development lifecycle, making data mobility and accessibility critical bottlenecks. To overcome these challenges, Azure NetApp Files (ANF) cache volumes are purpose-built to optimize data movement and minimize latency, delivering high-speed access to massive design datasets across distributed environments. By mitigating data gravity, Azure NetApp Files cache volumes empower chip designers to leverage cloud-scale compute resources on demand and at scale, thus accelerating innovation without being constrained by physical infrastructure.
Optimizing Azure DevOps Jira Integration: 5 Practical Use Cases for DevOps Teams
Many teams rely on Azure DevOps (ADO) for development and Jira for project or product management. While each tool is powerful on its own, things often get messy when work items, statuses, and updates live in separate systems. Integrating the two platforms can remove a lot of friction. Below are six common use cases I have seen from real teams, with concrete problems and solutions to make the connection between Jira and Azure DevOps work smoothly. 1. Keeping User Stories and Bugs in Sync Challenge: Teams use Jira for user requests and Azure DevOps for development tasks. Manually updating both systems is tedious and error-prone. Solution: Enable two-way synchronization so that changes in Jira automatically reflect in Azure DevOps and vice versa (including comments and status updates). This keeps bugs and stories aligned without duplicate work. “Before we integrated Jira with Aure DevOps, I spent too much time manually updating task statuses in both systems. Now, with the automatic sync, my team is focused on actual coding work instead of managing project statuses across platforms.” — DevOps Engineer 2. One-Way Sync for Project Management–First Teams Challenge: Some organizations plan and track everything in Jira but manage code exclusively in Azure DevOps. Developers only need the essentials pushed across. Solution: Use a one-way sync from Jira → Azure DevOps to bring over metadata like titles, statuses, sprints, and due dates. Developers see the context they need without cluttering both systems with manual updates. “We rely on Jira for all project planning and management, but the developers need a clean workspace in Azure DevOps. A one-way sync from Jira to ADO helps us keep things efficient and ensures developers always have the latest information without double entry.” — Product Owner 3. Creating Jira Tickets from Azure DevOps Tasks or Bugs Challenge: External partners or stakeholders may only work in Jira Service Management to manage tickets. Developers in Azure DevOps often need their work mirrored for transparency. Solution: Configure automated ticket creation in Jira when certain ADO tasks are tagged. Both teams can track progress in their preferred tool without duplicating effort. “We use Azure DevOps internally, but our external stakeholders only work in Jira. Automating the creation of Jira tickets based on Azure DevOps tasks or bugs has made collaboration seamless and ensured no work is lost in translation.” — DevOps Lead 4. Syncing Epics, Features, and Work Items Challenge: High-level epics might live in Jira, while features and tasks are managed in Azure DevOps. Without integration, visibility across systems is fragmented. Solution: Sync epics and features so Jira provides portfolio-level visibility, while Azure DevOps remains the system of record for detailed development work. This keeps roadmaps and execution aligned. “Tracking epics in Jira while managing the technical work in Azure DevOps used to cause us to lose visibility. Now, everything from high-level epics to individual tasks is in sync, so we always know where we stand.” — Azure DevOps Product Manager 5. Managing Multiple Jira Projects with One Azure DevOps Project Challenge: Large organizations often run multiple Jira projects (by teams or business units) but only one Azure DevOPs project for development. Syncing everything consistently is tough. Solution: Map multiple Jira projects to a single Azure DevOps project, syncing only the key data (titles, statuses, sprints, custom fields). This creates a unified development view without losing project-specific details. “We have multiple teams using different Jira projects, but we consolidate all development work into a single Azure DevOps project. Syncing across these platforms used to be a nightmare, but now everything stays aligned, and we’re able to track all initiatives in one place.” — Azure DevOps Engineer 💬 Have you integrated Jira with Azure DevOps in your team? What worked well, and what challenges did you run into?
