Build, deploy, and govern sovereign AI with Foundry Local on Azure Local
Not every AI workload can run in the cloud. For many of our customers, data needs to stay within defined boundaries, connectivity may be limited or absent, and latency, governance, and auditability are non-negotiable. With Foundry Local on Azure Local, you can use the same model catalog, developer workflows, and governance capabilities you know from Azure, while running AI entirely within your own environment where your data resides. Foundry Local provides the model catalog and developer experience. Azure Local provides the customer-managed infrastructure. Azure Arc provides unified policy, governance, and lifecycle management across cloud and local environments. This gives developers a consistent way to build, deploy, and operate AI. The same az commands, the same model catalog, the same Arc policies, all running on hardware you control. Expansion of Foundry Local on Azure Local We're expanding the Foundry Local model offering on Azure Local, with support for multi-node deployments and new agents and tools that run locally, in preview. Deploy and run AI models locally. Run models with Foundry Local in customer-managed environments on Azure Local, across sovereign, private, and edge scenarios, including fully disconnected operation. Choose from a flexible, high-performance model catalog. Access proprietary and community models through Foundry Local, now expanded with vLLM-optimized models alongside ONNX-based offerings. You explore and deploy through the same catalog API experience, then operate locally on Azure Local. Build for production realities. Bring governance, identity, and auditability into your applications while keeping execution inside your controlled boundary. See what’s new in Foundry Local on Azure Local in the Tech Community blog. From intelligence to action: agents and tools inside the enterprise boundary Most production AI use cases need two things: grounded answers and the ability to act on them, without sending data outside the environment. Here's how we're enabling that locally. Preview: Agentic retrieval with Foundry Local: Ground agents in enterprise data using retrieval-augmented generation across local Microsoft 365 services, including Exchange and SharePoint. Read the Tech Community blog to learn more. Preview: Agents and tools with Foundry Local: Build AI systems that reason, retrieve information, and take action within customer-controlled environments. Learn more. Preview: Developer acceleration templates: Jump-start local AI application development with new Foundry solution templates, including local chat experiences and video agents, powered by Azure AI Video Indexer. Read the Tech Community to learn more. GitHub Enterprise Local: Now available in public preview Sovereign AI is also about how systems are built and secured, not just where they run. With GitHub Enterprise Local on Azure Local, you can bring your full software development lifecycle on-premises: Source control and repositories CI/CD pipelines Security and DevSecOps workflows GitHub Enterprise Local deploys entirely within customer-owned infrastructure, so teams get the developer tools they expect without compromising on data residency or operational control. This extends modern DevSecOps practice into sovereign environments and pairs naturally with the AI development workflows above: build, secure, and ship your AI applications within the same boundary where they run. Read the tech community blog to learn more about GitHub Enterprise Local and how to join the preview. Accelerating High-performance AI at the Edge with NVIDIA We are expanding our collaboration with NVIDIA to deliver high-performance AI capabilities directly at the edge. At Build, we are bringing: Azure Local and Foundry Local on NVIDIA-powered GPUs, including NVIDIA RTX PRO 6000 Blackwell Server Edition, with expanded GPU support coming soon Integration with Nemotron models, optimized for enterprise performance A scalable foundation for data-intensive, low-latency workloads This partnership ensures that organizations can run advanced AI workloads where data is generated - without dependency on centralized cloud infrastructure. Hardware options: AI factory configurations are available now in the catalog Alongside our hardware partners, we’re bringing integrated solutions to customers building AI within sovereign environments. The Azure Local hardware catalog now includes AI factory configurations from our OEM partners, including NVIDIA-certified 8xH100 systems, with options from DataON, Dell, HPE, and Lenovo. These configurations are sized for the performance that model serving and agentic workloads require on customer-managed infrastructure. Together with Microsoft, we are advancing sovereign AI by bringing the open NVIDIA Nemotron model family to Microsoft Foundry Local on Azure Local. This collaboration gives organizations a production-ready AI platform that enables them to deploy AI where their data resides while maintaining the governance, control, and performance needed to scale AI across the enterprise.” Kari Briski, VP Generative AI Software Products, NVIDIA ”Sovereign AI is becoming increasingly important for governments, regulated industries, and enterprises that want to use AI while maintaining control of their data, location, and operations. Lenovo’s ThinkAgile MX Series delivers trusted, enterprise-grade infrastructure with global deployment expertise to help customers run AI wherever their data resides. Co-engineered with Foundry Local and Azure Local, this solution provides an optimized platform to deploy, run, and scale AI locally with greater simplicity, consistency, and control, while helping meet strict data residency, security, and compliance requirements." Scott Patti - VP Infrastructure Solutions Group (ISG), Lenovo From AI models to trusted, mission-critical systems: what this unlocks for developers and operators AI is evolving from systems that answer questions to systems that plan, reason, and take action across workloads. These capabilities move AI from a cloud-only assumption to something you can deploy where sensitive work actually happens, with governance and operational controls intact. For our customers, this means you can now: Keep data, identities, and audit trails inside your sovereign boundary. Run AI inference and agentic workloads in connected, intermittently connected, or fully disconnected modes. Apply consistent policy and governance across cloud and local environments through Azure Arc. Use the same Foundry catalog and developer experience you already know, on infrastructure you own. Build, secure, and ship your AI applications with GitHub Enterprise Local, keeping source control, CI/CD, and DevSecOps workflows inside the same sovereign boundary. Resources Join us at Build OD837 Shipping physical AI to the edge with Azure Local and Foundry Local https://github.com/microsoft/build26-OD837 OD839 Foundry Local: AI solutions for industrial and sovereign needs https://github.com/microsoft/build26-OD839 LTG425 Expanding horizons: Foundry Local for devices and on-prem https://build.microsoft.com/en-US/sessions/LTG425 Request to join the Foundry Local on Azure Local preview Hands-on walkthrough: Your first model deployment on Foundry Local on Azure Local: from catalog to inference in 10 minutes | Microsoft Community Hub Read our Tech Community blogs: Foundry Local announcing multi-node and vLLM support Agentic Retrival with Foundry Local blog: https://aka.ms/AgentsAndToolsBuildBlog2026 Code sample / model catalog blog: https://aka.ms/foundry-local-model-catalog-blog For more details on the expanded capabilities of Foundry Local for highly secure environments, contact your Microsoft account team Discover Microsoft Sovereign Cloud Explore product documentation at: Foundry Local models on Azure Local: https://aka.ms/FoundryLocalonAzureLocal_documentation Local Agentic retrieval with Foundry Local: https://aka.ms/edge-agentic-retrieval-docs
From fragmented sites to consistent governance: Azure Arc patterns for adaptive cloud strategy.
In Manufacturing companies, hybrid architectures aren’t transitional—they’re persistent. Most large manufacturers operate across remote plants, branch sites, private datacenters, and Azure. The main challenge manufacturers face isn’t adopting cloud services, it is preventing long‑term operational fragmentation: multiple teams, multiple tools, inconsistent security controls, and uneven governance as the estate grows. When manufacturing IT grows organically, systems end up scattered across factories, edge, and cloud—creating fragmentation instead of flow. Azure Arc addresses this as an architectural control‑plane pattern: it extends Azure management to infrastructure and Kubernetes outside Azure by projecting them into Azure Resource Manager (ARM) so they can be governed using Azure-native primitives such as policy, RBAC, and monitoring. This article describes three architecture patterns that consistently emerge in manufacturing and edge scenarios. Each pattern addresses a distinct set of constraints—ranging from centralized governance across hybrid estates, to plant‑adjacent platforms, to fully disconnected environments—and illustrates how Azure services can be composed to support these realities in a scalable, well‑governed way. Typical manufacturing environments must contend with some or many of the following components: Latency & determinism: plant-floor systems often require local execution Distributed footprint: dozens/hundreds of sites with varying maturity Connectivity variability: some sites are intermittently connected Regulatory & data constraints: some workloads must remain on premises Cloud: Native cloud applications including the AI based research applications, SAP systems, etc. As a result, the estate becomes a mix of Azure + non‑Azure infrastructure. The failure mode isn’t performance—it’s inconsistent operations: different patching methods, different monitoring stacks, and uneven security baselines. Azure Arc is positioned specifically to create unity across that operational model by bringing hybrid resources into the Azure control plane. A helpful way to think about Arc in manufacturing scenario is to separate the control plane and the data plane: Arc enables a centralized control plane by projecting resources, like the ones below, into ARM: Azure Resource Manager (resource inventory, tags, RBAC, Policy) Security posture & compliance (Defender for Cloud, policy initiatives) Observability and operations workflows (Azure Monitor, Update Manager, etc.) Whereas the data plane remains at distributed locations meaning: Workload execution remains at plants, private DCs, or edge sites Kubernetes API endpoints, runtime traffic, OT systems remain local This separation is an architectural lever allowing organizations to standardize governance without forcing workload relocation. A high-level design decision matrix Constraint Recommended starting pattern Why Many sites + inconsistent tooling Arc as distributed control plane Standardizes governance and inventory via ARM projection Plant workloads require local platform Azure Local + Arc Uses Azure Local baseline + Arc integration for operations Connectivity cannot be assumed Disconnected/intermittent design Forces control-plane boundary design + local autonomy Pattern 1 — Azure Arc as the distributed control plane (for VM, SQL severs+ Kubernetes) When this pattern fits Use this pattern when: You need consistent governance across plants, datacenters, and multicloud You can maintain at least periodic connectivity for control-plane sync You want Azure policy/security/monitoring to apply uniformly Architecture intent Azure Arc projects existing bare metal, VM, and Kubernetes infrastructure resources into Azure to handle operations with Azure management and security tools. Azure Arc simplifies governance and management by delivering a consistent multicloud and on-premises management platform experience for Azure services. Once projected, you can operate hybrid resources using Azure-native constructs (inventory, compliance reporting, policy scope) and apply standardized guardrails. From an architectural standpoint, Azure Arc establishes a centralized control plane in Azure (ARM, RBAC, Policy, Resource Graph) and decentralized data plane remaining at plants, datacenters, or edge sites. This separation enables organizations to apply management‑group–scoped policies, standardized tagging, and Defender for Cloud controls consistently across environments, while preserving local execution and latency characteristics required by manufacturing workloads. Why this pattern matters: It moves organizations from managing individual sites to governing the entire estate as one. It minimizes operational drift as environments expand across plants and edge locations. Centralized control simplifies enforcement of standards without slowing local operations. The pattern creates predictability at scale in highly distributed environments. It establishes a stable foundation for future modernization initiatives. Pattern 2 — Azure Local + Azure Arc (plant-adjacent platform pattern) When this pattern fits Use this pattern when: Workloads must run on premises for latency, sovereignty, or operational control You want cloud-consistent operations without creating a separate tooling island You need a standardized platform for virtualized + containerized workloads at sites You need the local AI inferencing where data needs to be processed at the source/plant site Architecture intent Azure Local Microsoft’s distributed infrastructure solution that extends Azure capabilities to customer-owned environments. It facilitates the local deployment of both modern and legacy applications across distributed or sovereign locations. Azure Local accelerates cloud and AI innovation by seamlessly delivering new applications, workloads, and services from cloud to edge, using Azure Arc as the unifying control plane. From an architectural perspective, Azure Local serves as the local data plane for applications—supporting general‑purpose virtual machines, managed Kubernetes (AKS), and selected Azure services—while Azure Arc extends the Azure control plane to that environment for inventory, policy, monitoring, and security integration. This separation allows workloads to run close to manufacturing systems without creating a parallel or disconnected operational model. Azure Local supports a broad spectrum of workload types on the same platform foundation, including: Traditional line‑of‑business applications on virtual machines Modern containerized workloads using AKS on Azure Local Azure‑consistent platform services that can be deployed locally, such as Azure Virtual Desktop and SQL Managed Instance GPU‑accelerated workloads for AI inferencing and computer vision scenarios Why this pattern matters: Without a platform like Azure Local integrated through Azure Arc, on‑premises manufacturing workloads tend to evolve into bespoke environments with inconsistent security, monitoring, and lifecycle management—making long‑term scale and governance increasingly difficult. Pattern 3 — Disconnected edge workloads (connectivity-constrained design) When this pattern fits Use this pattern when: Sites cannot assume continuous connectivity Local autonomy is required for safety or production continuity You still want centralized governance when connected Architecture intent In manufacturing and edge scenarios, some environments must operate without continuous internet connectivity due to regulatory constraints, physical isolation, or operational risk tolerance. In these cases, architectures must assume that cloud control‑plane access is intermittent or unavailable, while local execution must continue without disruption. Disconnected architectures shift the primary design concern from availability of services to autonomy of execution. This pattern applies to environments that are fully offline, intermittently connected, or explicitly restricted from sending data to public cloud endpoints. Azure supports this model through Disconnected-containers, where containerized services are deployed and operated fully offline. Once provisioned, these containers run entirely on local infrastructure with no runtime dependency on Azure endpoints, enabling uninterrupted execution even during extended disconnection periods. Disconnected containers are offered through commitment tier pricing, each offering a discounted rate compared to the Standard pricing model. Learn more about pricing here: Plan and Manage Costs - Microsoft Foundry | Microsoft Learn Before attempting to run a Docker container in an offline environment, make sure you know the steps to successfully download and use the container. For example: Host computer requirements and recommendations. The Docker pull command you use to download the container. How to validate that a container is running. How to send queries to the container's endpoint once it's running. Why this pattern matters: This pattern matters because not all environments can rely on continuous connectivity. It enables critical workloads to operate independently at the edge while remaining aligned to central governance when connectivity is available. The pattern prioritizes local autonomy without sacrificing architectural discipline. It reduces operational risk in constrained or disconnected sites. This approach ensures resilience and continuity in environments where connectivity cannot be assumed. Manufacturing IT will remain distributed by design. The risk is not hybrid complexity, but fragmented operations. By centralizing the control plane while keeping execution local, Arc enables consistent security, compliance, and operations across cloud, datacenter, and edge.Public Preview: Workload orchestration simplifying edge deployment at scale
Public Preview Announcement - workload orchestration Introduction: As enterprises continue to scale their edge infrastructure, IT teams face growing complexity in deploying, managing, and monitoring workloads across distributed environments. Today, we are excited to announce the Public Preview of workload orchestration — a purpose-built platform that redefines configuration and deployment management across enterprise environments. Workload orchestration is designed to help you centrally manage configurations for applications deployed in diverse locations (from factories and retail stores to restaurants and hospitals) while empowering on-site teams with flexibility. Modern enterprises increasingly deploy Kubernetes-based applications at the edge, where infrastructure diversity and operational constraints are the norm. Managing these with site-specific configurations traditionally requires creating and maintaining multiple variants of the same application for different sites – a process that is costly, error-prone, and hard to scale. Workload orchestration addresses this challenge by introducing a centralized, template-driven approach to configuration. With this platform, central IT can define application configurations once and reuse them across many deployments, ensuring consistency and compliance, while still allowing site owners to adjust parameters for their local needs within controlled guardrails. The result is a significantly simplified deployment experience that maintains both central governance and localized flexibility. Key features of workload orchestration The public preview release of workload orchestration includes several key innovations and capabilities designed to simplify how IT manages complex workload deployments: Powerful Template Framework & Schema Inheritance: Define application configurations and schemas one time and reuse or extend them for multiple deployments. Workload orchestration introduces a templating framework that lets central IT teams create a single source of truth for app configurations, which can then be inherited and customized by different sites as needed. This ensures consistency across deployments and streamlines the authoring process by eliminating duplicate work. Dependent Application Management: Manage and deploy interdependent applications seamlessly using orchestrated workflows. The platform supports configuring and deploying apps with dependencies via a guided CLI or an intuitive portal experience, reducing deployment friction and minimizing errors when rolling out complex, multi-tier applications. Custom Validation Rules: Ensure every configuration is right before it’s applied. Administrators can define pre-deployment validation expressions (rules) that automatically check parameter inputs and settings. This means that when site owners customize configurations, all inputs are validated against predefined rules to prevent misconfigurations, helping to reduce rollout failures. External Validation Rules: External validation enables you to verify the solution template through an external service, such as an Azure Function or a webhook. The external validation service receives events from the workload orchestration service and can execute custom validation logic. This design pattern is commonly used when customers require complex validation rules that exceed data type and expression-based checks. It allows the implementation of business-specific validation logic, thereby minimizing runtime errors. Integrated Monitoring & Unified Control: Track and manage deployments from a single pane of glass. Workload orchestration includes an integrated monitoring dashboard that provides near real-time visibility into deployment progress and the health of orchestrated workloads. From this centralized interface, you can pause, retry, or roll back deployments as needed, with full logging and compliance visibility for all actions. Enhanced Authoring Experience (No-Code UI with RBAC): We’ve built a web-based orchestration portal that offers a no-code configuration authoring experience. Configuration managers can easily define or update application settings via an intuitive UI – comparing previous configuration revisions side by side, copying values between versions, and defining hierarchical parameters with just a few clicks. This portal is secured with role-based access control (RBAC) and full audit logging, so non-developers and local operators can safely make approved adjustments without risking security or compliance. CLI and Automation Support: For IT admins and DevOps engineers, workload orchestration provides a command-line interface (CLI) optimized for automation. This enables scripted deployments and environment bootstrapping. Power users can integrate the orchestration into CI/CD pipelines or use it to programmatically manage application lifecycles across sites, using familiar CLI commands to deploy or update configurations in bulk. Fast Onboarding and Setup: Getting started with orchestrating your edge environments is quick. The platform offers guided setup workflows to configure your organizational hierarchy of edge sites, define user roles, and set up access policies in minutes. This means you can onboard your team and prepare your edge infrastructure for orchestration without lengthy configuration processes. Architecture & Workflow: Workload orchestration is a service built with cloud and edge components. At a high level, the cloud control plane of workload orchestration provides customers and opportunity to use a dedicated resource provider to define templates centrally which WO edge agents consume and contextualize based on required customization needed at edge locations. The overall object model is embedded in Azure Resource Manager thus providing customers fine grained RBAC (Role Based Access Control) for all workload orchestration resources. The key actions to manage WO are governed by an intuitive CLI and portal experience. There is also a simplified no code experience for non-technical onsite staff for authoring, monitoring and deploying solution with contextualized configurations. Important Details & Limitations: Preview Scope: During public preview, workload orchestration supports Kubernetes-based workloads at the edge (e.g., AKS edge deployments or Arc-enabled Kubernetes clusters). Support for other types of workloads or cloud VMs is coming soon. Regions and Availability: The service is available in East US and East US2 regions during preview. Integration Requirements: Using workload orchestration with your edge Kubernetes clusters require them to be connected (e.g., via Azure Arc) for full functionality. Getting Started with workload orchestration Availability: Workload orchestration is available in public preview starting 19 th May, 2025. For access to public preview, please complete the form to get access for your subscription or share your subscription details over email at configmanager@service.microsoft.com. Once you have shared the details, the team will get back to you with an update on your request! Try it Out: We encourage you to try workload orchestration with one of your real-world scenarios. A great way to start is to pick a small application that you typically deploy to a few edge sites and use the orchestration to deploy it. Create a template for that app, define a couple of parameters (like a site name or a configuration toggle), and run a deployment to two or three test sites. This hands-on trial will let you experience first-hand how the process works and the value it provides. As you grow more comfortable, you can expand to more sites or more complex applications. Because this is a preview, feel free to experiment — you can deploy to non-production clusters or test environments to see how the orchestration fits your workflow. Feedback and Engagement We’d love to hear your feedback! As you try out workload orchestration, please share your experiences, questions, and suggestions. You can leave a comment below this blog post – our team will be actively monitoring and responding to comments throughout the preview. Let us know what worked well, what could be improved, and any features you’d love to see in the future. Your insights are incredibly valuable to us and will help shape the product as we progress toward General Availability. If you encounter any issues or have urgent feedback, you can also engage with us through the following channels: Email at configmanager@service.microsoft.com or fill up the form at WOfeedback for feedback Email at configmanager@service.microsoft.com or fill up the form at WOReportIssuees for reporting issues Contact your Microsoft account representative or support channel and mention “workload orchestration Public Preview” – they can route your feedback to us as well. Occasionally, we may reach out to select preview customers for deeper feedback sessions or to participate in user research. If you’re interested in that, please mention it in your comment or forum post. We truly consider our preview users as co-creators of the product. Many of the features and improvements in workload orchestration have been influenced by early customer input. So, thank you in advance for sharing your thoughts and helping us ensure that this platform meets your needs! (Reminder: Since this is a public preview, it is not meant for production use yet. If you do decide to use it in a production scenario, do so with caution and be aware of the preview limitations. We will do our best to assist with any issues during preview). Learn More To help you get started and dive deeper into workload orchestration, we’ve prepared a set of resources: Workload orchestration Documentation – Overview and how-to guides: Learn about the architecture, concepts, and step-by-step instructions for using workload orchestration in our official docs. [WO documentation] Quick Start: Deploy Your First Application – Tutorial: Follow a guided tutorial to create a template and deploy a sample application to a simulated edge cluster using workload orchestration. [Quickstart] CLI Reference – Command reference: Detailed documentation of all workload orchestration CLI commands with examples. [CLI reference] Conclusion: We’re thrilled for you to explore workload orchestration and see how it can transform your edge deployment strategy. This public preview is a major step towards simplifying distributed workload management, and your participation and feedback are key to its success.Welcoming the Next Wave at Build: New Partners Join the Azure Arc ISV Program
We are thrilled to announce the second round of partners joining the Azure Arc ISV Partner Program for Microsoft Build. Following its successful launch at Ignite last fall, this innovative program continues to grow, enabling partners to publish their offers on the Azure Marketplace for deployment to Arc-enabled Kubernetes clusters. With this new wave, we’re also expanding the solution landscape by introducing four new categories—Security, Networking & Service Mesh, API Infrastructure & Management, and Monitoring & Observability. These additions reflect the evolving needs of hybrid and multi-cloud environments and highlight the breadth of innovation our partners bring to the Azure Arc ecosystem. This new wave of collaborations marks a significant milestone in our journey to foster a vibrant ecosystem of innovation and excellence. This expansion marks a significant step forward in building a dynamic and innovative ecosystem that drives success for both customers and partners alike. What is Azure Arc? Azure Arc is the bridge that extends Azure to on-premises, edge, or even multi-cloud environments. It simplifies governance and management by delivering the consistency of the Azure platform. The ability to create offerings for Azure Arc in the marketplace is a significant benefit to our partners, allowing them to integrate with Azure services and tools and access a large and diverse customer base. Azure Arc enables partners to validate their applications and offer them to customers so they can manage their Kubernetes cluster on Azure. Edge developers can leverage these building blocks to develop their enterprise applications, and we aim to provide them with a one-stop shop in Azure Marketplace. Meet our partners The Azure Arc ISV Partner Program is focusing on expanding categories such as security, networking & service mesh, API infrastructure & management, monitoring & observability. We are excited to introduce our esteemed partners, HashiCorp, Traefik Labs, Solo.io, and Dynatrace, who have Arc-enabled their applications and will now be available on the Azure Marketplace. Here’s a closer look at their offerings: HashiCorp HashiCorp is a leading provider of infrastructure automation and security solutions for modern, dynamic IT environments. HashiCorp Vault Enterprise for Azure Arc enables organizations to manage access to secrets and protect sensitive data using identity-based security principles. As enterprises shift to hybrid and multi-cloud architectures, traditional perimeter-based security models fall short. Vault helps to address this challenge by authenticating every user and application, authorizing access based on identity and policy, encrypting secrets, and injecting just-in-time credentials. It also helps to automate the rotation of secrets, certificates, and encryption keys—reducing operational risk and improving compliance. By integrating with Azure Arc, Vault Enterprise can be deployed and managed alongside other Azure Arc-enabled services. This allows organizations to consistently enforce zero trust security practices—whether workloads run on-premises, in Azure, or in other cloud environments—while benefiting from centralized governance and compliance visibility through the Azure control plane. To deploy HashiCorp Vault Enterprise for Azure Arc, visit aka.ms/HashiCorpForAzureArc. To learn more about HashiCorp Vault Enterprise on Azure Arc, visit HashiCorp Vault Traefik Labs Traefik for Azure Arc empowers organizations to modernize and scale their AI and API runtime infrastructure across any Kubernetes in hybrid and multi-cloud environments. With over 3.3 billion downloads and 250,000+ production nodes globally, Traefik can be deployed in three modular and progressive phases—Application Proxy, API & AI Gateway, and API Management—meeting users where they are on their journey and enabling seamless transitions without vendor lock-in or disruptive migrations. Traefik helps deliver zero-config service discovery across Kubernetes and other orchestrators, efficiently replacing legacy tools with simplified traffic routing and management. As needs grow, they more easily transition to comprehensive AI and API Gateway capabilities with centralized authentication and authorization, semantic caching for AI workloads, and data governance for responsible AI deployments. The final evolution helps introduce complete API governance, observability, self-service developer portals, and instant mock APIs—enabling unified management across both traditional and AI-enabled services without disruptive architectural changes. By combining Azure Arc with Traefik, organizations gain more unified control over API and AI workloads, enhanced by features like semantic caching and content guard. This integration helps bridge fragmented environments, accelerates deployment, and enable clearer versioning boundaries—fundamental for scaling AI and API services across distributed systems. To deploy Traefik for Azure Arc, visit aka.ms/TraefikForAzureArc. To learn more about Traefik for Azure Arc and get started, visit aka.ms/TraefikForArcJumpstart. Solo.io Solo.io is a leading provider of service mesh and API infrastructure solutions for cloud-native applications. Istio for Azure Arc, powered by Solo.io, helps deliver an enterprise-grade service mesh experience through Istio in Ambient Mode—specifically optimized for Azure Arc-enabled Kubernetes clusters. This modern, sidecar-less architecture helps to simplify deployment, reduces operational overhead, and improves resource efficiency while maintaining Istio’s advanced capabilities. The solution provides robust Layer 7 traffic management, zero-trust security with mutual TLS and fine-grained authorization, and deep observability through distributed tracing and logging. It’s ideal for IT operations, DevOps, and security teams managing workloads in regulated industries like finance, healthcare, retail, and technology—where resilience, security, and visibility are important. By using Istio for Azure Arc, organizations can deploy and manage service mesh consistently across hybrid and multi-cloud environments, accelerating application delivery while maintaining control and compliance. To deploy Istio for Azure Arc, visit aka.ms/IstioForAzureArc. To learn more about Istio for Azure Arc, visit Istio by Solo.io. Dynatrace Dynatrace is a leading provider of AI-driven monitoring and performance analytics solutions. Dynatrace Operator helps streamlines your processes, gains insights, and accelerates innovation with its powerful AI-driven platform. Now available through the Microsoft Azure Marketplace, this solution more easily integrates with your Microsoft ecosystem—from Azure to Arc-enabled Kubernetes Service and beyond. With Dynatrace Operator, you can build custom apps and automations tailored to your unique business needs, empowering you to work smarter, not harder. Visualize and fully understand your entire Hybrid cloud ecosystem in real time, plus benefit from automated identification and illustration of application dependencies and their underlying infrastructure, delivering enriched, contextualized data for more informed decisions. Designed to help enterprises automate, analyze, and innovate faster, Dynatrace Operator is your key to unlocking efficiency and growth. By combining Azure Arc with Dynatrace Operator, organizations can deploy and manage monitoring and performance analytics consistently across hybrid and multi-cloud environments, accelerating application delivery while maintaining control and compliance. To deploy Dynatrace Operator for Azure Arc, visit aka.ms/DynatraceOperatorForArc. To learn more about Dynatrace Operator for Azure Arc, visit Dynatrace | Kubernetes monitoring. Become an Arc-enabled Partner These partners have collaborated with Microsoft to join our ISV ecosystem, helping provide resilient and scalable applications more readily accessible for our Azure Arc customers via the Azure Marketplace. Joining forces with Microsoft enables partners to stay ahead of the technological curve, strengthen customer relationships, and contribute to transformative digital changes across industries. We look forward to expanding this program to include more ISVs, enhancing the experience for customers using Arc enabled Kubernetes clusters. As we continue to expand our Azure Arc ISV Partner Program, stay tuned for more blogs on the new partners being published to the Azure Marketplace. To reach out and learn more about the Azure Arc ISV Partner Program visit: What is the Azure Arc ISV Partner program? or reach out to us at https://aka.ms/AzureArcISV.Arc Jumpstart Newsletter: April 2025 Edition
We’re thrilled to bring you the latest updates from the Arc Jumpstart team in this month’s newsletter. Whether you are new to the community or a regular Jumpstart contributor, this newsletter will keep you informed about new releases, key events, and opportunities to get involved in within the Azure Adaptive Cloud ecosystem. Check back each month for new ways to connect, share your experiences, and learn from others in the Adaptive Cloud community.Arc Jumpstart Newsletter: March 2025 Edition
We’re thrilled to bring you the latest updates from the Arc Jumpstart team in this month’s newsletter. Whether you are new to the community or a regular Jumpstart contributor, this newsletter will keep you informed about new releases, key events, and opportunities to get involved in within the Azure Adaptive Cloud ecosystem. Check back each month for new ways to connect, share your experiences, and learn from others in the Adaptive Cloud community.Arc Jumpstart Newsletter: February 2025 Edition
We’re thrilled to bring you the latest updates from the Arc Jumpstart team in this month’s newsletter. Whether you are new to the community or a regular Jumpstart contributor, this newsletter will keep you informed about new releases, key events, and opportunities to get involved in within the Azure Adaptive Cloud ecosystem. Check back each month for new ways to connect, share your experiences, and learn from others in the Adaptive Cloud community.Arc Jumpstart Newsletter: January 2025 Edition
We’re thrilled to bring you the latest updates from the Arc Jumpstart team in this month’s newsletter. Whether you are new to the community or a regular Jumpstart contributor, this newsletter will keep you informed about new releases, key events, and opportunities to get involved in within the Azure Adaptive Cloud ecosystem. Check back each month for new ways to connect, share your experiences, and learn from others in the Adaptive Cloud community.Microsoft Ignite 2024: Celebrating the Success of Our First Show Floor Interview Series
🔥 Microsoft Ignite 2024 has wrapped, and what an event it was! This year, we tried something new - the Ignite Show Floor Interview Series - and it is safe to say it was a huge success. Alongside liorkamrat and thomasmaurer, I had the privilege of conducting interviews with some of the most innovative minds in our Adaptive Cloud ecosystem. We spoke with partners, customers, ISVs from the Azure Arc ISV program (Announcing the Azure Arc ISV Partner Program at Ignite), and Microsoft MVPs, diving into their unique stories, their takeaways from Ignite, and how they’re leveraging Microsoft technologies to drive innovation. 17 Interviews, Countless Stories In total, we produced 17 videos during Ignite, each offering a fresh perspective on cloud innovation. Here is a snapshot on everyone we talked to: Why This Matters This was our first year running the Show Floor Interview Series, and it exceeded our expectations. Here’s why we’re excited: Showcasing Innovation: These interviews highlighted the incredible work being done across the Adaptive Cloud ecosystem, from large enterprises to individual experts Building Community: The series wasn’t just about interviews; it was about connecting with people, hearing their challenges, and celebrating their successes Expanding Reach: By sharing these conversations on our Jumpstart YouTube channel and LinkedIn, we helped bring these stories to a wider audience - even for those that were not able to attend Ignite this year What's Next? While Ignite 2024 is over, this is just the beginning. We are already thinking about how to expand and improve this series for future events. Expect more interviews, more insights, and more opportunities to engage with the Microsoft community next year. And we didn’t just stick to business - we even had a little fun with attendees, asking them what their favorite Microsoft Ignite swag was! 🚀 Haven’t seen the interviews yet? Check out our full playlist on the Arc Jumpstart YouTube channel here. Thank You! A huge thank you to everyone who participated and a huge thank you to everyone who tuned in to our series! To our partners, customers, ISVs, and MVPs - thank you for sharing your time and insights. You made this series what it is, and we are excited to continue building on this momentum! Here’s to the power of innovation, collaboration, and community. Let’s keep the conversation going!
Announcing the Azure Arc ISV Partner Program at Ignite
Empowering Partners and Enhancing Customer Experience We are thrilled to introduce the newly launched Azure Arc ISV Partner Program at Ignite! This innovative and growing ecosystem partner program allows them to publish offers on the Azure Marketplace that can be deployed to Arc-enabled Kubernetes clusters. Customers can now access validated, enterprise-grade applications and tools to enhance their Azure Arc development, while ISVs benefit from a deeper integration with Azure Arc services and access to the Arc enabled customer base. All marketplace images have been validated across the Azure Arc platform with the support of both Microsoft and partner teams. With the solutions each partner has made available on the Azure marketplace, the integration with Azure Arc offers central governance to build robust applications with consistent security and reliability for any hybrid deployments. What is Azure Arc? Azure Arc is a platform that extends Azure to datacenters, on-premises, edge, or even multi-cloud environments. It simplifies governance and management by delivering the consistency of the Azure platform. The ability to create offerings for Azure Arc in the marketplace is a significant benefit to our partners, allowing them to integrate with Azure services and tools and access a large and diverse customer base. Azure Arc also provides validated applications for customers to manage their Kubernetes clusters on our platform. Edge developers leverage the open-source community to build their enterprise applications, and we aim to provide them with a one-stop shop in Azure Marketplace, offering a choice of Kubernetes-based building blocks needed to develop their applications. Meet our partners With our Ignite launch, we have built the foundation of an ecosystem that is designed to bring the best capabilities and innovations to our marketplace, focused on leading building block categories: databases, big data/analytics, and messaging. We are excited to introduce our esteemed partners, (CloudCasa, MongoDB, Redis, MinIO, DataStax) who have Arc enabled their application and will now be available on the Azure Marketplace. Here’s a closer look at their offerings: CloudCasa CloudCasa is a leading provider of Kubernetes backup and recovery solutions. By Arc-enabling their application, CloudCasa offers robust, secure, and easy-to-use backup services for Kubernetes, ensuring the protection and availability of critical data. With CloudCasa, your Arc enabled Kubernetes deployments across hybrid environments are fully protected, ensure that your data is safe and recoverable, no matter the scenario. CloudCasa’s integration with Azure Arc offers three key components: handling persistent volume with or without CSI snapshots, unified management and monitoring across environments, and disaster recovery and migration for AKS hybrid. One-way CloudCasa manages persistent storage is that it natively integrates with Container Storage Interface snapshots, ensuring that all your persistent volumes can be captured and protected without interrupting your workloads. CloudCasa also provides a powerful disaster recovery and migration solution. For AKS on Azure Stack HCI, this means you can confidently deploy hybrid and edge clusters, knowing that you have a trusted solution to recover from any disaster, or even perform seamless migrations from edge to cloud or vice versa. To explore CloudCasa’s full capabilities for Azure Arc-enabled Kubernetes clusters, visit the CloudCasa Marketplace listing for Azure Arc or find out more at cloudcasa.io. For personalized assistance, feel free to contact casa@cloudcasa.io. DataStax DataStax is a leading provider of Gen AI solutions for AI developers. With DataStax HCD (Hyper-Converged Database), businesses can harness the power of Apache Cassandra, the highly scalable and resilient NoSQL database, to manage large volumes of structured and vector data with ease. By Arc-enabling their applications, DataStax HCD offers users a “single pane of glass” for streamlined deployment, monitoring, and lifecycle management of their entire infrastructure. Ensuring consistent operations across on-premises, Azure, and multi-cloud environments makes Azure with HCD an ideal choice for mission-critical applications. The combination of Azure Arc central governance and Mission Control, DataStax’s operations platform, on HCD will allow for provisioning of resources for on-premises and on the cloud. HCD brings to Azure Arc database management and the ability to support workloads and AI systems at scale with no single point of failure. DataStax HCD brings three key benefits to Azure Arc: data replication and distribution, node repair, and vector search capabilities to enhance your enterprise data workloads. To learn more about the full capabilities of DataStax HCD, please visit the DataStax HCD for Azure Arc or find out more on the HCD product page. MongoDB MongoDB Enterprise Advanced (EA) empowers customers to securely self-manage their MongoDB deployments on-premises or in hybrid environments, driving operational efficiency, performance, and control to meet specific infrastructure needs. Now with Arc-enablement, MongoDB EA allows developers to build, scale, and innovate faster by providing a robust and dynamic database solution across a multitude of environments. MongoDB’s document data model is intuitive and powerful, and it can easily handle a variety of data types and use cases efficiently. MongoDB EA includes advanced automation, reliable backups, monitoring capabilities, updating deployments, and integrating with various Kubernetes services. The MongoDB integration with Azure Arc provides three key benefits: support for multi-Kubernetes cluster deployments, centralized provisioning through the Azure portal, and leveraging the resilience of Kubernetes deployments. As Azure Arc provides centralized management of Kubernetes environments across a multitude of environments, MongoDB EA adds value with databases that can run across multiple Kubernetes clusters. To explore MongoDB EA on Azure Marketplace for Azure Arc - and to learn more about the full potential of this offering - please visit MongoDB Enterprise Advanced for Azure Arc. For licensing inquiries and to learn more about MongoDB Enterprise Advanced, please visit MongoDB's website. Redis Redis Software, an enterprise-grade, real-time data platform, offers an in-memory data structure store used as a cache, vector database, document database, streaming engine, and message broker. With its Arc-enabled application, Redis Software provides ultra-fast data access, real-time analytics, and seamless scalability. This makes Redis Software ideal for applications requiring high performance and low latency. Integrating with Azure Arc allows users to deploy Redis workloads across on-premises, Cloud and hybrid infrastructure. The benefits Redis Software brings to Azure Arc are support multi-core deployments, Active-Active geo-distribution, data tiering, high-availability with seamless failover and multiple level of on-disk persistence. As it is integrated with Arc, these Redis instances are located on-premises or on the cloud and can be managed centrally on the Azure portal. To explore Redis Software on the Azure Marketplace for Azure Arc, please visit Redis Software for Kubernetes for Azure Arc. You can learn more about licensing inquiries at Redis Software. MinIO MinIO AIStor is the standard for building large scale AI data infrastructure. It is a software-defined, S3 compatible object store that is optimized for the private cloud but will run anywhere - from the public cloud to the edge. Enterprises use AIStor to deliver against artificial intelligence, machine learning, analytics, application, backup and archival workloads - all from a single platform. It was built for the cloud operating model, so it is native to the technologies and architectures that define the cloud, such as: containerization, orchestration with Kubernetes, microservices and multi-tenancy. By Arc-enabling their application, MinIO ensures that Azure users can experience the unmatched scalability, robust security, and lightning-fast storage performance that has made MinIO the most widely integrated object store in the market today. Users can now run these hybrid or multi-cloud deployments on Azure Arc and manage them in a single pane of glass on the Azure portal. To deploy and learn more about MinIO AIStor on Azure Arc, please visit MinIO AIStor for Azure Arc here. For further information on MinIO AIStor for Azure Arc, please visit MinIO | AI Storage is Object Storage. Become an Arc Enabled Partner These partners have collaborated with Microsoft to join our ISV ecosystem, providing resilient and scalable applications readily accessible for our Azure Arc customers via the Azure Marketplace. Joining forces with Microsoft enables partners to stay ahead of the technological curve, strengthen customer relationships, and contribute to transformative digital changes across industries. We look forward to expanding this program to include more ISVs, enhancing the experience for customers using Arc enabled Kubernetes clusters. As we continue to expand our Azure Arc ISV Partner Program, stay tuned for more blogs on the new partners being published to the Azure Marketplace. To reach out and learn more about the Azure Arc ISV Partner Program, please feel free to reach out to us at https://aka.ms/AzureArcISV.
