Upgrade Azure Local operating system to new version
Today, we’re sharing more details about the end of support for Azure Local, with OS version 25398.xxxx (23H2) on October 31, 2025. After this date, monthly security and quality updates stop, and Microsoft Support remains available only for upgrade assistance. Your billing continues, and your systems keep working, including registration and repair. There are several options to upgrade to Azure Local, with OS version 26100.xxxx (24H2) depending on which scenario applies to you. Scenario #1: You are on Azure Local solution, with OS version 25398.xxxx If you're already running the Azure Local solution, with OS version 25398.xxxx, there is no action required. You will automatically receive the upgrade to OS version 26100.xxxx via a solution update to 2509. Azure Local, version 23H2 and 24H2 release information - Azure Local | Microsoft Learn for the latest version of the diagram. If you are interested in upgrading to OS version 26100.xxxx before the 2509 release, there will be an opt-in process available in the future with production support. Scenario #2: You are on Azure Stack HCI and haven’t performed the solution upgrade yet Scenario #2a: You are still on Azure Stack HCI, version 22H2 With the 2505 release, a direct upgrade path from version 22H2 OS (20349.xxxx) to 24H2 OS (26100.xxxx) has been made available. To ensure a validated, consistent experience, we have reduced the process to using the downloadable media and PowerShell to install the upgrade. If you’re running Azure Stack HCI, version 22H2 OS, we recommend taking this direct upgrade path to the version 24H2 OS. Skipping the upgrade to the version 23H2 OS will be one less upgrade hop and will help reduce reboots and maintenance planning prior to the solution upgrade. After then, perform post-OS upgrade tasks and validate the solution upgrade readiness. Consult with your hardware vendor to determine if version 24H2 OS is supported before performing the direct upgrade path. The solution upgrade for systems on the 24H2 OS is not yet supported but will be available soon. Scenario #2b: You are on Azure Stack HCI, version 23H2 OS If you performed the upgrade from Azure Stack HCI, version 22H2 OS to version 23H2 OS (25398.xxxx), but haven’t applied the solution upgrade, then we recommend that you perform post-OS upgrade tasks, validate the solution upgrade readiness, and apply the solution upgrade. Diagram of Upgrade Paths Conclusion We invite you to identify which scenarios apply to you and take action to upgrade your systems. On behalf of the Azure Local team, we thank you for your continuous trust and feedback! Learn more To learn more, refer to the upgrade documentation. For known issues and remediation guidance, see the Azure Local Supportability GitHub repository.Introducing Azure Local: cloud infrastructure for distributed locations enabled by Azure Arc
Today at Microsoft Ignite 2024 we're introducing Azure Local, cloud-connected infrastructure that can be deployed at your physical locations and under your operational control. With Azure Local, you can run the foundational Azure compute, networking, storage, and application services locally on hardware from your preferred vendor, providing flexibility to meet your requirements and budget.Announcing general availability of workload orchestration: simplifying edge deployments at scale
We’re excited to announce the General Availability of workload orchestration, a new Azure Arc capability that simplifies how enterprises deploy and manage Kubernetes-based applications across distributed edge environments. Organizations across industries, such as manufacturing, retail, healthcare, face challenges in managing varied site-specific configurations. Traditional methods often require duplicating app variants—an error-prone, costly, and hard-to-scale approach. Workload orchestration solves this with a centralized, template-driven model: define configurations once, deploy them across all sites, and allow local teams to adjust within guardrails. This ensures consistency, improves speed, reduces errors, and scales with your CI/CD workflows—whether you’re supporting 200+ factories, offline retail clusters, or regionally-compliant hospital apps. Fig 1.0: Workload orchestration – Key features Key benefits of workload orchestration include: Solution Configuration & Template Reuse Define solutions, environments, and multiple hierarchy levels using reusable templates. Key-value stores and schema-driven inputs allow flexible configurations, validations with role-based access to maintain control. Context-Aware Deployments Automatically generate deployable artifacts based on selected environments (Dev, QA, Prod) and push changes safely through a git ops flow — enabling controlled rollouts and staged testing across multiple environments. Deploying at Scale in Constrained Environments Deploy workloads across edge and cloud environments with built-in dependency management and preloading of container images (a.k.a Staging) to minimize downtime during narrow maintenance windows. Bulk Deployment and Git Ops-Based Rollouts Execute large-scale deployments — including shared or dependent applications — across multiple sites using Git-based CI/CD pipelines that validate configurations and enforce policy compliance before rollout. End to End Observability K8 diagnostics in workload orchestration provide full-stack observability by capturing container logs, Kubernetes events, system logs, and deployment errors—integrated with Azure Monitor and Open Telemetry pipelines for proactive troubleshooting across edge and cloud environments. Who Is It For? Workload orchestration supports two primary user personas: IT Admins and DevOps Engineers: Responsible for initial setup and application configuration via CLI. OT Operators: Use the portal for day-to-day activities like monitoring deployments and adjusting configurations. Resources for You to Get Started You can start using workload orchestration by visiting the Azure Arc portal and following the documentation. We encourage you to try it with a small application deployed to a few edge sites. Create a template, define parameters like site name or configuration toggles, and run a deployment. As you grow more comfortable, expand to more sites or complex applications.Announcing the Public Preview of the Azure Arc gateway!
The wait is over, we are thrilled to introduce the Public Preview of the Azure Arc gateway for Arc-enabled Servers, and Arc-enabled Kubernetes! They reduce the number of required endpoints for customers to configure their Enterprise proxy when setting up for using Azure Arc services. How Does it Work? Arc gateway introduces two new components: Arc gateway – An Azure Resource with a single, unique endpoint that will handle the incoming traffic to Azure from on-prem Arc workloads. This endpoint is to be configured in customer’s enterprise proxies. Azure Arc Proxy – A component of the Arc connected machine agent that routes all Agent and extension traffic to its destination in Azure via an Arc gateway Resource. The Arc Proxy is installed on every Arc-enabled Resource within the core Arc agent. Arc gateway on Arc-enabled Servers Architecture Arc gateway on Arc-enabled Kubernetes Architecture How do I Deploy Arc gateway? At a high level, there are three steps: create an Arc gateway Resource. Get the Arc gateway URL, and configure your Enterprise proxy Either onboard your Servers/K8s clusters using the gateway resource info or update the existing Arc Server/K8s resource with the created gateway resource info. For Arc enabled Servers, you can find Arc gateway details & instructions in the Public Preview documentation, and the Arc gateway for Arc-enabled Servers Jumpstart Episode. For Arc-enabled Kubernetes, more details are available in the Public Preview Documentation. Arc gateway Endpoint Coverage, Illustrated by the Azure Monitoring Scenario For the Arc gateway public preview, we have focused on covering primarily Service Endpoints for Azure control plane traffic. Most of the data plane endpoints are not yet covered by Arc gateway. I’d like to use the Azure monitoring on Arc-enabled Servers scenario to illustrate the Endpoints covered by the Public Preview release. Below is a comparison of the list of endpoints customers must open access to in their enterprise proxy with and without Arc gateway for this common scenario. As displayed, Arc gateway cuts the list of required endpoints nearly in half and removes the need for customers to allow wildcard endpoints in their on-prem environment. Endpoints required without Arc gateway (17) Endpoints required with Arc gateway (8) Arc-enabled Servers Endpoints aka.ms download.microsoft.com packages.microsoft.com login.microsoftonline.com *.login.microsoftonline.com pas.windows.net management.azure.com *.his.arc.azure.com *.guestconfiguration.azure.com azgn*.servicebus.windows.net *.blob.core.windows.net dc.services.visualstudio.com Azure Monitor Endpoints global.handler.control.monitor.azure.com <virtual-machine-region-name>.handler.control.monitor.azure.com <log-analytics-workspace-id>.ods.opinsights.azure.com <virtual-machine-region-name>.monitoring.azure.com <data-collection-endpoint>.<virtual-machine-region-name>.ingest.monitor.azure.com Arc-enabled Servers Endpoints <URL Prefix>.gw.arc.azure.com management.azure.com login.microsoftonline.com gbl.his.arc.azure.com <region>.his.arc.azure.com packages.microsoft.com Azure Monitor Endpoints <log-analytics-workspace-id>.ods.opinsights.azure.com <data-collection-endpoint>.<virtual-machine-region-name>.ingest.monitor.azure.com We're continuing to expand the endpoint coverage and further reduce the number of endpoints required to be configured through customers' Enterprise proxies. I’d like to invite you to try out the Arc gateway Public Preview release and share any questions, comments or feedback and requests to the Public Preview Contact Form.
Preview of Arc enabled SQL Server in US Government Virginia
Introduction We are excited to announce that Azure Arc-enabled SQL Server on Windows is now in public preview for the US Government Virginia region. With Azure Arc-enabled SQL Server, U.S. government agencies and organizations can manage SQL Server instances outside of Azure from the Azure Government portal, in a secure and compliant manner. Arc-enabled SQL Server resources in US Gov Virginia can be onboarded and viewed in the Azure Government portal just like any Azure resource, giving you a single pane of glass to monitor and organize your SQL Server estate in the Gov cloud. Preview features of Azure Arc-Enabled SQL Server Currently, in the US Government Virginia region, SQL Server registration provides the following features: Connect (onboard) a SQL Server instance to Azure Arc. SQL Server inventory which includes the following capabilities in the Azure portal: View the SQL Server instance as an Azure resource. View databases as an Azure resource. View the properties for each server. For example, you can view the version, edition, and database for each instance. All other features, including Extended Security Updates (ESU), are not currently available. How to Onboard Your SQL Server Onboarding a SQL Server to Azure Arc in the Government cloud is a two-step process that you can initiate from the Azure (US Gov) portal. Step 1: Connect hybrid machines with Azure Arc-enabled servers Step 2: Connect your SQL Server to Azure Arc on a server already enabled by Azure Arc Limitations The following SQL Server features are not currently available in any US Government region: Failover cluster instance (FCI) Availability group (AG) SQL Server services like SSIS, SSRS, or Power BI Report Server Future Plans and Roadmap This public preview is a major first step in bringing Azure Arc’s hybrid data management to Azure Government, and more enhancements are on the way. We will be enabling features like Arc-based billing (PAYG) and ESU purchasing along with feature parity with public cloud in future. After US Gov Virginia, we will expand to other US Gov regions starting with US Gov Arizona. Conclusion The availability of Azure Arc-enabled SQL Server in the US Gov Virginia region marks an important milestone for hybrid data management in Government. If you’re an Azure Government user managing SQL Server instances, we invite you to try out this public preview. And please, share your feedback with us through the community forum or your Microsoft representatives. Learn More: SQL Server enabled by Azure Arc in US Government Preview SQL Server enabled by Azure ArcCloud infrastructure for disconnected environments enabled by Azure Arc
Organizations in highly regulated industries such as government, defense, financial services, healthcare, and energy often operate under strict security and compliance requirements and across distributed locations, some with limited or no connectivity to public cloud. Leveraging advanced capabilities, including AI, in the face of this complexity can be time-consuming and resource intensive. Azure Local, enabled by Azure Arc, offers simplicity. Azure Local’s distributed infrastructure extends cloud services and security across distributed locations, including customer-owned on-premises environments. Through Azure Arc, customers benefit from a single management experience and full operational control that is consistent from cloud to edge. Available in preview to pre-qualified customers, Azure Local with disconnected operations extends these capabilities even further – enabling organizations to deploy, manage, and operate cloud-native infrastructure and services in completely disconnected or air-gapped networks. What is disconnected operations? Disconnected operations is an add-on capability of Azure Local, delivered as a virtual appliance, that enables the deployment and lifecycle management of your Azure Local infrastructure and Arc-enabled services, without any dependency on a continuous cloud connection. Key Benefits Consistent Azure Experience: You can operate your disconnected environment using the same tools you already know - Azure Portal, Azure CLI and ARM Templates extended through a local control plane. Built-in Azure Services: Through Azure Arc, you can deploy, update, and manage Azure services such as Azure Local VMs, Azure Kubernetes Service (AKS), etc. Data Residency and Control: You can govern and keep data within your organization's physical and legal jurisdiction to meet data residency, operational autonomy, and technological isolation requirements. Key Use Cases Azure Local with disconnected operations unlocks a range of impactful use cases for regulated industries: Government and Defense: Running sensitive government workloads and classified data more securely in air-gapped and tactical environments with familiar Azure management and operations. Manufacturing: Deploying and managing mission-critical applications like industrial process automation and control systems for real-time optimizations in more highly secure environments with zero connectivity. Financial Services: Enhanced protection of sensitive financial data with real time data analytics and decision making, while ensuring compliance with strict regulations in isolated networks. Healthcare: Running critical workloads with a need for real-time processing, storing and managing sensitive patient data with the increased levels of privacy and security in disconnected environments Energy: Operating critical infrastructure in isolated environments, such as electrical production and distribution facilities, oil rigs, or remote pipelines. Here is an example of how disconnected operations for Azure Local can provide mission critical emergency response and recovery efforts by providing essential services when critical infrastructure and networks are unavailable. Core Features and capabilities Simplified Deployment and Management Download and deploy the disconnected operations virtual appliance on Azure Local Premier Solutions through a streamlined user interface. Create and manage Azure Local instances using the local control plane, with the same tooling experience as Azure. Offline Updates The monthly update package includes all the essential components: the appliance, Azure Local software, AKS, and Arc-enabled service agents. You can update and manage the entire Azure Local instance using the local control plane without an internet connection. Monitoring Integration You can monitor your Azure Local instances and VMs using external monitoring solutions like SCOM by installing custom management packs and monitor AKS Clusters through 3 rd party open-source solutions like Prometheus and Grafana. Run Mission-Critical Workloads – Anytime, Anywhere Azure Local VMs You can run VMs with flexible sizing, support for custom VM images, and high availability through storage replication and automatic failover – all managed through the local Azure interface. AI & Containers with AKS You can use disconnected AI containers with Azure Kubernetes Service (AKS) on Azure Local to deploy and manage AI applications in disconnected scenarios where data residency and operational autonomy is required. AKS enables the deployment and management of containerized applications such as AI agents and models, deep learning frameworks, and related tools, which can be leveraged for inferencing, fine-tuning, and training in isolated networks. AKS also automates resource scaling, allowing for the dynamic addition and removal of container instances to more efficiently utilize hardware resources, including GPUs, which are critical for AI workloads. This provides consistent Azure experience in managing Kubernetes clusters and AI workloads with the same tooling and processes in connected environments. Get Started: Resources and Next Steps Microsoft is excited to announce the upcoming preview of Disconnected Operations for Azure Local in Q3 ‘CY25 for both Commercial and Government Cloud customers. To Learn more, please visit Disconnected operations for Azure Local overview (preview) - Azure Local Ready to participate? Get Qualified! or contact your Microsoft account team. Please also check out this session at Microsoft Build https://build.microsoft.com/en-US/sessions/BRK195 by Mark Russinovich, one of the most influential minds in cloud computing. His insights into the latest Azure innovations, the future of cloud architecture and computing, is a must-watch event!Empowering the Physical World with AI
Unlocking AI at the Edge with Azure Arc The integration of AI into the physical environment is revolutionizing ways we interact with and navigate the world around us. By embedding intelligence into edge devices, AI is not just processing data—it is defining how machines perceive, reason, and act autonomously in real-world scenarios. AI at the edge is transforming how we interact with our environment, driven by critical factors such as data sensitivity, local regulations, compliance, low latency requirements, limited network connectivity, and cost considerations. Added to this, the emergence of new, powerful agentic AI capabilities enables autonomous and adaptive real-time operations, making AI an indispensable tool in reshaping the physical world. Customers’ Use Cases By embedding AI into edge operations, industries are unlocking transformative efficiencies and innovations. In manufacturing, edge-powered AI enables real-time quality control and predictive maintenance, minimizing downtime and maximizing productivity. In retail, AI enhances customer experiences with personalized recommendations and streamlined inventory management. Similarly, finance leverages AI's capabilities for robust fraud detection and advanced risk management. Moreover, sectors like government and defense are increasingly adopting edge AI for safety-critical applications, enabling autonomous, real-time surveillance and response solutions that are both efficient and resilient. These advancements are paving the way for scalable, adaptive solutions that meet the unique demands of diverse operational environments. Azure’s Adaptive Cloud Approach enabling AI from cloud to edge Building on the promise to unify cloud and edge, Azure’s adaptive cloud approach is empowering teams to develop and scale AI workloads seamlessly across diverse environments. By enabling a unified suite of services tailored for modern AI applications, whether deployed in public clouds or distributed locations, Azure Arc enables streamlined operations with enhanced security and resilience. Central to extending AI services to the edge is our commitment to adaptive, scalable, and efficient solutions tailored to diverse operational needs. Azure Arc plays a key role in this vision by facilitating seamless deployment and management of AI workloads across various environments. This week, we’re excited to share that a subset of Microsoft Azure AI Foundry models, such as Phi and Mistral have been rigorously validated to run on Azure Local enabled by Azure Arc. Our investments are reflected in two primary areas: Foundational tools for MLOps and developer frameworks, which empower teams to build robust AI applications Intuitive, end-to-end low-code experiences designed for data analysts and solution developers. These low-code tools prioritize user-friendly interfaces and rapid deployment, enabling the creation of solutions with just a few clicks. This dual focus ensures enterprises can fully harness the potential of edge AI while maintaining flexibility and operational efficiency. Image 1: This high-level diagram illustrates our vision for the cloud to edge AI workloads, enabled by Azure Arc. Some components (agents and integration with AI Foundry and Foundry Local) are still under development, while others are more advanced and have been released to the market. Build 2025: New Capabilities and Releases This strategic vision is now being realized through a wave of new capabilities unveiled at Build 2025. These innovations are designed to accelerate edge AI adoption and simplify the developer experience—making it easier than ever to build, deploy, and manage intelligent applications across hybrid environments. Announcements related to developer Building blocks: Kubernetes AI Toolchain Orchestrator (KAITO), enabled by Azure Arc (public preview) Foundry Local (public preview) for Windows apps to be deployed on any client device read more here. Workload orchestration (public preview) Application development tools for Kubernetes enabled by Arc (public preview) Refer to this blog to read more: https://aka.ms/AdaptiveCloudBuild2025 Announcements related to End-to-end experiences: Edge RAG, enabled by Azure Arc is now available in public preview. Azure AI Video Indexer for recorded files, enabled by Arc is generally available since April 2025. Azure AI Video Indexer for live video analysis, enabled by Arc is available in private preview, for limited set of customers Customer scenarios: enabling search and retrieval for on-premises data on Azure Local Edge RAG targets customers who have data that needs to stay on premises due to data gravity, security and compliance, or latency requirements. We have observed significant and consistent interest from highly regulated sectors. These entities are exploring the use of RAG capabilities in disconnected environments through Azure Local. DataON is a hybrid cloud computing company for enterprises of all sizes, with a focus on educational institutions and local government agencies. Recently, they have worked with the their customers to successfully deploy our RAG solution on CPU and GPU clusters and begin testing with sample end-customer data. “DataON has been actively exploring how Edge RAG can enhance our Microsoft Azure Local solutions by providing more efficient data retrieval and decision-making capabilities. It’s exciting to be part of the private preview program and see firsthand how Edge RAG is shaping the future of data-driven insights.” Howard Lo | VP, Sales & Marketing | DataON This capability brings generative AI and RAG to on-premises data. Edge RAG was validated on AKS running on Azure Local. Based on DataON and other customer feedback, we have expanded the version to include new features: Model Updates: Ability to use any model compatible with OpenAI Inferencing standard APIs Multi-lingual support: 100+ common languages for document ingestion and question-answer sessions Multi-modal support: Support for image ingestion & retrieval during question-answer sessions Search Types: Support for Text, Vector, Hybrid Text & Hybrid Text+Image searches Ingestion Scale-out: Integration with KEDA for fully parallelized, high-throughput ingestion pipeline Evaluation Workflow with RAG Metrics: Integrated workflow with built-in or customer-provided sample dataset Read more about Edge RAG in this blog: https://aka.ms/AzureEdgeAISearchenabledbyArc. AI Workloads for Disconnected Operations In fully disconnected (air-gapped or non-internet) environments, such as those often found in government and defense sectors, technologies like RAG, can be deployed on-premises or in secure private clouds. This is currently available with limited access. Use Cases: Video analysis: Automatically analyzes video and audio content to extract metadata such as objects and scenes. Use cases include live video and analysis, mission debriefing and training, and modern safety. Models consumption: A central repository for securely managing, sharing, and deploying AI/ML models. Use cases: model governance, rapid deployment of mission-specific models, and inter-agency collaboration. Retrieval-Augmented Generation (RAG): Combines LLMs with a document retrieval system to generate accurate, context-aware responses based on internal knowledge bases. Use cases include field briefings, legal and policy compliance, and cybersecurity incident response. Transforming Industries with AI: Real-World Stories from the Edge Across industries, organizations are embracing AI to solve complex challenges, enhance operations, and deliver better outcomes. From healthcare to manufacturing, retail to energy, and even national security, Azure AI solutions are powering innovation at scale. In the manufacturing sector, a global company sought to optimize production and reduce costly downtime. Azure AI Video Indexer monitored video feeds from production lines to catch defects early, while custom predictive maintenance models from the Model Catalog helped prevent equipment failures. RAG provided real-time insights into operations, empowering managers to make smarter decisions by asking questions. These tools collectively boosted efficiency, minimized downtime, and improved product quality. At Airports, Azure AI helped enhance passenger experience and safety. From monitoring queue lengths and tracking vehicles to detecting falls and identifying restricted area breaches, the combination of Azure Local, Video Indexer, Azure IoT for Operations, and custom AI created a smarter, safer airport environment. Retailers, too, are reaping the benefits. A major retail chain used Azure AI to understand in-store customer behavior through video analytics, optimize inventory with demand forecasting models, and personalize shopping experiences using RAG. These innovations led to better customer engagement, streamlined inventory management, and increased sales. In Healthcare, a leading provider operating multiple hospitals and clinics nationwide faced the daunting task of analyzing massive volumes of patient data—from medical records and imaging to real-time feeds from wearable devices. With strict privacy regulations in play, they turned to Azure AI. Using Azure AI Video Indexer, they analyzed imaging data like X-rays and MRIs to detect anomalies. The Model Catalog enabled predictive analytics to identify high-risk patients and forecast readmissions. Meanwhile, Retrieval-Augmented Generation (RAG) gave doctors instant access to patient histories and relevant medical literature. The result? More accurate diagnoses, better patient care, and full regulatory compliance. These stories highlight how Azure Arc enabled AI workloads are not just a set of tools—they are a catalyst for transformation. Whether it’s saving lives, improving safety, or driving business growth, the impact is real, measurable, and growing every day. Learn More Whether you are tuning in online or joining us in person, we wish you a fun and exciting Build 2025! The advancements in AI at the edge are set to revolutionize how we build, deploy, and manage applications, providing greater speed, agility, and security for businesses around the world. Recommended Build Sessions: Breakout session (BRK188): Power your AI apps across cloud and edge with Azure Arc Breakout session (BRK183): Improving App Health with Health Modeling and Chaos Engineering Breakout session (BRK 195): Inside Azure innovations with Mark Russinovich Breakout session (BRK 168): AI and Agent Observability in Azure AI Foundry and Azure MonitorJumpstart LocalBox 25H2 Update
LocalBox delivers a streamlined, one-click sandbox experience for exploring the full power of Azure Local. With this 25H2 release, we are introducing support for Azure VM Spot pricing for the LocalBox Client VM, removed service principal dependency and transitioned to Managed Identity, added support for deploying the LocalBox Client VM and Azure Local instance in separate regions, added dedicated PowerShell modules and updated LocalBox to the Azure Local 2505 release - making it possible for you to evaluate a range of new features and enhancements that elevate the functionality, performance, and user experience. Following our LocalBox rebranding last month, today, we are thrilled to announce our second major update – LocalBox 25H2! Key Azure Local Updates Azure Local 2505 Solution Version In this release, we have updated the base image for the Azure Local nodes to the 2505 solution version. Started in the previous Azure Local 2504 release, a new operating system was introduced for Azure Local deployments. For 2505, all new deployments of Azure Local will run the new OS version 26100.4061. This unlocks several new features: Registration and Deployment Updates Starting with this release, you can now download a specific version of Azure Local software instead of just the latest version. For each upcoming release, you will be able to choose from up to the last six supported versions. Security Updates The Dynamic Root of Trust for Measurement (DRTM) is enabled by default for all new 2504 deployments running OS version 26100.3775. Azure Local VM Updates Data disk expansion - You can now expand the size of a data disk attached to an Azure Local VM. For more information, see Expand the size of a data disk attached to an Azure Local VM. Live VM migration with GPU partitioning (GPU-P) - You can now live migrate VMs with GPU-P. You can read more about what is new in Azure Local 2505 in the documentation. Jumpstart LocalBox 25H2 Updates Features Cost Optimizations with Azure Spot VM Support LocalBox now supports enabling Azure VM Spot pricing for the Client VM, allowing users to take advantage of cost savings on unused Azure capacity. This feature is ideal for workloads that can tolerate interruptions, providing an economical option for testing and dev environments. By leveraging Spot pricing, users can significantly reduce their operational costs while maintaining the flexibility and scalability offered by Azure. You may leverage the advisor on the Azure Spot Virtual Machine pricing page to estimate costs for your selected region. Here is an example for running the LocalBox Client Virtual Machine in the East US region: The new deployment parameter enableAzureSpotPricing is disabled by default, so users who wants to take advantage of this capability will need to opt-in. Visit the LocalBox FAQ to see the updated price estimates for running LocalBox in your environment. Deploying the LocalBox Client VM and Azure Local Instance in Separate Regions Our users have been sharing with us feedback around the Azure capacity requirements of deploying LocalBox, specifically when it comes to regions with sufficient compute capacity (vCPU quotas) for the VM SKU (Standard E32s v5/v6) used in LocalBox. To address this, we have now introduced a new parameter for specifying the region the Azure Local instance resources will be deployed to. In the following example, LocalBox is deployed into Norway East while the Azure Local instance is deployed into Australia East. In practice, this makes it possible to deploy LocalBox into any region where users have sufficient vCPU quotas available for the LocalBox VM SKU (Standard E32s v5/v6). Enhanced Security - Support for Azure Managed Identity We have now introduced an enhanced security posture by removing the Service Principal Names (SPN) user requirement in favor of Azure Managed Identity at deployment time. This follows the same pattern we introduced in Jumpstart ArcBox last year, and now, with Azure Local fully support deployments without an SPN, we are excited to share this update in LocalBox. Dedicated PowerShell modules Arc Jumpstart has been evolving and growing significantly since its beginning more than 5 years ago. As the code base is growing, we see the opportunity to consolidate common code and separate large scripts into modules. Our first PowerShell module, Azure.Arc.Jumpstart.Common, was moved into its own repository — and was published to the PowerShell Gallery via a GitHub Actions workflow last month. 💥 With this LocalBox release, we have also separated functions in LocalBox into the newly dedicated Azure.Arc.Jumpstart.LocalBox module. Both modules are now installed during provisioning and leveraged in automation scripts. While these modules are targeted for use in automation, it makes the scripts readable for those who want to understand the logic and potentially contribute with bugfixes or new functionality. What we’ve achieved: ✅ New repo structure for PowerShell modules ✅ CI/CD pipeline using GitHub Actions ✅ Cross-platform testing on Linux, macOS, Windows PowerShell 5.1 & 7 ✅ Published module to PowerShell Gallery ✅ Sampler module used to scaffold and streamline the module structure 🎯 This is a big step toward better reusability and scalability for PowerShell in Jumpstart scenarios. As we continue building out new use cases, having this modular foundation will keep things clean, maintainable, and extensible. Check out our SDK repository on GitHub and the modules on PowerShell Gallery. Other Quality of Life Improvements We appreciate the continued feedback from the Jumpstart community and have incorporated several smaller changes to make it easier for users to deploy LocalBox. These include, but are not limited to: Added configuration of start/shutdown settings for the nested VMs to make sure that they are shutdown properly and started in the correct order when the LocalBox Client VM is stopped and started. Moved the manual deployment steps to a separate page for clarity Added information about the Pester-tests in the Troubleshooting section, including how to open the log-file to see which tests have failed Added shortcut to Hyper-V Manager on the desktop in the LocalBox Client VM Getting started! The latest update to LocalBox not only focuses on new features but also on enhancing overall cost and deployment experience. We invite our community to explore these new features and take full advantage of the enhanced capabilities of LocalBox. Your feedback is invaluable to us, and we look forward to hearing about your experiences and insights as you navigate these new enhancements. Get started today by visiting aka.ms/JumpstartLocalBox!Comparing feature sets for AKS enabled by Azure Arc deployment options
This article shows a comparison of features available for the different deployment options under AKS enabled by Azure Arc. AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and AKS on Azure Stack HCI 22H2 Supported infrastructure where the Kubernetes clusters are hosted Azure Stack HCI, version 23H2 Windows 10/11 IoT Enterprise Windows 10/11 Enterprise Windows 10/11 Pro Windows Server 2019/2022 Azure Stack HCI 22H2 Windows Server 2019 Windows Server 2022 CNCF conformant? Yes Yes Yes K8s cluster lifecycle management tools (create, scale, upgrade and delete clusters) Az CLI Az PowerShell Azure Portal ARM templates PowerShell PowerShell Windows Admin Center Kubernetes cluster management plane Kubernetes clusters are managed by Arc Resource Bridge that runs as part of infrastructure components on the Azure Stack HCI cluster. Kubernetes clusters are self-managed, to preserve resources. Kubernetes clusters are managed using a “management cluster”, that is installed using PowerShell before Kubernetes workload clusters can be created. Can you use kubectl and other open-source Kubernetes tools? Yes Yes Yes Supported Kubernetes versions. Supports K8s only. Continuous updates to supported Kubernetes versions. For latest version support, run az aksarc get-versions. Supports K3s and K8s. Continuous updates to supported Kubernetes versions. For the latest version, visit steps to prepare your machine for AKS Edge Essentials. Supports K8s only. Continuous updates to supported Kubernetes versions. For latest version support, visit AKS hybrid releases on GitHub. Azure Fleet Manager integration No No No Terraform integration Not yet No No Azure Monitor integration Yes, via Arc extensions Yes, via Arc extensions Yes, via Arc extensions The following is a comparison between node pool capabilities for AKS enabled by Azure Arc deployment options: AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and Azure Stack HCI 22H2 Windows nodepool support Yes Windows Server 2019 Datacenter Windows Server 2022 Datacenter Yes Windows Server 2022 Datacenter (Core) Yes Windows Server 2019 Datacenter Windows Server 2022 Datacenter Linux OS options CBL-Mariner CBL-Mariner CBL-Mariner Container Runtime Containerd for Linux and Windows nodes. Containerd for Linux and Windows nodes. Containerd for Linux and Windows nodes. Node pool auto-scalar Yes No (manually add nodes) Yes Horizontal pod scalar Yes No Yes GPU support Yes No Yes Azure container registry Yes Yes Yes The following is a comparison between networking features for AKS enabled by Azure Arc deployment options: AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and Azure Stack HCI 22H2 Network creation and management You need to create the network in Azure Stack HCI 23H2 before creating an AKS cluster. You also need to ensure the network has the right connectivity and IP address availability for a successful cluster creation and operation. You need to provide the IP address range for node IPs and Service IPs, that is available and has the right connectivity. The network configuration needed for the cluster is handled by AKS. Read AKS Edge Essentials networking. You need to create the network in Windows Server before creating an AKS cluster. You also need to ensure the Read network has the right connectivity and IP address availability for a successful cluster creation and operation. Supported networking options Static IP networks with/without VLAN ID Static IP address or use reserved IPs when using DHCP DHCP networks with/without VLAN ID Static IP networks with/without VLAN ID SDN support No No Yes Supported CNIs Calico Calico (K8s) Flannel (K3s) Calico Load balancer MetalLB Arc extension Bring your own load balancer (BYOLB) KubeVIP MetalLB Arc extension Bring your own load balancer (BYOLB) HAProxy MetalLB Arc extension SDN load balancer Bring your own load balancer (BYOLB) The following is a comparison between storage features for AKS enabled by Azure Arc deployment options: AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and Azure Stack HCI 22H2 Types of supported persistent volumes Read Write Once Read Write Many PVC using local storage Read Write Once Read Write Many Container Storage Interface (CSI) support Yes Yes Yes CSI drivers Disk and Files (SMB and NFS) drivers installed by default. Support for SMB and NFS storage drivers. Support for SMB and NFS storage drivers. Dynamic provisioning support Yes Yes Yes Volume resizing support Yes Yes Yes The following is a comparison between security and authentication options in AKS and AKS enabled by Azure Arc: AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and Azure Stack HCI 22H2 Access to Kubernetes clusters Kubectl Kubectl Kubectl Kubernetes cluster authentication Certificate based Kubeconfig Microsoft Entra ID Certificate based Kubeconfig Microsoft Entra ID Certificate based Kubeconfig Microsoft Entra ID Active Directory SSO Kubernetes cluster authorization (RBAC) Kubernetes RBAC Azure RBAC Kubernetes RBAC Kubernetes RBAC Support for network policies No No Yes – only for Linux containers Limit source networks that can access API server Yes Yes Yes Certificate rotation and encryption Yes Yes Yes Secrets store CSI driver Yes Yes Yes gMSA support No Yes Yes Azure policy Yes, via Arc extensions Yes, via Arc extensions Yes, via Arc extensions Azure Defender No Yes, via Arc extensions (preview) Yes, via Arc extensions (preview) The following is a comparison between pricing and SLA for AKS and AKS enabled by Azure Arc: AKS on Azure Stack HCI, version 23H2 AKS Edge Essentials AKS on Windows Server and Azure Stack HCI 22H2 Pricing Pricing is based on the number of workload cluster vCPUs. Control plane node nodes are free. Azure Stack HCI, version 23H2 is priced a $10/physical core and AKS workload VMs is $24/vcpu/month. $2.50 per device per month. Pricing is based on the number of workload cluster vCPUs. Control plane nodes & load balancer VMs are free. Azure Stack HCI, version 23H2 is priced a $10/physical core and AKS workload VMs is $24/vcpu/month. Azure hybrid benefit support Yes No Yes SLA No SLA offered since the Kubernetes cluster is running on-premises. No SLA offered since the Kubernetes cluster is running on-premises. No SLA offered since the Kubernetes cluster is running on-premises.
