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Announcing Jumpstart ArcBox 25Q1 general availability
We are thrilled to announce the first major update to ArcBox following our release of ArcBox 3.0 in August 2024. ArcBox has been an invaluable resource for IT professionals, DataOps teams, and DevOps practitioners, providing comprehensive solutions to evaluate how to deploy, manage, and operate Arc-enabled environments. With this release, we have introduced Windows Server 2025 on both the ArcBox-Client as well as in a nested VM, making it possible for you to evaluate a range of new features and enhancements that elevate the functionality, performance, and user experience. WinGet and Windows Terminal Integration One of the standout enhancements in Windows Server 2025 is the inclusion of WinGet and Windows Terminal. These tools are now built-in components of Windows Server 2025 and no longer require bootstrapping in our automation processes. Advanced Management Capabilities for Arc-enabled servers Windows Server 2025 introduces new management capabilities specifically designed for Arc-enabled servers. These capabilities enhance the control and oversight of server environments, providing more robust tools for monitoring, configuration, and maintenance. The enhancements are now available in ArcBox to be evaluated. SSH Included and Enabled Another significant update in Windows Server 2025 is the inclusion of SSH as a native component. This addition is a major step forward, as it eliminates the need for external SSH installations. However, it is important to note that while SSH is included, it needs to be enabled manually. This feature enhances secure access to servers, facilitating more efficient remote management and operations. In ArcBox, SSH is enabled by the automated setup and ready to start evaluating. SSH for Arc-enabled servers enables SSH based connections to Arc-enabled servers without requiring a public IP address or additional open ports. This functionality can be used interactively, automated, or with existing SSH based tooling, allowing existing management tools to have a greater impact on Azure Arc-enabled servers. You can use Azure CLI or Azure PowerShell to connect to one of the Azure Arc-enabled servers using SSH. In addition to SSH, you can also connect to the Azure Arc-enabled servers, Windows Server virtual machines using Remote Desktop tunneled via SSH. Also, Remote PowerShell over SSH is available for Windows and Linux machines. SSH for Arc-enabled servers also enables SSH-based PowerShell Remoting connections to Arc-enabled servers without requiring a public IP address or additional open ports. After setting up the configuration, we can use native PowerShell Remoting commands. Configurable SQL Server Edition to support Performance Dashboards ArcBox now provides the flexibility to deploy SQL Server Standard or Enterprise editions on the ArcBox-SQL guest VM, replacing the previously default Developer edition. This enhancement empowers users to experience advanced Arc-enabled SQL Server monitoring through Performance Dashboard reports. Available in both the ITPro and DataOps configurations, this feature ensures tailored performance monitoring capabilities for diverse use cases. To configure the SQL Server edition during deployment: Portal Deployment: Specify the desired SQL Server edition during setup. Bicep Deployment: Use the sqlServerEdition parameter to define the edition. ARM Template Deployment: Set the edition via the sqlServerEdition parameter. Below is an example Performance Dashboard report from an Arc-enabled SQL Server using the Standard or Enterprise editions, highlighting comprehensive insights and monitoring capabilities. Cost Optimizations We optimized the storage costs significantly by changing the ArcBox Client VM data disk from Premium SSD to Premium SSD v2. This change allows for better performance at a lower cost, making ArcBox even more economical for various use cases. With this optimization, users can enjoy faster data access speeds and increased storage efficiency. We also introduced support for enabling Azure VM Spot pricing for the ArcBox 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 development 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 ArcBox Client Virtual Machine in the East US region: Visit the ArcBox FAQ to see the updated price estimates for running ArcBox in your environment. The new deployment parameter enableAzureSpotPricing is disabled by default, so users who wants to take advantage of this capability will need to opt-in. Along with the option to opt-in for Azure Spot pricing, we also added new parameters for enabling Auto Shutdown: Auto Shutdown is enabled by default, and will configure the built-on Auto-shutdown feature for Azure VMs: Summary The latest update to ArcBox not only focuses on new features but also on enhancing overall cost and performance. The integration of new operating system versions and management capabilities ensures a smoother, more efficient workflow for IT professionals, DataOps teams, and DevOps practitioners to evaluate Azure Arc services. We invite our community to explore these new features and take full advantage of the enhanced capabilities of ArcBox with Windows Server 2025 support. Your feedback is invaluable to us, and we look forward to hearing about your experiences and insights as you navigate these new enhancements. Watch our release announcement episode of Jumpstart Lightning and get started today by visiting aka.ms/JumpstartArcBox!
liorkamrat
Mar 03, 2025 Place Azure Arc Blog
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Announcing Preview of Azure AI Video Indexer Cloud-to-Edge Version
Introducing the Public Preview of Azure Video Indexer enabled by Arc: Harness the full capabilities of Video and Audio Content Anywhere. We are excited to unveil that Azure Video Indexer cloud offering is expanding, as part of Microsoft’s adaptive cloud approach. The newly released Video Indexer extension can run within Azure Arc-enabled Kubernetes cluster. This tool allows you to harness the full capabilities of video and audio content from any location. Register for the public preview by submitting this form.
shemers
Jan 20, 2025 Place Azure Arc Blog
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Fault Tolerant, Durable, Edge Kubernetes Storage with Azure Container Storage enabled by Azure Arc
Azure Container Storage enabled by Azure Arc [Previously named “Edge Storage Accelerator”] – a groundbreaking addition to our Azure storage solutions, designed to revolutionize data handling at the edge. We invite you to explore the capabilities of Edge Volumes and experience the benefits of advanced edge storage solutions firsthand. At the edge, customers have many struggles with data: sharing, resiliency, storage capacity, space management, and cloud connection, among others. We are proud to announce Azure Container Storage enabled by Azure Arc, a first-party Arc Extension designed to solve these customer Kubernetes storage challenges. ACSA offers a fault tolerant, highly available, persistent ReadWriteMany file system using Kubernetes native PVCs. Simply write to an ACSA PVC as if it were your local file system. ACSA offers two main storage configuration options. The Local Shared Edge Volume allows for shared ReadWriteMany storage that remains local to your Kubernetes cluster. This configuration is ideal for persistent application storage, such as databases, data historians, and other data processing scenarios. The Ingest Cloud Edge Volume, ACSA’s second configuration option, uploads data written by applications to Azure storage destinations, such as Blob, ADLSgen2, and OneLake Fabric. Ingest volumes also have user configurable policies for flexibility of data upload throughput and ordering. ACSA follows security best practices by leveraging Managed Identity capabilities and always implementing the latest version of the Blob SDK. Cloud Edge Volumes are disconnection tolerant to losses in network connectivity: ACSA will continue to accept application writes and will automatically upload that data once the connection is reestablished. ACSA accepts all file data you create at the edge, whether it be parquet files, time series data, photos, video, etc. With the option to keep it local to your Kubernetes cluster or send it to a cloud destination, ACSA can handle it for you. ACSA is available as a standard component of the Azure IoT Operations GA release and is suitable for production workloads.  Try Out Edge Volumes Today! 📄 Get started by visiting this documentation. Jumpstart Drops make installation a breeze. Try out both Local Shared and Cloud Ingest.
anthonyjoint
Nov 19, 2024 Place Azure Arc Blog
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Outperform the competition with a unified approach to data and AI
Organizations around the world are excited by the opportunity to leverage data to improve productivity and efficiency while also creating new revenue streams and competitive differentiation. With the increasing availability of AI tools to reason over the massive quantity of data produced each day, these goals have never been closer to reality. However, the ability to effectively harness AI at scale across large, distributed data estate requires a new approach. At Ignite 2024, Microsoft is making a variety of exciting announcements regarding how customers can collect data from any source, process and analyze that data locally and globally for AI-enabled insights anywhere, and securely share those insights with employees and the ecosystem. These announcements include the General Availability of Azure IoT Operations, the General Availability of Fabric Real-Time Intelligence, new capabilities for Azure Video Indexer, enabled by Arc, and a new Arc-enabled service focused on enabling generative AI applications at the edge. These announcements build upon Azure's adaptive cloud approach, a new paradigm to accelerate adoption of cloud innovations in scenarios extending beyond our hyperscale datacenters. The adaptive cloud approach unifies hybrid, multi-cloud, and edge infrastructure with a common operations, innovation, and insights platform, enabled by Azure Arc. Organizations that choose to embrace this methodology can drive consistency in how they manage and secure infrastructure, applications and data, as well as in how they collect and contextualize data. The ability to reduce operational complexity and improve visibility can serve as a powerful combination to help organizations accelerate digital transformation outcomes. Distributed organizations have distributed data Today, it is common for organizations to have a data estate that is distributed across a variety of physical locations. According to global research firm Gartner: "Gartner® predicts that, by 2025, more than 50% of enterprise managed-data will be created and processed outside the data center or cloud.”* There are a variety of reasons why distributed data is the norm versus an exception. Many organizations have a global footprint or have operations that span multiple physical locations. Additionally, organizations in any industry may go through acquisitions, introducing new physical and digital technology infrastructure. They may do business in countries with specific data privacy or security requirements. They may also be leveraging data for real-time or near real-time business processes that require very low latency. While there are valid reasons data lives in multiple locations and systems, this reality can also impede the ability to derive value from that data. Imagine a manufacturer with a goal to improve its yield across sites, an energy company aiming to reduce its global carbon footprint - or a retailer that would like to improve the in-store experience by leveraging consumer data across brands. None of these scenarios can be accomplished with a fragmented enterprise data management strategy. In addition, many organizations are operating within complex ecosystems where the ability to share data and insights is paramount. Data sitting in multiple places and under the governance of multiple systems can also act as a barrier to valuable ecosystem participation. Leveraging an adaptive cloud approach to unify data and AI across a distributed estate As we spend time with customers around the globe with distributed data estates, it is clear a more holistic approach to data is required to achieve their business goals. There are several aspects of this holistic approach – the ability to collect data from any data source, the ability to process and analyze that data locally and globally for AI-enabled actionable insights anywhere, and the ability to securely share those insights with the people that need them to do their jobs, as well as key ecosystem partners. Microsoft’s adaptive cloud approach provides capabilities across each of these domains: Azure IoT Operations Today we’re announcing the General Availability of Azure IoT Operations, enabling IoT edge data collection, processing, and delivery of edge data into global systems. Azure IoT Operations provides the ability to connect and communicate with OPC UA servers, edge data normalization and contextualization, scalable, bidirectional edge to cloud communication through native integration with Microsoft Fabric, tooling to power event driven applications at the edge, and an intuitive user interface to manage assets and configure data pipelines. Microsoft Fabric Microsoft Fabric is a comprehensive, end-to-end analytics and data platform built to meet the needs of organizations seeking a unified solution. It brings together all aspects of data management- spanning data integration, movement, processing, ingestion, transformation, real-time event routing, and reporting - into a single platform. Since the launch of Fabric Real-Time Intelligence at Microsoft Build, there's been continued customer excitement about the ability to build real-time solutions quickly and easily to solve key business problems. And now, Fabric Real-Time Intelligence is Generally Available. Microsoft Fabric offers a complete set of capabilities for event and streaming data with Real-Time Intelligence, including ingestion, transformation, storage, analytics, visualization, tracking, AI, and real-time actions. These capabilities are critical to help derive insights and meaning from the vast amount of data available through Azure IoT Operations. Real-Time Intelligence complements Fabric’s extensive suite of capabilities, including Data Engineering, Data Factory, Data Science, Data Warehousing, Power BI, and Database management, all integrated as part of a cohesive data experience. Instead of relying on different databases or data warehouses, organizations can centralize data storage with OneLake. Analytical models can be informed by bringing together data from multiple sources in one place. AI capabilities are seamlessly embedded within Fabric, eliminating the need for manual integration. With Fabric, customers can also easily transition their raw data into actionable insights for business users. From a data governance standpoint, Microsoft Fabric provides a set of capabilities that help customers manage, protect, monitor, and improve the discoverability of an organization's sensitive information. Azure IoT Operations is Azure Arc-enabled so when deploying applications to the edge, common standards, access controls, and policies are applied to data across distributed environments as well. This consistent approach to data governance across the data estate ensures the right people and partners can access the data and insights they need to perform their business function. Scaling AI initiatives on a unified data foundation Once organizations have a consistent edge to cloud data foundation that includes proper governance and security mechanisms, they are well positioned to scale their AI initiatives across the enterprise. As organizations invest in solutions build on the Azure AI platform, they want to be able to deploy them to any location where insights are needed and manage them in a consistent way. The adaptive cloud approach extends Kubernetes to the edge with Arc-enabled Kubernetes, providing the ability to create and deploy container-based AI applications to the edge and manage those over their lifecycle. As mentioned earlier, Azure-Arc managed applications also inherit policies from the Azure Resource Manager, providing access control for AI generated insights as well. An example of such an application is Azure AI Video Indexer. Azure AI Video Indexer enabled by Arc is an Azure Arc extension enabled service that runs video and audio analysis, and generative AI on edge devices. The solution is designed to run on Azure Arc enabled Kubernetes and supports many audio and video formats, including MP4 and other common formats. At Ignite, a new multi-modal video description feature is being launched in preview. This functionality leverages the generative AI Phi3.5v to produce video summaries by examining text, audio, and visual components without the need to view the entire video. At Ignite, we are also announcing the private preview of a new Arc-enabled service focused on enabling generative AI applications at the edge. This service is deployable as a turnkey Arc for Kubernetes extension and allows customers to use industry-leading small and large language models to search their on-premises data using a technique called Retrieval Augmented Generation, or “RAG”. With it, organizations can use Azure-consistent tools and APIs to create Copilot-like experiences, while meeting data locality and compliance requirements. As the technology to derive value from data continues to become more intelligent and more accessible, the need for a modern data foundation to support those tools increases as well. This modern data foundation must support the ability to uncover and act on insights anywhere and do so in a secure manner. At Ignite this year, we’re looking forward to meeting with you to discuss how Azure’s adaptive cloud approach can help unify your distributed data estate and scale your business outcomes. Learn more: You can find a full listing of opportunities to learn more about our Adaptive cloud approach at Ignite here: Adaptive Cloud at Ignite – GitHub. Source: * Gartner, Hype Cycle™ for Edge Computing, 2024, Thomas Bittman, 15 July 2024 (Report accessible to Gartner subscribers only). GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Kam_VedBrat
Nov 19, 2024 Place Azure Arc Blog
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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.
sijuman
Nov 19, 2024 Place Azure Arc Blog
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Increasing Security for SQL Server Enabled by Azure Arc
This blog covers the details about the least privilege mode and describes details of the configuration changes to the SQL Servers that will be Arc-enabled.
ntakru
Jul 14, 2024 Place Azure Arc Blog
2.5KViews
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Using Azure Policy to onboard multiple SQL Servers at scale to Azure Arc-enabled SQL Server - Part 1
If you're planning to onboard hundreds of instances, it's recommended to scale the Arc extension installation either through Azure policy or with a PowerShell script remotely. However, using Azure policy would be a much easier approach for managing a large number of instances, compared to manually executing a PowerShell script. In this particular blog post, I covered on how to simplify onboarding multiple SQL Servers to Azure Arc-enabled SQL Server at scale using Azure policy.
Ganapathivarma
Apr 15, 2024 Place Azure Arc Blog
9.2KViews
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Public Preview of Transparent Data Encryption and Credential Rotation for Arc SQL Managed Instance
We are thrilled to announce the Public Preview of Transparent Data Encryption (TDE) and Service-Managed Credential Rotation for Arc-enabled SQL Managed Instance.
ntakru
Jan 16, 2024 Place Azure Arc Blog
4KViews
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Enabling Microsoft Defender for Cloud for Arc Enabled SQL Server Machines
Microsoft Defender offers robust protection and detection capabilities for SQL servers, safeguarding your databases from potential threats and vulnerabilities. In this blog post, we will explore the key features and steps to enable Microsoft Defender for SQL servers, both in Azure-native and hybrid environments. By implementing these security measures, you can ensure the integrity and safety of your SQL server deployments.
Ganapathivarma
Dec 05, 2023 Place Azure Arc Blog
13KViews
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Announcing the General Availability of Jumpstart HCIBox
Almost one year ago the Jumpstart team released the public preview of HCIBox, our self-contained sandbox for exploring Azure Stack HCI capabilities without the need for physical hardware. Feedback from the community has been fantastic, with dozens of feature requests and issues submitted and resolved through our open-source community. Today, the Jumpstart team is excited to announce the general availability of HCIBox!
dalekirby
Nov 19, 2023 Place Azure Arc Blog
6.1KViews
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6Comments

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Jumpstart ArcBox 25Q1 general availability","conversation":{"__ref":"Conversation:conversation:4369184"},"id":"message:4369184","revisionNum":15,"uid":4369184,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:779869"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Cost reduction with Azure Spot VM, Windows Server 2025 support and new management capabilities, SQL Server Performance Dashboard support, and more!","metrics":{"__typename":"MessageMetrics","views":956},"postTime":"2025-01-22T06:34:24.540-08:00","lastPublishTime":"2025-01-22T07:17:42.648-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" We are thrilled to announce the first major update to ArcBox following our release of ArcBox 3.0 in August 2024. ArcBox has been an invaluable resource for IT professionals, DataOps teams, and DevOps practitioners, providing comprehensive solutions to evaluate how to deploy, manage, and operate Arc-enabled environments. \n With this release, we have introduced Windows Server 2025 on both the ArcBox-Client as well as in a nested VM, making it possible for you to evaluate a range of new features and enhancements that elevate the functionality, performance, and user experience. \n \n WinGet and Windows Terminal Integration \n One of the standout enhancements in Windows Server 2025 is the inclusion of WinGet and Windows Terminal. These tools are now built-in components of Windows Server 2025 and no longer require bootstrapping in our automation processes. \n \n Advanced Management Capabilities for Arc-enabled servers \n Windows Server 2025 introduces new management capabilities specifically designed for Arc-enabled servers. These capabilities enhance the control and oversight of server environments, providing more robust tools for monitoring, configuration, and maintenance. The enhancements are now available in ArcBox to be evaluated. \n \n SSH Included and Enabled \n Another significant update in Windows Server 2025 is the inclusion of SSH as a native component. This addition is a major step forward, as it eliminates the need for external SSH installations. However, it is important to note that while SSH is included, it needs to be enabled manually. This feature enhances secure access to servers, facilitating more efficient remote management and operations. \n In ArcBox, SSH is enabled by the automated setup and ready to start evaluating. \n \n \n \n SSH for Arc-enabled servers enables SSH based connections to Arc-enabled servers without requiring a public IP address or additional open ports. This functionality can be used interactively, automated, or with existing SSH based tooling, allowing existing management tools to have a greater impact on Azure Arc-enabled servers. \n You can use Azure CLI or Azure PowerShell to connect to one of the Azure Arc-enabled servers using SSH. \n \n \n In addition to SSH, you can also connect to the Azure Arc-enabled servers, Windows Server virtual machines using Remote Desktop tunneled via SSH. \n \n \n Also, Remote PowerShell over SSH is available for Windows and Linux machines. SSH for Arc-enabled servers also enables SSH-based PowerShell Remoting connections to Arc-enabled servers without requiring a public IP address or additional open ports. \n \n \n After setting up the configuration, we can use native PowerShell Remoting commands. \n \n Configurable SQL Server Edition to support Performance Dashboards \n ArcBox now provides the flexibility to deploy SQL Server Standard or Enterprise editions on the ArcBox-SQL guest VM, replacing the previously default Developer edition. This enhancement empowers users to experience advanced Arc-enabled SQL Server monitoring through Performance Dashboard reports. Available in both the ITPro and DataOps configurations, this feature ensures tailored performance monitoring capabilities for diverse use cases. \n To configure the SQL Server edition during deployment: \n Portal Deployment: Specify the desired SQL Server edition during setup. \n \n \n Bicep Deployment: Use the sqlServerEdition parameter to define the edition. \n \n \n ARM Template Deployment: Set the edition via the sqlServerEdition parameter. \n \n \n Below is an example Performance Dashboard report from an Arc-enabled SQL Server using the Standard or Enterprise editions, highlighting comprehensive insights and monitoring capabilities. \n \n Cost Optimizations \n We optimized the storage costs significantly by changing the ArcBox Client VM data disk from Premium SSD to Premium SSD v2. This change allows for better performance at a lower cost, making ArcBox even more economical for various use cases. With this optimization, users can enjoy faster data access speeds and increased storage efficiency. \n We also introduced support for enabling Azure VM Spot pricing for the ArcBox 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 development environments. By leveraging Spot pricing, users can significantly reduce their operational costs while maintaining the flexibility and scalability offered by Azure. \n 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 ArcBox Client Virtual Machine in the East US region: \n \n Visit the ArcBox FAQ to see the updated price estimates for running ArcBox in your environment. \n The new deployment parameter enableAzureSpotPricing is disabled by default, so users who wants to take advantage of this capability will need to opt-in. \n Along with the option to opt-in for Azure Spot pricing, we also added new parameters for enabling Auto Shutdown: \n \n \n Auto Shutdown is enabled by default, and will configure the built-on Auto-shutdown feature for Azure VMs: \n \n Summary \n The latest update to ArcBox not only focuses on new features but also on enhancing overall cost and performance. The integration of new operating system versions and management capabilities ensures a smoother, more efficient workflow for IT professionals, DataOps teams, and DevOps practitioners to evaluate Azure Arc services. \n We invite our community to explore these new features and take full advantage of the enhanced capabilities of ArcBox with Windows Server 2025 support. Your feedback is invaluable to us, and we look forward to hearing about your experiences and insights as you navigate these new enhancements. \n Watch our release announcement episode of Jumpstart Lightning and get started today by visiting aka.ms/JumpstartArcBox! \n \n 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Preview of Azure AI Video Indexer Cloud-to-Edge Version","conversation":{"__ref":"Conversation:conversation:3983701"},"id":"message:3983701","revisionNum":7,"uid":3983701,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:762123"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Introducing the Public Preview of Azure Video Indexer enabled by Arc: Harness the full capabilities of Video and Audio Content Anywhere. \n We are excited to unveil that Azure Video Indexer cloud offering is expanding, as part of Microsoft’s adaptive cloud approach. The newly released Video Indexer extension can run within Azure Arc-enabled Kubernetes cluster. This tool allows you to harness the full capabilities of video and audio content from any location. \n Register for the public preview by submitting this form. \n \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":4404},"postTime":"2023-11-15T11:16:33.236-08:00","lastPublishTime":"2025-01-20T04:33:56.292-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Azure AI Video Indexer, an Azure AI, solution with artificial intelligence and cognitive capabilities that are specifically designed for video content. It enables users to easily extract video insights and gain a deep understanding of the content they are analyzing. With Azure AI Video Indexer, turn your video estate into a smart archive using more than 30 AIs, making it easier than ever to manage analyzed video content. \n \n Achieve more out of Video Content with Azure AI Video Indexer enabled by Arc \n In the accelerated digital environment of today, the ability to leverage the strength of video data is imperative for organizations across industries. As we navigate an era defined by multimedia, the need for groundbreaking approaches that enable efficient management, accessibility, safety, and compliance of video libraries has never been greater. Azure AI Video Indexer transforms how you interact with your video assets – introducing the Azure AI Video Indexer enabled by Azure Arc. \n \n (Video Indexer enabled by Arc, hybrid deployment diagram) \n \n The Customer Value Story: Meeting the Demands of a Multi-Edge World \n Imagine this: Your organization has a vast media archive that is spread across various locations, such as offices, factories, or other computing sites. The challenge is to manage this hybrid setup using a single management layer. \n However, based on customer feedback, this may not always be feasible due to local regulations and compliance restrictions. Additionally, transferring terabytes of content files for indexing purposes can result in high overhead costs. Our innovative hybrid approach tackles these issues by allowing customers to implement a multi-edge approach. \n \n The Key Announcement: Azure AI Video Indexer Enabled by Arc in Public Preview \n We are thrilled to announce the public preview of the Azure AI Video Indexer powered by Azure Arc. This innovative hybrid cloud to edge solution enables our customers to run detection and classification-based Video AIs at the content location. \n \n Feature Deep Dive: Empowering Accessibility, Safety, and Compliance \n \n Video Accessibility Through AI: With the Azure AI Video Indexer powered by Arc, you can transform your videos into accessible resources using features like transcription, translation, OCR (optical character recognition), and captions. This opens new avenues for engagement and inclusiveness, allowing you to reach a broader audience effortlessly. \n Enhance content discoverability: By utilizing the Azure AI Video Indexer powered by Arc, you can improve the discoverability of your content. This tool uses AI-led video/audio processing capabilities including scenes, shots and key frames extractors, object detection, and transcription. Enables you to extract metadata insights at any location, eliminating the need to migrate content to the cloud for processing. This solution is designed to address data governance and regulation limitations, saving organizations time and effort. \n Enhanced Safety with Video AI: Prioritize safety and security with advanced video AI capabilities. Utilize object detection to identify vehicles and obstacles, enhancing people's safety in real-world scenarios. All of this is accessible through a single, seamless API endpoint. \n Cloud-to-Edge Hybrid Experience: We understand that every organization has unique needs. That is why we are expanding the Azure AI Video Indexer beyond its cloud-native offering. Introducing a web-based cloud-to-edge hybrid experience, harnessing the power of connected containers from cognitive services. \n \n \n Technology Applications: Faster Processing, Enhanced Privacy, Global Compliance \n With the Azure AI Video Indexer powered by Arc, you can expect: \n \n Faster Processing: Experience accelerated video processing that maximizes efficiency and productivity across the board. \n Global Compliance: Seamlessly navigate data residency regulations with confidence. With this public preview, we are setting new standards in compliance. \n Easier solution integration: You can now incorporate Video Indexer into your solution pipeline, enabling you to utilize Video Indexer's AI capabilities as part of your solution, regardless of where it is deployed. \n \n \n What capabilities are now available on the edge? \n \n Transcription: Transcribe video and audio content in one of the following languages: English, French, German, Italian, Spanish, Chinese, and Arabic. \n Translation, and Captioning: Translate the transcription of a video into any of the listed languages and create captions in various industry standard formats such as SRT, VTT, TXT, and others. \n Web UI (user interfaces) for editing transcription and translation: A user-friendly web interface for editing transcriptions, translations and OCR generated text. This allows end-users to easily validate and edit the text, ensuring that the resulting captions are accurate. \n Key frame, scenes, shots detection: Extracts Key frames from a video content at a rate of one frame per second, from which it identifies shots and scenes in the video clip. A license is a group of shots that show one event, A shot is a part of a video from one camera. A keyframe is a picture that represents a shot. \n OCR (Optical character recognition): Identifies characters shown in the video clip and will transcribe them. The OCR is supported in one of the following languages: English, French, German, Italian, Spanish, Chinese, and Arabic. \n Object detection: precision-oriented object detection model allowing customers to utilize the output to detect, tag, track, and search different objects. (to be available in the upcoming 60 days). \n BYO (Bring Your Own) - Video Indexer is introducing a \"Bring Your Own\" (BYO) AI model feature that allows customers to incorporate additional insights into the built-in insights and provide a seamless experience for the end user. With this feature, end users can search and view both types of insights in a single system. \n Additional AI models available in Video Indexer cloud offering will be available in Edge solution in the future. \n \n \n Closing Summary and Call to Action \n The extension empowers your organization to manage, analyze, and extract value from your multimedia assets with unprecedented ease, all while adhering to stringent data residency regulations. \n Do not miss the opportunity to fundamentally transform your approach to managing video content on hybrid cloud and edge landscapes. Join us in the public preview phase and witness the future of video content management today. Together, we will unlock the true potential of your video libraries. Use to submit an application to access the VI (Azure Video Indexer) enabled by Arc preview program and visit the documentation or this blog post to learn more about our video AI managed solution. \n Also, we suggest visiting Azure Arc Jumpstart community site to learn more about Arc offerings and run the Video Indexer enabled by Arc jumpstart scenario. \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"7112","kudosSumWeight":4,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zOTgzNzAxLTUyNTY2N2lBMzNFNDk3QjYyQTY1N0NB?revision=7\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zOTgzNzAxLTUyNjYxOGlDMjU2NEM3NjlFMENEN0Iy?revision=7\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4293133":{"__typename":"Conversation","id":"conversation:4293133","topic":{"__typename":"BlogTopicMessage","uid":4293133},"lastPostingActivityTime":"2024-11-19T05:49:19.135-08:00","solved":false},"User:user:1701359":{"__typename":"User","uid":1701359,"login":"anthonyjoint","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0xNzAxMzU5LU5PejJDOQ?image-coordinates=504%2C0%2C3528%2C3024"},"id":"user:1701359"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLUpYbHJRSg?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLUpYbHJRSg?revision=3","title":"clipboard_image-1-1731422273961.png","associationType":"BODY","width":16,"height":18,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLWFjVVBCYg?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLWFjVVBCYg?revision=3","title":"clipboard_image-2-1731422273963.png","associationType":"BODY","width":624,"height":433,"altText":""},"BlogTopicMessage:message:4293133":{"__typename":"BlogTopicMessage","subject":"Fault Tolerant, Durable, Edge Kubernetes Storage with Azure Container Storage enabled by Azure Arc","conversation":{"__ref":"Conversation:conversation:4293133"},"id":"message:4293133","revisionNum":3,"uid":4293133,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1701359"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":454},"postTime":"2024-11-19T05:49:19.135-08:00","lastPublishTime":"2024-11-19T05:49:19.135-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Azure Container Storage enabled by Azure Arc [Previously named “Edge Storage Accelerator”] – a groundbreaking addition to our Azure storage solutions, designed to revolutionize data handling at the edge. We invite you to explore the capabilities of Edge Volumes and experience the benefits of advanced edge storage solutions firsthand. \n At the edge, customers have many struggles with data: sharing, resiliency, storage capacity, space management, and cloud connection, among others. We are proud to announce Azure Container Storage enabled by Azure Arc, a first-party Arc Extension designed to solve these customer Kubernetes storage challenges. \n ACSA offers a fault tolerant, highly available, persistent ReadWriteMany file system using Kubernetes native PVCs. Simply write to an ACSA PVC as if it were your local file system. \n ACSA offers two main storage configuration options. The Local Shared Edge Volume allows for shared ReadWriteMany storage that remains local to your Kubernetes cluster. This configuration is ideal for persistent application storage, such as databases, data historians, and other data processing scenarios. \n The Ingest Cloud Edge Volume, ACSA’s second configuration option, uploads data written by applications to Azure storage destinations, such as Blob, ADLSgen2, and OneLake Fabric. Ingest volumes also have user configurable policies for flexibility of data upload throughput and ordering. ACSA follows security best practices by leveraging Managed Identity capabilities and always implementing the latest version of the Blob SDK. Cloud Edge Volumes are disconnection tolerant to losses in network connectivity: ACSA will continue to accept application writes and will automatically upload that data once the connection is reestablished. \n ACSA accepts all file data you create at the edge, whether it be parquet files, time series data, photos, video, etc. With the option to keep it local to your Kubernetes cluster or send it to a cloud destination, ACSA can handle it for you. \n ACSA is available as a standard component of the Azure IoT Operations GA release and is suitable for production workloads.  \n Try Out Edge Volumes Today! \n 📄 Get started by visiting this documentation. \n \n Jumpstart Drops make installation a breeze. Try out both Local Shared and Cloud Ingest. \n \n \n \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"2444","kudosSumWeight":2,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLUpYbHJRSg?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MjkzMTMzLWFjVVBCYg?revision=3\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4289599":{"__typename":"Conversation","id":"conversation:4289599","topic":{"__typename":"BlogTopicMessage","uid":4289599},"lastPostingActivityTime":"2024-11-19T05:43:43.677-08:00","solved":false},"User:user:218481":{"__typename":"User","uid":218481,"login":"Kam_VedBrat","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0yMTg0ODEtNDEyNDUzaUYxQ0YyMTJBMTU0MUIyMDQ"},"id":"user:218481"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWtoTkMzRA?revision=13\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWtoTkMzRA?revision=13","title":"WCO18_helicopterFactory_005.jpg","associationType":"COVER","width":2000,"height":1333,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWFLSmlqQg?revision=13\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWFLSmlqQg?revision=13","title":"image.png","associationType":"BODY","width":975,"height":548,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LURRZ0RvWg?revision=13\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LURRZ0RvWg?revision=13","title":"image.png","associationType":"BODY","width":1600,"height":900,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LUhhNjhaQQ?revision=13\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LUhhNjhaQQ?revision=13","title":"download.png","associationType":"BODY","width":975,"height":548,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LW9KMFhxSg?revision=13\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LW9KMFhxSg?revision=13","title":"image.png","associationType":"BODY","width":975,"height":548,"altText":""},"BlogTopicMessage:message:4289599":{"__typename":"BlogTopicMessage","subject":"Outperform the competition with a unified approach to data and AI","conversation":{"__ref":"Conversation:conversation:4289599"},"id":"message:4289599","revisionNum":13,"uid":4289599,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:218481"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":855},"postTime":"2024-11-19T05:43:43.677-08:00","lastPublishTime":"2024-11-19T05:43:43.677-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Organizations around the world are excited by the opportunity to leverage data to improve productivity and efficiency while also creating new revenue streams and competitive differentiation. With the increasing availability of AI tools to reason over the massive quantity of data produced each day, these goals have never been closer to reality. However, the ability to effectively harness AI at scale across large, distributed data estate requires a new approach. \n At Ignite 2024, Microsoft is making a variety of exciting announcements regarding how customers can collect data from any source, process and analyze that data locally and globally for AI-enabled insights anywhere, and securely share those insights with employees and the ecosystem. These announcements include the General Availability of Azure IoT Operations, the General Availability of Fabric Real-Time Intelligence, new capabilities for Azure Video Indexer, enabled by Arc, and a new Arc-enabled service focused on enabling generative AI applications at the edge. \n These announcements build upon Azure's adaptive cloud approach, a new paradigm to accelerate adoption of cloud innovations in scenarios extending beyond our hyperscale datacenters. The adaptive cloud approach unifies hybrid, multi-cloud, and edge infrastructure with a common operations, innovation, and insights platform, enabled by Azure Arc. Organizations that choose to embrace this methodology can drive consistency in how they manage and secure infrastructure, applications and data, as well as in how they collect and contextualize data. The ability to reduce operational complexity and improve visibility can serve as a powerful combination to help organizations accelerate digital transformation outcomes. \n Distributed organizations have distributed data \n Today, it is common for organizations to have a data estate that is distributed across a variety of physical locations. According to global research firm Gartner: \n \"Gartner® predicts that, by 2025, more than 50% of enterprise managed-data will be created and processed outside the data center or cloud.”* \n There are a variety of reasons why distributed data is the norm versus an exception. Many organizations have a global footprint or have operations that span multiple physical locations. Additionally, organizations in any industry may go through acquisitions, introducing new physical and digital technology infrastructure. They may do business in countries with specific data privacy or security requirements. They may also be leveraging data for real-time or near real-time business processes that require very low latency. While there are valid reasons data lives in multiple locations and systems, this reality can also impede the ability to derive value from that data. \n Imagine a manufacturer with a goal to improve its yield across sites, an energy company aiming to reduce its global carbon footprint - or a retailer that would like to improve the in-store experience by leveraging consumer data across brands. None of these scenarios can be accomplished with a fragmented enterprise data management strategy. In addition, many organizations are operating within complex ecosystems where the ability to share data and insights is paramount. Data sitting in multiple places and under the governance of multiple systems can also act as a barrier to valuable ecosystem participation. \n Leveraging an adaptive cloud approach to unify data and AI across a distributed estate \n As we spend time with customers around the globe with distributed data estates, it is clear a more holistic approach to data is required to achieve their business goals. \n There are several aspects of this holistic approach – the ability to collect data from any data source, the ability to process and analyze that data locally and globally for AI-enabled actionable insights anywhere, and the ability to securely share those insights with the people that need them to do their jobs, as well as key ecosystem partners. \n \n Microsoft’s adaptive cloud approach provides capabilities across each of these domains: \n Azure IoT Operations \n Today we’re announcing the General Availability of Azure IoT Operations, enabling IoT edge data collection, processing, and delivery of edge data into global systems. Azure IoT Operations provides the ability to connect and communicate with OPC UA servers, edge data normalization and contextualization, scalable, bidirectional edge to cloud communication through native integration with Microsoft Fabric, tooling to power event driven applications at the edge, and an intuitive user interface to manage assets and configure data pipelines. \n \n \n Microsoft Fabric \n Microsoft Fabric is a comprehensive, end-to-end analytics and data platform built to meet the needs of organizations seeking a unified solution. It brings together all aspects of data management- spanning data integration, movement, processing, ingestion, transformation, real-time event routing, and reporting - into a single platform. \n Since the launch of Fabric Real-Time Intelligence at Microsoft Build, there's been continued customer excitement about the ability to build real-time solutions quickly and easily to solve key business problems. And now, Fabric Real-Time Intelligence is Generally Available. Microsoft Fabric offers a complete set of capabilities for event and streaming data with Real-Time Intelligence, including ingestion, transformation, storage, analytics, visualization, tracking, AI, and real-time actions. These capabilities are critical to help derive insights and meaning from the vast amount of data available through Azure IoT Operations. \n Real-Time Intelligence complements Fabric’s extensive suite of capabilities, including Data Engineering, Data Factory, Data Science, Data Warehousing, Power BI, and Database management, all integrated as part of a cohesive data experience. Instead of relying on different databases or data warehouses, organizations can centralize data storage with OneLake. Analytical models can be informed by bringing together data from multiple sources in one place. AI capabilities are seamlessly embedded within Fabric, eliminating the need for manual integration. With Fabric, customers can also easily transition their raw data into actionable insights for business users. \n \n \n From a data governance standpoint, Microsoft Fabric provides a set of capabilities that help customers manage, protect, monitor, and improve the discoverability of an organization's sensitive information. Azure IoT Operations is Azure Arc-enabled so when deploying applications to the edge, common standards, access controls, and policies are applied to data across distributed environments as well. This consistent approach to data governance across the data estate ensures the right people and partners can access the data and insights they need to perform their business function. \n Scaling AI initiatives on a unified data foundation \n Once organizations have a consistent edge to cloud data foundation that includes proper governance and security mechanisms, they are well positioned to scale their AI initiatives across the enterprise. As organizations invest in solutions build on the Azure AI platform, they want to be able to deploy them to any location where insights are needed and manage them in a consistent way. The adaptive cloud approach extends Kubernetes to the edge with Arc-enabled Kubernetes, providing the ability to create and deploy container-based AI applications to the edge and manage those over their lifecycle. As mentioned earlier, Azure-Arc managed applications also inherit policies from the Azure Resource Manager, providing access control for AI generated insights as well. \n An example of such an application is Azure AI Video Indexer. Azure AI Video Indexer enabled by Arc is an Azure Arc extension enabled service that runs video and audio analysis, and generative AI on edge devices. The solution is designed to run on Azure Arc enabled Kubernetes and supports many audio and video formats, including MP4 and other common formats. At Ignite, a new multi-modal video description feature is being launched in preview. This functionality leverages the generative AI Phi3.5v to produce video summaries by examining text, audio, and visual components without the need to view the entire video. \n At Ignite, we are also announcing the private preview of a new Arc-enabled service focused on enabling generative AI applications at the edge. This service is deployable as a turnkey Arc for Kubernetes extension and allows customers to use industry-leading small and large language models to search their on-premises data using a technique called Retrieval Augmented Generation, or “RAG”. With it, organizations can use Azure-consistent tools and APIs to create Copilot-like experiences, while meeting data locality and compliance requirements. \n As the technology to derive value from data continues to become more intelligent and more accessible, the need for a modern data foundation to support those tools increases as well. This modern data foundation must support the ability to uncover and act on insights anywhere and do so in a secure manner. At Ignite this year, we’re looking forward to meeting with you to discuss how Azure’s adaptive cloud approach can help unify your distributed data estate and scale your business outcomes. \n Learn more: \n You can find a full listing of opportunities to learn more about our Adaptive cloud approach at Ignite here: Adaptive Cloud at Ignite – GitHub. \n Source: \n * Gartner, Hype Cycle™ for Edge Computing, 2024, Thomas Bittman, 15 July 2024 (Report accessible to Gartner subscribers only). GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. \n \n \n \n \n \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"12464","kudosSumWeight":2,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWtoTkMzRA?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWFLSmlqQg?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LURRZ0RvWg?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LUhhNjhaQQ?revision=13\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LW9KMFhxSg?revision=13\"}"}}],"totalCount":5,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg5NTk5LWtoTkMzRA?revision=13"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"WIDE","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4286735":{"__typename":"Conversation","id":"conversation:4286735","topic":{"__typename":"BlogTopicMessage","uid":4286735},"lastPostingActivityTime":"2024-11-19T02:15:00.031-08:00","solved":false},"User:user:1170555":{"__typename":"User","uid":1170555,"login":"sijuman","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-11.svg?time=0"},"id":"user:1170555"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg2NzM1LWl3bFNnUQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg2NzM1LWl3bFNnUQ?revision=3","title":"Arc marketplace.jpg","associationType":"BODY","width":3790,"height":1528,"altText":""},"BlogTopicMessage:message:4286735":{"__typename":"BlogTopicMessage","subject":"Announcing the Azure Arc ISV Partner Program at Ignite","conversation":{"__ref":"Conversation:conversation:4286735"},"id":"message:4286735","revisionNum":3,"uid":4286735,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1170555"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":986},"postTime":"2024-11-19T02:15:00.031-08:00","lastPublishTime":"2024-11-19T02:15:00.031-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Empowering Partners and Enhancing Customer Experience \n 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. \n What is Azure Arc? \n 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. \n Meet our partners \n 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: \n \n \n CloudCasa \n 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. \n DataStax \n 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. \n MongoDB \n 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. \n Redis \n 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. \n MinIO \n 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. \n Become an Arc Enabled Partner \n 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"9755","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjg2NzM1LWl3bFNnUQ?revision=3\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4189359":{"__typename":"Conversation","id":"conversation:4189359","topic":{"__typename":"BlogTopicMessage","uid":4189359},"lastPostingActivityTime":"2024-07-14T04:53:59.537-07:00","solved":false},"User:user:1310814":{"__typename":"User","uid":1310814,"login":"ntakru","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0xMzEwODE0LTM1NTAxMGk0RjI3MzkzMTEyNjI4RTFC"},"id":"user:1310814"},"BlogTopicMessage:message:4189359":{"__typename":"BlogTopicMessage","subject":"Increasing Security for SQL Server Enabled by Azure Arc","conversation":{"__ref":"Conversation:conversation:4189359"},"id":"message:4189359","revisionNum":11,"uid":4189359,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1310814"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" This blog covers the details about the least privilege mode and describes details of the configuration changes to the SQL Servers that will be Arc-enabled. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2481},"postTime":"2024-07-12T09:17:21.486-07:00","lastPublishTime":"2024-07-12T09:34:26.138-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Back in November 2023, the least privileges deployment model was introduced as a public preview. After thorough testing, we are excited to announce that the least privileges deployment mode for SQL Server enabled by Azure Arc will be become automatically available in the coming months if your Azure Extension for SQL Server is on the June, 2024 release (1.1.2717.190) or later. Starting in the August release, if there are any new Azure Arc-enabled SQL Servers which are automatically onboarded, they it will come with least privileges enabled as the default. This blog covers the details about the least privilege mode and describes details of the configuration changes to the SQL Servers that will be Arc-enabled. \n \n What is least privileges? \n The least privilege principle states that accounts and applications should only have access to the data and operations required. Now, with SQL Server enabled by Azure Arc, you can run the agent extension service with least privileges to perform the required tasks as per your Arc configuration, thus satisfying any requirements you may have to run the Azure Extension for SQL Server in the most secure manner. \n \n The Current Default State \n For releases prior to the February 2024 release of the Arc extension for SQL Server, when you install the Azure Arc extension for SQL Server, the installation creates a server-level role in SQL Server called SQLArcExtensionServerRole and a database-level role called SQLArcExtensionUserRole. It then adds NT_AUTHORITY\\SYSTEM to each role while granting permissions to enable features required by Azure Arc. \n In some enterprises, it is against policy to add NT AUTHORITY\\SYSTEM account to SQL Server roles even if it is scoped down to specific roles and permissions. If you are installing Azure Arc, you should make sure it abides by your organization’s IT policies. The least privilege mode has been designed to meet the permissions restrictions of such environments. \n \n The Least Privilege Mode \n This section describes the configuration changes made to Arc-enabled SQL Server when least privileges mode is deployed. In least privileges mode, SQL Server enabled by Azure Arc creates a new local Windows virtual account: NT Service\\SQLServerExtension. \n This account is granted the minimum required privileges to run the Azure extension for SQL Server service on the Windows operating system and it only has access to folders and directories used for reading and storing configuration or writing logs. Additionally, it is granted permission to connect and query in SQL Server with a new login for that service account with the minimum permissions required by assigning that login to the SQLArcExtensionUserRole server-level and database-level roles. \n \n Prerequisites for running least privilege \n \n Windows Server 2012 or later \n SQL Server 2012 or later \n Linux is not applicable \n \n How to Validate if Least Privilege is Enabled in Your Environment \n Please reference the documentation to validate if least privileges is enabled for your SQL Server: https://learn.microsoft.com/en-us/sql/sql-server/azure-arc/configure-least-privilege?view=sql-server-ver16. \n \n Where Can I Find Details on the Roles, Permissions and Files \n For details on the permissions granted for the NT Service\\SQLServerExtension account, please reference this documentation link: https://learn.microsoft.com/en-us/sql/sql-server/azure-arc/configure-windows-accounts-agent?view=sql-server-ver16. \n \n How will the Public Preview of Least Privileges Mode impact your current environment \n We are automatically rolling out least privilege mode to all customers in the coming months. There is no action that you need to take to enable least privileges as it will be automatically enabled in the environment when deployed. \n \n If you would like to see the log file for the changes that are occurring when least privileges is enabled,this is the deployer log file where least privileges logs are present: C:\\ProgramData\\GuestConfig\\extension_logs\\Microsoft.AzureData.WindowsAgent.SqlServer<extension_version>\\deployer.log \n \n Can Least Privileges mode be disabled? How can I control deployment of least privileges mode? \n If you would like to control when least privileges rolls out, you can block the extension upgrade to version 1.1.2717.190 or newer. If you do not block the extension upgrade, then least privileges will roll out automatically in your environment. Once least privileges is rolled out, it cannot be disabled. We are doing this to enhance security for all customers and do not recommend disabling the mode. \n \n Nikita Takru \n Product Manager at Microsoft, Azure Data \n 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Azure Policy to onboard multiple SQL Servers at scale to Azure Arc-enabled SQL Server - Part 1","conversation":{"__ref":"Conversation:conversation:3788886"},"id":"message:3788886","revisionNum":9,"uid":3788886,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1286159"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" If you're planning to onboard hundreds of instances, it's recommended to scale the Arc extension installation either through Azure policy or with a PowerShell script remotely. However, using Azure policy would be a much easier approach for managing a large number of instances, compared to manually executing a PowerShell script. In this particular blog post, I covered on how to simplify onboarding multiple SQL Servers to Azure Arc-enabled SQL Server at scale using Azure policy. \n \n \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":9185},"postTime":"2023-04-05T17:58:00.892-07:00","lastPublishTime":"2023-07-04T03:07:51.196-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" The demand for deploying agents in bulk on on-premise SQL servers is increasing, and manual deployment of the agent in bulk is a highly time-consuming task. \n \n Azure Arc-enabled SQL Server extends Azure services to SQL Server instances hosted outside of Azure: in your data center, in edge site locations like retail stores, or any public cloud or hosting provider. It's worth noting that the SQL Server instance that you intend to enable with Azure Arc can be installed on a virtual or physical machine running either Windows or Linux. \n \n To onboard a Azure Arc-enabled SQL server, If your SQL Server instance is not yet connected to Azure, you can initiate the connection process from the target machine by using the onboarding script. This script connects the server to Azure and installs the Azure extension specifically for SQL Server. Assuming that your server is already connected to Azure, you can proceed directly to the section titled \"When the machine is already connected to an Arc-enabled Server.\" \n \n You can refer to the table below to compare each method and decide which one suits your deployment needs best. For more in-depth information, click on the links to view the steps for each topic. \n \n \n \n \n Method \n \n \n Description \n \n \n \n \n \n \n Interactively \n \n \n Manually connect the SQL Server instance on a single physical or virtual machine that is not currently connected to Azure Arc. Connect when machine not connected to Azure \n \n \n \n \n Interactively \n \n \n Connect your SQL Server to Azure Arc with installer (.msi) \n \n \n \n \n Interactively \n \n \n Manually connect the SQL Server on a single physical or virtual machine that is already connected to Azure Arc. Connect your SQL Server to Azure Arc on a server already connected to Azure Arc \n \n \n \n \n At scale \n \n \n Automatically connect Azure Arc-enabled SQL Servers \n \n \n \n \n At scale \n \n \n Connect SQL Servers at scale using Azure policy \n \n \n \n \n At scale \n \n \n Connect SQL Server at scale using script \n \n \n \n \n At scale \n \n \n Connect SQL Server machines at scale with a Configuration Manager custom task sequence \n \n \n \n \n \n If you're planning to onboard hundreds of instances, it's recommended to scale the Arc extension installation either through Azure policy or with a PowerShell script remotely. However, using Azure policy would be a much easier approach for managing a large number of instances, compared to manually executing a PowerShell script. Using Azure Policy to install the SQL Server extension at scale on Arc-enabled SQL Server instances can be an efficient and effective solution, particularly for large environments with many servers to manage. When the policy is applied to a group of servers, it will automatically trigger the installation of the SQL Server extension on each server in the group. This can save a significant amount of time and effort compared to manually installing the extension on each server individually. \n \n \n Azure Arc-enabled SQL Server architecture \n \n In this particular blog post, I covered on how to simplify onboarding multiple SQL Servers to Azure Arc-enabled SQL Server at scale using Azure policy. \n \n Prerequisites \n \n Have an Azure account with an active subscription. If needed, create a free Azure Account \n Verify Arc connected machine agent prerequisites. The Arc agent must be running in the typical 'full' mode. \n Verify Arc connected machine agent network requirements \n Register resource providers. Specifically:\n \n Microsoft.AzureArcData \n Microsoft.HybridCompute \n \n \n For instructions, see Register resource providers. \n To Connect SQL Servers on Azure Arc-enabled servers at scale using Azure policy for you to create an Azure Policy assignment, your subscription requires the Resource Policy Contributor role assignment for the scope that you're targeting. The scope may be either subscription or resource group. \n You can deploy this lab environment by cloning the repository from the Azure Arc Git repo (Link) using powershell or Azure Cloud Shell. \n \n Use Azure Policy to connect multiple SQL Servers at Scale \n \n \n Navigate to the ArcSql-Levelup resource group, and then select the \"Policies\" option as depicted in the screenshot below. It's worth mentioning that policies can be enabled at either subscription or management group level, but for the purpose of this lab, we will enable them at the resource group level. \n \n \n \n \n \n Go to Assignments and click on Assign policy. \n \n \n \n \n \n Click on ellipsis against Policy definition field to select and assign policy. \n \n \n \n \n \n Enter \"SQL Server extension\" in the search field to search for SQL Server extension and assign policy, select “Configure Arc-enabled machines running SQL Server to have SQL Server extension installed” policy and click Add. \n \n \n You have the option to automatically connect SQL Server instances on multiple Arc-enabled machines by utilizing an Azure policy definition called \"Configure Arc-enabled machines running SQL Server to have SQL Server extension installed.\" \n By default, this policy definition isn't assigned to any specific scope. However, once you assign this policy definition to a chosen scope, it installs the Azure extension for SQL Server on all Azure Arc-enabled servers where SQL Server is installed. Once the extension is installed, it connects the SQL Server instances on the machine with Azure and continuously runs to detect changes to the SQL Server configuration and synchronize them with Azure. \n \n \n \n \n Leave the policy name suggested by Azure portal and make sure policy is enabled and click on Next. \n \n \n \n \n \n Click on Next again until you are in Remediation tab as shown in the screenshot below and select “Create a remediation task” check box to address non-compliance of SQL Servers. Review all the parameters highlighted and make sure they match in your policy definition and click Next. \n \n \n \n \n \n Enter resource non-compliant message as shown below or chose your own message and click “Review + Create”. \n \n \n \n \n 8. Review all the policy information and click Create. \n \n \n \n \n \n Once policy is created you will see this policy under Policy assignments as shown in the screenshot below. \n \n \n \n \n Click on Remediation under Policy Authoring and then select Remediation tasks tab as shown the in the screenshot below to view Remediation task status. This will take some time to assess Arc-enabled servers for SQL Server extension status and remediate by installing SQL Server extension. \n \n \n \n \n 11. Allow sometime to apply remediation and check status by clicking Refresh. \n \n \n \n Click anywhere on the remediation task to view remediated resources. \n \n \n \n \n Click on one of the servers to view SQL Server extension installed on the Arc-enabled server resource. \n \n \n \n \n \n Go to ArcSql-Levelup resource group and verify Arc-enabled SQL Server resources are created. \n \n \n \n Summary: \n In this blog post, I covered on how to simplify Onboarding multiple SQL Servers to Azure Arc-enabled SQL Server at scale using Azure policy. Azure Policy can certainly be an efficient way to install the SQL Server extension at scale on Arc-enabled SQL Server instances. \n In case you're interested in learning more about deployment options for Azure Arc enabled SQL Server, you can refer to the following Microsoft Docs article. The Azure Arc-enabled SQL Server lab environment can be deployed either through the ARM template in Azure Portal or by cloning the Azure Arc Git repository at \"https://github.com/microsoft/azure_arc.git\". 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Preview of Transparent Data Encryption and Credential Rotation for Arc SQL Managed Instance","conversation":{"__ref":"Conversation:conversation:3878835"},"id":"message:3878835","revisionNum":8,"uid":3878835,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1310814"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" We are thrilled to announce the Public Preview of Transparent Data Encryption (TDE) and Service-Managed Credential Rotation for Arc-enabled SQL Managed Instance. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":3992},"postTime":"2023-07-19T11:48:18.645-07:00","lastPublishTime":"2024-01-16T11:43:29.998-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" We are thrilled to announce the Public Preview of Transparent Data Encryption (TDE) and Service-Managed Credential Rotation for Arc-enabled SQL Managed Instance. With a focus on data security, this release introduces features to ensure that your sensitive information is protected. \n \n Transparent Data Encryption Overview \n \n Azure Arc-enabled SQL Managed Instance now supports a managed solution for encrypting-at-rest all your databases within a managed instance. TDE offers robust encryption to safeguard your data. \n \n Transparent Data Encryption Modes \n \n There are two modes that a user can specify when using Transparent Data Encryption: Customer-managed and Service-managed. This feature can be enabled via the Kubernetes spec and az CLI. \n \n \n \n \n \n \n \n \n Customer-managed keys (CMK) \n \n \n Service-managed keys (SMK) \n \n \n Disabled \n \n \n \n \n Use Cases \n \n \n Businesses that would like full control on the certificates encrypting their data. \n \n \n Businesses that would like the arc-enabled data controller to manage the certificates for them. \n \n \n Businesses would like to manually manage encryption of each database and their managed instance themselves. \n \n \n \n \n Characteristics \n \n \n User managed. Users bring the certificate to encrypt their data. \n \n \n Service managed. The service will create the certificate automatically. \n \n \n User managed. Users must manually load and enable encryption-at-rest on their managed instances. \n \n \n \n \n Deployment Process \n \n \n Users must create a Kubernetes secret with their certificate, then update their SQL MI Custom Resource spec. \n \n \n Users update their SQL MI Custom Resource spec. \n \n \n A series of Kubernetes exec commands as well as T-SQL commands for each database. \n \n \n \n \n \n Service Managed Credential Rotation Overview \n \n Azure Arc-enabled SQL Managed Instance now supports a simple way to rotate some service-managed credentials in your SQL Managed Instance for both the general purpose and business critical service tiers. The primary benefit of credential rotation is enhanced security. By regularly refreshing access credentials, potential security vulnerabilities due to compromised or outdated credentials are mitigated. \n \n \n \n \n \n Credential Management \n \n \n Credential Types \n \n \n Documentation Link \n \n \n \n \n Service-managed \n \n \n Most certificates, logins \n \n \n Rotate SQL Managed Instance service-managed credentials (preview) - Azure Arc | Microsoft Learn \n \n \n \n \n Customer-managed \n \n \n TLS certificate \n \n \n Rotate certificate Azure Arc-enabled SQL Managed Instance (indirectly connected) – Azure Arc | Microsoft Learn \n \n \n \n \n \n Overall, the Public Preview release of Transparent Data Encryption (TDE) and Credential Rotation for Arc-enabled SQL Managed Instance increases data security and management. With TDE, your sensitive information will be protected, and Credential Rotation ensures that access credentials are seamlessly refreshed for increased security. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"3237","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:3864340":{"__typename":"Conversation","id":"conversation:3864340","topic":{"__typename":"BlogTopicMessage","uid":3864340},"lastPostingActivityTime":"2023-12-05T06:46:54.305-08:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTU0NWkzNTIxMTQ1N0UyMkJFMEMx?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTU0NWkzNTIxMTQ1N0UyMkJFMEMx?revision=27","title":"arch_full.png","associationType":"TEASER","width":3840,"height":2160,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzMmkzRTExMTYyQTk0NjNGODFB?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzMmkzRTExMTYyQTk0NjNGODFB?revision=27","title":"Ganapathivarma_0-1688398124414.png","associationType":"BODY","width":2568,"height":1114,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzM2k2Nzg0REREOEY3QjU3OTY1?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzM2k2Nzg0REREOEY3QjU3OTY1?revision=27","title":"Ganapathivarma_1-1688398183524.png","associationType":"BODY","width":2570,"height":840,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzNGlGNDE5RjJDQjdFQzBFQjE4?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzNGlGNDE5RjJDQjdFQzBFQjE4?revision=27","title":"Ganapathivarma_0-1688398502093.png","associationType":"BODY","width":2526,"height":760,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTUzM2lEMjAxQUY2MzU5Nzk4NkIx?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTUzM2lEMjAxQUY2MzU5Nzk4NkIx?revision=27","title":"Ganapathivarma_0-1688420645148.png","associationType":"BODY","width":2484,"height":728,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzNWlCQjM2NzFENDY0NENCNDc1?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQzNWlCQjM2NzFENDY0NENCNDc1?revision=27","title":"Ganapathivarma_1-1688398613847.png","associationType":"BODY","width":1132,"height":946,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ0OGk2QjAzREVFOTc2RTZGNTNB?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ0OGk2QjAzREVFOTc2RTZGNTNB?revision=27","title":"Ganapathivarma_0-1688401657511.png","associationType":"BODY","width":1718,"height":1108,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ0OWkwNDUzQ0YyMzhGMDY4MjI4?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ0OWkwNDUzQ0YyMzhGMDY4MjI4?revision=27","title":"Ganapathivarma_1-1688401718210.png","associationType":"BODY","width":2718,"height":690,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ1MGlDOUZDOUM1QTREQUYyM0E4?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ1MGlDOUZDOUM1QTREQUYyM0E4?revision=27","title":"Ganapathivarma_2-1688401756373.png","associationType":"BODY","width":2720,"height":816,"altText":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ1MmkxQTk2MzA0OTA4Q0FCQjgy?revision=27\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0zODY0MzQwLTQ4NTQ1MmkxQTk2MzA0OTA4Q0FCQjgy?revision=27","title":"Ganapathivarma_4-1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Microsoft Defender for Cloud for Arc Enabled SQL Server Machines","conversation":{"__ref":"Conversation:conversation:3864340"},"id":"message:3864340","revisionNum":27,"uid":3864340,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:1286159"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n \n Microsoft Defender offers robust protection and detection capabilities for SQL servers, safeguarding your databases from potential threats and vulnerabilities. In this blog post, we will explore the key features and steps to enable Microsoft Defender for SQL servers, both in Azure-native and hybrid environments. By implementing these security measures, you can ensure the integrity and safety of your SQL server deployments. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":12596},"postTime":"2023-07-03T16:48:05.514-07:00","lastPublishTime":"2023-07-04T03:02:42.728-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Welcome back to the third installment of our multi part blog series on enhancing the security and management of Azure Arc Enabled SQL Server. In our previous posts, we explored how to evaluate SQL Server configurations using Best Practices Assessment for Azure Arc Enabled SQL Server (Post 1) and learned how to efficiently onboard multiple SQL servers at scale using Azure Policy (Post 2). Now, in multi part series, we will take another crucial step towards fortifying your SQL Server environment by enabling Microsoft Defender for Cloud on Arc Enabled SQL Server Machines. \n \n Microsoft Defender offers robust protection and detection capabilities for SQL servers, safeguarding your databases from potential threats and vulnerabilities. In this blog post, we will explore how Microsoft Defender for SQL servers can help detect and mitigate potential threats to your databases. We'll walk you through the process of enabling Microsoft Defender for Cloud on Azure Arc enabled SQL Server machines, generating incidents and alerts, and reviewing security recommendations to bolster your SQL Server security. Understanding Microsoft Defender for SQL Servers \n \n Microsoft Defender offers robust protection by detecting anomalous activities that indicate unusual and potentially harmful attempts to access or exploit SQL server databases. \n \n Alerts for Suspicious Database Activities: Microsoft Defender provides real-time alerts for suspicious database activities, potential vulnerabilities, SQL injection attacks, and unusual database access and query patterns. \n \n Protection for Hybrid Environments: Extend your Azure-native SQL server protections to safeguard SQL servers hosted in Azure, multicloud environments, and on-premises machines with Microsoft Defender. It fully supports hybrid environments and safeguards SQL servers hosted in Azure, multicloud environments, and even on-premises machines. Let's explore the supported configurations: \n \n SQL Server on Virtual Machines \n On-premises SQL servers \n Azure Arc-enabled SQL Server \n SQL Server running on Windows machines without Azure Arc \n Multicloud SQL servers:\n \n Connect your AWS accounts to Microsoft Defender for Cloud \n Connect your GCP project to Microsoft Defender for Cloud \n \n \n \n Identifying Vulnerabilities and Mitigating Threats \n The Microsoft Defender plan includes powerful functionality for identifying and mitigating potential database vulnerabilities, ensuring the robustness of your SQL server deployments. Through a comprehensive vulnerability assessment service, you can discover, track, and remediate potential database vulnerabilities. The assessment scans provide a comprehensive overview of your SQL machines' security state and detailed security findings. \n \n Prerequisites: \n \n Have an Azure account with an active subscription. If needed, create a free Azure Account \n You can deploy this lab environment by cloning the repository from the Azure Arc Git repo (Link) using powershell or Azure Cloud Shell. git clone -b lu_arc_sql https://github.com/microsoft/azure_arc.git \n SQL Server machine ( JSLU-Win-SQL-02) is deployed and enabled with Azure Arc extension \n Your Windows-based SQL Server instance is connected to Azure. Follow the instructions to onboard your SQL Server instance to Azure Arc-enabled SQL Server. \n Verify Arc connected machine agent prerequisites. The Arc agent must be running in the typical 'full' mode. \n Verify Arc connected machine agent network requirements \n Register resource providers. Specifically:\n \n Microsoft.AzureArcData \n Microsoft.HybridCompute \n \n \n For instructions, see Register resource providers. \n \n Your user account is assigned one of the Security Center Roles (RBAC) \n \n Enable VM insights for Azure Monitor Agent \n \n Enabling Microsoft Defender for Cloud on Arc enabled SQL Server Machines \n Step 1: Setting up Microsoft Monitoring Agent \n \n 1. Access Azure Arc by searching for it on the Azure home page and selecting Azure Arc. \n \n \n \n 2. Navigate to All Azure Arc Resources and choose your SQL Server instance (JSLU-Win-SQL-02) Server - Azure Arc resource. \n \n \n \n 3. Check if Microsoft Monitoring Agent is installed under the Extensions section. If it's in the status of Creating, wait for it to become Succeeded. \n \n \n \n 4. Return to the extensions page on your Arc-enabled server and refresh it until the status for MicrosoftMonitoringAgent shows \"Succeeded. \n \n \n \n \n 5. If the extension doesn't exist, follow Enable VM insights for Azure Monitor Agent to configure Microsoft Monitoring Agent. \n \n 6. Once Microsoft Monitoring Agent is successfully installed, proceed with adding Log Analytics Agent - Azure Arc. \n 7. Open another Azure Portal window and navigate to your resource group (ArcSql-Levelup). Then, choose your arcsqllevelup Log Analytics Workspace. 8. In the left menu blade, click on Agents, and expand the Log Analytics agent instructions. \n \n \n \n 9. Copy the Workspace ID and Primary key (Workspace Key) from your Log Analytics Workspace and paste them into the add extension page. Click Review + create and then Create. \n \n \n \n 10. Upon completion, you will have the following extensions successfully installed. \n \n \n \n \n Step 2: Enabling Defender for Cloud \n \n 1. Search for \"defender\" on the Azure home page and select Microsoft Defender for Cloud. \n 2. Click on \"Inventory\" from the left blade. \n \n \n \n 3.. Navigate to the Inventory page and filter Resource types to \"servers - azure arc and sql server - azure arc.\" \n \n \n \n 4. Check if Defender is already turned on for your Arc-enabled servers and SQL Servers at the subscription level. If not, enable it at the Resource Group level. \n \n 5. Expand the Tenant Root Group, and subsequently, select your subscription. \n \n \n \n 6. Enable the plans for Servers and Databases, and proceed to click on \"Select types\" under Pricing for Databases. \n \n \n \n 7. On the Resource types selection page, make sure to enable only \"SQL servers on machines\" and then proceed by clicking \"Continue.\" Next, Save the settings. \n \n \n \n \n 8. Return to the Environment settings page and click on \"Refresh\" to view the enabled plans at the subscription level. \n \n \n \n 9. Head over to the Inventory page, where you will notice that Defender for Cloud is now activated for both your Arc-enabled servers and SQL servers. \n \n \n \n Step 3: Generating Defender for Cloud Incidents and Alerts \n \n (Prerequisite) \n \n You can deploy this lab environment by cloning the repository from the Azure Arc Git repo (Link) using Powershell or Azure Cloud Shell \n For this demo, the PowerShell script from the provided GitHub repository link is utilized to simulate a brute force attack. \n \n 1. Log in to SQL Server machine ( JSLU-Win-SQL-02) that has been deployed for demo. Open PowerShell, change the directory to C:\\ArcBoxLevelup, and run .\\testDefenderForSQL.ps1, waiting for it to complete. \n \n \n \n \n \n Step 4: Reviewing Alerts from Defender \n \n 1. Search for \"Azure Arc\" on the Azure home page and select Azure Arc. \n \n \n \n 2. Choose your Arc enabled SQL Server machine (JSLU-Win-SQL-02) SQL Server - Azure Arc resource. \n \n \n \n 3. Select Microsoft Defender for Cloud from the left menu blade and review the number of Security alerts. \n \n \n \n 4. Explore further into the Recommendations section by selecting \"View additional recommendations\" in Defender for Cloud. \n \n \n \n 5. Scroll further to find your alerts and click on the suspected brute-force attack attempt. \n \n \n \n 6. Click anywhere on the alert to view its description. \n \n \n \n 7. Click View full details for more information on the user, client IP address, and cause. \n \n \n \n 8. Take action to review logs and mitigate the attack, suppress alerts, or configure email notifications. \n \n \n \n 9. Repeat the process for the Potential SQL Injection alert. \n 10. Navigate to the Search panel, enter \"Resource Graph,\" and then proceed to select \"Resource Graph Explorer.\" \n 11. Create a new query, execute it, and then choose \"Formatted results\" to visualize the data. Finally, pin the results to your dashboard for easy access and reference. \n \n \n \n \n \n securityresources\n\n| where type == \"microsoft.security/locations/alerts\"\n\n| project TimeGeneratedUtc = \nproperties.TimeGeneratedUtc, Id = tolower(tostring(properties.ResourceIdentifiers[0].AzureResourceId))\n\n, AlertName = properties.AlertDisplayName, Severity = \nproperties.Severity, Intent = properties.Intent, Status = properties.Status\n\n, AlertURL = properties.AlertUri\n\n| join kind = inner ( resources\n\n| where type startswith \"microsoft.hybridcompute/machines\"\n\n| project Id = tolower(tostring(id))\n\n) on Id\n\n| project TimeGeneratedUtc, Id, AlertName, Severity, Intent, Status, AlertURL \n \n \n \n \n \n \n \n Summary: \n In this blog post, we delve into the powerful capabilities of Microsoft Defender for SQL servers, a robust security solution designed to protect your databases from potential threats and vulnerabilities. The post explores how the Defender plan detects and alerts on anomalous activities, potential exploits, and SQL injection attacks, providing enhanced protection for your SQL servers. The blog further discusses how Microsoft Defender extends its protective capabilities to Azure-native SQL servers and hybrid environments, enabling seamless security across various deployment scenarios, including on-premises and multicloud environments. \n \n Thanks for reading this blog post. If you have any comments or questions, don’t hesitate to leave them in the comments section. To learn more about the services used in this post, check out the following resources: \n \n Using Azure Policy to onboard multiple SQL Servers at scale to Azure Arc-enabled SQL Server - Part 1 \n Evaluate SQL Server configuration using Best practices assessment for Azure Arc Enabled SQL Server \n The Azure Arc-enabled SQL Server lab environment can be deployed either through the ARM template in Azure Portal or by cloning cloning the repository from the Azure Arc Git repo (Link) \n 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the General Availability of Jumpstart HCIBox","conversation":{"__ref":"Conversation:conversation:3916293"},"id":"message:3916293","revisionNum":3,"uid":3916293,"depth":0,"board":{"__ref":"Blog:board:AzureArcBlog"},"author":{"__ref":"User:user:779878"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n Almost one year ago the Jumpstart team released the public preview of HCIBox, our self-contained sandbox for exploring Azure Stack HCI capabilities without the need for physical hardware. Feedback from the community has been fantastic, with dozens of feature requests and issues submitted and resolved through our open-source community. Today, the Jumpstart team is excited to announce the general availability of HCIBox! \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":6131},"postTime":"2023-09-07T08:05:00.040-07:00","lastPublishTime":"2023-09-07T08:05:00.040-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":"\n Almost one year ago the Jumpstart team released the public preview of HCIBox, our self-contained sandbox for exploring Azure Stack HCI capabilities without the need for physical hardware. Feedback from the community has been fantastic, with dozens of feature requests and issues submitted and resolved through our open-source community. \n \n Today, the Jumpstart team is excited to announce the general availability of HCIBox! \n \n \nSince our original preview release, we have also added new capabilities and optimizations, including the ability to deploy Azure Arc-enabled SQL Managed Instance on the HCIBox cluster, improved support for AKS on Azure Stack HCI, improved recovery from deployment failures, and overall reduction in deployment time and cost. \n \n \n HCIBox is used by thousands of customers, partners, and Microsoft field architects and engineers every month for hands-on skilling, labs, training events, product demos, and initial customer proof-of-concept projects. Because no physical hardware is required to use HCIBox, quickly validating basic HCI scenarios is very easy and fast when using HCIBox. This adoption accelerator helps inspire confidence in Azure Stack HCI with our customers and results in quicker turnaround for project kickoff. \n \n Be sure to check out our GA launch video below to learn more and see a quick demo. Deploy your own HCIBox and get started today. \n \n \n 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