Empowering Disaster Recovery for Azure VMs with Azure Site Recovery and Terraform
Discover how to ensure business continuity and achieve disaster recovery for your Azure Virtual Machines with ease. Learn how to integrate seamlessly with Azure Site Recovery using Terraform, providing a simple, secure, and cost-effective way to replicate VMs across regions. Stay prepared for any outage with a failover process that keeps your apps running, all while paying only for storage and traffic to the secondary region. Don't miss this opportunity to fortify your VM infrastructure and maintain uninterrupted operations!Azure Course Blueprints
Overview The Course Blueprint is a comprehensive visual guide to the Azure ecosystem, integrating all the resources, tools, structures, and connections covered in the course into one inclusive diagram. It enables students to map out and understand the elements they've studied, providing a clear picture of their place within the larger Azure ecosystem. It serves as a 1:1 representation of all the topics officially covered in the instructor-led training. Formats available include PDF, Visio, Excel, and Video. Links: Each icon in the blueprint has a hyperlink to the pertinent document in the learning path on Learn. Layers: You have the capability to filter layers to concentrate on segments of the course by modules. I.E.: Just day 1 of AZ-104, using filters in Visio and selecting modules 1-3 Integration: The Visio Template+ for expert courses like SC-100 and AZ-305 includes an additional layer that enables you to compare SC-100, AZ-500, and SC-300 within the same diagram. Similarly, you can compare any combination of AZ-305, AZ-700, AZ-204, and AZ-104 to identify differences and study gaps. Since SC-300 and AZ-500 are potential prerequisites for the expert certification associated with SC-100, and AZ-204 or AZ-104 for the expert certification associated with AZ-305, this comparison is particularly useful for understanding the extra knowledge or skills required to advance to the next level. Advantages for Students Defined Goals: The blueprint presents learners with a clear vision of what they are expected to master and achieve by the course’s end. Focused Learning: By spotlighting the course content and learning targets, it steers learners’ efforts towards essential areas, leading to more productive learning. Progress Tracking: The blueprint allows learners to track their advancement and assess their command of the course material. Topic List: A comprehensive list of topics for each slide deck is now available in a downloadable .xlsx file. Each entry includes a link to Learn and its dependencies. Download links Associate Level PDF Visio Released Updated Contents Video Overview Demo Deploy AZ-104 Azure Administrator Associate Blueprint Template 12/14/2023 10/28/2024 Contents Module 01 Microsoft Trainer Demo Deploy AZ-204 Azure Developer Associate Blueprint Template 11/05/2024 11/11/2024 Contents Microsoft Trainer Demo Deploy AZ-500 Azure Security Engineer Associate Blueprint Template+ 01/09/2024 10/10/2024 Contents Microsoft Trainer Demo Deploy AZ-700 Azure Network Engineer Associate Blueprint Template 01/25/2024 11/04/2024 Contents Microsoft Trainer Demo Deploy SC-300 Identity and Access Administrator Associate Blueprint Template 10/10/2024 Contents Specialty PDF Visio Released Updated AZ-140 Azure Virtual Desktop Specialty Blueprint Template 01/03/2024 02/27/2025 Contents Expert level PDF Visio Released Updated AZ-305 Designing Microsoft Azure Infrastructure Solutions Blueprint Template+ AZ-104 AZ-204 AZ-700 AZ-140 05/07/2024 02/05/2025 Contents Microsoft Trainer Demo Deploy SC-100 Microsoft Cybersecurity Architect Blueprint [PDF] Template+ AZ-500 SC-300 10/10/2024 Contents Skill based Credentialing PDF Visio Released Updated AZ-1002 Configure secure access to your workloads using Azure virtual networking Blueprint Blueprint Template 05/27/2024 Contents AZ-1003 Secure storage for Azure Files and Azure Blob Storage Blueprint Template 02/07/2024 02/05/2024 Contents Benefits for Trainers: Trainers can follow this plan to design a tailored diagram for their course, filled with notes. They can construct this comprehensive diagram during class on a whiteboard and continuously add to it in each session. This evolving visual aid can be shared with students to enhance their grasp of the subject matter. Introduction to Course Blueprint for Trainers [10 minutes + comments] Real life demo AZ-104 Advanced Networking section [3 minutes] Visio stencils Azure icons - Azure Architecture Center | Microsoft Learn AZ-104 Overview of Mod 01 using Azure Course Blueprint __ Practical Scenario Demo with Demo Deploy To enhance your learning experience, we're linking Demo Deploy with Azure Course Blueprints. This tool will allow you to: See Practical Applications: Understand how different portions of the course content are applied in real-world scenarios. Contextual Learning: Visualize where each topic fits within the larger Azure ecosystem and the specific context of the course. This integration ensures a comprehensive and practical approach to learning, making it easier to grasp and apply the concepts covered in the course. Microsoft Trainer Demo Deploy ___ Subscribe if you want to get notified of any update like new releases or updates. My email ilan.nyska@microsoft.com LinkedIn https://www.linkedin.com/in/ilan-nyska/ Please consider sharing your anonymous feedback <-- Thank you for your support!Azure VMware Solution Availability Design Considerations
Azure VMware Solution Design Series Availability Design Considerations Recoverability Design Considerations Performance Design Considerations Security Design Considerations VMware HCX Design with Azure VMware Solution Overview A global enterprise wants to migrate thousands of VMware vSphere virtual machines (VMs) to Microsoft Azure as part of their application modernization strategy. The first step is to exit their on-premises data centers and rapidly relocate their legacy application VMs to the Azure VMware Solution as a staging area for the first phase of their modernization strategy. What should the Azure VMware Solution look like? Azure VMware Solution is a VMware validated first party Azure service from Microsoft that provides private clouds containing VMware vSphere clusters built from dedicated bare-metal Azure infrastructure. It enables customers to leverage their existing investments in VMware skills and tools, allowing them to focus on developing and running their VMware-based workloads on Azure. In this post, I will introduce the typical customer workload availability requirements, describe the Azure VMware Solution architectural components, and describe the availability design considerations for Azure VMware Solution private clouds. In the next section, I will introduce the typical availability requirements of a customer’s workload. Customer Workload Requirements A typical customer has multiple application tiers that have specific Service Level Agreement (SLA) requirements that need to be met. These SLAs are normally named by a tiering system such as Platinum, Gold, Silver, and Bronze or Mission-Critical, Business-Critical, Production, and Test/Dev. Each SLA will have different availability, recoverability, performance, manageability, and security requirements that need to be met. For the availability design quality, customers will normally have an uptime percentage requirement with an availability zone (AZ) or region requirement that defines each SLA level. For example: SLA Name Uptime AZ/Region Gold 99.999% (5.26 min downtime/year) Dual Regions Silver 99.99% (52.6 min downtime/year) Dual AZs Bronze 99.9% (8.76 hrs downtime/year) Single AZ Table 1 – Typical Customer SLA requirements for Availability A typical legacy business-critical application will have the following application architecture: Load Balancer layer: Uses load balancers to distribute traffic across multiple web servers in the web layer to improve application availability. Web layer: Uses web servers to process client requests made via the secure Hypertext Transfer Protocol (HTTPS). Receives traffic from the load balancer layer and forwards to the application layer. Application layer: Uses application servers to run software that delivers a business application through a communication protocol. Receives traffic from the web layer and uses the database layer to access stored data. Database layer: Uses a relational database management service (RDMS) cluster to store data and provide database services to the application layer. Depending upon the availability requirements for the service, the application components could be many and spread across multiple sites and regions to meet the customer SLA. Figure 1 – Typical Legacy Business-Critical Application Architecture In the next section, I will introduce the architectural components of the Azure VMware Solution. Architectural Components The diagram below describes the architectural components of the Azure VMware Solution. Figure 2 – Azure VMware Solution Architectural Components Each Azure VMware Solution architectural component has the following function: Azure Subscription: Used to provide controlled access, budget and quota management for the Azure VMware Solution. Azure Region: Physical locations around the world where we group data centers into Availability Zones (AZs) and then group AZs into regions. Azure Resource Group: Container used to place Azure services and resources into logical groups. Azure VMware Solution Private Cloud: Uses VMware software, including vCenter Server, NSX software-defined networking, vSAN software-defined storage, and Azure bare-metal ESXi hosts to provide compute, networking, and storage resources. Azure NetApp Files, Azure Elastic SAN, and Pure Cloud Block Store are also supported. Azure VMware Solution Resource Cluster: Uses VMware software, including vSAN software-defined storage, and Azure bare-metal ESXi hosts to provide compute, networking, and storage resources for customer workloads by scaling out the Azure VMware Solution private cloud. Azure NetApp Files, Azure Elastic SAN, and Pure Cloud Block Store are also supported. VMware HCX: Provides mobility, migration, and network extension services. VMware Site Recovery: Provides Disaster Recovery automation, and storage replication services with VMware vSphere Replication. Third party Disaster Recovery solutions Zerto DR and JetStream DR are also supported. Dedicated Microsoft Enterprise Edge (D-MSEE): Router that provides connectivity between Azure cloud and the Azure VMware Solution private cloud instance. Azure Virtual Network (VNet): Private network used to connect Azure services and resources together. Azure Route Server: Enables network appliances to exchange dynamic route information with Azure networks. Azure Virtual Network Gateway: Cross premises gateway for connecting Azure services and resources to other private networks using IPSec VPN, ExpressRoute, and VNet to VNet. Azure ExpressRoute: Provides high-speed private connections between Azure data centers and on-premises or colocation infrastructure. Azure Virtual WAN (vWAN): Aggregates networking, security, and routing functions together into a single unified Wide Area Network (WAN). In the next section, I will describe the availability design considerations for the Azure VMware Solution. Availability Design Considerations The architectural design process takes the business problem to be solved and the business goals to be achieved and distills these into customer requirements, design constraints and assumptions. Design constraints can be characterized by the following three categories: Laws of the Land – data and application sovereignty, governance, regulatory, compliance, etc. Laws of Physics – data and machine gravity, network latency, etc. Laws of Economics – owning versus renting, total cost of ownership (TCO), return on investment (ROI), capital expenditure, operational expenditure, earnings before interest, taxes, depreciation, and amortization (EBITDA), etc. Each design consideration will be a trade-off between the availability, recoverability, performance, manageability, and security design qualities. The desired result is to deliver business value with the minimum of risk by working backwards from the customer problem. Design Consideration 1 – Azure Region and AZs: Azure VMware Solution is available in 30 Azure Regions around the world (US Government has 2 additional Azure Regions). Select the relevant Azure Regions and AZs that meet your geographic requirements. These locations will typically be driven by your design constraints. Design Consideration 2 – Deployment topology: Select the Azure VMware Solution topology that best matches the uptime and geographic requirements of your SLAs. For very large deployments, it may make sense to have separate private clouds dedicated to each SLA for cost efficiency. The Azure VMware Solution supports a maximum of 12 clusters per private cloud. Each cluster supports a minimum of 3 hosts and a maximum of 16 hosts per cluster. Each private cloud supports a maximum of 96 hosts. VMware vSphere HA provides protection against ESXi host failures and VMware vSphere DRS provides distributed resource management. VMware vSphere Fault Tolerance is not supported by the Azure VMware Solution. These features are preconfigured as part of the managed service and cannot be changed by the customer. VMware vCenter Server, VMware HCX Manager, VMware SRM and VMware vSphere Replication Manager are individual appliances and are protected by vSphere HA. VMware NSX Manager is a cluster of 3 unified appliances that have a VM-VM anti-affinity placement policy to spread them across the hosts of the cluster. The VMware NSX Edge cluster is a pair of appliances that also use a VM-VM anti-affinity placement policy. Topology 1 – Standard: The Azure VMware Solution standard private cloud is deployed within a single AZ in an Azure Region, which delivers an infrastructure SLA of 99.9%. Figure 3 – Azure VMware Solution Private Cloud Standard Topology Topology 2 – Multi-AZ: Azure VMware Solution private clouds in separate AZs per Azure Region. VMware HCX is used to connect private clouds across AZs. Application clustering is required to provide the multi-AZ availability mechanism. The customer is responsible for ensuring their application clustering solution is within the limits of bandwidth and latency between private clouds. This topology will deliver an SLA of greater than 99.9%, however it will be dependent upon the application clustering solution used by the customer. The Azure VMware Solution does not support AZ selection during provisioning. This is mitigated by having separate Azure Subscriptions with quota in each separate AZ. You can open a ticket with Microsoft to configure a Special Placement Policy to deploy your Azure VMware Solution private cloud to a particular AZ per subscription. Figure 4 – Azure VMware Solution Private Cloud Multi-AZ Topology Topology 3 – Stretched: The Azure VMware Solution stretched clusters private cloud is deployed across dual AZs in an Azure Region, which delivers a 99.99% infrastructure SLA. This also includes a third AZ for the Azure VMware Solution witness site. Stretched clusters support policy-based synchronous replication to deliver a recovery point objective (RPO) of zero. It is possible to use placement policies and storage policies to mix SLA levels within stretched clusters, by pinning lower SLA workloads to a particular AZ, which will experience downtime during an AZ failure. This feature is GA and is currently only available in Australia East, West Europe, UK South and Germany West Central Azure Regions. Figure 5 – Azure VMware Solution Private Cloud with Stretched Clusters Topology Topology 4 – Multi-Region: Azure VMware Solution private clouds across Azure regions. VMware HCX is used to connect private clouds across Azure Regions. Application clustering is required to provide the multi-region availability mechanism. The customer is responsible for ensuring their application clustering solution is within the limits of bandwidth and latency between private clouds. This topology will deliver an SLA of greater than 99.9%, however it will be dependent upon the application clustering solution used by the customer. An additional enhancement could be using Azure VMware Solution stretched clusters in one or both Azure Regions. Figure 6 – Azure VMware Solution Private Cloud Multi-Region Topology Design Decision 3 – Shared Services or Separate Services Model: The management and control plane cluster (Cluster-1) can be shared with customer workload VMs or be a dedicated cluster for management and control, including customer enterprise services, such as Active Directory, DNS, and DHCP. Additional resource clusters can be added to support customer workload demand. This also includes the option of using separate clusters for each customer SLA. Figure 7 – Azure VMware Solution Shared Services Model Figure 8 – Azure VMware Solution Separate Services Model Design Consideration 4 – SKU type: Three SKU types can be selected for provisioning an Azure VMware Solution private cloud. The smaller AV36 SKU can be used to minimize the impact radius of a failed node. The larger AV36P and AV52 SKUs can be used to run more workloads with less nodes which increases the impact radius of a failed node. The AV36 SKU is widely available in most Azure regions and the AV36P and AV52 SKUs are limited to certain Azure regions. Azure VMware Solution does not support mixing different SKU types within a private cloud (AV64 SKU is the exception). You can check Azure VMware Solution SKU availability by Azure Region here. The AV64 SKU is currently only available for mixed SKU deployments in certain regions. Figure 9 – AV64 Mixed SKU Topology Design Consideration 5 – Placement Policies: Placement policies are used to increase the availability of a service by separating the VMs in an application availability layer across ESXi hosts. When an ESXi failure occurs, it would only impact one VM of a multi-part application layer, which would then restart on another ESXi host through vSphere HA. Placement policies support VM-VM and VM-Host affinity and anti-affinity rules. The vSphere Distributed Resource Scheduler (DRS) is responsible for migrating VMs to enforce the placement policies. To increase the availability of an application cluster, a placement policy with VM-VM anti-affinity rules for each of the web, application and database service layers can be used. Alternatively, VM-Host affinity rules can be used to segment the web, application, and database components to dedicated groups of hosts. The placement policies for stretched clusters can use VM-Host affinity rules to pin workloads to the preferred and secondary sites, if needed. Figure 10 – Azure VMware Solution Placement Policies – VM-VM Anti-Affinity Figure 11 – Azure VMware Solution Placement Policies – VM-Host Affinity Design Consideration 6 – Storage Policies: Table 2 lists the pre-defined VM Storage Policies available for use with VMware vSAN. The appropriate redundant array of independent disks (RAID) and failures to tolerate (FTT) settings per policy need to be considered to match the customer workload SLAs. Each policy has a trade-off between availability, performance, capacity, and cost that needs to be considered. The storage policies for stretched clusters include a designation for the dual site (synchronous replication), preferred site and secondary site policies that need to be considered. To comply with the Azure VMware Solution SLA, you are responsible for using an FTT=2 storage policy when the cluster has 6 or more nodes in a standard cluster. You must also retain a minimum slack space of 25% for backend vSAN operations. Deployment Type Policy Name RAID Failures to Tolerate (FTT) Site Standard RAID-1 FTT-1 1 1 N/A Standard RAID-1 FTT-2 1 2 N/A Standard RAID-1 FTT-3 1 3 N/A Standard RAID-5 FTT-1 5 1 N/A Standard RAID-6 FTT-2 6 2 N/A Standard VMware Horizon 1 1 N/A Stretched RAID-1 FTT-1 Dual Site 1 1 Site mirroring Stretched RAID-1 FTT-1 Preferred 1 1 Preferred Stretched RAID-1 FTT-1 Secondary 1 1 Secondary Stretched RAID-1 FTT-2 Dual Site 1 2 Site mirroring Stretched RAID-1 FTT-2 Preferred 1 2 Preferred Stretched RAID-1 FTT-2 Secondary 1 2 Secondary Stretched RAID-1 FTT-3 Dual Site 1 3 Site mirroring Stretched RAID-1 FTT-3 Preferred 1 3 Preferred Stretched RAID-1 FTT-3 Secondary 1 3 Secondary Stretched RAID-5 FTT-1 Dual Site 5 1 Site mirroring Stretched RAID-5 FTT-1 Preferred 5 1 Preferred Stretched RAID-5 FTT-1 Secondary 5 1 Secondary Stretched RAID-6 FTT-2 Dual Site 6 2 Site mirroring Stretched RAID-6 FTT-2 Preferred 6 2 Preferred Stretched RAID-6 FTT-2 Secondary 6 2 Secondary Stretched VMware Horizon 1 1 Site mirroring Table 2 – VMware vSAN Storage Policies Design Consideration 7 – Network Connectivity: Azure VMware Solution private clouds can be connected using IPSec VPN and Azure ExpressRoute circuits, including a variety of Azure Virtual Networking topologies such as Hub-Spoke and Azure Virtual WAN with Azure Firewall and third-party Network Virtualization Appliances. Multiple Azure ExpressRoute circuits can be used to provide redundant connectivity. VMware HCX also supports redundant Network Extension appliances to provide high availability for Layer-2 network extensions. For more information, refer to the Azure VMware Solution networking and interconnectivity concepts. The Azure VMware Solution Cloud Adoption Framework also has example network scenarios that can be considered. And, if you are interested in Azure ExpressRoute design: Understanding ExpressRoute private peering to address ExpressRoute resiliency ExpressRoute MSEE hairpin design considerations In the following section, I will describe the next steps that would need to be made to progress this high-level design estimate towards a validated detailed design. Next Steps The Azure VMware Solution sizing estimate should be assessed using Azure Migrate. With large enterprise solutions for strategic and major customers, an Azure VMware Solution Solutions Architect from Azure, VMware, or a VMware Partner should be engaged to ensure the solution is correctly sized to deliver business value with the minimum of risk. This should also include an application dependency assessment to understand the mapping between application groups and identify areas of data gravity, application network traffic flows, and network latency dependencies. Summary In this post, we took a closer look at the typical availability requirements of a customer workload, the architectural building blocks, and the availability design considerations for the Azure VMware Solution. We also discussed the next steps to continue an Azure VMware Solution design. If you are interested in the Azure VMware Solution, please use these resources to learn more about the service: Homepage: Azure VMware Solution Documentation: Azure VMware Solution SLA: SLA for Azure VMware Solution Azure Regions: Azure Products by Region Service Limits: Azure VMware Solution subscription limits and quotas Stretched Clusters: Deploy vSAN stretched clusters SKU types: Introduction Placement policies: Create placement policy Storage policies: Configure storage policy VMware HCX: Configuration & Best Practices GitHub repository: Azure/azure-vmware-solution Well-Architected Framework: Azure VMware Solution workloads Cloud Adoption Framework: Introduction to the Azure VMware Solution adoption scenario Network connectivity scenarios: Enterprise-scale network topology and connectivity for Azure VMware Solution Enterprise Scale Landing Zone: Enterprise-scale for Microsoft Azure VMware Solution Enterprise Scale GitHub repository: Azure/Enterprise-Scale-for-AVS Azure CLI: Azure Command-Line Interface (CLI) Overview PowerShell module: Az.VMware Module Azure Resource Manager: Microsoft.AVS/privateClouds REST API: Azure VMware Solution REST API Terraform provider: azurerm_vmware_private_cloud Terraform Registry Author Bio René van den Bedem is a Principal Technical Program Manager in the Azure VMware Solution product group at Microsoft. His background is in enterprise architecture with extensive experience across all facets of the enterprise, public cloud, and service provider spaces, including digital transformation and the business, enterprise, and technology architecture stacks. René works backwards from the problem to be solved and designs solutions that deliver business value with the minimum of risk. In addition to being the first quadruple VMware Certified Design Expert (VCDX), he is also a Dell Technologies Certified Master Enterprise Architect, a Nutanix Platform Expert (NPX), and a VMware vExpert. Link to PPTX Diagrams: azure-vmware-solution/azure-vmware-master-diagramsGetting started with the NetApp Connector for Microsoft M365 Copilot and Azure NetApp Files
Imagine a world where your on-premises and enterprise cloud files seamlessly integrate with Microsoft Copilot unleashing AI on your Azure NetApp Files enterprise data, and making your workday smoother and more efficient. Welcome to the future with the NetApp Connector for Microsoft Copilot!Register now for the Migrate to Innovate Summit
Join the summit on March 11, presented in partnership with Intel. Stay agile, innovate for the future, and maintain a competitive edge by accelerating your cloud migration and modernization journey. Microsoft thought leaders will discuss the latest news and trends, showcase real-world case studies, and share how Azure can help you fully embrace AI. Join us to: Maximize business value and build the foundation for successful innovation by leveraging the latest Azure and Intel capabilities for your workloads. Dive into case studies and real-world examples showcasing how organizations have successfully transformed their business and how you can be next by migrating and modernizing on Azure. Make sure your cloud migration and modernization journey is using the best practices and strategies featured in product demonstrations. Register now > Migrate to Innovate Summit Tuesday, March 11, 2025 9:00 AM–11:30 AM Pacific Time (UTC-7)Demystifying Azure OpenAI Networking for Secure Chatbot Deployment
Embark on a technical exploration of Azure's networking features for building secure chatbots. In this article, we'll dive deep into the practical aspects of Azure's networking capabilities and their crucial role in ensuring the security of your OpenAI deployments. With real-world use cases and step-by-step instructions, you'll gain practical insights into optimizing Azure and OpenAI for your projects.VMware HCX Troubleshooting with Azure VMware Solution
Overview VMware HCX is one of the Azure VMware Solution components that generates a large number of service requests from our customers. The Azure VMware Solution product group has worked to cover the most common troubleshooting considerations that you should know about when using VMware HCX with the Azure VMware Solution. Azure VMware Solution is a VMware validated first party Azure service from Microsoft that provides private clouds containing VMware vSphere clusters built from dedicated bare-metal Azure infrastructure. It enables customers to leverage their existing investments in VMware skills and tools, allowing them to focus on developing and running their VMware-based workloads on Azure. VMware HCX is the mobility and migration software used by the Azure VMware Solution to connect remote VMware vSphere environments to the Azure VMware Solution. These remote VMware vSphere environments can be on-premises, co-location or cloud-based instances. Figure 1 – Azure VMware Solution with VMware HCX Service Mesh In the next section, I will introduce the architectural components of the Azure VMware Solution. Architectural Components The diagram below describes the architectural components of the Azure VMware Solution. Figure 2 – Azure VMware Solution Architectural Components Each Azure VMware Solution architectural component has the following function: Azure Subscription: Used to provide controlled access, budget and quota management for the Azure VMware Solution. Azure Region: Physical locations around the world where we group data centers into Availability Zones (AZs) and then group AZs into regions. Azure Resource Group: Container used to place Azure services and resources into logical groups. Azure VMware Solution Private Cloud: Uses VMware software, including vCenter Server, NSX software-defined networking, vSAN software-defined storage, and Azure bare-metal ESXi hosts to provide compute, networking, and storage resources. Azure NetApp Files, Azure Elastic SAN, and Pure Cloud Block Store are also supported. Azure VMware Solution Resource Cluster: Uses VMware software, including vSAN software-defined storage, and Azure bare-metal ESXi hosts to provide compute, networking, and storage resources for customer workloads by scaling out the Azure VMware Solution private cloud. Azure NetApp Files, Azure Elastic SAN, and Pure Cloud Block Store are also supported. VMware HCX: Provides mobility, migration, and network extension services. VMware Site Recovery: Provides Disaster Recovery automation, and storage replication services with VMware vSphere Replication. Third party Disaster Recovery solutions Zerto DR and JetStream DR are also supported. Dedicated Microsoft Enterprise Edge (D-MSEE): Router that provides connectivity between Azure cloud and the Azure VMware Solution private cloud instance. Azure Virtual Network (VNet): Private network used to connect Azure services and resources together. Azure Route Server: Enables network appliances to exchange dynamic route information with Azure networks. Azure Virtual Network Gateway: Cross premises gateway for connecting Azure services and resources to other private networks using IPSec VPN, ExpressRoute, and VNet to VNet. Azure ExpressRoute: Provides high-speed private connections between Azure data centers and on-premises or colocation infrastructure. Azure Virtual WAN (vWAN): Aggregates networking, security, and routing functions together into a single unified Wide Area Network (WAN). In the next section, I will describe the troubleshooting steps you should follow for VMware HCX when used with the Azure VMware Solution. Troubleshooting Considerations Before opening a ticket with Microsoft support, please use the following steps as a checklist to ensure you are not impacted by the most common VMware HCX issues. Troubleshooting Step 1: Download the VMware HCX Connector. Once VMware HCX is deployed on the Azure VMware Solution side, the download for the VMware HCX Connector OVA is in the VMware HCX UI plugin. Under the Administration there is a Request Download Link. The OVA can be copied locally or a download link for the OVA can be selected. Figure 3 – VMware HCX Connector OVA Download Troubleshooting Step 2: Upgrade to HCX Enterprise. Azure VMware Solution comes with an Enterprise license key for VMware HCX. If you have a pre-existing VMware HCX Connector on-prem that is licensed for VMware HCX Advanced, please be sure to upgrade the connector to the Enterprise version. To upgrade VMware HCX navigate to the HCX Connector at https://<hcx_connector_fqdn>:9443, under the Configuration section select Licensing and Activation, edit the current license and enter the VMware HCX enterprise license key obtained from the Azure VMware Solution portal. Verify that the License is showing Enterprise. Figure 4 – VMware HCX Connector License Key Once you have updated the VMware HCX Connector, be sure to update/edit the VMware HCX Compute Profile and Service Mesh to include the updated VMware HCX services that you would like to take advantage of, such as Replicated Assisted vMotion and OS Assisted Migration. OS Assisted Migration is used for migrating and converting Microsoft Hyper-V and RedHat KVM workloads into Azure VMware Solution. Figure 5 – VMware HCX Connector Compute Profile Service Activation Troubleshooting Step 3: Only use the key from the Azure VMware Solution private cloud you are connecting to. When deploying the VMware HCX Connector on-premises, the activation key should come from the Azure VMware Solution you are migrating to. In the Azure portal, an activation Key can be obtained in the Add-Ons section. Simply request an activation key, provide it with a friendly name and map that activation key to the on-premises VMware HCX connector. Figure 6 – VMware HCX Connector License Key Troubleshooting Step 4: Do not use an IPSec VPN. If possible, avoid using an IPSec VPN connection to Azure VMware Solution when migrations with VMware HCX will happen. Migrating with VMware HCX over VPN has been known to cause issues and multiple failures around migrations. Although utilizing VMware HCX via VPN is supported, it is not the recommended way to migrate virtual machines to Azure VMware Solution. One of the biggest caveats of migrating VMs with VMware HCX over VPN is that a separate uplink network profile is needed on-premises. The management network cannot be used as an uplink profile, as the MTU of the uplink profile needs to be adjusted to 1300 to accommodate the IPSec overhead. Note that VMware HCX uses IPSec VPN natively as part of the VMware HCX Service Mesh. Troubleshooting Step 5: Check MTU size within your Network Profile. Be sure to verify the MTU setting on the Network Profiles setup. Within VMware HCX, navigate to the Interconnect section, select Network Profiles and be sure to verify the correct MTU size is being used for each Profile. Be sure to verify this on both ends of the VMware HCX site pair. Figure 7 – VMware HCX MTU size in Network Profile Use this guide of recommended MTU sizes for the Network Profiles in the table below when connecting to Azure VMware Solution. Connectivity Method Management Uplink Replication vMotion Azure ExpressRoute 1500 1500 1500 or 9000 1500 or 9000 VMware HCX over IPSec VPN 1500 1300 1500 or 9000 1500 or 9000 Table 1 – VMware HCX Network Profile MTU Sizes Troubleshooting Step 6: Always keep your VMware HCX versions updated (Connectors, Cloud Manager and Service Meshes). Before you upgrade VMware HCX, check the VMware product interoperability matrix to ensure the integrated versions of on-premises VMware solution software are supported by the new version of VMware HCX you are going to upgrade to. Updates to VMware HCX are released regularly by VMware. It is the responsibility of the customer to upgrade and maintain VMware HCX on both sides of the Service Mesh (on-premises and Azure VMware Solution). When updating VMware HCX, the VMware HCX Cloud Managers should be updated first. It is recommended to create a back-up to the VMware HCX Connector before updating. Backups to the VMware HCX Connector can be done through the VMware HCX manager UI at https://<hcx_connector_fqdn>:9443 with the admin password created at the time of VMware HCX Connector deployment. Under the Administration section head to the Backups and restore section. Backups can be taken here and scheduled to be taken as well. Optionally, you can take a vSphere snapshot of the VMware HCX Connector on-premises as well. Figure 8 – VMware HCX Connector Backup & Restore Updates for the VMware HCX Cloud Managers can be found in the administration section, select your current version, and hit the ‘Check for Updates’ button. If a new version is available, you will be able to download and update to the newest version. Backups of the VMware HCX Cloud Manager are taken automatically each day. Figure 9 – VMware HCX Upgrades It should be noted that VMware HCX Service Meshes are updated independently of the VMware HCX Cloud Managers and Connectors. Upon completion of the VMware HCX Cloud Manager and Connector updates, Service Meshes should be updated next. VMware HCX Cloud Managers and Service Meshes should be upgraded in order and together as to not cause an issue with mixed mode versions of Managers and Service Meshes. Running mixed mode versions of VMware HCX Cloud Managers, Connectors, and Service Meshes in production is highly discouraged. You can lose certain features and it often creates issues within the environment. Figure 10 – VMware HCX Manager Service Mesh Update During the Service Mesh update process, if Network Extension appliances are deployed a temporary loss of connectivity will occur while the appliances update. For Network Extension in an HA pair, down time is approximately a few seconds. Network Extension appliances not in an HA pair will incur downtime of approximately one minute. Troubleshooting Step 7: On-Premises Network Connectivity and Firewalls. For VMware HCX to be activated and receive updates, your on-premises firewalls need to allow outbound traffic to port 443 for the following websites: https://connect.hcx.vmware.com https://hybridity-depot.vmware.com https://hcx.<guid>.<region>.avs.azure.com Your on-premises firewalls will also need to allow outbound traffic to UDP port 4500. Within VMware HCX UDP port 4500 serves a specific purpose, it allows IPSec VPN communication between VMware HCX components across environments and is essential for communication and data transfer between environments to work. When configuring VMware HCX, you need to ensure that this port is open between your on-premises VMware HCX Connector uplink network profile and the Azure VMware Solution HCX Cloud Manager uplink network profile. Another common issue we see within VMware HCX, is that your on-premises VMware HCX Connector is unable to reach the VMware HCX activation and entitlement website. A simple way to verify your on-premises environment has access to the activation and entitlement website is as follows. SSH into the on-premises VMware HCX Connector and run the below curl commands to verify connectivity: Curl -k -v https://connect.hcx.vmware.com Curl -k -v https://hyridity-depot.vmware.com A successful connection to the above website will look like the figure below. Figure 11 – VMware HCX Connector SSH CURL connectivity test Troubleshooting Step 8: Diagnostics page on the Service Mesh. Built into the VMware HCX Service Mesh there is an option to run a diagnostics check on the Service Mesh appliances. This is an effective way to verify the health of your Service Mesh and pinpoint any specific issues the appliances may have. In the VMware HCX Connect user interface, under the Interconnect section, select the Service Mesh you want to run the diagnostics on. Under the “More” link, select Run Diagnostics to perform a health check on the appliances. Figure 12 – VMware HCX Service Mesh Run Diagnostics Once the Diagnostics test is completed, if there are any issues, a red banner will appear under the Service Mesh name. You can drill down to the specific issues by clicking on the red alert (!) icon. Figure 13 – VMware HCX Service Mesh Alert Troubleshooting Step 9: If you are having issues with the source side interface reboot the VMware HCX Connector. VMware HCX Connectors may have issues over time. It is recommended to reboot the VMware HCX Connector if it has been up and running for an extended period without a reboot. On the Azure VMware Solution side, we do have the option for customers to reboot the VMware HCX Cloud Manager within Azure VMware Solution through a Run Command in the Azure portal. The option to Force or Hard Reboot the VMware HCX Cloud Manager is also an option that is offered. Please use this with caution as it does not check for any active migrations or replications that may be occurring. Figure 14 – Azure VMware Solution Run Command Restart-HCXManager Troubleshooting Step 10: Logging into the VMware HCX Cloud Manager directly You have the ability to log into the VMware HCX Cloud Manager directly. At times the VMware HCX plugin through your Azure VMware Solution vSphere Client will not be available or fail to open. You can obtain the IP address of the VMware HCX Cloud Manager in the Azure portal when you are in the Azure VMware Solution resource. In the Add-ons section under the “Migration using VMware HCX”, the IP address of the VMware HCX Cloud manager will be listed. It is part of the /22 network you provided when deploying Azure VMware Solution. Access the manager directly at https://<x.x.x.9>:443 or https://hcx.<guid>.<region>.avs.azure.com. The VMware HCX Cloud Manager will always end with a .9 octet. Figure 15 – VMware HCX Cloud Manager Login Troubleshooting Step 11: Network Extensions are for temporary migration phases, not for permanent use. At its core VMware HCX is a migration tool. When using Network Extensions in VMware HCX, it is important to understand that these Network Extensions should be a temporary solution used during the migration process to migrate VMs into Azure VMware Solution with no downtime during the migration. It is best practice to remove the network extensions as soon as the migration waves are completed. Leaving network extensions in place for extended periods of time can cause issues and outages in your environment. Use Network Extensions with caution. Figure 16 – VMware HCX Network Extension Troubleshooting Step 12: If you have Mobility Optimized Networking (MON) enabled, ensure you have the router location set to the correct side. When configuring MON, verify where the default gateway resides. The default gateway will always be located on the source side of the network extension. Primarily, it will reside in the on-premises data center when connecting to Azure VMware Solution. Figure 17 – VMware HCX Mobility Optimized Network (MON) Troubleshooting Step 13: OS Assisted Migration -Sentinel Gateway Appliances. When using VMware HCX OS Assisted Migration, it is important to maintain and manage the VMware HCX Sentinel Gateway Appliance (SGW) at the source site (On-premises). The Sentinel Gateway Appliance is responsible for establishing a forwarding connection with the VMware HCX Sentinel Data Receiver (SDR) on the destination site. Managing and maintaining the Sentinel Gateway appliance’s resources, CPU and memory configuration, is the responsibility of the customer. Next Steps If this has not resolved the VMware HCX issue in your Azure VMware Solution private cloud, please open a Service Request with Microsoft to continue the resolution process. Summary In this post, we described helpful troubleshooting tips when facing some of the most common VMware HCX service issues our customers have with the Azure VMware Solution. If you are interested in the Azure VMware Solution, please use these resources to learn more about the service: Homepage: Azure VMware Solution Documentation: Azure VMware Solution SLA: SLA for Azure VMware Solution Azure Regions: Azure Products by Region VMware Ports and Protocols for HCX VMware HCX - VMware Ports and Protocols VMware Interoperability Matrix Product Interoperability Matrix (vmware.com) VMware HCX: Configuration & Best Practices Design: Availability Design Considerations Design: Recoverability Design Considerations Design: Performance Design Considerations Design: Security Design Considerations GitHub repository: Azure/azure-vmware-solution Well-Architected Framework: Azure VMware Solution workloads Cloud Adoption Framework: Introduction to the Azure VMware Solution adoption scenario Network connectivity scenarios: Enterprise-scale network topology and connectivity for Azure VMware Solution Enterprise Scale Landing Zone: Enterprise-scale for Microsoft Azure VMware Solution Enterprise Scale GitHub repository: Azure/Enterprise-Scale-for-AVS Azure CLI: Azure Command-Line Interface (CLI) Overview PowerShell module: Az.VMware Module Azure Resource Manager: Microsoft.AVS/privateClouds REST API: Azure VMware Solution REST API Terraform provider: azurerm_vmware_private_cloud Terraform Registry Author Bios Ricky Perez is a Senior Cloud Solution Architect in the international Customer Success Unit (iCSU) at Microsoft. His background is in solution architecture with experience in public cloud and core infrastructure services. Jason Trammell is a Senior Software Engineer in the Azure VMware Solution engineering group at Microsoft. Kenyon Hensler is a Principal Technical Program Manager in the Azure VMware Solution product group at Microsoft. His background is in system engineering with experience across all facets of enterprise networking and compute stacks. René van den Bedem is a Principal Technical Program Manager in the Azure VMware Solution product group at Microsoft. His background is in enterprise architecture with extensive experience across all facets of the enterprise, public cloud & service provider spaces, including digital transformation and the business, enterprise, and technology architecture stacks. René works backwards from the problem to be solved and designs solutions that deliver business value with the minimum of risk. In addition to being the first quadruple VMware Certified Design Expert (VCDX), he is also a Dell Technologies Certified Master Enterprise Architect, a Nutanix Platform Expert (NPX), and a VMware vExpert.AI for Operations
Solutions idea This solution series shows some examples of how Azure OpenAI and its LLM models can be used on Operations and FinOps issues. With a view to the use of models linked to the Enterprise Scale Landing Zone, the solutions shown, which are available on a dedicated GitHub, are designed to be deployed within a dedicated subscription, in the examples called ‘OpenAI-CoreIntegration’. The examples we are going to list are: SQL BPA AI Enhanced Azure Update Manager AI Enhanced Azure Cost Management AI Enhanced Azure AI Anomalies Detection Azure OpenAI Smart Doc Creator Enterprise Scale AI for Operations Landing Zone Design Architecture SQL BPA AI Enhanced Architecture This LogApp is an example of integrating ARC SQL practices assessment results with OpenAI, creating an HTML report and CSV file send via Email with OpenAI comment of Severity High and/or Medium results based on the actual Microsoft Documentation. Dataflow Initial Trigger Type: Recurrence Configuration: Frequency: Weekly Day: Monday Time: 9:00 AM Time Zone: W. Europe Standard Time Description: The Logic App is triggered weekly to gather data for SQL Best Practice Assessments. Step 1: Data Query Action: Run_query_and_list_results Description: Executes a Log Analytics query to retrieve SQL assessment results from monitored resources. Output: A dataset containing issues classified by severity (High/Medium). Step 2: Variable Initialization Actions: Initialize_variable_CSV: Initializes an empty array to store CSV results. Open_AI_API_Key: Sets up the API key for Azure OpenAI service. HelpLinkContent: Prepares a variable to store useful links. Description: Configures necessary variables for subsequent steps. Step 3: Process Results Action: For_eachSQLResult Description: Processes the query results with the following sub-steps: Condition: Checks if the severity is High or Medium. OpenAI Processing: Sends structured prompts to the GPT-4 model for recommendations on identified issues. Parses the JSON response to extract specific insights. CSV Composition: Creates an array containing detailed results. Step 4: Report Generation Actions: Create_CSV_table: Converts processed data into a CSV format. Create_HTML_table: Generates an HTML table from the data. ComposeMailMessage: Prepares an HTML email message containing the results and a link to the report. Description: Formats the data for sharing. Step 5: Saving and Sharing Actions: Create_file: Saves the HTML report to OneDrive. Send_an_email_(V2): Sends an email with the reports attached (HTML and CSV). Post_message_in_a_chat_or_channel: Shares the results in a Teams channel. Description: Distributes the reports to defined recipients. Components Azure OpenAI service is a platform provided by Microsoft that offers access to powerful language models developed by OpenAI, including GPT-4, GPT-4o, GPT-4o mini, and others. The service is used in this scenario for all the natural language understanding and generating communication to the customers. Azure Logic Apps is a cloud platform where you can create and run automated workflows with little to no code. Azure Logic Apps Managed Identities allow to authenticate to any resource that supports Microsoft Entra authentication, including your own applications. Azure Bing Web Search enables safe, ad-free, location-aware search results, surfacing relevant information from billions of web documents. Help your users find what they're looking for from the world-wide-web by harnessing Bing's ability to comb billions of webpages, images, videos, and news with a single API call. Azure ARC SQL Server enabled by Azure Arc 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. SQL Best Practices Assessment feature provides a mechanism to evaluate the configuration of your SQL Server instance. Azure Monitor is a comprehensive monitoring solution for collecting, analyzing, and responding to monitoring data from your cloud and on-premises environments. Azure Kusto Queryis a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more Potential use cases SQL BPA AI Enhanced exploits the capabilities of the SQL Best Practice Assessment service based on Azure ARC SQL Server. The collected data can be used for the generation of customised tables. The solution is designed for customers who want to enrich their Assessment information with Generative Artificial Intelligence. Azure Update Manager AI Enhanced Architecture This LogApp solution example retrieves data from the Azure Update Manager service and returns an output processed by generative artificial intelligence. Dataflow Initial Trigger Type: Recurrence Trigger Frequency: Monthly Time Zone: W. Europe Standard Time Triggers the Logic App at the beginning of every month. Step 1: Initialize API Key Action: Initialize Variable Variable Name: Api-Key Step 2: Fetch Update Status Action: HTTP Request URI: https://management.azure.com/providers/Microsoft.ResourceGraph/resources Query: Retrieves resources related to patch assessments using patchassessmentresources. Step 3: Parse Update Status Action: Parse JSON Content: Response body from the HTTP request. Schema: Extracts details such as VM Name, Patch Name, Patch Properties, etc. Step 4: Process Updates For Each: Body('Parse_JSON')?['data'] Iterates through each item in the parsed update data. Condition: If Patch Name is not null and contains "KB": Action: Format Item Parses individual update items for VM Name, Patch Name, and additional properties. Action: Send to Azure OpenAI Description: Sends structured prompts to the GPT-4 model Headers: Content-Type: application/json api-key: @variables('Api-Key') Body: Prompts Azure OpenAI to generate a report for each virtual machine and patch, formatted in Italian. Action: Parse OpenAI Response Extracts and formats the response generated by Azure OpenAI. Action: Append to Summary and CSV Adds the OpenAI-generated response to the Updated Summary array. Appends patch details to the CSV array. Step 5: Finalize Report Action: Create Reports (I, II, III) Formats and cleans the Updated Summary variable to remove unwanted characters. Action: Compose HTML Email Content Constructs an HTML email with the following: Report summary generated using OpenAI. Disclaimer about possible formatting anomalies. Company logo embedded. Step 6: Generate CSV Table Action: Converts the CSV array into a CSV format for attachment. Step 7: Send E-Mail Action: Send Email Recipient: user@microsoft.com Subject: Security Update Assessment Body: HTML content with report summary. Attachment: Name: SmartUpdate_<timestamp>.csv Content: CSV table of update details. Components Azure OpenAI service is a platform provided by Microsoft that offers access to powerful language models developed by OpenAI, including GPT-4, GPT-4o, GPT-4o mini, and others. The service is used in this scenario for all the natural language understanding and generating communication to the customers. Azure Logic Apps is a cloud platform where you can create and run automated workflows with little to no code. Azure Logic Apps Managed Identities allow to authenticate to any resource that supports Microsoft Entra authentication, including your own applications. Azure Update Manager is a unified service to help manage and govern updates for all your machines. You can monitor Windows and Linux update compliance across your machines in Azure and on-premises/on other cloud platforms (connected by Azure Arc) from a single pane of management. You can also use Update Manager to make real-time updates or schedule them within a defined maintenance window. Azure Arc Server lets you manage Windows and Linux physical servers and virtual machines hosted outside of Azure, on your corporate network, or other cloud provider. Potential use cases Azure Update Manager AI Enhanced is an example of a solution designed for all those situations where the IT department needs to manage and automate the telling of information in a readable format on the status of updates to its infrastructure thanks to an output managed by generative artificial intelligence Azure Cost Management AI Enhanced Architecture This LogApp solution retrieves consumption data from the Azure environment and generates a general and detailed cost trend report on a scheduled basis. Dataflow Initial Trigger Type: Manual HTTP Trigger The Logic App is triggered manually using an HTTP request. Step 1: Set Current Date and Old Date Action: Set Actual Date Current date is initialized to @utcNow('yyyy-MM-dd'). Example Value: 2024-11-22. Action: Set Actual Date -30 Old date is set to 30 days before the current date. Example Value: 2024-10-23. Action: Set old date -30 Sets the variable currentdate to 30 days prior to the old date. Example Value: 2024-09-23. Action: Set old date -60 Sets the variable olddate to 60 days before the current date. Example Value: 2024-08-23. Step 2: Query Cost Data Action: Query last 30 days Queries Azure Cost Management for the last 30 days. Example Data Returned:json{ "properties": { "rows": [ ["Virtual Machines", 5000], ["Databases", 7000], ["Storage", 3000] ] } } Copia codice Action: Query -60 -30 days Queries Azure Cost Management for 30 to 60 days ago. Example Data Returned:json{ "properties": { "rows": [ ["Virtual Machines", 4800], ["Databases", 6800], ["Storage", 3050] ] } } Copia codice Step 3: Download Detailed Reports Action: Download_report_actual_month Generates and retrieves a detailed cost report for the current month. Action: Download_report_last_month Generates and retrieves a detailed cost report for the previous month. Step 4: Process and Store Reports Action: Actual_Month_Report Parses the JSON from the current month's report. Retrieves blob download links for the detailed report. Action: Last_Month_Report Parses the JSON from the last month's report. Retrieves blob download links for the detailed report. Action: Create_ActualMonthDownload and Create_LastMonthDownload Initializes variables to store download links. Action: Get_Actual_Month_Download_Link and Get_Last_Month_Download_Link Iterates through blob data and assigns the download link variables. Step 5: Generate Questions for OpenAI Action: Set_Question Prepares the first question for Azure OpenAI: "Describe the key differences between the previous and current month's costs, and create a bullet-point list detailing these differences in Euros." Action: Set_Second_Question Prepares a second question for Azure OpenAI: "Briefly describe in Italian the major cost differences between the two months, rounding the amounts to Euros." Step 6: Send Questions to Azure OpenAI Action: Passo result to OpenAI Sends the first question to OpenAI for generating detailed insights. Action: Get Description from OpenAI Sends the second question to OpenAI for a brief summary in Italian. Step 8: Process OpenAI Responses Action: Parse_JSON and Parse_JSON_Second_Question Parses the JSON response from OpenAI for both questions. Retrieves the content of the generated insights. Action: For_each_Description Iterates through OpenAI's responses and assigns the description to a variable DescriptionOutput. Step 9: Compose and send E-Mail Action: Compose_Email Composes an HTML email including: Key insights from OpenAI. Links to download the detailed reports. Example Email Content: Azure automated cost control system: - Increase of €200 in Virtual Machines. - Reduction of €50 in Storage. Download details: - Current month: [Download Report] - Previous month: [Download Report]. Action: Send_an_email_(V2) Sends the composed email. Components Azure OpenAI service is a platform provided by Microsoft that offers access to powerful language models developed by OpenAI, including GPT-4, GPT-4o, GPT-4o mini, and others. The service is used in this scenario for all the natural language understanding and generating communication to the customers. Azure Logic Apps is a cloud platform where you can create and run automated workflows with little to no code. Azure Logic Apps Managed Identities allow to authenticate to any resource that supports Microsoft Entra authentication, including your own applications. Potential use cases Azure Cost Management AI Enhanced is an example of a solution designed for those who need to programme the generation of reports related to FinOps topics with the possibility to customise the output and send the results via e-mail or perform a customised upload. Azure AI Anomalies Detection Architecture This LogApp solution leverages Azure Monitor's native machine learning capabilities to retrieve anomalous data within application logs. These will then be analysed by OpenAI. Dataflow Initial Trigger Type: Recurrence Trigger Frequency: Monthly Time Zone: W. Europe Standard Time Triggers the Logic App at the beginning of every month. Step 1: Initialize API Key Action: Initialize Variable Variable Name: Api-Key Step 2: Fetch Update Status Action: HTTP Request URI: https://management.azure.com/providers/Microsoft.ResourceGraph/resources Query: Retrieves resources related to patch assessments using patchassessmentresources. Step 3: Parse Update Status Action: Parse JSON Content: Response body from the HTTP request. Schema: Extracts details such as VM Name, Patch Name, Patch Properties, etc. Step 4: Process Updates For Each: @body('Parse_JSON')?['data'] Iterates through each item in the parsed update data. Condition: If Patch Name is not null and contains "KB": Action: Format Item Parses individual update items for VM Name, Patch Name, and additional properties. Action: Send to Azure OpenAI Description: Sends structured prompts to the GPT-4 model. Headers: Content-Type: application/json api-key: @variables('Api-Key') Body: Prompts Azure OpenAI to generate a report for each virtual machine and patch, formatted in Italian. Action: Parse OpenAI Response Extracts and formats the response generated by Azure OpenAI. Action: Append to Summary and CSV Adds the OpenAI-generated response to the Updated Summary array. Appends patch details to the CSV array. Step 5: Finalize Report Action: Create Reports (I, II, III) Formats and cleans the Updated Summary variable to remove unwanted characters. Action: Compose HTML Email Content Constructs an HTML email with the following: Report summary generated using OpenAI. Disclaimer about possible formatting anomalies. Company logo embedded. Step 6: Generate CSV Table Action: Converts the CSV array into a CSV format for attachment. Step 7: Send Notifications Action: Send Email Recipient: user@microsoft.com Subject: Security Update Assessment Body: HTML content with report summary. Attachment: Name: SmartUpdate_<timestamp>.csv Content: CSV table of update details. Components Azure OpenAI service is a platform provided by Microsoft that offers access to powerful language models developed by OpenAI, including GPT-4, GPT-4o, GPT-4o mini, and others. The service is used in this scenario for all the natural language understanding and generating communication to the customers. Azure Logic Apps is a cloud platform where you can create and run automated workflows with little to no code. Azure Logic Apps Managed Identities allow to authenticate to any resource that supports Microsoft Entra authentication, including your own applications. Azure Monitor is a comprehensive monitoring solution for collecting, analyzing, and responding to monitoring data from your cloud and on-premises environments. Azure Kusto Queryis a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more Potential use cases Azure AI Anomalies Detection is an example of a solution that exploits the Machine Learning capabilities of Azure Monitor to diagnose anomalies within application logs that will then be analysed by Azure OpenAI. The solution can be customized based on Customer requirements. Azure OpenAI Smart Doc Creator Architecture This Function App solution leverages the Azure OpenAI LLM Generative AI to create a docx file based on the Azure architectural information of a specific workload (Azure Metadata based). The function exploits the 'OpenAI multi-agent' concept. Dataflow Step 1: Logging and Configuration Setup Initialize Logging: Advanced logging is set up to provide debug-level insights. Format includes timestamps, log levels, and messages. Retrieve OpenAI Endpoint: QUESTION_ENDPOINT is retrieved from environment variables. Logging confirms the endpoint retrieval. Step 2: Authentication Managed Identity Authentication: The ManagedIdentityCredential class is used for secure Azure authentication. The SubscriptionClient is initialized to access Azure subscriptions. Retrieves a token for Azure Cognitive Services (https://cognitiveservices.azure.com/.default). Step 3: Flattening Dictionaries Function: flatten_dict Transforms nested dictionaries into a flat structure. Handles nested lists and dictionaries recursively. Used for preparing metadata for storage in CSV. Step 4: Resource Tag Filtering Functions: get_resources_by_tag_in_subscription: Filters resources in a subscription based on a tag key and value. get_resource_groups_by_tag_in_subscription: Identifies resource groups with matching tags. Purpose: Retrieve Azure resources and resource groups tagged with specific key-value pairs. Step 5: Resource Metadata Retrieval Functions: get_all_resources: Aggregates resources and resource groups across all accessible subscriptions. get_resources_in_resource_group_in_subscription: Retrieves resources from specific resource groups. get_latest_api_version: Determines the most recent API version for a given resource type. get_resource_metadata: Retrieves detailed metadata for individual resources using the latest API version. Purpose: Collect comprehensive resource details for further processing. Step 6: Documentation Generation Function: generate_infra_config Processes metadata through OpenAI to generate documentation. OpenAI generates detailed and human-readable descriptions for Azure resources. Multi-stage review process: Initial draft by OpenAI. Feedback loop with ArchitecturalReviewer and DocCreator for refinement. Final content is saved to architecture.txt. Step 7: Workload Overview Function: generate_workload_overview Reads from the generated CSV file to create a summary of the workload. Sends resource list to OpenAI for generating a high-level overview. Step 8: Conversion to DOCX Function: txt_to_docx Creates a Word document (Output.docx) with: Section 1: "Workload Overview" (generated summary). Section 2: "Workload Details" (detailed resource metadata). Adds structured headings and page breaks. Step 9: Temporary Files Cleanup Function: cleanup_files Deletes temporary files: architecture.txt resources_with_expanded_metadata.csv Output.docx Ensures no residual files remain after execution. Step 10: CSV Metadata Export Function: save_resources_with_expanded_metadata_to_csv Aggregates and flattens resource metadata. Saves details to resources_with_expanded_metadata.csv. Includes unique keys derived from all metadata fields. Step 11: Architectural Review Process Functions: ArchitecturalReviewer: Reviews and suggests improvements to documentation. DocCreator: Incorporates reviewer suggestions into the documentation. Purpose: Iterative refinement for high-quality documentation. Step 12: HTTP Trigger Function Function: smartdocs Accepts HTTP requests with tag_key and tag_value parameters. Orchestrates the entire workflow: Resource discovery. Metadata retrieval. Documentation generation. File cleanup. Responds with success or error messages. Components Azure OpenAI service is a platform provided by Microsoft that offers access to powerful language models developed by OpenAI, including GPT-4, GPT-4o, GPT-4o mini, and others. The service is used in this scenario for all the natural language understanding and generating communication to the customers. Azure Functions is a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs. Instead of worrying about deploying and maintaining servers, the cloud infrastructure provides all the up-to-date resources needed to keep your applications running. Azure Function App Managed Identities allow to authenticate to any resource that supports Microsoft Entra authentication, including your own applications. Azure libraries for Python (SDK) are the open-source Azure libraries for Python designed to simplify the provisioning, management and utilisation of Azure resources from Python application code. Potential use cases The Azure OpenAI Smart Doc Creator Function App, like all proposed solutions, can be modified to suit your needs. It can be of practical help when there is a need to obtain all the configurations, in terms of metadata, of the resources and services that make up a workload. Contributors Principal author: Tommaso Sacco | Cloud Solutions Architect Simone Verza | Cloud Solution Architect Extended Contribution: Saverio Lorenzini | Senior Cloud Solution Architect Andrea De Gregorio | Technical Specialist Gianluca De Rossi | Technical Specialist Special Thanks: Carmelo Ferrara | Director CSA Marco Crippa | Sr CSA Manager
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