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    • Microsoft Azure - Wikipedia
      • Azure IoT Edge is a fully managed service built on IoT Hub that allows for cloud intelligence deployed locally on IoT edge devices. Azure IoT Central is a fully managed SaaS app that makes it easy to connect, monitor, and manage IoT assets at scale.
      en.wikipedia.org/wiki/Microsoft_Azure#:~:text=Azure IoT Edge is a fully managed service,connect, monitor, and manage IoT assets at scale.
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  2. Introduction to Azure IoT Hub | Microsoft Docs

    docs.microsoft.com/en-us/azure/iot-hub/about-iot-hub

    IoT Hub is a managed service, acting as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can use IoT Hub on Azure Stack Hub to build IoT solutions with reliable and secure communications between IoT devices and your on-premises solutions. IoT Hub on Azure Stack Hub is free during public preview.

    • Secure Your Communications
      IoT Hub gives you a secure communication channel for your devices to send data. 1. Per-device authentication enables each device to connect securel...
    • Integrate With Other Services
      You can integrate IoT Hub with other Azure services to build complete, end-to-end solutions. For example, use: 1. Azure Event Grid to enable your b...
    • Configure and Control Your Devices
      You can manage your devices connected to IoT Hub with an array of built-in functionality. 1. Store, synchronize, and query device metadata and stat...
    • Make Your Solution Highly Available
      There's a 99.9% Service Level Agreement for IoT Hub. The full Azure SLA explains the guaranteed availability of Azure as a whole.
  3. Azure Stack Hub | Microsoft Azure

    azure.microsoft.com/en-us/products/azure-stack/hub

    Part of the Azure Stack portfolio, Azure Stack Hub broadens Azure to let you run apps in an on-premises environment and deliver Azure services in your datacenter. As organizations race to digitally transform, many are finding they can move faster by using public cloud services to build on modern architectures and refresh legacy apps.

  4. Azure Virtual WAN Overview | Microsoft Docs

    docs.microsoft.com/en-us/azure/virtual-wan/...
    • Virtual Wan Resources
    • Connectivity
    • FAQ

    To configure an end-to-end Virtual WAN, you create the following resources: 1. virtualWAN: The virtualWAN resource represents a virtual overlay of your Azure network and is a collection of multiple resources. It contains links to all your virtual hubs that you would like to have within the virtual WAN. Virtual WAN resources are isolated from each other and cannot contain a common hub. Virtual Hubs across Virtual WAN do not communicate with each other. The ‘Allow branch to branch traffic’ prop...

    Virtual WAN allows three types of connectivity: site-to-site, point-to-site (Preview), and ExpressRoute (Preview).

    Virtual WAN provides large-scale site-to-site connectivity and is built for throughput, scalability, and ease of use. ExpressRoute and point-to-site connectivity functionality is currently under Preview. CPE branch devices autoprovision and connect into Azure Virtual WAN. These devices are available from a growing ecosystem of SD-WAN and VPN partners. See the Preferred Partner List.

  5. Azure Stack Hub overview - Azure Stack Hub | Microsoft Docs

    docs.microsoft.com/en-us/azure-stack/operator/...
    • Why Use Azure Stack?
    • Azure Stack Architecture
    • Deployment Options
    • How Is Azure Stack Managed?
    • Resource Providers
    • Providing High Availability
    • Role Based Access Control
    • Reporting Usage Data
    • Next Steps

    Azure provides a rich platform for developers to build modern applications. However, some cloud-based applications face obstacles such as latency, intermittent connectivity, and regulations. Azure and Azure Stack unlock new hybrid cloud use cases for both customer-facing and internal line of business applications: 1. Edge and disconnected solutions. Address latency and connectivity requirements by processing data locally in Azure Stack and then aggregating it in Azure for further analytics, w...

    Azure Stack integrated systems are comprised in racks of 4-16 servers built by trusted hardware partners and delivered straight to your datacenter. After delivery, a solution provider will work with you to deploy the integrated system and ensure the Azure Stack solution meets your business requirements. You will need to prepare your datacenter by ensuring all required power and cooling, border connectivity, and other required datacenter integration requirement are in place.Azure Stack is buil...

    Azure Stack is offered in two deployment options to meet your needs, Azure Stack integrated systems for production use and the Azure Stack Development Kit (ASDK) for evaluating Azure Stack: 1. Azure Stack integrated systems. Azure Stack integrated systems are offered through a partnership of Microsoft and hardware partners, creating a solution that offers cloud-paced innovation and computing management simplicity. Because Azure Stack is offered as an integrated hardware and software system, y...

    You can manage Azure Stack with the administration portal, user portal, or PowerShell. The Azure Stack portals are each backed by separate instances of Azure Resource Manager. An Azure Stack Operator uses the administration portal to manage Azure Stack, and to do things like create tenant offerings, and maintain the health and monitor status of the integrated system. The user portal (also referred to as the tenant portal) provides a self-service experience for consumption of cloud resources s...

    Resource providers are web services that form the foundation for all Azure Stack IaaS and PaaS services. Azure Resource Manager relies on different resource providers to provide access to services. Each resource provider helps you configure and control its respective resources. Service administrators can also add new custom resource providers.

    To achieve high availability of a multi-VM production system in Azure, VMs are placed in an availability set that spreads them across multiple fault domains and update domains. In the smaller scale of Azure Stack, a fault domain in an availability set is defined as a single node in the scale unit.While the infrastructure of Azure Stack is already resilient to failures, the underlying technology (failover clustering) still incurs some downtime for VMs on an impacted physical server if there is...

    You can use Role Based Access Control (RBAC) to grant system access to authorized users, groups, and services by assigning them roles at a subscription, resource group, or individual resource level. Each role defines the access level a user, group, or service has over Microsoft Azure Stack resources.Azure Stack RBAC has three basic roles that apply to all resource types: Owner, Contributor, and Reader. Owner has full access to all resources including the right to delegate access to others. Co...

    Azure Stack collects and aggregates usage data across all resource providers, and transmits it to Azure for processing by Azure commerce. The usage data collected on Azure Stack can be viewed via a REST API. There is an Azure-consistent Tenant API as well as Provider and Delegated Provider APIs to get usage data across all tenant subscriptions. This data can be used to integrate with an external tool or service for billing or chargeback. Once usage has been processed by Azure commerce, it can...

    Compare Azure Stack and global AzureAdministration basicsQuickstart: use the Azure Stack administration portal

  6. Microsoft's cloud-centric architecture transformation

    www.microsoft.com/en-us/itshowcase/microsofts...
    • Building A Foundation For Digital Transformation
    • Establishing A Vision For Cloud-Centric Architecture
    • Enabling The Cloud-Centric Architecture
    • Moving Forward

    Azure is now the default platform that our IT infrastructure is built upon. Several years ago, CSEO created a vision for moving from on-premises datacenters to Azure as the “first and best customer” of our cloud services. We examined our infrastructure to understand usage practices and how we could best support application teams via Azure subscriptions and connectivity options. We reviewed on-premises datacenter assets and developed schedules to migrate or retire the assets and to close multiple datacenters. Our leadership established plans at the strategic level to move applications, which trickled down to individual cloud migration and adoption plans for each part of the organization. Our cloud-centric approach thus created a functional and flexible platform for our services and processes. We’re using Azure to enable a self-service model for users of the platform—providing robust telemetry and reporting capabilities via Azure Monitor and Application Insights and using Azure Expres...

    We’ve moved more than 93 percent of our on-premises infrastructure to the cloud, and we’re assessing our strategic initiatives around our cloud efforts. We’ve fulfilled our goal of moving out of the datacenter. However, many services moved from virtual machines (VMs) running in a datacenter to infrastructure as a service (IaaS) VMs running in Azure with very little change to those services. We thus recognize the opportunity to further optimize our presence in the cloud by creating more-refined and targeted strategic initiatives both for the company itself and as examples for external customers. We need to modernize our application and service portfolio to take advantage of capabilities that were previously unattainable because of datacenter and support constraints. We need to examine how we manage our data and work toward a strategy that separates data from compute resources. We need to examine open-source big data platforms, event processing, other modern services that we can more...

    Deploying workloads to the cloud introduces the need to develop and maintain trust in the cloud to the same degree that we have in our existing datacenters. In this model, we can apply isolation policies to help achieve the required levels of security and trust. To use the cloud as our trusted platform for our new cloud-centric architecture, we need to invest in plans for multiple areas: 1. Administering the Azure fabric 2. Using Infrastructure as Code (IaC)and DevOps 3. Using identity management and governance 4. Using modern apps and data solutions 5. Using modern networks The following sections detail the specific investments that combine to fulfill these requirements.

    We’re continually assessing our approaches to cloud-centric architecture to help ensure continued growth and reliable and optimized services. We have over 40 years of IT history and technical debt that we can’t transform overnight. Our success will be determined by the fluidity of our users’ experience and the level to which we can create an abstraction of our IT infrastructure via cloud-based platforms. This abstraction will create flexibility, usability, scalability, and resiliency for the entire business, which our cloud-centric architecture will support. We’re exploring further transformation while staying dedicated to the effective operation of our entire service portfolio. We’re finding common scenarios where we can optimize services and applications for the cloud, and we’re automating and abstracting as many manual processes and tasks as possible. We’re using the metadata across all our systems to digitally document our cloud infrastructure, creating software-defined template...

  7. Migrate to Azure Stack Hub: Patterns and practices checklists

    azure.microsoft.com/en-us/resources/migrate-to...

    Feb 05, 2020 · By moving these workloads to the Azure Stack Hub IaaS environment, teams can benefit from smoother operations, self-service deployments, standardized hardware configurations, and Azure consistency. Using Azure Stack Hub to support application modernization can be a key step in the journey to the cloud.

  8. GCP to Azure Services Comparison - Azure Architecture Center ...

    docs.microsoft.com/en-us/azure/architecture/gcp...

    GCP service Azure service Description; AI Hub: Azure Machine Learning: A cloud service to train, deploy, automate, and manage machine learning models. TensorFlow: ML.NET: ML.NET is an open source and cross-platform machine learning framework for both machine learning & AI. TensorFlow: ONNX (Open Neural Network Exchange)

  9. What is Azure—Microsoft Cloud Services | Microsoft Azure

    azure.microsoft.com/en-us/overview/what-is-azure

    Azure is the only consistent hybrid cloud, delivers unparalleled developer productivity, provides comprehensive, multilayered security, including the largest compliance coverage of any cloud provider, and you’ll pay less for Azure as AWS is five times more expensive than Azure for Windows Server and SQL Server.

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