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articles/public-multi-access-edge-compute-mec/considerations-for-deployment.md

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## Next steps
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To learn about important concepts for Azure public MEC, advance to the following article:
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To deploy a virtual machine in Azure public MEC using an ARM template, advance to the following article:
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> [!div class="nextstepaction"]
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> [Key concepts for Azure public MEC](key-concepts.md)
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> [Quickstart: Deploy a virtual machine in Azure public MEC using an ARM template](quickstart-create-vm-arm-template.md)

articles/public-multi-access-edge-compute-mec/index.yml

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### YamlMime:Landing
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title: Azure public multi-access-edge compute documentation # < 60 chars
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summary: Learn how to use Azure public multi-access-edge compute (MEC) to develop and deploy latency-sensitive workloads at the 5G network edge integrated with Azure compute. # < 160 chars
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summary: Learn how to use Azure public multi-access-edge compute (MEC) to develop and deploy latency-sensitive workloads, integrated with Azure compute, at the 5G network edge. # < 160 chars
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metadata:
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title: Azure public multi-access-edge compute documentation # Required; page title displayed in search results. Include the brand. < 60 chars.
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description: Learn how to use Azure public multi-access-edge compute (MEC) to develop and deploy latency-sensitive workloads at the 5G network edge integrated with Azure compute. # Required; article description that is displayed in search results. < 160 chars.
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description: Learn how to use Azure public multi-access-edge compute (MEC) to develop and deploy latency-sensitive workloads, integrated with Azure compute, at the 5G network edge. # Required; article description that is displayed in search results. < 160 chars.
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ms.service: public-multi-access-edge-compute-mec # Required; service per approved list. service slug assigned to your service by ACOM.
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ms.topic: landing-page # Required
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author: reemas-new # Required; your GitHub user alias, with correct capitalization.
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url: overview.md
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- linkListType: concept
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links:
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- text: Key concepts for Azure public MEC
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url: key-concepts.md
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- text: Considerations for deployment in Azure public MEC
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url: considerations-for-deployment.md
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- text: Key concepts for Azure public MEC
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url: key-concepts.md
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# Card
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- title: Get started

articles/public-multi-access-edge-compute-mec/key-concepts.md

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## Next steps
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To deploy a virtual machine in Azure public MEC using an ARM template, advance to the following article:
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To learn about considerations for deployment in the Azure public MEC, advance to the following article:
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> [!div class="nextstepaction"]
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> [Quickstart: Deploy a virtual machine in Azure public MEC using an ARM template](quickstart-create-vm-arm-template.md)
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> [Considerations for deployment in the Azure public MEC](considerations-for-deployment.md)

articles/public-multi-access-edge-compute-mec/overview.md

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# What is Azure public MEC Preview?
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Azure public multi-access edge compute (MEC) Preview sites are small-footprint extensions of Azure. They're placed in or near mobile operators' data centers in metro areas, and are designed to run workloads that require ultra-low latency while being attached to the mobile network. Azure public MEC is offered in partnership with the operators. The placement of the infrastructure offers lower latency for applications that are accessed from mobile devices connected to the 5G Mobile network.
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Azure public multi-access edge compute (MEC) Preview sites are small-footprint extensions of Azure. They're placed in or near mobile operators' data centers in metro areas, and are designed to run workloads that require ultra-low latency while being attached to the mobile network. Azure public MEC is offered in partnership with the operators. The placement of the infrastructure offers lower latency for applications that are accessed from mobile devices connected to the 5G mobile network.
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Azure public MEC provides secure, reliable, high-bandwidth connectivity between applications that run close to the user while being served by the Microsoft global network. Azure public MEC offers a set of Azure services like Azure Virtual Machines, Azure Load Balancer, and Azure Kubernetes for Edge, with the ability to leverage and connect to Azure services available in the Azure region.
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Azure public MEC provides secure, reliable, high-bandwidth connectivity between applications that run close to the user while being served by the Microsoft global network. Azure public MEC offers a set of Azure services like Azure Virtual Machines, Azure Load Balancer, and Azure Kubernetes for Edge, with the ability to leverage and connect to other Azure services available in the Azure region.
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Some of the industries and use cases where Azure public MEC can provide benefits are:
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## Partnership with operators
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Azure public MEC solutions is available in partnership with mobile network operators. The current operator partnerships are as follows:
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Azure public MEC solutions are available in partnership with mobile network operators. The current operator partnerships are as follows:
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- AT&T: Atlanta, Dallas (more sites to follow)
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- Singtel: Singapore.
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## Next steps
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To learn about considerations for deployment in the Azure public MEC, advance to the following article:
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To learn about important concepts for Azure public MEC, advance to the following article:
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> [!div class="nextstepaction"]
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> [Considerations for deployment in the Azure public MEC](considerations-for-deployment.md)
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> [Key concepts for Azure public MEC](key-concepts.md)

articles/public-multi-access-edge-compute-mec/quickstart-create-vm-arm-template.md

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```
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> [!NOTE]
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> Each Azure public MEC site is associated with an Azure region. Based on the Azure public MEC location where the resource needs to be deployed, select the appropriate region value for the `--location` parameter. For more information, see [Regions and availability zones](/azure/availability-zones/az-overview).
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> Each Azure public MEC site is associated with an Azure region. Based on the Azure public MEC location where the resource needs to be deployed, select the appropriate region value for the `--location` parameter. For more information, see [Key concepts for Azure public MEC](key-concepts.md).
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1. Deploy the ARM template in the resource group with the [az deployment group create](/cli/azure/deployment/group#az-deployment-group-create) command.
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## Next steps
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To deploy resources in Azure public MEC using the Go SDK, advance to the following article:
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To deploy a virtual machine in Azure public MEC using Azure CLI, advance to the following article:
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> [!div class="nextstepaction"]
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> [Quickstart: Deploy a virtual machine in Azure public MEC using Azure CLI](quickstart-create-vm-cli.md)

articles/public-multi-access-edge-compute-mec/quickstart-create-vm-cli.md

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```
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> [!NOTE]
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> Each Azure public MEC site is associated with an Azure region. Based on the Azure public MEC location where the resource needs to be deployed, select the appropriate region value for the `--location` parameter. For more information, see [Regions and availability zones](/azure/availability-zones/az-overview).
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> Each Azure public MEC site is associated with an Azure region. Based on the Azure public MEC location where the resource needs to be deployed, select the appropriate region value for the `--location` parameter. For more information, see [Key concepts for Azure public MEC](key-concepts.md).
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## Create a VM
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## Next steps
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To deploy a virtual machine in Azure public MEC using an ARM template, advance to the following article:
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To deploy resources in Azure public MEC using the Go SDK, advance to the following article:
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> [!div class="nextstepaction"]
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> [Tutorial: Deploy resources in Azure public MEC using the Go SDK](tutorial-create-vm-using-go-sdk.md)

articles/public-multi-access-edge-compute-mec/toc.yml

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items:
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- name: What is Azure public MEC?
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href: overview.md
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- name: Considerations for deployment
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href: considerations-for-deployment.md
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- name: Concepts
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expanded: true
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items:
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- name: Key concepts
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href: key-concepts.md
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href: key-concepts.md
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- name: Considerations for deployment
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href: considerations-for-deployment.md
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- name: Quickstarts
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expanded: true
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- name: Create VM using Go SDK
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- name: Create VM Python SDK
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- name: Create VM using Python SDK
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href: tutorial-create-vm-using-python-sdk.md
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- name: Resources
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items:
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- name: Azure public MEC product page
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href: https://go.microsoft.com/fwlink/?linkid=2186926
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- name: Azure Marketplace
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href: https://azuremarketplace.microsoft.com/marketplace/
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- name: Azure Roadmap

articles/public-multi-access-edge-compute-mec/tutorial-create-vm-using-go-sdk.md

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## Next steps
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To deploy a virtual machine in Azure public MEC using the Python SDK, advance to the following article:
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> [!div class="nextstepaction"]
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> [Tutorial: Deploy a virtual machine in Azure public MEC using Python SDK](tutorial-create-vm-using-python-sdk.md)
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> [Tutorial: Deploy a virtual machine in Azure public MEC using the Python SDK](tutorial-create-vm-using-python-sdk.md)

articles/public-multi-access-edge-compute-mec/tutorial-create-vm-using-python-sdk.md

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---
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title: 'Tutorial: Deploy a virtual machine in Azure public MEC Preview using Python SDK'
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title: 'Tutorial: Deploy a virtual machine in Azure public MEC Preview using the Python SDK'
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description: This tutorial demonstrates how to use Azure SDK management libraries in a Python script to create a resource group in Azure public multi-access edge compute (MEC) that contains a Linux virtual machine.
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# Tutorial: Deploy a virtual machine in Azure public MEC Preview using Python SDK
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# Tutorial: Deploy a virtual machine in Azure public MEC Preview using the Python SDK
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| PASSWORD | Password to use to sign in to the VM |
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> Each Azure public MEC site is associated with an Azure region. Based on the Azure public MEC location where the resource needs to be deployed, select the appropriate region value for the resource group to be created. For more information, see [Key concepts for Azure public MEC](key-concepts.md).
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1. Use SSH to connect to the jump box VM you deployed in the region with its IP address you noted previously.
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1. From the jump box, use SSH to connect to the VM you created in the Azure public MEC with its IP address you noted previously.
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```bash
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ssh azureuser@<python-example-ip-edge>

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