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Changed https://ms.portal.azure.com to https://portal.azure.com in README documentation as only Microsoft employees get the ms prefix
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@ -9,11 +9,11 @@ An instance of this tool may be live, [here](http://msrcalebubuntu.eastus.clouda
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## Azure VM setup instructions
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We develop / use the tool on Data Science Virtual Machines for Linux (Ubuntu) images on Azure (see the [Azure Portal](https://ms.portal.azure.com/)), so these setup instructions are tailored for that environment, however there is no reason that this project cannot be run on any machine (see "Local setup instructions below").
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We develop / use the tool on Data Science Virtual Machines for Linux (Ubuntu) images on Azure (see the [Azure Portal](https://portal.azure.com/)), so these setup instructions are tailored for that environment, however there is no reason that this project cannot be run on any machine (see "Local setup instructions below").
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### Initial machine setup
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- Create a new VM with the Data Science Virtual Machine for Linux (Ubuntu) image via the [Azure Portal](https://ms.portal.azure.com/)
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- Create a new VM with the Data Science Virtual Machine for Linux (Ubuntu) image via the [Azure Portal](https://portal.azure.com/)
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- Open the incoming ports 4040 and 4444 to the VM through the Azure Portal (these ports will be used by the web tool)
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- SSH into the VM using a desktop SSH client
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- Run the following commands to install the additional necessary Python packages:
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@ -26,7 +26,7 @@ pip install --user --upgrade bottle mercantile rasterio
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conda deactivate
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```
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- Log out and log back in
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- Visit the Microsoft AI for Earth [Azure storage account](https://ms.portal.azure.com/#blade/Microsoft_Azure_Storage/FileShareMenuBlade/overview/storageAccountId/%2Fsubscriptions%2Fc9726640-cf74-4111-92f5-0d1c87564b93%2FresourceGroups%2FLandcover2%2Fproviders%2FMicrosoft.Storage%2FstorageAccounts%2Fmslandcoverstorageeast/path/vm-fileshare) (your account will need to be given access first)
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- Visit the Microsoft AI for Earth [Azure storage account](https://portal.azure.com/#blade/Microsoft_Azure_Storage/FileShareMenuBlade/overview/storageAccountId/%2Fsubscriptions%2Fc9726640-cf74-4111-92f5-0d1c87564b93%2FresourceGroups%2FLandcover2%2Fproviders%2FMicrosoft.Storage%2FstorageAccounts%2Fmslandcoverstorageeast/path/vm-fileshare) (your account will need to be given access first)
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- Download the `web-tool/mount_remotes_for_deployment.sh` and `web-tool/web_tool_data_install.sh` scripts to the home directory
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- Run the `mount_remotes_for_deployment.sh` script to mount the necessary blob storage containers (note: you will need to run this script every time you restart the VM)
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