Azure Resources
General Resources
Main Azue Documentation : https://docs.microsoft.com/en-us/azure/
List of All Azure Services : https://portal.azure.com/#allservices
Azure Tips and Tricks : https://microsoft.github.io/AzureTipsAndTricks/
Azure Portal "How to" series - focused on using the Azure portal to do several different things. This is mostly about the services themselves, not the portal, and many topics do not apply to us (e.g. Azure Arc) but there are some very useful videos : https://youtube.com/playlist?list=PLLasX02E8BPBKgXP4oflOL29TtqTzwhxR
These look like really good intros to Azure, but requires a time investment. The examples are not really research computing examples but may be valuable learning examples. Most of these lessons were taken from other 'learning paths' and are still oriented towards IT professionals
Microsoft Learn: - Azure for Researchers part 1: Introduction to Cloud Computing - Azure for Researchers part 2: Cloud Security and Cost Management
Interface: Azure Portal
Azure Portal Documentation : https://docs.microsoft.com/en-us/azure/azure-portal/
Microsoft Azure Hierarchy: Organize your Azure resources effectively
Re-organize your portal view by creating a new dashboard (optional) : https://docs.microsoft.com/en-us/azure/azure-portal/azure-portal-dashboards
Azure portal productivity Tips : https://microsoft.github.io/AzureTipsAndTricks/blog/tip329.html#azure-portal-productivity-tips
https://microsoft.github.io/AzureTipsAndTricks/blog/tip329.html
Interface: Command Line
Command-line progamming of Cloud Services
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Azure PowerShell (Windows) https://docs.microsoft.com/en-us/powershell/azure/
- Introduction to PowerShell : https://docs.microsoft.com/en-us/powershell/azure/get-started-azureps?view=azps-3.0.0
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Azure Command Line Interface (CLI) (MacOS, Linux): https://docs.microsoft.com/en-us/cli/azure
- Introduction to Azure CLI https://docs.microsoft.com/en-us/cli/azure/get-started-with-azure-cli?view=azure-cli-latest
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Hybrid inferface: using the CLI inside the Azure Portal You can install and use the
az
CLI program on your own computer, but Azure also has a way you can use the CLI without installing anything, with a cloud-based terminal interface called the "cloud shell." For an overview see https://docs.microsoft.com/en-us/azure/cloud-shell/overview and for a great 'quickstart' see https://docs.microsoft.com/en-us/azure/cloud-shell/quickstart for a quick tutorial for how to use it.
In the quickstart, the first example shows you how to create a resource group using the CLI in the cloudshell. If you don't have permissions to create a new resource group, skip to the next example ("Create a Linux VM") and put your own resource group in the command for the-g
parameter and perhaps use a very unique name for the VM parameter.
Storage
Create a Storage Account:
https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account
Azure Storage Explorer: https://azure.microsoft.com/en-us/features/storage-explorer/
Blob Storage Documentation: https://docs.microsoft.com/en-us/azure/storage/blobs/
Create and Manage a Storage Account: https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account
Using the CLI with Storage Reference: https://docs.microsoft.com/en-us/cli/azure/storage/account
Using PowerShell Storage Reference: https://docs.microsoft.com/en-us/powershell/module/azure.storage
Create blob storage with CLI:
https://docs.microsoft.com/en-us/azure/storage/common/storage-azure-cli
Create blob storage with PowerShell:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-powershell
Compute
Overview of Compute Options: https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/compute-overview
Choosing an Azure Compute Service (Decision Tree): https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/compute-decision-tree
Interface: ARM templates
Azure Resource Manager Templates are JSON-formatted configuration files that dictate which resources to create.
Overview of ARM templates: https://docs.microsoft.com/en-us/azure/azure-resource-manager/templates/overview
explore quick start ARM templates (web): https://azure.microsoft.com/en-us/resources/templates/
explore quick start ARM templates (github): https://github.com/Azure/AzureStack-QuickStart-Templates
- many of these github repositories include a "deploy to Azure" button that will run the template via the portal and create resources.
Programming with SDKs
R and Azure
https://blog.revolutionanalytics.com/2018/12/azurestor.html
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/r-developers-guide
https://github.com/Azure/AzureContainers
https://github.com/Azure/AzureR
https://github.com/Azure/AzureRMR
Python and Azure
https://azure.microsoft.com/en-us/develop/python/
https://docs.microsoft.com/en-us/azure/python/
https://github.com/Azure/azure-sdk-for-python
https://github.com/Azure/azure-storage-python
https://azure.github.io/azure-sdk/releases/latest/all/python.html (Note that pypi.org/project/azure/ is deprecated/obsolete if you find that via google)
MATLAB and Azure
https://github.com/mathworks-ref-arch/matlab-on-azure
https://www.mathworks.com/solutions/cloud.html
Microsoft Azure Cosmos DB
CosmosDB is a very large scale data system that can act like other database systems including SQL, MongoDB (a popular no-sql database), and others.
It's advantage is that it can handle extremely large data sets (65tB) but is easy to get started. Google and AWS have similar offereings ( "BigQuery" and "Aurora" respectively).
If your data is not large, consider using SQL data systems which are also very widely used (and can be used on your own computer)
Intro: https://docs.microsoft.com/en-us/azure/cosmos-db/introduction
It can be free to use, but you have to turn that on when creating the service for your account: https://docs.microsoft.com/en-us/azure/cosmos-db/free-tier
You can run a notebook inside the databaase to queery data with python :
- Notebook Description: https://docs.microsoft.com/en-us/azure/cosmos-db/cosmosdb-jupyter-notebooks
- Service announcement: https://azure.microsoft.com/en-us/blog/analyze-and-visualize-your-data-with-azure-cosmos-db-notebooks/
- Video: https://www.youtube.com/watch?v=OrnZMkP5Eq4&list=PLLasX02E8BPBKgXP4oflOL29TtqTzwhxR&index=7
Cloud Architecture
This section has resources for advanced to intermediate cloud users who are interested in much more details that most researchers will ever need, and are really geared for IT staff. However, sometimes to find insight into how to approach your problem (especially for cloud timing ooptimazation projects) these may have useful sections.
Microsoft Azure Infrastructure Services for Architects by John Savill, Oct 2019, available from the MSU Library : http://catalog.lib.msu.edu/record=b13538669~S39
Azure has changed since 2019 but may still be relevant