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awesome-kubernetes/docs/azure.md
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Microsoft Azure

  1. Azure
  2. Azure Mindmap
  3. Azure Policy Best Practices
  4. Azure Sandbox
  5. Microsoft REST API Guidelines
  6. Azure Quick Review
  7. New Features
  8. Blogs
  9. Azure Training and Certifications
  10. Azure Naming Convention
  11. Mission-critical Architecture on Azure
  12. Understand Azure Load Balancing
  13. Azure Load Testing
  14. Microsoft Linux Distribution CBL Mariner
  15. Azure Patterns
  16. ARM Templates
  17. DevTest
  18. Azure DevOps
    1. YAML Schema in DevOps Azure Pipelines
    2. Azure Pipeline Tasks
    3. Azure DevOps Snippets
  19. Azure AD and RBAC. Azure Tenant and Azure Subscription. Service Principal SPN. Microsoft Entra
    1. Register applications in Azure AD. Authenticate apps and services
    2. Azure AD Pen Testing
  20. Azure Arc. Azures Hybrid And Multi-Cloud Platform. GitOps with Azure Arc
  21. Secure DevOps Kit for Azure
  22. Azure App Service
  23. Azure Application Gateway
  24. Azure Functions
  25. Azure Monitor managed service for Prometheus
  26. Mobile Apps
  27. Powershell
    1. Microsoft Graph PowerShell SDK
    2. Powershell repos
    3. Crescendo powershell module
    4. Secrets Management with Powershell
    5. Azure Resource Inventory
  28. Azure CLI. AZ CLI
  29. Azure Run Command
  30. IaC with PowerShell DSC Desired State Configuration
  31. Azure Bicep
  32. Azure Cross region Load Balancer
  33. Azure Traffic Manager
  34. Azure DNS
  35. Azure OpenVPN
  36. Azure Security
    1. Azure Microsoft Defender for Cloud
  37. Azure Virtual WAN. vWAN
  38. Data Ingestion. Azure Data Factory
  39. WinGet Windows Package Manager CLI
  40. Windows 11
  41. Azure API Management
  42. Azure Container Apps
  43. Azure Container Instances
  44. Azure Container Storage
  45. Windows Server Container Host
  46. Disaster Recovery
  47. Azure Samples (Boilerplates)
  48. Azure Healthcare Data Services
  49. Office 365
  50. Azure Books
  51. Azure OpenAI
  52. Windows Tools
  53. Images
  54. Videos
  55. Tweets
[![Azure Terraformer](images/azure-terraformer.jpg){: style="width:7%"}](https://www.youtube.com/@azure-terraformer)

Azure

Azure Mindmap

Azure Policy Best Practices

Azure Sandbox

  • Azure Sandbox Azure Sandbox is a collection of interdependent cloud computing configurations for implementing common Azure services on a single subscription. This collection provides a flexible and cost effective sandbox environment for experimenting with Azure services and capabilities.

Microsoft REST API Guidelines

Azure Quick Review

  • ==github.com/Azure/azqr== Azure Quick Review (azqr) is a command-line interface (CLI) tool specifically designed to analyze Azure resources and identify whether they comply with Azure's best practices and recommendations. Its primary purpose is to provide users with a detailed overview of their Azure resources, enabling them to easily identify any non-compliant configurations or potential areas for improvement.

New Features

Blogs

Azure Training and Certifications

Azure Naming Convention

Mission-critical Architecture on Azure

Understand Azure Load Balancing

Azure Load Testing

Microsoft Linux Distribution CBL Mariner

Azure Patterns

ARM Templates

DevTest

Azure DevOps

YAML Schema in DevOps Azure Pipelines

Azure Pipeline Tasks

  • ==Microsoft/azure-pipelines-tasks== This repo contains the tasks that are provided out-of-the-box with Azure Pipelines and Team Foundation Server. This provides open examples on how we write tasks which will help you write other tasks which can be uploaded to your account or server.

Azure DevOps Snippets

  • gist.github.com: This snippet contains the steps to generate a terraform plan and post it as a comment of a pull request in Azure DevOps

    - script: |
        terraform plan -out tf.tfplan
    displayName: Generate Terraform plan
    
    - script: |
        terraform show -no-color tf.tfplan > $(Agent.TempDirectory)/tf.txt
    displayName: Convert Terraform plan to text
    
    - bash: |
        cd $(Agent.TempDirectory)
        ENCODED_URL=$(echo "$(System.CollectionUri)$(System.TeamProject)/_apis/git/repositories/${{ variables.SourceRepositoryName }}/pullRequests/$(System.PullRequest.PullRequestId)/threads?api-version=7.0" | sed 's/ /%20/g')
        jq --rawfile comment tf.txt '.comments[0].content=$comment' <<< '{"comments": [{"parentCommentId": 0,"content": "","commentType": 1}],"status": 1}' |
        curl --request POST "$ENCODED_URL" \
        --header "Content-Type: application/json" \
        --header "Accept: application/json" \
        --header "Authorization: Bearer $SYSTEM_ACCESSTOKEN" \
        --data @- \
        --verbose
    env:
        SYSTEM_ACCESSTOKEN: $(System.AccessToken)
    displayName: 'Post comment with Terraform Plan'
    

Azure AD and RBAC. Azure Tenant and Azure Subscription. Service Principal SPN. Microsoft Entra

Register applications in Azure AD. Authenticate apps and services

Azure AD Pen Testing

Azure Arc. Azures Hybrid And Multi-Cloud Platform. GitOps with Azure Arc

Secure DevOps Kit for Azure

Azure App Service

Azure Application Gateway

Azure Functions

Azure Monitor managed service for Prometheus

Mobile Apps

Powershell

Microsoft Graph PowerShell SDK

Powershell repos

Crescendo powershell module

Secrets Management with Powershell

Azure Resource Inventory

Azure CLI. AZ CLI

Azure Run Command

IaC with PowerShell DSC Desired State Configuration

Azure Bicep

Azure Cross region Load Balancer

Azure Traffic Manager

Azure DNS

  • learn.microsoft.com: What is Azure DNS Private Resolver? Azure DNS Private Resolver is a new service that enables you to query Azure DNS private zones from an on-premises environment and vice versa without deploying VM based DNS servers. Customers will no longer need to provision IaaS based solutions on their Virtual Networks to resolve names registered on Azure Private DNS Zones and will be able to do conditional forwarding of domains back to on-prem, multi-cloud and public DNS servers.

Azure OpenVPN

Azure Security

Azure Microsoft Defender for Cloud

Azure Virtual WAN. vWAN

Data Ingestion. Azure Data Factory

  • ==medium.com/codex: 7 Best Practices for Data Ingestion==
    • Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale.
    • Data Ingestion is defined as the process of absorbing data from a vast multitude of sources, and then transferring it to a target site where it can be analyzed and deposited.
    • A Data Engineer spends more than 50% of his time writing different pipelines that move data from one place to another. There are two basic frameworks to achieve the same:
      • ETL: Extract — Transform — Load
      • ELT: Extract — Load — Transform
    • However, in both the frameworks the common element is to be able to extract the data and load it into another destination. This is Data Ingestion.
    • On a broad categorization, there are mainly 3 types of Data Ingestion:
      • Batch-based Data Ingestion: Batch-based ingestion happens at a regularly scheduled time. The data is ingested in batches. This is important when a business needs to monitor daily reports, ex: sales reports for different stores. This is the most commonly used data ingestion use case.
      • Real-time/Streaming Data Ingestion:
        • The process of gathering and transmitting data from source systems in real-time solutions such as Change Data Capture (CDC) is known as Real-Time Data Ingestion.
        • CDC or Streaming Data captures any changes, new transactions, or rollback in real time and moves changed data to the destination, without impacting the database workload.
        • Real-Time Ingestion is critical in areas like power grid monitoring, operational analytics, stock market analytics, dynamic pricing in airlines, and recommendation engines.
      • Lambda-based Data Ingestion Architecture: Lambda architecture in Data ingestion tries to use the best practices of both batch and real-time ingestion.
        • Batch Layer: Computes the data based on the whole picture. This is more accurate however is slower to compute.
        • Speed Layer: Is used for real-time ingestion, the computed data might not be completely accurate, however, gives a real-time picture of the data.
        • Serving layer: The outputs from the batch layer in the form of batch views and those coming from the speed layer in the form of near real-time views get forwarded to the serving. This layer indexes the batch views so that they can be queried in low latency on an ad-hoc basis.
  • mssqltips.com: Choosing Between SQL Server Integration Services and Azure Data Factory

WinGet Windows Package Manager CLI

Windows 11

Azure API Management

Azure Container Apps

Azure Container Instances

Azure Container Storage

Windows Server Container Host

Disaster Recovery

Azure Samples (Boilerplates)

Azure Healthcare Data Services

Office 365

Azure Books

Azure OpenAI

Windows Tools

Images

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[![pizza model](images/pizza-model-vert.jpeg)](https://www.catapultsystems.com/blogs/introducing-the-third-of-three-microsoft-clouds-azure/)
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Videos

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<iframe width="560" height="315" src="https://www.youtube.com/embed/53-Y_aI0KpE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
<iframe width="560" height="315" src="https://www.youtube.com/embed/rC1TV0_sIrM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
<iframe width="560" height="315" src="https://www.youtube.com/embed/4BibQ69MD8c" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
</center>

Tweets

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<center>
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Cloud Networking concepts you need to know before getting into being a good architect<br><br>⏬Here are the useful link 🧰<br><br>Thread🧵👇</p>&mdash; Satyen Kumar (@SatyenKumar) <a href="https://twitter.com/SatyenKumar/status/1502358421865177088?ref_src=twsrc%5Etfw">March 11, 2022</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">PowerShell cheatsheet<a href="https://twitter.com/hashtag/devops?src=hash&amp;ref_src=twsrc%5Etfw">#devops</a> <a href="https://twitter.com/hashtag/devsecops?src=hash&amp;ref_src=twsrc%5Etfw">#devsecops</a> <a href="https://twitter.com/hashtag/kubernetes?src=hash&amp;ref_src=twsrc%5Etfw">#kubernetes</a> <a href="https://twitter.com/hashtag/cicd?src=hash&amp;ref_src=twsrc%5Etfw">#cicd</a> <a href="https://twitter.com/hashtag/k8s?src=hash&amp;ref_src=twsrc%5Etfw">#k8s</a> <a href="https://twitter.com/hashtag/linux?src=hash&amp;ref_src=twsrc%5Etfw">#linux</a> <a href="https://twitter.com/hashtag/docker?src=hash&amp;ref_src=twsrc%5Etfw">#docker</a> <a href="https://twitter.com/hashtag/sysadmin?src=hash&amp;ref_src=twsrc%5Etfw">#sysadmin</a> <a href="https://twitter.com/hashtag/automation?src=hash&amp;ref_src=twsrc%5Etfw">#automation</a> <a href="https://twitter.com/hashtag/technology?src=hash&amp;ref_src=twsrc%5Etfw">#technology</a> <a href="https://twitter.com/hashtag/cloudcomputing?src=hash&amp;ref_src=twsrc%5Etfw">#cloudcomputing</a> <a href="https://twitter.com/hashtag/serverless?src=hash&amp;ref_src=twsrc%5Etfw">#serverless</a> <a href="https://twitter.com/hashtag/windows?src=hash&amp;ref_src=twsrc%5Etfw">#windows</a> <a href="https://twitter.com/hashtag/powershell?src=hash&amp;ref_src=twsrc%5Etfw">#powershell</a> <a href="https://t.co/zljv4ikFp3">pic.twitter.com/zljv4ikFp3</a></p>&mdash; Valdemar (@heyValdemar) <a href="https://twitter.com/heyValdemar/status/1541461515802480641?ref_src=twsrc%5Etfw">June 27, 2022</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Are you looking to start a career in AI using Microsoft Azure? <br><br>Here are some of the best Azure services to learn:</p>&mdash; Simon (@simonholdorf) <a href="https://twitter.com/simonholdorf/status/1626147296630001667?ref_src=twsrc%5Etfw">February 16, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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