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    Technology

    The DevOps Lab – Channel 9

    The DevOps Lab has been reimagined for FY22! April Edwards will continue to bring you the latest and greatest in DevOps and engage the viewers and the community in the show. April always welcomes your input! We’ll go beyond the buzzword and show you how to not only solve your DevOps problems using a wide range of tools and techniques but how these tools and techniques are put to use in the real world! Beginning, August 31, 2021, tune in every Tuesday at 7:00 AM pacific for a new episode! Find our playlist on YouTube: Azure DevOps YouTube

    Advertise
    • Apple Podcasts
    • Google Play
    • Spotify
    Latest Episodes:
    Continuous Monitoring for Web Perf and Accessibility Jan 14, 2021
    Show notes

    Learn how the Azure Cloud Collaboration Center (CCC) visualization team continuously monitors a Web App for Performance and Accessibility using open-source tools Lighthouse API for perf and Axe-Core for accessibility and Azure DevOps pipelines to prevent perf regressions and common accessibility bugs from reaching production. Also, ability to visualize and report the rich results in integrated way with ADO pipeline for surfacing the anomalies/violations which can drive to clear actions.

    Jump To:

    • [00:30] - Intro
    • [02:10] - Why continuously monitor perf and accessibility?
    • [03:11] - Perceived performance vs real user metrics
    • [04:10] - Accessibility testing
    • [04:50] - Identification vs action
    • [05:38] - Monitoring with Azure DevOps pipelines
    • [08:50] - Intro recap
    • [09:15] - Using Lighthouse
    • [10:14] - Demo (Lighthouse & Axe)
    • [14:04] - Why use Lighthouse and Axe core?
    • [15:03] - Summary & more info
    Learn More:
    • Lighthouse Docs
    • Axe Core
    • Azure Pipelines Docs
    • Sample App
    DevOps Lab Favorite Links:
    • Azure DevOps Docs
    • GitHub Actions
    • Azure DevOps YouTube

    Create a Free Azure DevOps Account

    Project Bicep – Next generation ARM Templates Jan 13, 2021
    Show notes In this video, we'll go over the what, why, and how of Project Bicep and how it's going to make deploying infrastructure to Azure even easier. We'll go over the basics of what makes Bicep useful, as well as show off some of the more advanced capabilities. Jump To:
    • [01:32] - what is project bicep
    • [04:00] - get started with bicep & demo
    • [10:44] - workflow for authoring and deploying bicep code
    • [12:45] - adding complexity and wiring resources together
    • [15:20] - moving from ARM template -> bicep with the decompiler
    • [17:20] - using modules
    • [21:30] - Release status of bicep
    Learn More:
    • Azure / BICEP on Github
    DevOps Favorite Links:
    • Azure DevOps Docs
    • GitHub Actions
    • Azure DevOps YouTube

    Create a Free Azure DevOps Account

    Farmer - Making Repeatable Azure Deployments Easy Dec 29, 2020
    Show notes

    Infrastructure as code is one of the most important and underutilized aspects of DevOps. In this episode of DevOps Lab, we will talk about a cool way to handle Infrastructure as code for Azure using Farmer which is a .NET library which is designed to make repeatable Azure deployments easy. It's built on top of ARM templates and the Azure CLI. We will demonstrate how Farmer can be used for a specific use case.

    Jump To:

    • [02:06] About Farmer
    • [03:45] Demo
    • [11:46] How much of Azure can we use with Farmer?

    Learn More:

    • Farmer - Making Repeatable Azure Deployments Easy
    • Azure DevOps Docs
    • GitHub Actions
    • Azure DevOps YouTube

    Create a Free Azure DevOps Account

    MLflow with Azure Machine Learning Dec 22, 2020
    Show notes

    We'll walk through the concepts and features of MLflow support in Azure Machine Learning. We'll be showing a few examples on how to manage your machine learning assets using MLflow in variety of workflows including GitHub Actions.

    Jump To:

    • [01:00] What is Mlflow?
    • [02:16] Why MLflow is useful
    • [03:35] Intro to using AzureML and MLflow together
    • [05:20] Demo - How to start tracking with MLflow in AzureML
    • [08:00] Demo – Using MLflow Projects with AzureML
    • [10:33] Why use MLflow and AzureML together
    • [16:23] Walk through CI/CD example with MLflow, AzureML and GitHub Actions

    More Information:

    • MLflow Tracking for ML experiments - Azure Machine Learning | Microsoft Docs
    • MachineLearningNotebooks/how-to-use-azureml/ml-frameworks/using-mlflow at master Azure/MachineLearningNotebooks (github.com)
    • MachineLearningNotebooks/how-to-use-azureml/track-and-monitor-experiments/using-mlflow at master · Azure/MachineLearningNotebooks (github.com)
    Using your organizational DevTest benefits Dec 08, 2020
    Show notes

    A deep dive into understanding how to manage, provision and realize the most value from your enterprise and pay as you go DevTest subscriptions. We'll look at Azure management groups, the enrollment portal and how to best think about the various stages of developer and pre-production data and compute.

    Jump To:

    • [02:11] what is DevTest
    • [02:36] Inner loop development in the context of developing for production
    • [03:43] Understanding pre-production stages in a DevTest process
    • [04:42] Organizational DevTest offers
    • [06:30] Individual Credits Subscriptions for DevTest vs Organizational DevTest
    • [07:18] Azure pricing calculator
    • [08:30] Understanding Pay-as-You Go and Pay as You Go DevTest for organizations
    • [09:35] Understanding Azure AD directory tenants and Azure subscription associations
    • [10:55] Understanding Forests, Domains, nested hierarchies and Azure
    • [13:00] Translating AD concepts to Azure with RBAC, IAM
    • [14:15] Understanding the Azure enrollment portal
    • [15:30] Creating DevTest accounts in the Azure enrollment portal
    • [16:30] EA DevTest vs Pay as You Go DevTest
    • [18:00] Managing subscription with Azure Management groups
    • [19:00] Managed access to data by resource isolation

    Learn More:

    • Enterprise Dev/Test | Microsoft Azure
    • Pay-As-You-Go Dev/Test | Microsoft Azure
    • Azure management groups documentation | Microsoft Docs
    • Azure EA portal administration | Microsoft Docs
    • Azure DevOps Docs
    • GitHub Actions
    • Azure DevOps YouTube

    Create a Free Azure DevOps Account

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