Dipti Pai joins Scott Hanselman to show how to run containerized and VM workloads to get quick, actionable insights at the edge—where data is created—using purpose-built hardware-as-a-service with Azure Stack Edge.

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You probably know that Azure Container Registry enables you to store and manage container images securely, but did you know it can also be used as a part of your DevOps pipelines?

Jeremy Likness shows Scott Hanselman how ACR can manage your images and even build them for you in the cloud.

Time index:

  • 0:00 – Overview
  • 1:57 – Generating a Dockerfile and building a container
  • 6:24 – Running the container with Azure Container Instances
  • 10:17 – Using container images in ACR as part of a build pipeline
  • 13:05 – Wrap-up

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Erich Robinson-Tillenburg joins Scott Hanselman to demo and explain health monitoring and configuration analysis for Azure Load Balancer using Azure Monitor for Networks, a central hub that provides access to health and connectivity monitoring for all your network resources.

Time index:

  • [0:00:00]– Overview
  • [0:01:16]– Load Balancer insights
  • [0:04:00]– Visualize functional dependencies
  • [0:06:20]– Exploring the Metrics dashboard
  • [0:10:58]– Flow Distribution Help
  • [0:11:57]– Network Connectivity Monitoring
  • [0:13:18]– Azure Monitor for Networks hub
  • [0:14:12]– Wrap-up

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Erich Robinson-Tillenburg joins Scott Hanselman to demo and explain health monitoring and configuration analysis for Azure Load Balancer using Azure Monitor for Networks, a central hub that provides access to health and connectivity monitoring for all your network resources.     

Index:

  • [0:00:00]– Overview
  • [0:01:16]– Load Balancer insights
  • [0:04:00]– Visualize functional dependencies
  • [0:06:20]– Exploring the Metrics dashboard
  • [0:10:58]– Flow Distribution Help
  • [0:11:57]– Network Connectivity Monitoring
  • [0:13:18]– Azure Monitor for Networks hub
  • [0:14:12]– Wrap-up

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Chad Metcalf from Docker joins Scott Hanselman to show how to use the Docker CLI to deploy a container to Azure Container Instances (ACI). Using only the Docker CLI, Chad deploys a Minecraft image to ACI and then shares the public IP address with Scott so he can join in the wacky, blocky world!

ACI provides general-purpose, serverless containers-as-a-service that can be used with Logic Apps, App Service, Azure Kubernetes Service, Azure Functions, and other platforms in Azure to serve dev, test, and production workloads. Use ACI for deploying build/test containers, host backend APIs, or as part of a workflow.

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Brian Blanchard joins Scott Hanselman to discuss Azure landing zones and how you can prepare your destination Azure environment—not only to receive migrating applications, but also to balance agility, governance, and security considerations.

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Brian Blanchard joins Scott Hanselman to discuss how you can unblock your cloud adoption efforts using the Cloud Adoption Framework governance methodology. This agile, iterative methodology enables governance maturity without impeding migration or innovation.

Video contents:

  • [0:00:00]- Overview
  • [0:00:23]- What is cloud governance?
  • [0:04:32]- Cloud Adoption Framework Governance Benchmark Tool
  • [0:08:17]- Cloud governance guides
  • [0:11:18]- Wrap-up

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In this episode, Azure CTO Mark Russinovich joins Scott Hanselman to show how you can use Azure Container Instances (ACI) to host a containerized application. Mark deploys an image processing container in three ways: as a standalone ACI container, as part of a Logic Apps workflow, and as the backend of a web app.

ACI provides general-purpose, serverless containers-as-a-service that can be used with Logic Apps, App Service, Azure Kubernetes Service, Azure Functions, and other platforms in Azure to serve dev, test, and production workloads. Use ACI for deploying build/test containers, host backend APIs, or as part of a workflow.

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GitHub Actions makes it easy to automate all your software workflows.

Tim Heuer joins Scott Hanselman to saunter through the process of deploying .NET Core apps to Azure using GitHub Actions.

Index:

  • [0:00:00]- Overview
  • [0:00:19]- Project setup
  • [0:04:02]- Configuring the workflow
  • [0:07:29]- Build job – setting up the environment
  • [0:13:18]- Build job – configuring the build
  • [0:16:07]- Getting the publish profile from Azure
  • [0:17:45]- Build job – handling secrets
  • [0:20:37]- Build job – deploying to Azure
  • [0:22:34]- Actions tab in GitHub and workflow log review
  • [0:24:59]- Adding artifacts to the job
  • [0:27:59]- Wrap-up

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Jimmy Campbell is back to show Scott Hanselman how to use App Configuration for feature management.

Traditionally, shipping a new application feature requires a complete redeployment of the application itself, and testing a feature often requires multiple deployments of the application. Now you can use feature flags in App Configuration to grant early access to new app functionality in production.

Index:

  • [0:00:00]- Introduction
  • [0:00:24]- Episode start
  • [0:03:47]- Demo: Simple feature flags
  • [0:06:56]- Exploring the code
  • [0:12:26]- Demo: Conditional processing with feature filters
  • [0:19:35]- Episode wrap-up

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