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

Related links:

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.

Related links:

Containers are taking over, changing the way systems are developed and deployed.

Just imagine if you could deploy SQL Server or even your whole application stack in just minutes. You can do that, using containers! In this session, we’ll get your started on your container journey learning how to deploy SQL Server in Containers.

Resources:

About Anthony Nocentino:

Anthony is the Founder and President of Centino Systems as well as a Pluralsight Author and a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.

Think serverless is just for functions? Think again!

Brendan Burns joins Donovan Brown to look at how serverless containers can provide a cloud-native container experience without the worry of a server or operating system.

They also look at how this integrates with the Azure Kubernetes Service (AKS).

Related links:

Container registries are repositories for storing container images, but who should use them?

Which one should we choose and why are they important for cloud native applications?

Steve Lasker sits with us in Building 99 today and talks about registries and more specifically Azure Container Registry and the practices around using them for your applications.

Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor.

Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation.

Customers who like the extensive metrics which Prometheus provides on Kubernetes also like how easy it is to use Azure Monitor for containers which provides fully managed, out of the box monitoring for Azure Kubernetes Service (AKS) clusters.

Related Links:

Julie Lerman shares some insight and great tips for working with Entity Framework in Docker. You will see thing tips for working with the SQL Server Docker image, using environment variables for passports, using the Docker tools for Visual Studio and so much more!

Useful Links

Container startup time is the price of admission, but startup time is also an inhibitor for many serverless scenarios.

Steve Lasker joins Lara Rubbelke to show how Project Teleport eliminates the download and decompression of layers by directly mounting expanded layers, potentially unlocking many new scenarios.

Related Links

In this episode, learn how the Anomaly Detection service comes to your on-premises systems via containers.

By deploying the same API service close to your data in containers, now you don’t have to worry about situations when you have to keep the data on-premises to follow regulation, or to deal with network latency, or just want to reuse the same application powered-by Anomaly Detector across both the cloud and on-premise.