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Consider the following scenario in Azure:

• We want to create a new Azure Function triggered by an HTTP request containing some data.
• We want to write this data as new entities into a Storage Table.
• We want to avoid storing any connection string in your code and instead use an Entra ID Managed Identity.
• We want to avoid writing any specific code by using the SDK for accessing the Table.

The TableOutputAttribute comes to the rescue. Let us see how.

Azure Key Vault is a cloud service that provides secure storage for secrets, keys, and certificates of your applications. Integrating Key Vault with Azure DevOps pipelines enhances security by managing sensitive information efficiently.

This article will guide you through the process of accessing secrets from an Azure Key Vault using a Service Principal with a certificate within an Azure pipeline. We will start for the very first steps of creating all the needed resources in Azure, before going back to Azure DevOps. For training reasons, we will perform all the configuration steps with CLI commands, avoiding the Azure Portal UI.

Consider the following scenario. Multiple developers work on one feature branch of a project. Developer A pushes commits into the feature branch, developer B oversees that his local repository is behind origin, force pushes his commits and as a result overwrites the commits from Developer A. Developer A pulls the changes and his commits are now gone. Can Developer’s A missing commits be restored and how?

When working with Docker in Visual Studio, the default behavior of the IDE is to place the Dockerfile at the project level. However, if your solution has multiple projects and you want to achieve easier integration of the Dockerfile into your Azure pipelines, then you might want to move the file to the solution level. Let us see how to achieve this task.

When you create a fake object using FakeItEasy, it allows you to configure the behavior of its methods and properties. By default, not configured calls to these members return default values, for example a method call will return null. This behavior can make your unit-tests perform unexpectedly, since you will be testing only with the returned default value. If you want to enforce stricter behavior during testing, then strict fakes come into play.