27 posts tagged with "Azure DevOps"

Have you ever wanted to have required reviewers for a pull request in Azure DevOps? Probably. And that's an inbuilt feature of Azure DevOps. By using branch policies, you can set required reviewers for a pull request. If you want to ensure the code is reviewed by the appropriate people before it is merged into the main branch, this can prove very useful.

However, the required reviewers are static. You can set them up in the branch policies, but they don't change dynamically based on the code being altered or the people involved in the pull request. I spent many moons trawling the internet for an answer to this question, and I found that many people were asking the same question. The answer was always the same: "You can't do that."

However, there is a way. It is, hand on heart, marginally clunky. But the clunk is marginal, and more than acceptable. It involves co-opting build validations to achieve the desired effect. In this post, I'll show you how to do that.

Listing the Azure Pipelines using the Azure DevOps REST API and TypeScript is possible, but if you use the official Azure DevOps Client for Node.js, you might have issues. This is because it does not support pagination. So if you have a project with a large number of pipelines, then using the official client might mean you cannot retrieve it.

This post implements an alternative mechanism, directly using the Azure DevOps API and thus handling pagination. If you're curious as to how to create a pipeline, then check out my post on creating a pipeline with the Azure DevOps API.

If you work with Azure Pipelines, you'll likely have come upon the need to create service connections. These are the connections to external services that your pipelines need to run. You can interrogate these connections using the Azure DevOps REST API. This post goes through how to do this; both using curl and using TypeScript.

I'm writing this post because when I attempted to use the Azure DevOps Client for Node.js package to acquire them I found it lacking, and not for the first time. I am going to allow myself a little moan here; ever since Microsoft acquired GitHub, the Azure DevOps ecosystem feels like it has had insufficient investment.

However, as is often the case, there is a way. The Azure DevOps REST API is there for us, and with a little fetch we can get the job done.

The npx command is a powerful tool for running CLI tools shipped as npm packages, without having to install them globally. npx is typically used to run packages on the public npm registry. However, if you have a private npm feed, you can also use npx to run packages available on that feed.

Azure Artifacts is a feature of Azure DevOps that supports publishing npm packages to a feed for consumption. (You might want to read this guide on publishing npm packages to Azure Artifacts.) By combining npx and Azure Artifacts, you can deliver your CLI tool to consumers in a way that's easy to use and secure.

This post shows how to use npx and Azure Artifacts to deliver your private CLI tool to consumers.

Azure DevOps has a feature called Azure Artifacts that supports publishing npm packages to a feed for consumption. Publishing a private npm package with Azure DevOps is a common scenario for teams that want to share code across projects or organizations. This post shows how to publish a private npm package with Azure DevOps.

Publishing a private npm package with Azure DevOps is fairly straightforward, but surprisingly documentation is a little sparse.

Azure DevOps has a feature called Azure Artifacts that supports publishing npm packages to a feed for consumption. Typically those npm packages are intended to be consumed by a restricted audience. To install a package published to a private feed you need to configure authentication, and for non Windows users this is a convoluted process.

azdo-npm-auth exists to ease the setting up of local authentication to Azure DevOps npm feeds, particularly for non Windows users.

When I attempted to set the column of a User Story in Azure DevOps using the Azure DevOps Client for Node.js, I was surprised to find that the field System.BoardColumn was read-only and I bumped into the error:

TF401326: Invalid field status 'ReadOnly' for field 'System.BoardColumn'.

This post explains how to set the column of a User Story in Azure DevOps using the Azure DevOps Client for Node.js and it's based in part on a Stack Overflow question.

When deploying Azure Container Apps from Azure DevOps, you can use the azd command to speed up deployments that do not affect infrastructure. Given that when you're deploying, it's far more common to be making a code and / or content change and not an infrastructure one, this can be a significant time saver.

If you're looking for information on how to use azd to speed up deployments of Azure Static Web Apps in GitHub Actions, then you might want to read this post.

I'm a keen user of Bun. Bun is a fast TypeScript / JavaScript runtime which can be used to speed up the TypeScript / JavaScript you have. It's a drop-in replacement for Node.js, and it's compatible with the vast majority of the Node.js ecosystem. (There are still rough edges that have issues.) In this post we'll look at how to use it in Azure Pipelines.

Bicep has had linting since version 0.4.1. It's a great way to ensure that your bicep files conform to best practices. Interestingly, when the linting feature first shipped, there wasn't an explicit lint command as part of the CLI. Instead, you had to run bicep build and it would run the linter as part of the build process. This was a little confusing as it was not obvious that the linter was running.

As of version 0.21.1 there is a dedicated bicep lint command. This is a nice step forwards; it allows you to explicitly lint your your code, rather than have it happen as a side effect of build. And it is useful if you want to run the linter as part of a CI/CD pipeline. What's more the bicep lint command is now available in the Azure CLI as well. You can run az bicep lint to lint your bicep files.

In this post we'll look at how to run lint Bicep in Azure Pipelines and GitHub Actions, and surface the output in the UI.

If you deploy Bicep templates to Azure in Azure DevOps, you'll likely use the dedicated Azure DevOps task; the catchily named AzureResourceManagerTemplateDeployment@3. This task has had support for deploying Bicep since early 2022. But whilst vanilla Bicep is supported, there's a use case which isn't supported; private Bicep registries.

Build validations are a great way to protect your branches in Azure DevOps. It's possible to use the Azure DevOps API to acquire the build validations a project uses. This post shows you how using curl and the Node.js API.

Azure Static Web Apps have just released a new feature for Azure DevOps users called "named preview environments". They allow users to deploy changes to an environment, prior to merging.

Private Azure Artifact feeds in in Azure DevOps can be used to serve NuGet packages. To build applications both locally and in an Azure Pipeline using those packages, there are a few steps to follow which this post will demonstrate.

I love Netlify deploy previews. This post implements a pull request deployment preview mechanism for Azure Static Web Apps in the context of Azure DevOps which is very much inspired by the Netlify offering.

How can we deploy resources to Azure, and then run an integration test through them in the context of an Azure Pipeline? This post will show how to do this by permissioning our Azure Pipeline to access these resources using Azure RBAC role assignments. It will also demonstrate a dotnet test that runs in the context of the pipeline and makes use of those role assignments.

This post demonstrates how to deploy Azure Static Web Apps using Bicep and Azure DevOps. It includes a few workarounds for the "Provider is invalid. Cannot change the Provider. Please detach your static site first if you wish to use to another deployment provider." issue.

Creating an Azure Pipeline using the Azure DevOps REST API is possible, but badly documented. This post goes through how to do this; both using curl and using TypeScript.

If you're curious as to how to list pipelines, then check out my post on listing pipelines with the Azure DevOps API.

I've recently found myself developing custom pipelines task extensions for Azure DevOps. The extensions being developed end up in the Azure DevOps Marketplace. What you see there when you look at existing extensions is some pretty lovely documentation.

The Azure DevOps Client library for Node.js has limitations and missing features, IGitApi.getRefs is missing pagination and IWikiApi is missing page create or update. This post details some of these issues and illustrates a workaround using the Azure DevOps REST API.