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This is achieved using the condition: always() on the task, and performing anka delete. The rest of the steps are an example of how you can copy the results back out into the host so that the agent can upload them as artifacts.ДЇinally, since weвЂ™re spinning up a fresh VM on each run of the pipeline, we need to ensure that the last step/task cleans it up. However, you can see that all weвЂ™re doing in the example is install/update ruby gems and kick-off fastlane. For complex commands, I recommend including them in your repo inside of a bash script, then executing them in the anka run command. Once the VM is prepared, we can then execute our commands through anka run on the hostвЂ™s CLI. The agent and Azure Pipelines automatically clone your project repo into the current working directory on the host. Once the VM is running, we copy the contents of the current host directory into the VM.

We call this the VM Template because you shouldnвЂ™t use it directly to avoid polluting the VM for subsequent runs. It will clone from the VM Template to create a copy that will run your job. Once running, the first few steps in the YAML will prepare an Anka VM on the machine you registered your agent. You can override these manually when running the pipeline, as seen below: The parameters section defines the default values to use/interpolate throughout the various steps and commands.

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Feel free to modify it especially if you want to pull from your Anka Build Registry before cloning the VM Template (uncomment the pull line). Once registered to the pool, we can now run the YAML above in your Pipelines. Once youвЂ™ve unpacked the agent on the machine, you can configure/register it as a self-hosted agent to the вЂњAnka macOSвЂќ pool (you may have to create the pool manually) by following the official documentation.

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YouвЂ™ll want to download the latest Azure Pipelines Agent version from the official Github repo. At the very top of the file, we set which pool of registered agents to use.

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The most recent version of the above code can be found on our Examples Github Repo. While [[ -f '/tmp/registry-pull-lock-$/xml/cobertura.xml'ДЄnka delete -yes ado-fastlane+$()_$(Build.SourceBranchName)_$(Build.SourceVersion)_$(Build.BuildNumber)_$(Agent.Name) # First we'll create a lock-file, because pulling multiple VMs at the same time might cause issues. # This script will get the latest anka template, we need to make sure only one template is pulled at a time on a machine. Here is the example YAML weвЂ™ll describe: trigger:ДisplayName: 'Anka VM Template Name or UUID'Дefault: 'vanilla+port-forward-22+brew-git'ДisplayName: 'Publish Code Coverage Name'

This provides a similar experience to Github Actions ( see our blog on how that works) and several other CI/CT/CD tools that speed up the adoption or migration into Azure DevOps. One of the great parts of Azure Pipelines is its use of YAML to define jobs and steps. Azure Pipelines combines continuous integration (CI) and continuous delivery (CD) to test and build your code and ship it to any target.вЂќ It works with just about any language or project type. вЂњAzure Pipelines automatically builds and tests code projects to make them available to others. From the What is Azure Pipelines? documentation:

LetвЂ™s start with a description of Azure Pipelines.

YouвЂ™ll also need an Azure DevOps Project set up within your Azure organization. It needs to have the Anka package installed, and at least one VM Template/Tag stored on it. Note: For this guide, youвЂ™ll need a single macOS machine to download, configure, and register the Azure Pipelines Agents on. Another huge benefit of Anka is the ability to run multiple VMs on a single machine, easily doubling the macOS fleet your team uses for automation. With Anka Build, you can create macOS VM images/templates, store and manage them in a central Anka registry, and provision on-demand instances on a cluster of either local or external mac hardware. You can find more information about Azure DevOps on their documentation site.ДЄnka Build virtualization solution enables the creation and management of macOS VMs on mac host machines in a container-like manner. WeвЂ™d love to tell you all about them, but weвЂ™ll focus specifically on Pipelines and self-hosted Azure Pipelines Agents. Microsoft has a vast library of services under Azure DevOps which support teams in planning work, collaborating on code, and automating building and testing.

#Azure mac os vm how to

In this blog post, weвЂ™re going to show you how to set up and utilize on-demand macOS VMs for iOS building and testing inside of Azure DevOps Pipelines using VeertuвЂ™s Anka Build solution.