azure devops api powershell module

This article shows you how to automate the creation and update of Application Insights resources automatically by using Azure Resource Management.

I used the same name so it is called NuGetApiKey with a value of $(NuGetApiKey). To get the current values, use: And you can set all of these parameters using: This will set the daily cap to 200 GB/day, configure the daily cap reset time to 12:00 UTC, send emails both when the cap is hit and the warning level is met, and set the warning threshold to 90% of the cap. ), Apart from it we are using Pester for testing, psake for build and of course Azure DevOps Services for CI CD Pipeline to Publish module over PowerShell Gallery. Build variables are normally also environment variables. More information on PowerShell Module can be referred here. By storing your PowerShell scripts in a private NuGet repository within Azure Artifacts, you can give members of your team the ability to download or update them quickly using the command line. If you want to delete the wiki page using the REST API you can use the following command: In the next part of this blog post series I want to share how you can use above knowledge to create a wiki from within an Azure DevOps Pipeline. My build.ps1 has logic built into it to detect if its on the master branch or part of a pull request so it is safe to run in both scenarios.
Once I was into my build definition, I added a step to run a PowerShell script. Once I had that step in place, I started testing my build and it mostly worked really well. If you also want your build to run for pull request validation then you can do that on this screen too.

Copy this script to save as Set-ApplicationInsightsRetention.ps1. While Azure DevOps templates are nice, they don't give you syntax highlighting for the scripts of each step. Now we know how to create a Markdown document we need to learn how to create an Azure DevOps Wiki page. I gave it the name PSGraph to match the name of my GitHub repository for that module.

Azure DevOps REST API documentation for Wiki pages, Creating Azure DevOps WIKI Pages from within a pipeline - part 2, PUT https://dev.azure.com/{organization}/{project}/_apis/wiki/wikis/{wikiIdentifier}/pages?path={path}&api-version=5.0, PowerShell script to create an Azure DevOps Wiki page. Here's an example using ARMClient, to set the reset time to a new hour (in this example 12:00 UTC): To get current pricing plan, use the Set-AzApplicationInsightsPricingPlan cmdlet: To set the pricing plan, use same cmdlet with the -PricingPlan specified: You can also set the pricing plan on an existing Application Insights resource using the Resource Manager template above, omitting the "microsoft.insights/components" resource and the dependsOn node from the billing resource. You can run a psake build using Invoke-psake command and providing build file. To make it easier to work with Azure DevOps in Powershell, PSDevOps includes several custom formatters. Almost every function in PSDevOps is "pipeline aware", and can accept multiple types of objects. The following web requests creates or edits a wiki page. So I had to find a way to recreate that in Azure Pipelines. Open Azure Resource Manager. Documentation of the cmdlets can be found in the docs README or using Get-Help VSTeam once the module is installed. To get the current values, use: To set the daily cap reset time, you can use ARMClient.

The VSTeam module is also a provider allowing users to navigate their Azure DevOps Server and Azure DevOps as a file system. To make it easier to work with Azure DevOps in Powershell, PSDevOps includes several custom formatters. Quickstart: Create a Windows virtual machine in Azure with PowerShell. We are using Tests subfolder for keeping all our tests files. Azure Pipelines provides unlimited CI/CD minutes and 10 parallel jobs to every open source project for free.Azure Pipelines also gives 1800 free minutes for private repositories or you can run unlimited minutes of CI/CD on your own hardware, hosted in the cloud or your on-premises hardware. This creates a multistage pipeline that does PowerShell static analysis, tests the current module (crosssplatform),

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