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Pipeliners Mac OS

June 01 2021

Pipeliners Mac OS

  1. PIPELINERSCLOUD Official Store- Fast Shipping
  2. Where Is The Pipe Sign? - Apple Community
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PipelinersCloud where Innovation meets Welders Ingenuity #1 Umbrella in the industry & Shipping Daily Cary's Welding Caps Softest lightweight & Shipping Daily Carbon Fiber 'Suga Scoopa' Lightest in the industry Customer Service is our #1 Priority Real Products for Welders. Save the file (don't open it with the Archive Unitility) and follow the install instructions.The above package will only work on Mac OS X versions 10.7 and up.I've tested it on OS 10.10 (on an old MacBook Pro), 10.7 (on a Mini) and 10.9 (on one of those fancy new black cylinder-shaped Mac. When all the steps in the Pipeline have successfully completed, the Pipeline is considered to have successfully executed. Linux, BSD, and Mac OS On Linux, BSD, and Mac OS (Unix-like) systems, the sh step is used to execute a shell command in a Pipeline. Apr 14, 2021 Two major factors motivate the introduction of a new Metal-based rendering pipeline on macOS: Apple deprecated the OpenGL rendering library in macOS 10.14, in September 2018. Java 2D on macOS is completely reliant on OpenGL for its internal rendering pipeline, so a new pipeline implementation is needed. Apple claims that the Metal framework, their replacement for OpenGL, has superior performance.

Apr 26, 2021 If your Mac is using an earlier version of any Mac operating system, you should install the latest Apple software updates, which can include important security updates and updates for the apps that are installed by macOS, such as Safari, Books, Messages, Mail, Music, Calendar, and Photos.

Authoring YAML pipelines on Azure DevOps often tends to be repetitive and cumbersome. That repetition might happen at the tasks level, jobs level or stages level. If we do coding, we do refactoring those repetitive lines. Can we do such refactoring the pipelines? Of course, we can. Throughout this post, I'm going to discuss where the refactoring points are taken.

The YAML pipeline used for this post can be found at this repository.

Build Pipeline without Refactoring

First of all, let's build a typical pipeline without being refactored. It is a simple build stage, which contains a single job that includes one task.

Here's the result after running this pipeline. Nothing is special here.

Let's refactor this pipeline. We use template for refactoring. According to this document, we can do templating at least three places – Steps, Jobs and Stages.

Refactoring Build Pipeline at the Steps Level

Let's say that we're building a node.js based application. A typical build order can be:

  1. Install node.js and npm package
  2. Restore npm packages
  3. Build application
  4. Test application
  5. Generate artifact

In most cases, Step 5 can be extra, but the steps 1-4 are almost identical and repetitive. If so, why not grouping them and making one template? From this perspective, we do refactoring at the Steps level. If we need step 5, then we can add it after running the template.

Now, let's extract the steps from the above pipeline. The original pipeline has the template field under the steps field. Extra parameters field is added to pass values from the parent pipeline to the refactored template.

The refactored template declares both parameters and steps. As mentioned above, the parameters attribute gets values passed from the parent pipeline.

After refactoring the original pipeline, let's run it. Can you see the value passed from the parent pipeline to the steps template?

Now, we're all good at the Steps level refactoring.

Refactoring Build Pipeline at the Jobs Level

This time, let's do the same at the Jobs level. Refactoring at the Steps level lets us group common tasks while doing at the Jobs level deals with a bigger chunk. At the Jobs level refactoring, we're able to handle a build agent. All tasks under the steps are fixed when we call the Jobs level template.

Of course, if we use some advanced template expressions, we can control tasks.

Let's update the original pipeline at the Jobs level.

Then create the template-jobs-build.yaml file that declares the Jobs level template.

Once we run the pipeline, we can figure out what can be parameterised. As we set up the build agent OS to Windows Server 2016, the pipeline shows the log like:

Refactoring Build Pipeline at the Stages Level

This time, let's refactor the pipeline at the Stages level. One stage can have multiple jobs at the same time or one after the other. If there are common tasks at the Jobs level, we can refactor them at the Jobs level, but if there are common jobs, then the stage itself can be refactored. The following parent pipeline calls the stage template with parameters.

The stage template might look like the code below. Can you see the build agent OS and other values passed through parameters?

Let's run the refactored pipeline. Based on the parameter, the build agent has set to Ubuntu 16.04.

Refactoring Build Pipeline with Nested Templates

We've refactored in at three different levels. It seems that we might be able to put them all together. Let's try it. The following pipeline passes Mac OS as the build agent.

The parent pipeline calls the nested pipeline at the Stages level. Inside the nested template, it again calls another template at the Jobs level.

Here's the nested template at the Jobs level. It calls the existing template at the Steps level.

This nested pipeline works perfectly.

The build pipeline has been refactored at different levels. Let's move onto the release pipeline.

Release Pipeline without Refactoring

It's not that different from the build pipeline. It uses the deployment job instead of job. The typical release pipeline without using a template might look like:

Can you find out the Jobs level uses the deployment job? Here's the pipeline run result.

Like the build pipeline, the release pipeline can also refactor at the three levels – Steps, Jobs and Stages. As there's no difference between build and release, I'm going just to show the refactored templates.

Refactoring Release Pipeline at the Steps Level

The easiest and simplest refactoring is happening at the Steps level. Here's the parent pipeline.

And this is the Steps template. There's no structure different from the one at the build pipeline.

This is the pipeline run result.

Refactoring Release Pipeline at the Jobs Level

This is the release pipeline refactoring at the Jobs level.

The refactored template looks like the one below. Each deployment job contains the environment field, which can also be parameterised.

Refactoring Release Pipeline at the Stages Level

As the refactoring process is the same, I'm just showing the result here:

Refactoring Release Pipeline with Nested Templates

Of course, we can compose the release pipeline with nested templates.

So far, we've completed refactoring at the Stages, Jobs and Steps levels by using templates. There must be a situation to use refactoring due to the nature of repetition. Therefore, this template approach should be considered, but it really depends on which level the refactoring template goes in because every circumstance is different. How to install new fonts into adobe premiere pro mac.

However, there's one thing to consider. Try to create templates as simple as possible. It doesn't really matter the depth or level. The template expressions are rich enough to use advanced technics like conditions and iterations. But it doesn't mean we should use this. When to use templates, the first one should be small and simple, then make them better and more complex. The multi-stage pipeline feature is outstanding, although it's still in public preview. It would be even better with these refactoring technics.

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Azure Pipelines

Microsoft-hosted agents are only available with Azure DevOps Services, which is hosted in the cloud. You cannot use Microsoft-hosted agents or the Azure Pipelines agent pool with on-premises TFS or Azure DevOps Server. With these on-premises versions, you must use self-hosted agents.

Important

To view the content available for your platform, make sure that you select the correct version of this article from the version selector which is located above the table of contents. Feature support differs depending on whether you are working from Azure DevOps Services or an on-premises version of Azure DevOps Server, renamed from Team Foundation Server (TFS).
To learn which on-premises version you are using, see What platform/version am I using?

If your pipelines are in Azure Pipelines, then you've got a convenient option to run your jobs using a Microsoft-hosted agent. With Microsoft-hosted agents, maintenance and upgrades are taken care of for you. Each time you run a pipeline, you get a fresh virtual machine. The virtual machine is discarded after one use. Microsoft-hosted agents can run jobs directly on the VM or in a container.

Azure Pipelines provides a pre-defined agent pool named Azure Pipelines with Microsoft-hosted agents.

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For many teams this is the simplest way to run your jobs. You can try it first and see if it works for your build or deployment. If not, you can use a self-hosted agent.

Tip

You can try a Microsoft-hosted agent for no charge.

Software

The Azure Pipelines agent pool offers several virtual machine images to choose from, each including a broad range of tools and software.

ImageClassic Editor Agent SpecificationYAML VM Image LabelIncluded Software
Windows Server 2019 with Visual Studio 2019windows-2019windows-latest OR windows-2019Link
Windows Server 2016 with Visual Studio 2017vs2017-win2016vs2017-win2016Link
Ubuntu 20.04ubuntu-20.04ubuntu-latest OR ubuntu-20.04Link
Ubuntu 18.04ubuntu-18.04ubuntu-18.04Link
Ubuntu 16.04ubuntu-16.04ubuntu-16.04Link
macOS X Mojave 10.14macOS-10.14macOS-10.14Link
macOS X Catalina 10.15macOS-10.15macOS-latest OR macOS-10.15Link

You can see the installed software for each hosted agent by choosing the Included Software link in the table. When using macOS images, you can manually select from tool versions. See below.

Note

In March 2020, we removed the following Azure Pipelines hosted images:

Prerequisites
  • Windows Server 2012R2 with Visual Studio 2015 (vs2015-win2012r2)
  • macOS X High Sierra 10.13 (macOS-10.13)
  • Windows Server Core 1803 - (win1803)

Customers are encouraged to migrate to vs2017-win2016, macOS-10.14, or a self-hosted agent respectively.

For more information and instructions on how to update your pipelines that use those images, see Removing older images in Azure Pipelines hosted pools.

Note

The Azure Pipelines hosted pool replaces the previous hosted pools that had names that mapped to the corresponding images. Any jobs you had in the previous hosted pools are automatically redirected to the correct image in the new Azure Pipelines hosted pool. In some circumstances, you may still see the old pool names, but behind the scenes the hosted jobs are run using the Azure Pipelines pool. For more information about this update, see the Single hosted pool release notes from the July 1 2019 - Sprint 154 release notes.

Important

To request additional software to be installed on Microsoft-hosted agents, don't create a feedback request on this document or open a support ticket. Instead, open an issue on our repository, where we manage the scripts to generate various images.

Use a Microsoft-hosted agent

In YAML pipelines, if you do not specify a pool, pipelines will default to the Azure Pipelines agent pool. You simply need to specify which virtual machine image you want to use.

Note

The specification of a pool can be done at multiple levels in a YAML file.If you notice that your pipeline is not running on the expected image, make sure that you verify the pool specification at the pipeline, stage, and job levels.

In classic build pipelines, you first choose the Azure Pipelines pool and then specify the image to use.

Note

The specification of a pool can be done at multiple levels in a classic build pipeline - for the whole pipeline, or for each job. If you notice that your pipeline is not running on the expected image, make sure that you verify the pool specification at all levels.

Avoid hard-coded references

When you use a Microsoft-hosted agent, always use variablesto refer to the build environment and agent resources. For example, don'thard-code the drive letter or folder that contains the repository. The preciselayout of the hosted agents is subject to change without warning.

Hardware

Microsoft-hosted agents that run Windows and Linux images are provisioned on Azure general purpose virtual machines Standard_DS2_v2. Poker machine strategy. These virtual machines are colocated in the same geography as your Azure DevOps organization.

Agents that run macOS images are provisioned on Mac pros. These agents always run in the US irrespective of the location of your Azure DevOps organization. If data sovereignty is important to you and if your organization is not in the US, then you should not use macOS images. Learn more.

All of these machines have 10 GB of free disk space available for your pipelines to run. This free space is consumed when your pipeline checks out source code, downloads packages, pulls docker images, or generates intermediate files.

Important

We cannot honor requests to increase disk space on Microsoft-hosted agents, or to provision more powerful machines. If the specifications of Microsoft-hosted agents do not meet your needs, then you should consider self-hosted agents or scale set agents.

Networking

In some setups, you may need to know the range of IP addresses where agents are deployed. For instance, if you need to grant the hosted agents access through a firewall, you may wish to restrict that access by IP address. Because Azure DevOps uses the Azure global network, IP ranges vary over time. We publish a weekly JSON file listing IP ranges for Azure datacenters, broken out by region. This file is updated weekly with new planned IP ranges. The new IP ranges become effective the following week. We recommend that you check back frequently (at least once every week) to ensure you keep an up-to-date list. If agent jobs begin to fail, a key first troubleshooting step is to make sure your configuration matches the latest list of IP addresses. The IP address ranges for the hosted agents are listed in the weekly file under AzureCloud.<region>, such as AzureCloud.westus for the West US region.

Your hosted agents run in the same Azure geography as your organization. Each geography contains one or more regions. While your agent may run in the same region as your organization, it is not guaranteed to do so. To obtain the complete list of possible IP ranges for your agent, you must use the IP ranges from all of the regions that are contained in your geography. For example, if your organization is located in the United States geography, you must use the IP ranges for all of the regions in that geography.

To determine your geography, navigate to https://dev.azure.com/<your_organization>/_settings/organizationOverview, get your region, and find the associated geography from the Azure geography table. Once you have identified your geography, use the IP ranges from the weekly file for all regions in that geography.

Important

You cannot use private connections such as ExpressRoute or VPN to connect Microsoft-hosted agents to your corporate network. The traffic between Microsoft-hosted agents and your servers will be over public network.

To identify the possible IP ranges for Microsoft-hosted agents

  1. Identify the region for your organization in Organization settings.
  2. Identify the Azure Geography for your organization's region.
  3. Map the names of the regions in your geography to the format used in the weekly file, following the format of AzureCloud.<region>, such as AzureCloud.westus. You can map the names of the regions from the Azure Geography list to the format used in the weekly file by reviewing the region names passed to the constructor of the regions defined in the source code for the Region class, from the Azure Management Libraries for .NET.

    Note

    Since there is no API in the Azure Management Libraries for .NET to list the regions for a geography, you must list them manually as shown in the following example.

  4. Retrieve the IP addresses for all regions in your geography from the weekly file. If your region is Brazil South or West Europe, you must include additional IP ranges based on your fallback geography, as described in the following note.

Note

Due to capacity restrictions, some organizations in the Brazil South or West Europe regions may occasionally see their hosted agents located outside their expected geography. In these cases, in addition to including the IP ranges as described in the previous section, additional IP ranges must be included for the regions in the capacity fallback geography.

If your organization is in the Brazil South region, your capacity fallback geography is United States.

If your organization is in the West Europe region, the capacity fallback geography is France.

Our Mac IP ranges are not included in the Azure IPs above, though we are investigating options to publish these in the future.

Example

In the following example, the hosted agent IP address ranges for an organization in the West US region are retrieved from the weekly file. Since the West US region is in the United States geography, the IP addresses for all regions in the United States geography are included. In this example, the IP addresses are written to the console.

Service tags

Microsoft-hosted agents can't be listed by service tags. If you're trying to grant hosted agents access to your resources, you'll need to follow the IP range allow listing method.

Security

Microsoft-hosted agents run on secure Azure platform. However, you must be aware of the following security considerations.

  • Although Microsoft-hosted agents run on Azure public network, they are not assigned public IP addresses. So, external entities cannot target Microsoft-hosted agents.
  • Microsoft-hosted agents are run in individual VMs, which are re-imaged after each run. Each agent is dedicated to a single organization, and each VM hosts only a single agent.
  • There are several benefits to running your pipeline on Microsoft-hosted agents, from a security perspective. If you run untrusted code in your pipeline, such as contributions from forks, it is safer to run the pipeline on Microsoft-hosted agents than on self-hosted agents that reside in your corporate network.
  • When a pipeline needs to access your corporate resources behind a firewall, you have to allow the IP address range for the Azure geography. This may increase your exposure as the range of IP addresses is rather large and since machines in this range can belong to other customers as well. The best way to prevent this is to avoid the need to access internal resources.
  • Hosted images do not conform to CIS hardening benchmarks. To use CIS-hardened images, you must create either self-hosted agents or scale-set agents.

Capabilities and limitations

Microsoft-hosted agents:

  • Have the above software. You can also add software during your build or release using tool installer tasks.
  • Provide 10 GB of storage for your source and build outputs.
  • Provide a free tier:
    • Public project: 10 free Microsoft-hosted parallel jobs that can run for up to 360 minutes (6 hours) each time, with no overall time limit per month. Contact us to get your free tier limits increased.
    • Private project: One free parallel job that can run for up to 60 minutes each time, until you've used 1,800 minutes (30 hours) per month. You can pay for additional capacity per parallel job. Paid parallel jobs remove the monthly time limit and allow you to run each job for up to 360 minutes (6 hours). Buy Microsoft-hosted parallel jobs.
  • Run on Microsoft Azure general purpose virtual machines Standard_DS2_v2
  • Run as an administrator on Windows and a passwordless sudo user on Linux
  • (Linux only) Run steps in a cgroup that offers 6 GB of physical memory and 13 GB of total memory

Microsoft-hosted agents do not offer:

  • The ability to remotely connect.
  • The ability to drop artifacts to a UNC file share.
  • The ability to join machines directly to your corporate network.
  • The ability to get bigger or more powerful build machines.
  • The ability to pre-load custom software. You can install software during a pipeline run, such as through tool installer tasks or in a script.
  • Potential performance advantages that you might get by using self-hosted agents that might start and run builds faster. Learn more
  • The ability to run XAML builds.

If Microsoft-hosted agents don't meet your needs, then you can deploy your own self-hosted agents or use scale set agents.

FAQ

How can I see what software is included in an image?

You can see the installed software for each hosted agent by choosing the Included Software link in the Use a Microsoft-hosted agent table.

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How does Microsoft choose the software and versions to put on the image?

More information about the versions of software included on the images can be found at Guidelines for what's installed.

When are the images updated?

Images are typically updated weekly. You can check the status badges which are in the format 20200113.x where the first part indicates the date the image was updated.

What can I do if software I need is removed or replaced with a newer version?

You can let us know by filing a GitHub issue by choosing the Included Software links in the Use a Microsoft-hosted agent table.

You can also use a self-hosted agent that includes the exact versions of software that you need. For more information, see Self-hosted agents.

What if I need a bigger machine with more processing power, memory, or disk space?

We can't increase the memory, processing power, or disk space for Microsoft-hosted agents, but you can use self-hosted agents or scale set agents hosted on machines with your desired specifications.

I can't select a Microsoft-hosted agent and I can't queue my build or deployment. What should I do?

Microsoft-hosted agents are only available in Azure Pipelines and not in TFS or Azure DevOps Server.

By default, all project contributors in an organization have access to the Microsoft-hosted agents. But, your organization administrator may limit the access of Microsoft-hosted agents to select users or projects. Ask the owner of your Azure DevOps organization to grant you permission to use a Microsoft-hosted agent. See agent pool security.

My pipelines running on Microsoft-hosted agents take more time to complete. How can I speed them up?

If your pipeline has recently become slower, review our status page for any outages. We could be having issues with our service. Or else, review any changes that you made in your application code or pipeline. Your repository size during check-out might have increased, you may be uploading larger artifacts, or you may be running more tests.

If you are just setting up a pipeline and are comparing the performance of Microsoft-hosted agents to your local machine or a self-hosted agent, then note the specifications of the hardware that we use to run your jobs. We are unable to provide you with bigger or powerful machines. You can consider using self-hosted agents or scale set agents if this performance is not acceptable.

I need more agents. What can I do?

All Azure DevOps organizations are provided with several free parallel jobs for open-source projects, and one free parallel job and limited minutes each month for private projects. If you need additional minutes or parallel jobs for your open-source project, contact support. If you need additional minutes or parallel jobs for your private project, then you can buy more.

My pipeline succeeds on self-hosted agent, but fails on Microsoft-hosted agents. What should I do?

Your self-hosted agent probably has all the right dependencies installed on it, whereas the same dependencies, tools, and software are not installed on Microsoft-hosted agents. First, carefully review the list of software that is installed on Microsoft-hosted agents by following the link to Included software in the table above. Then, compare that with the software installed on your self-hosted agent. In some cases, Microsoft-hosted agents may have the tools that you need (for example, Visual Studio), but all of the necessary optional components may not have been installed. If you find differences, then you have two options:

  • You can create a new issue on the repository, where we track requests for additional software. Contacting support will not help you with setting up new software on Microsoft-hosted agents.

  • You can use self-hosted agents or scale set agents. With these agents, you are fully in control of the images that are used to run your pipelines.

My build succeeds on my local machine, but fails on Microsoft-hosted agents. What should I do?

Your local machine probably has all the right dependencies installed on it, whereas the same dependencies, tools, and software are not installed on Microsoft-hosted agents. First, carefully review the list of software that is installed on Microsoft-hosted agents by following the link to Included software in the table above. Then, compare that with the software installed on your local machine. In some cases, Microsoft-hosted agents may have the tools that you need (e.g., Visual Studio), but all of the necessary optional components may not have been installed. If you find differences, then you have two options:

  • You can create a new issue on the repository, where we track requests for additional software. This is your best bet for getting new software installed. Contacting support will not help you with setting up new software on Microsoft-hosted agents.

  • You can use self-hosted agents or scale set agents. With these agents, you are fully in control of the images that are used to run your pipelines.

My pipeline fails with the error: 'no space left on device'.

Microsoft-hosted agents only have 10 GB of disk space available for running your job. This space is consumed when you check out source code, when you download packages, when you download docker images, or when you produce intermediate files. Unfortunately, we cannot increase the free space available on Microsoft-hosted images. You can restructure your pipeline so that it can fit into this space. Or, you can consider using self-hosted agents or scale set agents.

My pipeline running on Microsoft-hosted agents requires access to servers on our corporate network? How do we get a list of IP addresses to allow in our firewall?

See the section Agent IP ranges

Our pipeline running on Microsoft-hosted agents is unable to resolve the name of a server on our corporate network. How can we fix this?

If you refer to the server by its DNS name, then make sure that your server is publicly accessible on the Internet through its DNS name. If you refer to your server by its IP address, make sure that the IP address is publicly accessible on the Internet. In both cases, ensure that any firewall in between the agents and your corporate network has the agent IP ranges allowed.

I'm getting an SAS IP authorization error from an Azure Storage account

If you get an SAS error code, it is most likely because the IP address ranges from the Microsoft-hosted agents aren't permitted due to your Azure Storage rules. There are a few workarounds:

  1. Manage the IP network rules for your Azure Storage account and add the IP address ranges for your hosted agents.
  2. In your pipeline, use Azure CLI to update the network ruleset for your Azure Storage account right before you access storage, and then restore the previous ruleset.
  3. Use self-hosted agents or Scale set agents.

How can I manually select versions of tools on the Hosted macOS agent?

Xamarin

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Hosted macOS agent stores Xamarin SDK versions and the associated Mono versions as a set of symlinks to Xamarin SDK locations that are available by a single bundle symlink.

To manually select a Xamarin SDK version to use on the Hosted macOS agent, execute the following bash command before your Xamarin build task as a part of your build, specifying the symlink to Xamarin versions bundle that you need.

/bin/bash -c 'sudo $AGENT_HOMEDIRECTORY/scripts/select-xamarin-sdk.sh <symlink>'

The list of all available Xamarin SDK versions and symlinks can be found in the agents documentation:

This command does not select the Mono version beyond the Xamarin SDK. To manually select a Mono version, see instructions below.

In case you are using a non-default version of Xcode for building your Xamarin.iOS or Xamarin.Mac apps, you should additionally execute this command line:

/bin/bash -c 'echo '##vso[task.setvariable variable=MD_APPLE_SDK_ROOT;]'$(xcodeRoot);sudo xcode-select --switch $(xcodeRoot)/Contents/Developer'

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where $(xcodeRoot) = /Applications/Xcode_12.4.app

Xcode versions on the Hosted macOS agent pool can be found here.

Xcode

If you use the Xcode task included with Azure Pipelines and TFS, you can select a version of Xcode in that task's properties. Otherwise, to manually set the Xcode version to use on the Hosted macOS agent pool, before your xcodebuild build task, execute this command line as part of your build, replacing the Xcode version number 12.4 as needed:

/bin/bash -c 'sudo xcode-select -s /Applications/Xcode_12.4.app/Contents/Developer'

Xcode versions on the Hosted macOS agent pool can be found here.

This command does not work for Xamarin apps. To manually select an Xcode version for building Xamarin apps, see instructions above.

Mono

To manually select a Mono version to use on the Hosted macOS agent pool, execute this script in each job of your build before your Mono build task, specifying the symlink with the required Mono version (list of all available symlinks can be found in the Xamarin section above):

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