Packer builder arm image
Learn the Learn how Packer fits into the. Packer can create Azure virtual machine images through variety of ways depending on the strategy that you want to use for building the images. Packer supports the following builders for Azure images at the moment:. If in doubt, use this builder; it is the easiest builder to get started with. Provisioning leverages Chroot environment.
After provisioning, the disk is detached an image is created from this disk. This is an advanced builder and should not be used by newcomers. However, it is also the fastest way to build a VM image in Azure.
Don't know which builder to use? If in doubt, use the azure-arm builder. It is much easier to use. The Packer Azure builders provide a couple of ways to authenticate to Azure. The following methods are available and are explained below:.
Don't know which authentication method to use? Go with interactive login to try out the builders. If you need packer to run automatically, switch to using a Service Principal or Managed Identity. No matter which method you choose, the identity you use will need the appropriate permissions on Azure resources for Packer to operate.
The minimal set of permissions is highly dependent on the builder and its configuration. An easy way to get started is to assign the identity the Contributor role at the subscription level. If your organization allows it, you can use a command line interactive login method based on oAuth 'device code flow'. When you run Packer, it will ask you to visit a web site and input a code. This web site will then authenticate you, satisfying any two-factor authentication policies that your organization might have.
The tokens are cached under the. Azure provides the option to assign an identity to a virtual machine Azure documentation. This is the default behavior and requires no configuration properties to be set. It does, however, require that you run Packer on an Azure VM. To enable this method, let Azure assign a system-assigned identity to your VM.By using this tool and some PowerShell DSC scripts, we have been able to automate the process of spinning up a VM in Azure, installing the required software and configuration, running Sysprep and capturing an image.
So far we have done this by running our Packer script manually from the command line. If we are to move this process into production, we are going to need a way to regularly run this process in a consistent manner whenever we want to update the image to apply updates, install new software etc.
We also need a way that other users can easily trigger this process without having to learn packer. We are going to use Azure DevOps to create a build that will allow people to create a new image with a few clicks. For the rest of this article, I am going to assume you are already familiar with the process to write a Packer file and have been able to build an image manually.
If you have not done this yet I recommend you read my two previous articles on how to create an image with packer:. If you don't, you can get one for free here. You should also go ahead and create a project that your code and build will sit in, either a new one or add to an existing project.
The first thing we need to do is get our Packer, DSC and any associated files into a place where Azure DevOps can access them, the best way to do this is to put them into version control. I'm going to use Github to store my files, so they are publicly accessible, but you can use private Repos or use Azure DevOps repository to store the data. You can find my demo files here. Coming up, we're going to use an Azure DevOps task to build the image with Packer, and this task includes a part which supplies a version of the Packer executable.
Unfortunately, the version of this executable can be pretty old, so we are going to supply our own Packer executable, which we can update as required. To do this, the first step is to add a copy of Packer to our Git repo alongside our code. We need to provide a copy of the DSC provisioner alongside our code; else the build will not be able to find it.
However, there is a bug with DSC provisioner which can cause us some issues. If you're running a custom build agent, then you can go ahead and create that directory and use the current release of the provisioner available here you want the Windows x64 version. If you're using a hosted build agent, however which is going to be easierthen you can't create this folder. Instead, I have updated the provisioner to remove this hard coding and allow it to run, you will need to download my version of the provisioner hereor if you would prefer to build it yourself, you can download the source here.
I have submitted a pull request to get this back into the main project. Wherever you get it from, download the packer-provisioner-dsc. Your folder should now look like this:.
We need to create a build where we will run our scripts.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.
If nothing happens, download the GitHub extension for Visual Studio and try again. This plugin lets you take an existing ARM image, and modify it on your x86 machine. It is optimized for raspberry pi use case - MBR partition table, with the file system partition being the last partition. Tested for Raspbian images on built on Ubuntu The plugin runs the provisioners in a chroot environment. Other commands that are used are that should already be installed : mount, umount, cp, ls, chroot.
Note: resizing is only supported for the last active partition in an MBR partition table as there is no need to move things. This provisioner allows you to run packer provisioners on your ARM image locally. To use, you need to provide an existing image that we will then modify. Supporting also zipped images enabling you downloading official raspbian images directly. As this tool performs low-level OS manipulations - consider using a VM to run this code for isolation.
While this is highly recommended, it is not mandatory. This project uses go modules for dependencies introduced in Go 1.
To build:. This project includes a Vagrant file and helper script that build a VM run time environment. The run time environment has custom provisions to build an image in an iterative fashion thanks to tommie-lie for adding this feature.
Alternativly, you can use the docker. This example locks down the image to only use your current ssh key. Disabling password login makes it extra secure for networked environments.
Note: this example requires you to run the plugin without a VM, as it copies your local ssh key. Build like so:. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Sign up. Packer plugin for ARM images. Go Shell Dockerfile. Go Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit.Images can include pre-installed applications and configurations. The Azure Marketplace provides many first and third-party images for most common distributions and application environments, or you can create your own custom images tailored to your needs.
This article details how to use the open source tool Packer to define and build custom images in Azure. Azure now has a service, Azure Image Builder previewfor defining and creating your own custom images.
Azure Image Builder is built on Packer, so you can even use your existing Packer shell provisioner scripts with it. During the build process, Packer creates temporary Azure resources as it builds the source VM. To capture that source VM for use as an image, you must define a resource group. The output from the Packer build process is stored in this resource group.
Create a resource group with az group create. The following example creates a resource group named myResourceGroup in the eastus location:. Packer authenticates with Azure using a service principal. An Azure service principal is a security identity that you can use with apps, services, and automation tools like Packer. You control and define the permissions as to what operations the service principal can perform in Azure. Create a service principal with az ad sp create-for-rbac and output the credentials that Packer needs:.
How to use Packer to create Windows virtual machine images in Azure
To authenticate to Azure, you also need to obtain your Azure subscription ID with az account show :. To build images, you create a template as a JSON file. In the template, you define builders and provisioners that carry out the actual build process. Packer has a provisioner for Azure that allows you to define Azure resources, such as the service principal credentials created in the preceding step. Create a file named ubuntu. Enter your own values for the following:.
If you don't already have Packer installed on your local machine, follow the Packer installation instructions. It takes a few minutes for Packer to build the VM, run the provisioners, and clean up the deployment. You can now create a VM from your Image with az vm create.
Specify the Image you created with the --image parameter. If you wish to create VMs in a different resource group or region than your Packer image, specify the image ID rather than image name.
You can obtain the image ID with az image show. It takes a few minutes to create the VM. To allow web traffic to reach your VM, open port 80 from the Internet with az vm open-port :. Provide your own public IP address from the VM create process. You can also use existing Packer provisioner scripts with Azure Image Builder. You may also leave feedback directly on GitHub. Skip to main content. Exit focus mode. Learn at your own pace. See training modules.
Dismiss alert. Note Azure now has a service, Azure Image Builder previewfor defining and creating your own custom images. Is this page helpful? Yes No. Any additional feedback?Today we are test driving packer-builder-armthis tool enables you to build a Raspberry Pi image with Packer in addition to other ARM platforms. Packer-builder-arm is a plugin for Packer. Packer is tool from Hashicorp for automating OS image builds.Build an Ubuntu VM on Azure using an ARM Template
Additionally packer-builder-arm enables you to build these image on your local machine, cloud server or other x86 hardware. To do this it leverages arm emulation available in QEMU. Specifically it copies a statically built QEMU arm emulator into the image which allows us to run files compiled for ARM inside the chroot on an X86 system. Why build your Raspberry Pi image with Packer? Projects with embedded devices such as a Raspberry Pi often need tweaks to the OS installation.
For example you might change config files or install some packages. Manually running these commands for one device is no big deal. However repeating this process is time consuming and error prone. It does not scale well to many devices. A common solution is to customize your OS install and then clone the SD card or storage device. This works well enough. However each time you want to tweak your configuration you still need to manually re-run the process. Iteration is manual. This is where Packer comes in.
Packer enables you to codify your OS configuration and customization. Packer builds your image for you applying your customization. You can store your Packer files in git and now you have a repeatable process. If you need to add a new package, just add it to your packer build files and re-run packer. You have a new image.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.
Since the setup varies a lot for different hardware types, the example configuration is available per "board". Currently the following boards are supported feel free to add more :.
Building Packer Images with Azure DevOps
This method is primarily for macOS users where is no native way to use qemu-user-static or Linux users, who do not want to setup packer and all the tools. Raw images format. The plugin doesn't try to detect the image partitions because that varies a lot. This plugin doesn't resize partitions on the base image. However, you can easily expand partition size at the boot time with a systemd service.
Here you can find real-life example, where a raspberry pi root-fs partition expands to all available space on sdcard. To dump image on device you can use custom postprocessor really wrapper around dd with some sanity checks :. While image. This is how you can generate rootfs archive instead of image:. Skip to content.
# ARM images with Packer
Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up.
Packer plugin to build ARM images. Go Dockerfile Shell. Go Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Latest commit 83daec4 Apr 12, Image config The base image description size, partitions, mountpoints etc.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Update archlinuxarm-odroid-xu4. Apr 3, Learn the Learn how Packer fits into the. Learn how to authorize access to ARM.
The documentation below references command output from the Azure CLI. There are many configuration options available for the builder. We'll start with authentication parameters, then go over the Azure ARM builder specific options.
In addition to the options listed here, a communicator can be configured for this builder. Config allows for various ways to authenticate Azure clients. If none of these options are specified, Packer will attempt to use the Managed Identity and subscription of the VM that Packer is running on. This will only work if Packer is running on an Azure VM.
If you're running packer on an Azure VM with a managed identity you don't need to specify any additional configuration options. Packer will use cached credentials or redirect you to a website to log in. See Azure Active Directory docs for more information.
The Azure builder can create either a VHD, or a managed image. Likewise, if you want to create a managed image you must start with a managed image. See documentation for details. See documentation to learn more about managed images. Essentially the "directory" where your VHD will be organized in Azure.
The image name must not exist ahead of time, and will not be overwritten.
The resource group must already exist. Shared Image Gallery only works with Managed Images. The Azure builder can either provision resources into a new resource group that it controls default or an existing one. The advantage of using a packer defined resource group is that failed resource cleanup is easier because you can simply remove the entire resource group, however this means that the provided credentials must have permission to create and remove resource groups.
By using an existing resource group you can scope the provided credentials to just this group, however failed builds are more likely to leave unused artifacts.
VHD targets are incompatible with this build type - the target must be a Managed Image. If your Packer build is failing on the Publishing to Shared Image Gallery step with the error Original Error: context deadline exceededbut the image is present when you check your Azure dashboard, then you probably need to increase this timeout from its default of "60m" valid time units include s for seconds, m for minutes, and h for hours. This property can be used for decommissioning purposes.
This property would take effect for a region when regionalReplicaCount is not specified. Replica count must be between 1 and Defaults to latest. There may be a difference in versions available across regions due to image synchronization latency. To ensure a consistent version across regions set this value to one that is available in all regions where you are deploying. See pricing information. You need to create it in a region that supports availability zones.
Tag names cannot exceed characters, and tag values cannot exceed characters. Tags are applied to every resource deployed by a Packer build, i. If this value is not set, a random value will be assigned. Knowing the resource group and VM name allows one to execute commands to update the VM during a Packer build, e.
This resource group is deleted at the end of the build. Valid values are standard or premium.