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Provides integration of Flamenco Render Farm Manager with Azure Batch
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Flamenco Deploy on Azure

Flamenco Manager + Workers can now be easily deployed on Microsoft Azure.


  • Install Azure CLI and Azure Batch Explorer.
  • Run az login and log in via your browser.
  • Make sure you have an SSH keypair available. The private key should be loaded into the SSH Agent (run ssh-add -L to check) or it should be an unencrypted key available in $HOME/.ssh/id_rsa. The public key is read from $HOME/.ssh/

Deploying Flamenco on Azure

First run the above preparation. The first time you run flamenco-deploy-azure you may be asked the following information:

  • Subscription ID: If you have a single Azure subscription, it's used automatically. If you have multiple, you'll have to choose which one to use.
  • Physical location: You'll get a list of locations to choose from.
  • Resource Group: All the resources (virtual machine, storage and batch accounts, virtual network components, etc.) created during the deployment will be contained in this group.
  • Storage account name: This name must be unique for the location of your choosing.
  • Batch account name: This name must be unique within the resource group.
  • Virtual Machine name (for Flamenco Manager): This name is also used for the domain name assigned to the public IP address of the virtual machine, and as such must be unique for the location of your choosing.

After each prompt, your answer is stored in azure_config.yaml, and will be used in subsequent runs of flamenco-deploy-azure. If you want to change your answer, just delete the corresponding part of azure_config.yaml and re-run flamenco-deploy-azure.

The deployment takes approximately 10 minutes.

After deployment

When deployment is done, Flamenco Manager is ready to be configured. The setup URL is logged at the end of deployment, and will be https://{VM name}.{location}

The Azure Batch pool can be resized using Azure Batch Explorer.

To get the IP address of the virtual machine without re-running the deployment application, use:

az network public-ip list --query [].ipAddress

Blender Cloud Add-on configuration

The Blender Cloud Add-on should be configured to use the following settings:

  • Job Storage: shaman://{VM name}.{location} This is the same URL as the Manager, except replacing https:// with shaman://.
  • Job Output: /mnt/flamenco-output/render

SSH Access

The Flamenco Manager VM can be reached via SSH using ssh flamencoadmin@{VM name}.{location} The account's password is randomised and cannot be retrieved. Access is granted only using your private key.

Get going with this Go code


az login
./flamenco-deploy-azure -help

Publishing a new release

Before creating a release, create a Personal Access Token with API access, then save it to the file .GitHubAccessToken.


git tag v1.1  # replace with the release version
git push --tags
make release

If you get an error "Ref is not specified" from Gitlab, you aren't building exactly the same tag as is available on Gitlab (so either your working directory is in a different Git revision, or you didn't push the tag you're trying to build).

Some more technical details

The Azure Batch API Basics document is a nice place to start reading about Azure Batch. This document is also called "Develop large-scale parallel compute solutions with Batch" and "Developer features".

  • The files are in /mnt/batch/tasks:
    • /mnt/batch/tasks/applications: zipped and unzipped application packages. Note that these are suffixed with a datetime (I'm guessing node startup), so use the environment variables (see below) to refer to them.
    • /mnt/batch/tasks/startup/std{out,err}.txt: stdout and stderr output of the startup task.
    • /mnt/batch/tasks/startup/wd: default work directory of the startup task.
    • /mnt/batch/tasks/shared: this is not shared between VMs, but shared between tasks on that VM.
    • For more info see Files and Directories.
  • /var/lib/waagent contains info from the Azure Agent, like the assigned hostname, configuration settings, TLS certificates, etc.
  • If the pool is configured to run the startup task as NonAdmin, it uses uid=1001(_azbatchtask_start) gid=1000(_azbatchgrp) groups=1000(_azbatchgrp).


This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact with any additional questions or comments.

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