Overview

There are several options available for deploying Connectors in Azure depending on your particular environment and needs. In most cases, you can use the Connector deployment page in the Admin Console to configure and deploy your Connector.

Azure Virtual Machine Deployment

If you are deploying a custom virtual machine, you can follow the general Linux Connector deployment instructions for full details.

In summary:

• Docker-based deployment is compatible with any 64-bit Linux distribution that Docker supports.
• The Connector systemd service is currently supported on Ubuntu, Fedora, Debian, and CentOS.

Azure Container Instance Deployment

We recommend using Azure’s Container Instance service to deploy Connectors. The Admin Console Connector provisioning workflow includes an Azure CLI deployment command that makes Connectors very easy to deploy.

Prerequisites

You will need the following information in order to deploy a Connector as a Container Instance on Azure:

• Resource group name The Resource group that the Connector Container Instance will be deployed within
• Virtual network name The name of the Virtual network within the Resource group
• Subnet name The name of the subnet within the Virtual network
• DNS server(s) (optional) By default, the Container instance will use the default configured name resolution within your Virtual network. However please note that if you are using custom DNS servers for your VNet then these will not be recognized by the Container Instance service automatically. In this situation we recommend using the “Custom DNS” option when deploying your Connector and specifying your DNS servers manually
• Docker Hub account (optional, highly recommended) Due to Docker Hub rate limiting, deploying the Connector via an Azure Container Instance may lead to a RegistryErrorResponse error. Using a Docker Hub account will bypass this rate limit. See below for instructions on specifying your Docker Hub account when running the deployment command.

If this is the first time that you have deployed a Container Instance in your Azure environment, you may also need to register the service in Azure. You can do this with the following command:

az provider register --namespace Microsoft.ContainerInstance

Twingate Connector Azure Container Instance Deployment

• Log in to your Twingate Admin Console, click on Remote Networks then on the Remote Network on which you want to deploy a Connector. From there, scroll down and click on the Add Connector button on the left-hand side of the screen
• Click on the new Connector that was created. On the deployment page click the Azure option at the top of the screen

  

• Scroll down to step 2 and click the button to generate tokens. It will have you re-authenticate and then bring you back to this page

  

• Scroll down to step 3 and fill out the required information about your Azure environment, as well as enable and configure the optional features

  

• Scroll down to step 4 and copy the completed command and run it in the Azure Cloud CLI

  

Docker Hub rate limiting

Docker Hub rate limiting can lead to the Azure Container Service throwing a RegistryErrorResponse error. When deploying a Connector using Azure Container Instances, we recommend using using a Docker Hub account to bypass the default rate limits. To use your Docker Hub account, add the following parameters to the deployment command:

--registry-username "Docker Hub username" --registry-password "Docker Hub password" --registry-login-server index.docker.io

As an altnerative to using a password, you may pass in a personal access token. If you sign into Docker Hub using SSO, e.g. Google or Github, you must pass in a PAT instead of a password.

Azure Kubernetes Service (AKS) Deployment

Connectors can also be deployed on an AKS cluster using the official Twingate Helm chart. If you intend use Twingate for K8s, you may also want to look at our Kubernetes Best Practices Guide.

Infrastructure as Code Deployment

Deployment automation is available using Terraform, Pulumi, or the Twingate API.

Updating the Connector

Updating Connectors running as a systemd service in a custom Azure VM can be done manually by using the Linux package manager, or automatically by setting up a scheduled task to check for updates. We recommend staggering updates across multiple Connectors to avoid downtime. For more details check our Systemd Connector Update Guide.

Connectors that are running in an Azure container can be upgraded through the Azure CLI. For more details check our Azure Connector Update Guide.