For context, it's helpful to review Understanding Connectors first. With that in mind, we recommend the following:
- Deploy as many Remote Networks and Connectors as you need based on your network architecture. There is no advantage to forcing network traffic to flow through a single or smaller number of Connectors. One advantage of Twingate is that traffic will be automatically routed to a Connector associated with a Resource. Users will also be simultaneously connected to multiple Connectors if accessing Resources across multiple Remote Networks. When deploying Twingate for Resources on multiple network segments, an ideal approach is to define multiple Remote Networks (and deploy associated Connectors) to accommodate each segment.
- For redundancy, always deploy a minimum of two Connectors per Remote Network. Multiple Connectors in the same Twingate logical Remote Network are automatically clustered for load balancing and failover, which means that any Connector can forward traffic to Resources on the same Twingate Remote network. Two Connectors per Network should be sufficient for most use cases, but adding additional Connectors may helpful if you anticipate a large number of simultaneous connections and/or high bandwidth use cases.
- Each Connector must be provisioned with a unique pair of tokens. Each Connector you deploy must have its own unique pair of tokens. Tokens are generated when you provision a Connector in the admin console, so you should provision one Connector application per Connector deployed in the Twingate Admin Console. Attempting to re-use tokens for multiple Connectors will result in a connection failure for the Connector.
- Connectors on the same Twingate Remote network should have the same network scope and permissions. Because Connectors on the same Twingate Remote network are clustered, they are intended to be, and should be configured to be interchangeable. Network permissions should be the same for every Connector to ensure that Resources are always accessible, regardless of which Connector is in use.
- Connectors should be deployed on the same network as target Resources, if possible. A significant benefit of establishing your Twingate network is that traffic is routed directly from users' devices to the Resource they are accessing. Because Connectors serve as the destination exit point for traffic, it's important that the "last mile" between the Connector and any Resources it serves is as short as possible to provide users with the best performance.
Regardless of your chosen deployment method, the following principles apply:
- Connectors only require outbound Internet access. Inbound Internet access to a Connector host is neither required nor recommended from a security standpoint. If you wish to limit outbound ports, you may limit to TCP 443, and the inclusive range of TCP 30000-31000. No UDP ports are required.
- Ensure that Connectors have both permission and routing rules to access private Resources. Resources that you configure in the Admin console will be resolved and routed from the Connector host.
These same principles apply if you are using Connectors as public exit nodes, except that you need to ensure that the Connector host has a static public IP assigned to it, either directly or via a NAT Internet gateway. This is the IP address you'll use to whitelist in the service to be use with the exit node.
In general, the host that the Connector is running on should be optimized for, in decreasing order of importance:
- Network bandwidth
If a Connector host becomes resource-bound, you can deploy additional connectors within the same Remote network. Twingate will automatically load balance across multiple connectors in the same logical Remote Network that you define within Twingate.
Below we have some platform-specific machine recommendations for Connectors.
t3a.micro Linux EC2 instance is a cost-effective choice and sufficient to handle bandwidth for at least a hundred remote users under typical usage patterns.
g1-small machine is sufficient as a starting point for at least a hundred remote users under typical usage patterns.
For Azure, we recommend using their Container Instance service, which does not require hardware selection.
A Linux VM allocated with 1 CPU and 2GB RAM is sufficient to handle at least a hundred remote users under typical usage patterns.
- Any Linux distribution that supports deployment via systemd, Docker or Helm on an x86-based system is acceptable. Connector installation on ARM-based systems is not currently supported.
If you deploy multiple Connectors within the same logical Remote Network, Twingate will detect this and you will automatically benefit from Connector load balancing and failover redundancy.
When there is more than one Connector in a Remote Network, Twingate takes advantage of the redundancy and will automatically distribute clients connecting to Resources on that Remote Network among the various Connectors for load balancing purposes. If a client is unable to connect to a particular Connector (e.g. because the machine on which the Connector is installed goes offline), the client will try connecting to other Connectors in the same Remote Network until a connection is successfully established.
If a Connector is later removed from or added to a Remote Network, Twingate will automatically adjust for that change.
Updated 3 days ago