!!! warning "Community documentation"
This page is not actively maintained by the headscale authors and is
written by community members. It is _not_ verified by `headscale` developers.
**It might be outdated and it might miss necessary steps**.
This documentation has the goal of showing a user how-to set up and run headscale
in a container.
Docker is used as the reference container implementation, but there is no reason that it should
not work with alternatives like Podman. The Docker image can be found on Docker Hub here.
-
Prepare a directory on the host Docker node in your directory of choice, used to hold
headscale
configuration and the SQLite database:mkdir -p ./headscale/config cd ./headscale
-
(Strongly Recommended) Download a copy of the example configuration from the headscale repository.
-
Using
wget
:wget -O ./config/config.yaml https://raw.githubusercontent.com/juanfont/headscale/main/config-example.yaml
-
Using
curl
:curl https://raw.githubusercontent.com/juanfont/headscale/main/config-example.yaml -o ./config/config.yaml
Modify the config file to your preferences before launching Docker container.
Alternatively, you can mount
/var/lib
and/var/run
from your host system by adding--volume $(pwd)/lib:/var/lib/headscale
and--volume $(pwd)/run:/var/run/headscale
in the next step. -
-
Start the headscale server while working in the host headscale directory:
docker run \ --name headscale \ --detach \ --volume $(pwd)/config:/etc/headscale/ \ --publish 127.0.0.1:8080:8080 \ --publish 127.0.0.1:9090:9090 \ headscale/headscale:<VERSION> \ serve
Note: use
0.0.0.0:8080:8080
instead of127.0.0.1:8080:8080
if you want to expose the container externally.This command will mount
config/
under/etc/headscale
, forward port 8080 out of the container so theheadscale
instance becomes available and then detach so headscale runs in the background.Example
docker-compose.yaml
version: "3.7" services: headscale: image: headscale/headscale:<VERSION> restart: unless-stopped container_name: headscale ports: - "127.0.0.1:8080:8080" - "127.0.0.1:9090:9090" volumes: # Please change <CONFIG_PATH> to the fullpath of the config folder just created - <CONFIG_PATH>:/etc/headscale command: serve
-
Verify
headscale
is running: Follow the container logs:docker logs --follow headscale
Verify running containers:
docker ps
Verify
headscale
is available:curl http://127.0.0.1:9090/metrics
-
Create a user (tailnet):
docker exec headscale \ headscale users create myfirstuser
On a client machine, execute the tailscale
login command:
tailscale up --login-server YOUR_HEADSCALE_URL
To register a machine when running headscale
in a container, take the headscale command and pass it to the container:
docker exec headscale \
headscale nodes register --user myfirstuser --key <YOUR_MACHINE_KEY>
Generate a key using the command line:
docker exec headscale \
headscale preauthkeys create --user myfirstuser --reusable --expiration 24h
This will return a pre-authenticated key that can be used to connect a node to headscale
during the tailscale
command:
tailscale up --login-server <YOUR_HEADSCALE_URL> --authkey <YOUR_AUTH_KEY>
The headscale/headscale
Docker container is based on a "distroless" image that does not contain a shell or any other debug tools. If you need to debug your application running in the Docker container, you can use the -debug
variant, for example headscale/headscale:x.x.x-debug
.
To run the debug Docker container, use the exact same commands as above, but replace headscale/headscale:x.x.x
with headscale/headscale:x.x.x-debug
(x.x.x
is the version of headscale). The two containers are compatible with each other, so you can alternate between them.
The default command in the debug container is to run headscale
, which is located at /ko-app/headscale
inside the container.
Additionally, the debug container includes a minimalist Busybox shell.
To launch a shell in the container, use:
docker run -it headscale/headscale:x.x.x-debug sh
You can also execute commands directly, such as ls /ko-app
in this example:
docker run headscale/headscale:x.x.x-debug ls /ko-app
Using docker exec
allows you to run commands in an existing container.