headscale/docs/running-headscale-container.md
Kristoffer Dalby b60ee9db54
improve errors for missing directories (#1765)
* improve errors for missing directories

Fixes #1761
Updates #1760

Signed-off-by: Kristoffer Dalby <kristoffer@tailscale.com>

* update container docs

Signed-off-by: Kristoffer Dalby <kristoffer@tailscale.com>

* update changelog with /var changes

Signed-off-by: Kristoffer Dalby <kristoffer@tailscale.com>

---------

Signed-off-by: Kristoffer Dalby <kristoffer@tailscale.com>
2024-02-17 13:36:19 +01:00

179 lines
5.6 KiB
Markdown

# Running headscale in a container
!!! 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**It might be outdated and it might miss necessary steps**.
## Goal
This documentation has the goal of showing a user how-to set up and run `headscale` in a container.
[Docker](https://www.docker.com) is used as the reference container implementation, but there is no reason that it should
not work with alternatives like [Podman](https://podman.io). The Docker image can be found on Docker Hub [here](https://hub.docker.com/r/headscale/headscale).
## Configure and run `headscale`
1. Prepare a directory on the host Docker node in your directory of choice, used to hold `headscale` configuration and the [SQLite](https://www.sqlite.org/) database:
```shell
mkdir -p ./headscale/config
cd ./headscale
```
2. Create an empty SQlite datebase in the headscale directory:
```shell
touch ./config/db.sqlite
```
3. **(Strongly Recommended)** Download a copy of the [example configuration](https://github.com/juanfont/headscale/blob/main/config-example.yaml) from the headscale repository.
Using wget:
```shell
wget -O ./config/config.yaml https://raw.githubusercontent.com/juanfont/headscale/main/config-example.yaml
```
Using curl:
```shell
curl https://raw.githubusercontent.com/juanfont/headscale/main/config-example.yaml -o ./config/config.yaml
```
**(Advanced)** If you would like to hand craft a config file **instead** of downloading the example config file, create a blank `headscale` configuration in the headscale directory to edit:
```shell
touch ./config/config.yaml
```
Modify the config file to your preferences before launching Docker container.
Here are some settings that you likely want:
```yaml
# Change to your hostname or host IP
server_url: http://your-host-name:8080
# Listen to 0.0.0.0 so it's accessible outside the container
metrics_listen_addr: 0.0.0.0:9090
# The default /var/lib/headscale path is not writable in the container
noise:
private_key_path: /etc/headscale/noise_private.key
# The default /var/lib/headscale path is not writable in the container
derp:
private_key_path: /etc/headscale/private.key
# The default /var/run/headscale path is not writable in the container
unix_socket: /etc/headscale/headscale.sock
# The default /var/lib/headscale path is not writable in the container
database.type: sqlite3
database.sqlite.path: /etc/headscale/db.sqlite
```
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.
4. Start the headscale server while working in the host headscale directory:
```shell
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> \
headscale serve
```
Note: use `0.0.0.0:8080:8080` instead of `127.0.0.1:8080:8080` if you want to expose the container externally.
This command will mount `config/` under `/etc/headscale`, forward port 8080 out of the container so the
`headscale` instance becomes available and then detach so headscale runs in the background.
5. Verify `headscale` is running:
Follow the container logs:
```shell
docker logs --follow headscale
```
Verify running containers:
```shell
docker ps
```
Verify `headscale` is available:
```shell
curl http://127.0.0.1:9090/metrics
```
6. Create a user ([tailnet](https://tailscale.com/kb/1136/tailnet/)):
```shell
docker exec headscale \
headscale users create myfirstuser
```
### Register a machine (normal login)
On a client machine, execute the `tailscale` login command:
```shell
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:
```shell
docker exec headscale \
headscale --user myfirstuser nodes register --key <YOU_+MACHINE_KEY>
```
### Register machine using a pre authenticated key
Generate a key using the command line:
```shell
docker exec headscale \
headscale --user myfirstuser preauthkeys create --reusable --expiration 24h
```
This will return a pre-authenticated key that can be used to connect a node to `headscale` during the `tailscale` command:
```shell
tailscale up --login-server <YOUR_HEADSCALE_URL> --authkey <YOUR_AUTH_KEY>
```
## Debugging headscale running in Docker
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`.
### Running the debug Docker container
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.
### Executing commands in the debug container
The default command in the debug container is to run `headscale`, which is located at `/bin/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 /bin` in this example:
```
docker run headscale/headscale:x.x.x-debug ls /bin
```
Using `docker exec` allows you to run commands in an existing container.