---
stage: Verify
group: Runner
info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://handbook.gitlab.com/handbook/product/ux/technical-writing/#assignments
---

# Troubleshooting GitLab Runner **(FREE ALL)**

This section can assist when troubleshooting GitLab Runner.

NOTE:
A [Critical Security release](https://about.gitlab.com/releases/2022/02/25/critical-security-release-gitlab-14-8-2-released/) will reset runner registration tokens for your group and projects. If you use an automated process (scripts that encode the value of the registration token) to register runners, this update will break that process. However, it should have no affect on previously registered runners.

## General troubleshooting tips

View the logs:

- `tail -100 /var/log/syslog` (Debian)
- `tail -100 /var/log/messages` (RHEL)
- `docker logs gitlab-runner-container` (Docker)
- `kubectl logs gitlab-runner-pod` (Kubernetes)

Restart the service:

- `service gitlab-runner restart`

View the Docker machines:

- `sudo docker-machine ls`
- `sudo su - && docker-machine ls`

Delete all Docker machines:

- `docker-machine rm $(docker-machine ls -q)`

After making changes to your `config.toml`:

- `service gitlab-runner restart`
- `docker-machine rm $(docker-machine ls -q)`
- `tail -f /var/log/syslog` (Debian)
- `tail -f /var/log/messages` (RHEL)

## Confirm your GitLab and GitLab Runner versions

GitLab aims to [guarantee backward compatibility](../index.md#gitlab-runner-versions).
However, as a first troubleshooting step, you should ensure your version
of GitLab Runner is the same as your GitLab version.

## What does `coordinator` mean?

The `coordinator` is the GitLab installation from which a job is requested.

In other words, runner is an isolated agent that request jobs from
the `coordinator` (GitLab installation through GitLab API).

## Where are logs stored when run as a service on Windows?

- If GitLab Runner is running as a service on Windows, it creates system event logs. To view them, open the Event Viewer (from the Run menu, type `eventvwr.msc` or search for "Event Viewer"). Then go to **Windows Logs > Application**. The **Source** for Runner logs is `gitlab-runner`. If you are using Windows Server Core, run this PowerShell command to get the last 20 log entries: `get-eventlog Application -Source gitlab-runner -Newest 20 | format-table -wrap -auto`.

## Enable debug logging mode

WARNING:
Debug logging can be a serious security risk. The output contains the content of
all variables and other secrets available to the job. You should disable any log aggregation
that might transmit secrets to third parties. The use of masked variables allows secrets
to be protected in job log output, but not in container logs.

### In the command line

From a terminal, logged in as root, run:

```shell
gitlab-runner stop
gitlab-runner --debug run
```

### In the GitLab Runner `config.toml`

Debug logging can be enabled in the [global section of the `config.toml`](../configuration/advanced-configuration.md#the-global-section) by setting the `log_level` setting to `debug`. Add the following line at the very top of your `config.toml`, before/after the concurrent line:

```toml
log_level = "debug"
```

### In the Helm Chart

If GitLab Runner was installed in a Kubernetes cluster by using the [GitLab Runner Helm Chart](../install/kubernetes.md), you can enable debug logging by setting the `logLevel` option in the [`values.yaml` customization](../install/kubernetes.md#configuring-gitlab-runner-using-the-helm-chart):

```yaml
## Configure the GitLab Runner logging level. Available values are: debug, info, warn, error, fatal, panic
## ref: https://docs.gitlab.com/runner/configuration/advanced-configuration.html#the-global-section
##
logLevel: debug
```

## Configure DNS for a Docker executor runner

When configuring a GitLab Runner with the Docker executor, it is possible to run into a problem where the Runner daemon on the host can access GitLab but the built container cannot. This can happen when DNS is configured in the host but those configurations are not passed to the container.

**Example:**

GitLab service and GitLab Runner exist in two different networks that are bridged in two ways (for example, over the Internet and through a VPN). If the routing mechanism that the Runner uses to find the GitLab service queries DNS, the container's DNS configuration doesn't know to use the DNS service over the VPN and may default to the one provided over the Internet. This configuration would result in the following message:

```shell
Created fresh repository.
++ echo 'Created fresh repository.'
++ git -c 'http.userAgent=gitlab-runner 16.5.0 linux/amd64' fetch origin +da39a3ee5e6b4b0d3255bfef95601890afd80709:refs/pipelines/435345 +refs/heads/master:refs/remotes/origin/master --depth 50 --prune --quiet
fatal: Authentication failed for 'https://gitlab.example.com/group/example-project.git/'
```

In this case, the authentication failure is caused by a service in between the Internet and the GitLab service. This service uses separate credentials, which the runner could circumvent if they used the DNS service over the VPN.

You can tell Docker which DNS server to use by using the `dns` configuration in the `[runners.docker]` section of [the Runner's `config.toml` file](../configuration/advanced-configuration.md#the-runnersdocker-section).

```toml
dns           = ["192.168.xxx.xxx","192.168.xxx.xxx"]
```

## I'm seeing `x509: certificate signed by unknown authority`

Please see [the self-signed certificates](../configuration/tls-self-signed.md).

## I get `Permission Denied` when accessing the `/var/run/docker.sock`

If you want to use Docker executor,
and you are connecting to Docker Engine installed on server.
You can see the `Permission Denied` error.
The most likely cause is that your system uses SELinux (enabled by default on CentOS, Fedora and RHEL).
Check your SELinux policy on your system for possible denials.

## Docker-machine error: `Unable to query docker version: Cannot connect to the docker engine endpoint.`

If you get the error `Unable to query docker version: Cannot connect to the docker engine endpoint`, it could be related to a TLS failure. When `docker-machine` is installed, it ends up with some certs that don't work.

To fix this issue, clear out the certs and restart the runner. Upon restart, the runner notices the certs are empty and it recreates them.

```shell
sudo su -
rm -r /root/.docker/machine/certs/*
service gitlab-runner restart
```

## `dialing environment connection: ssh: rejected: connect failed (open failed)`

This error can be produced when the Docker autoscaler is unable to connect to the Docker daemon on the
target system, when the connection is tunneled through SSH. Ensure that you can SSH to the target system
and successfully run Docker commands, for example `docker info`.

## Adding an AWS Instance Profile to your autoscaled runners

After you create an AWS IAM Role, in your IAM console, the role has a **Role ARN** and a **Instance Profile ARNs**. You must use the **Instance Profile** name, **not** the **Role Name**.

Add the following value to your `[runners.machine]` section:
`"amazonec2-iam-instance-profile=<instance-profile-name>",`

## The Docker executor gets timeout when building Java project

This most likely happens, because of the broken AUFS storage driver:
[Java process hangs on inside container](https://github.com/moby/moby/issues/18502).
The best solution is to change the [storage driver](https://docs.docker.com/storage/storagedriver/select-storage-driver/)
to either OverlayFS (faster) or DeviceMapper (slower).

Check this article about [configuring and running Docker](https://docs.docker.com/config/daemon/)
or this article about [control and configure with systemd](https://docs.docker.com/config/daemon/systemd/).

## I get 411 when uploading artifacts

This happens due to fact that GitLab Runner uses `Transfer-Encoding: chunked` which is broken on early version of NGINX (<https://serverfault.com/questions/164220/is-there-a-way-to-avoid-nginx-411-content-length-required-errors>).

Upgrade your NGINX to newer version. For more information see this issue: <https://gitlab.com/gitlab-org/gitlab-runner/-/issues/1031>

## `No URL provided, cache will not be download`/`uploaded`

This occurs when caching is configured for the job, but the GitLab Runner helper does not have
any pre-signed URL to access a remote cache, or an invalid URL.
Review each [cache-related `config.toml` entry](../configuration/advanced-configuration.md#the-runnerscache-section)
and provider-specific keys and values.
An invalid URL might be constructed from any item that does not follow the URL syntax requirements.

Additionally, ensure that your helper `image` and `helper_image_flavor` match and are up-to-date.

If there is a problem with the credentials configuration, a
diagnostic error message is added to the GitLab Runner process log.

## Error: `warning: You appear to have cloned an empty repository.`

When running `git clone` using HTTP(s) (with GitLab Runner or manually for
tests) and you see the following output:

```shell
$ git clone https://git.example.com/user/repo.git

Cloning into 'repo'...
warning: You appear to have cloned an empty repository.
```

Make sure, that the configuration of the HTTP Proxy in your GitLab server
installation is done properly. Especially if you are using some HTTP Proxy with
its own configuration, make sure that GitLab requests are proxied to the
**GitLab Workhorse socket**, not to the **GitLab Unicorn socket**.

Git protocol via HTTP(S) is resolved by the GitLab Workhorse, so this is the
**main entrypoint** of GitLab.

If you are using a Linux package installation, but don't want to use the bundled NGINX
server, please read [using a non-bundled web-server](https://docs.gitlab.com/omnibus/settings/nginx.html#using-a-non-bundled-web-server).

In the GitLab Recipes repository there are
[web-server configuration examples](https://gitlab.com/gitlab-org/gitlab-recipes/tree/master/web-server) for Apache and NGINX.

If you are using GitLab installed from source, please also read the above
documentation and examples, and make sure that all HTTP(S) traffic is going
through the **GitLab Workhorse**.

See [an example of a user issue](https://gitlab.com/gitlab-org/gitlab-runner/-/issues/1105).

## Error: `zoneinfo.zip: no such file or directory` error when using `Timezone` or `OffPeakTimezone`

It's possible to configure the time zone in which `[[docker.machine.autoscaling]]` periods
are described. This feature should work on most Unix systems out of the box. However on some
Unix systems, and probably on most non-Unix systems (including Windows, for which we're providing
GitLab Runner binaries), when used, the runner will crash at start with an error similar to:

```plaintext
Failed to load config Invalid OffPeakPeriods value: open /usr/local/go/lib/time/zoneinfo.zip: no such file or directory
```

The error is caused by the `time` package in Go. Go uses the IANA Time Zone database to load
the configuration of the specified time zone. On most Unix systems, this database is already present on
one of well-known paths (`/usr/share/zoneinfo`, `/usr/share/lib/zoneinfo`, `/usr/lib/locale/TZ/`).
Go's `time` package looks for the Time Zone database in all those three paths. If it doesn't find any
of them, but the machine has a configured Go development environment, then it will fallback to
the `$GOROOT/lib/time/zoneinfo.zip` file.

If none of those paths are present (for example on a production Windows host) the above error is thrown.

In case your system has support for the IANA Time Zone database, but it's not available by default, you
can try to install it. For Linux systems it can be done for example by:

```shell
# on Debian/Ubuntu based systems
sudo apt-get install tzdata

# on RPM based systems
sudo yum install tzdata

# on Linux Alpine
sudo apk add -U tzdata
```

If your system doesn't provide this database in a _native_ way, then you can make `OffPeakTimezone`
working by following the steps below:

1. Downloading the [`zoneinfo.zip`](https://gitlab-runner-downloads.s3.amazonaws.com/latest/zoneinfo.zip). Starting with version v9.1.0 you can download
   the file from a tagged path. In that case you should replace `latest` with the tag name (e.g., `v9.1.0`)
   in the `zoneinfo.zip` download URL.

1. Store this file in a well known directory. We're suggesting to use the same directory where
   the `config.toml` file is present. So for example, if you're hosting Runner on Windows machine
   and your configuration file is stored at `C:\gitlab-runner\config.toml`, then save the `zoneinfo.zip`
   at `C:\gitlab-runner\zoneinfo.zip`.

1. Set the `ZONEINFO` environment variable containing a full path to the `zoneinfo.zip` file. If you
   are starting the Runner using the `run` command, then you can do this with:

   ```shell
   ZONEINFO=/etc/gitlab-runner/zoneinfo.zip gitlab-runner run <other options ...>
   ```

   or if using Windows:

   ```powershell
   C:\gitlab-runner> set ZONEINFO=C:\gitlab-runner\zoneinfo.zip
   C:\gitlab-runner> gitlab-runner run <other options ...>
   ```

   If you are starting GitLab Runner as a system service then you will need to update/override
   the service configuration in a way that is provided by your service manager software
   (unix systems) or by adding the `ZONEINFO` variable to the list of environment variables
   available for the GitLab Runner user through System Settings (Windows).

## Why can't I run more than one instance of GitLab Runner?

You can, but not sharing the same `config.toml` file.

Running multiple instances of GitLab Runner using the same configuration file can cause
unexpected and hard-to-debug behavior. In
[GitLab Runner 12.2](https://gitlab.com/gitlab-org/gitlab-runner/-/issues/4407),
only a single instance of GitLab Runner can use a specific `config.toml` file at
one time.

## `Job failed (system failure): preparing environment:`

This error is often due to your shell
[loading your profile](../shells/index.md#shell-profile-loading), and one of the scripts is
causing the failure.

Example of dotfiles that are known to cause failure:

- `.bash_logout`
- `.condarc`
- `.rvmrc`

SELinux can also be the culprit of this error. You can confirm this by looking at the SELinux audit log:

```shell
sealert -a /var/log/audit/audit.log
```

## Runner abruptly terminates after `Cleaning up` stage

CrowdStrike Falcon Sensor has been reported to kill pods after the `Cleaning up files` stage of a job
when the "container drift detection" setting was enabled. To ensure that jobs are able to complete, you must disable this setting.

## Job fails with `remote error: tls: bad certificate (exec.go:71:0s)`

This error can occur when the system time changes significantly during a job
that creates artifacts. Due to the change in system time, SSL certificates are expired, which causes an error when the runner attempts to uploads artifacts.

To ensure SSL verification can succeed during artifact upload,
change the system time back to a valid date and time at the end
of the job.  
Because the creation time of the artifacts file has also changed,
they are automatically archived.

## Helm Chart: `ERROR .. Unauthorized`

Before uninstalling or upgrading runners deployed with Helm, pause them in GitLab and
wait for any jobs to complete.

If you remove a runner pod with `helm uninstall` or `helm upgrade`
while a job is running, `Unauthorized` errors like the following
may occur when the job completes:

```plaintext
ERROR: Error cleaning up pod: Unauthorized
ERROR: Error cleaning up secrets: Unauthorized
ERROR: Job failed (system failure): Unauthorized
```

This probably occurs because when the runner is removed, the role bindings
are removed. The runner pod continues until the job completes,
and then the runner tries to delete it.
Without the role binding, the runner pod no longer has access.

See [this issue](https://gitlab.com/gitlab-org/charts/gitlab-runner/-/issues/225)
for details.

## Elasticsearch service container startup error `max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]`

Elasticsearch has a `vm.max_map_count` requirement that has to be set on the instance on which Elasticsearch is run.

See the [Elasticsearch Docs](https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html#docker-prod-prerequisites)
for how to set this value correctly depending on the platform.

## `Preparing the "docker+machine" executor ERROR: Preparation failed: exit status 1 Will be retried in 3s`

This error can occur when the Docker machine is not able to successfully create the executor virtual machines. To get more information
about the error, manually create the virtual machine with the same `MachineOptions` that you have defined in your `config.toml`.  

For example: `docker-machine create --driver=google --google-project=GOOGLE-PROJECT-ID --google-zone=GOOGLE-ZONE ...`.
