Troubleshooting GitLab-Runner on a Kubernetes Cluster: Resolving Mount Source Path Error '/usr/share/ca-certificates/mozilla'

As data scientists, we often find ourselves working with various tools and platforms to manage our projects. GitLab and Kubernetes are two such tools that are indispensable in our daily workflows. However, when deploying GitLab-Runner on a Kubernetes cluster, you might encounter an error while creating the mount source path ‘/usr/share/ca-certificates/mozilla’. This blog post will guide you through the process of troubleshooting and resolving this issue.

Troubleshooting GitLab-Runner on a Kubernetes Cluster: Resolving Mount Source Path Error ‘/usr/share/ca-certificates/mozilla’

As data scientists, we often find ourselves working with various tools and platforms to manage our projects. GitLab and Kubernetes are two such tools that are indispensable in our daily workflows. However, when deploying GitLab-Runner on a Kubernetes cluster, you might encounter an error while creating the mount source path ‘/usr/share/ca-certificates/mozilla’. This blog post will guide you through the process of troubleshooting and resolving this issue.

Understanding the Issue

Before we dive into the solution, let’s understand the problem. The error message typically appears as follows:

Error response from daemon: error while creating mount source path '/usr/share/ca-certificates/mozilla': mkdir /usr/share/ca-certificates: read-only file system

This error occurs when the GitLab-Runner tries to create a directory on a read-only file system within the Kubernetes cluster. The ‘/usr/share/ca-certificates/mozilla’ directory is where the Mozilla CA certificates are stored. If this directory does not exist or is inaccessible, the GitLab-Runner fails to start.

Prerequisites

Before proceeding with the troubleshooting steps, ensure you have the following:

  • A running Kubernetes cluster
  • Admin access to the cluster
  • GitLab-Runner installed on the cluster

Solution Steps

Step 1: Verify the Existence of the Directory

First, check if the ‘/usr/share/ca-certificates/mozilla’ directory exists in your Kubernetes nodes. You can do this by executing the following command:

kubectl exec -it <node-name> -- ls /usr/share/ca-certificates

If the ‘mozilla’ directory does not exist, you need to create it.

Step 2: Create the Directory

To create the ‘mozilla’ directory, use the following command:

kubectl exec -it <node-name> -- mkdir -p /usr/share/ca-certificates/mozilla

Step 3: Change the Directory Permissions

Next, change the permissions of the ‘mozilla’ directory to make it writable. This can be done using the following command:

kubectl exec -it <node-name> -- chmod 755 /usr/share/ca-certificates/mozilla

Step 4: Restart the GitLab-Runner

Finally, restart the GitLab-Runner to apply the changes. Use the following command to do this:

kubectl rollout restart deployment/<gitlab-runner-deployment-name>

Conclusion

By following these steps, you should be able to resolve the mount source path error ‘/usr/share/ca-certificates/mozilla’ when deploying GitLab-Runner on a Kubernetes cluster. Remember, the key is to ensure that the required directory exists and is writable.

In the world of data science, troubleshooting is a necessary skill. Understanding the tools we use, such as GitLab and Kubernetes, and knowing how to resolve issues that arise, can significantly improve our productivity and efficiency.

If you encounter any other issues or have any questions, feel free to reach out. Happy troubleshooting!


Keywords: GitLab-Runner, Kubernetes, Mount Source Path Error, Data Science, Troubleshooting, ‘/usr/share/ca-certificates/mozilla’, Kubernetes Cluster, GitLab, Directory Permissions

Meta Description: This blog post provides a step-by-step guide to resolving the mount source path error ‘/usr/share/ca-certificates/mozilla’ when deploying GitLab-Runner on a Kubernetes cluster.


About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.