Installing Sourcegraph on OpenBSD

Sourcegraph is a powerful code search and developer productivity tool that helps you explore and understand large codebases with ease. In this tutorial, we will guide you on how to install Sourcegraph on OpenBSD.

Prerequisites

Before we begin, make sure your OpenBSD system has the following prerequisites installed:

  • Curl
  • Docker

In order to perform the installation, you will need administrative privileges.

Step 1: Install Docker on OpenBSD

Before you can install Sourcegraph, you need to install Docker on your OpenBSD system. You can install Docker by running the following command in the terminal:

$ doas pkg_add docker

Step 2: Download Sourcegraph

After installing Docker, you can now download the Sourcegraph Docker image by running the following command:

$ docker pull sourcegraph/server:3.30.0

This will download the latest stable version of Sourcegraph.

Step 3: Start Sourcegraph

After downloading Sourcegraph, you can start the application by running the following command:

$ docker run --publish 7080:7080 --publish 127.0.0.1:3370:3370 --rm --volume ~/.sourcegraph/config:/etc/sourcegraph --volume ~/.sourcegraph/data:/var/opt/sourcegraph sourcegraph/server:3.30.0

This command will start Sourcegraph with the following configuration:

  • The application will be available at http://localhost:7080.
  • The Sourcegraph SQLite database will be stored in the ~/.sourcegraph/data directory.
  • The Sourcegraph configuration files will be stored in the ~/.sourcegraph/config directory.

Step 4: Access Sourcegraph

After starting Sourcegraph, you can access the application by opening the following URL in your web browser:

http://localhost:7080

You should now be able to login to Sourcegraph using your GitHub, GitLab, or Bitbucket credentials.

Conclusion

Congratulations! You have successfully installed Sourcegraph on your OpenBSD system using Docker. With Sourcegraph, you can now search and navigate code more efficiently than ever before, making it a valuable tool for any developer working with large codebases.