Specific Runners are useful for jobs that have special requirements or for projects with a specific demand. A Runner that serves all projects is called a shared Runner. In contrast to specific Runners that use a FIFO queue, this prevents cases where projects create hundreds of jobs which can lead to eating all available shared Runners resources. Shared Runners process jobs using a fair usage queue. This makes it easier to maintain and update them. Rather than having multiple Runners idling for many projects, you can have a single or a small number of Runners that handle multiple projects. Shared Runners are relevant for jobs that have similar requirements, and multiple projects. There are different types of GitLab runners and they are as follows:
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Here are some related guides: How to install Git on macOS, How to uninstall Git on macOS, Practical Git use with mackdown, how to clone a repository and install software from GitHub on Windows, how to use AWS CodeCommit, Azure DevOps and GitHub integration for Docker and Kubernetes deployment, and how to build your first CI/CD Pipeline in Azure DevOps using ASP.Net Core Application. GitLab Runner can also run inside a Docker container or be deployed into a Kubernetes cluster. Other operating systems may also work, as long as you can compile a Go binary on them. You can install GitLab Runner on several different supported operating systems. When you use separate machines, you can have different operating systems and tools, like Kubernetes or Docker, on each. I f you do, you should install GitLab Runner on a machine that’s separate from the one that hosts the GitLab instance for security and performance reasons. You can choose to install the GitLab Runner application on the infrastructure that you own or manage.
It can be run as a single binary no language-specific requirements are needed. It works with GitLab CI/CD to run jobs in a pipeline. GitLab Runner is an open-source application and it is written in Go.
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