And as a result, more pipelines are to be performed. And as you can guess, the more people on the projects, the more tasks to do. On the other hand, we may scale our team some time. Now imagine that we have tens of runners. It would be completely challenging because they have to add their needed configurations to the runners. Now imagine we have planned to add several new jobs by a team of developers. We assumed we needed to add a single new job to the pipeline. But some problems may arise here as well. So it would be better to go on with the second approach, reconfiguring the runners. Can you imagine how it would be hard to maintain all of them? Thus, we won’t pick it as a reasonable solution. With the first approach, we will have lots of runners after a while, and each of them will perform a particular job in the pipeline. In the second one, our previously configured runners will be able to perform the new job. So in our example, it just runs the Danger job. We have a new runner in the first solution, which is only responsible for the jobs with the newly added tag. Let’s see what’s the difference between these two approaches. Second, we can update all - or at least some of - the current machines to adapt to the new job. First, we can set up a single new runner with a particular tag (e.g., “Danger”) to handle that kind of job. Assume we’ve added Danger to our iOS project, so we need to install the Danger binary on our runners. Copy ansible_vagrant/custom_ to ansible_vagrant/custom_vars.Photo by Charles Patterson on Unsplash What’s the problem?Īs our pipelines change, we may need to reconfigure our CI/CD runners iteratively.Customize memory and cpus to your needs and available resources.

prequesites (developer machine)Ĭlone the repo, jump into the cloned directory and configure to your needs Configuration The dependencies are installed using the vagrant ansible_local provisioner. The vagrant machine is based on ubuntu 18.04 installing docker and gitlab-runner. This repo offers a Vagrant Template to set up a gitlab runner with docker executor running inside a vagrant (virtualbox) machine on a developer machine. (c) Andre Lohmann (and others) 2020 Maintainer Contact

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