how to install gitlab on google cloud services

With this rearrangement, the pipeline can run much faster.The Ripple Data Engineering team is expanding, which means higher frequency changes to our data pipeline source code. For example, this makes it possible to launch the job’ plan’ after the job ‘validation’ without waiting for the ‘lint’ job (the lint of Ansible).

I used Gitlab’s “ needs” keyword to tell it which tasks are dependent on others.

Provisioning: Stage running the Ansible playbook.Deploying: Stage building the infrastructure and retrieving the machine’s IP address.Building: Step performing a “ terraform plan” to create the infrastructure.Validation: Validation step performing syntax tests on Terraform and Ansible files.Preparation: The preparation step for the build will contain the jobs initializing the Terraform workspace and building the Docker Ansible image.I defined the stages of my pipeline like this:

From this example, I removed the job to delete the ‘terraform destroy’ command and put the ‘build’ job in automatic mode instead of manual. Here we get to the heart of the matter! I took as an example the model that Gitlab provided for a Terraform pipeline available here. We’ll automatically build this image in our pipeline, upload it into the built-in registry on Gitlab, and then use it in later steps. I could have added collections or Ansible modules as well as dependencies in python if I needed to. Either way, the Dockerfile doesn’t contain anything foolish: I install the packages needed for Ansible, the jumit_xml library (you’ll see why later), I turn off host checking for SSH, and I create a generic user who will run the playbook.

How to install gitlab on google cloud services