![]() ![]() The docker image contains the software required to run the pipeline workloads, thereby eliminating the need to install these packages during each build. The docker executor implementation lets the Gitlab Runner run each build in a separate and isolated container. cfn-init configures the Gitlab Runner as a docker executor using a pre-defined docker image in the Gitlab Container Registry.cfn-init installs the Gitlab Runner software on the EC2 instance.During instance launch, CloudFormation uses a cfn-init helper script to install and configure the Gitlab Runner:.This ensures graceful instance termination. ![]() A lifecycle hook is attached to the autoscaling group on instance termination events. The role contains permissions required for the Gitlab Runner to execute pipeline jobs. An IAM role is created and attached to the EC2 instance. Each instance is launched via a launch template, which is created with values from the properties file. During stack creation, an EC2 autoscaling group is created with the desired number of EC2 instances.The deploy script calls CloudFormation CreateStack API to create a Gitlab Runner stack in the specified environment.The properties file specifies the infrastructure configuration, as well as the environment in which to deploy the template. The template is parameterized, and the parameters are defined in a properties file. The user runs a deploy script in order to deploy the CloudFormation template.We use AWS CloudFormation to describe the infrastructure that is hosting the Gitlab Runner. The following diagram displays the solution architecture. This post comes from a DevOps engineer perspective, and assumes that the engineer is familiar with the practices and tools of IaC and CI/CD. How to autoscale Gitlab Runner based on workloads to ensure best performance and save costs.How to enforce guardrails and best practices on the Gitlab Runner through IaC.How to deploy Gitlab Runner quickly and consistently across multiple AWS accounts.The solution presented here also offers autoscaling so that you save costs by terminating resources when not in use. And, you can enforce guardrails and best practices via code. You can track and manage changes efficiently. With IaC, you can quickly and consistently deploy the entire Gitlab Runner architecture by running a script. This post will guide you through utilizing Infrastructure-as-Code (IaC) to automate Gitlab Runner deployment and administrative tasks on Amazon EC2. For enterprises running hundreds of pipelines across multiple environments, it is essential to automate the Gitlab Runner deployment process so as to be deployed quickly in a repeatable, consistent manner. It involves provisioning the necessary infrastructure, installing the necessary software to run pipeline workloads, and configuring the runner. Setting up the Gitlab Runner is a time-consuming process. gitlab-ci.yml file describing a pipeline’s jobs, and a Gitlab Runner, an application that executes the pipeline jobs. A Gitlab CI/CD pipeline consists of two major components: A. Gitlab CI is a tool utilized by many enterprises to automate their Continuous integration, continuous delivery and deployment (CI/CD) process. ![]()
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