8/12/2023 0 Comments Aws disk image tools![]() Autoscaling algorithm and the parameters it’s based on - depends on the needs of your organization.We will focus on the AWS machine options, for the rest of the settings read Tells GitLab Runner how and when to spawn new or remove old Docker Machine This is the most important part of the configuration and it’s the one that How cache works The runners.machine section.Deploying and using a cache server for GitLab Runner.Here’s some more information to further explore the cache mechanism: Type = "s3" Shared = true ServerAddress = "s3." AccessKey = "" SecretKey = "" BucketName = "" BucketLocation = "us-east-1" You can now move on to the most important part, configuring the GitLab Runner. When asked the executor type, enter docker+machine.Registering the GitLab Runnerīefore configuring the GitLab Runner, you need to first register it, so that Now that the Runner is installed, it’s time to register it. Install Docker Machine from the GitLab fork (Docker has deprecated Docker Machine).Install GitLab Runner from the official GitLab repository.Therefore, it is the only host with an ongoing baseline cost. This machine is a dedicated hostīecause we need it always up and running. This doesn’t have to be a powerful machine because a runner manager instance doesn’t run jobs itself.įor your initial configuration, you can start with a smaller instance. Choose a distribution that bothĭocker and GitLab Runner support, like Ubuntu, Debian, CentOS, or RHEL. The first step is to install GitLab Runner in an EC2 instance that will serveĪs the runner manager that spawns new machines. Attach this instance profile to the runner manager EC2 instance to allow the provisioning of new EC2 instances for the jobs’ execution. You can also create an EC2 instance profile with the required AmazonEC2FullAccess and AmazonS3FullAccess policies. Security credentials in an editor as we’ll use them later during the You can disable console login for that user. ![]() Tied to a user with permission to scale (EC2) and update the cache (via S3).įor EC2 (AmazonEC2FullAccess) and S3 (AmazonS3FullAccess). You have to make sure that ports 2376 and 22 are accessible by the Runner Manager instance. Liking ahead of time based on your networking environment. Rules you need and provide that in the GitLab Runner options as we will Instead of relying on Docker, you can create a security group with the ![]() With rules for port 2376 and SSH 22, which is required for communication with the Dockerĭaemon. Is likely different, so consider what works best for your situation. In a different VPC to better strengthen your network security. Groups or when setting up your DNS configuration.įor example, you can keep the EC2 resources segmented away from public traffic Your GitLab Runner is going to need to talk to your GitLab instance over the network,Īnd that is something you need think about when configuring any AWS security To familiarize yourself with the parameters we will set later in this article. We suggest a quick read through Docker machine PrerequisitesĪ familiarity with Amazon Web Services (AWS) is required as this is where most Greatly reduce the costs of the GitLab Runner instances while still using quite In addition, we’ll make use of Amazon’s EC2 Spot instances which will They use the parametersĬovered in this guide and do not require manual configuration after creation. The runners on these instances are automatically created. The instance in AWS will serve as a runner manager that spawns new Docker instances onĭemand. In this tutorial, we’ll explore how to properly configure GitLab Runner inĪWS. Where you don’t use your runners 24/7 and want to have a cost-effective and Great feature, and if used correctly, it can be extremely useful in situations Spin up and down VMs to make sure your builds get processed immediately. One of the biggest advantages of GitLab Runner is its ability to automatically
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