High level CDK construct to provision GitLab integrations with AWS
Project description
cdk-gitlab
High level CDK construct to provision GitLab integrations with AWS
Sample
# Example automatically generated from non-compiling source. May contain errors.
from cdk_gitlab import Provider, FargateJobExecutor, FargateRunner, JobExecutorImage
provider = Provider(stack, "GitlabProvider", vpc=vpc)
# create a Amazon EKS cluster
provider.create_fargate_eks_cluster(stack, "GitlabEksCluster",
cluster_options={
"vpc": vpc,
"version": eks.KubernetesVersion.V1_19
}
)
# create a default fargate runner with its job executor
provider.create_fargate_runner()
# alternatively, create the runner and the executor indivicually.
# first, create the executor
executor = FargateJobExecutor(stack, "JobExecutor",
image=JobExecutorImage.DEBIAN
)
# second, create the runner with the task definition of the executor
FargateRunner(stack, "FargateRunner",
vpc=vpc,
executor=executor
)
# TBD - create Amazon EC2 runner for the GitLab
provider.create_ec2_runner(...)
Fargate Runner with Amazon ECS
On deployment with createFargateRunner()
, the Fargate Runner will be provisioned in Amazon ECS with AWS Fargate and Amazon ECS Capacity Providers. By default, the FARGATE
and FARGATE_SPOT
capacity providers are available for the Amazon ECS cluster and the runner and job executor will run on FARGATE_SPOT
. You can specify your custom clusterDefaultCapacityProviderStrategy
and serviceDefaultCapacityProviderStrategy
properties from the FargateRunner
construct for different capacity provider strategies.
Deploy
cdk deploy -c GITLAB_REGISTRATION_TOKEN=<TOKEN>
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