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High level CDK construct to provision GitLab integrations with AWS

Project description

NPM version PyPI version Release

cdk-gitlab

High level CDK construct to provision GitLab integrations with AWS

Sample

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
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 Aamzon 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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