[](https://badge.fury.io/js/cdk-gitlab)
[](https://badge.fury.io/py/cdk-gitlab)
# cdk-gitlab
High level CDK construct to provision GitLab integrations with AWS
# Sample
```python
# 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_18
}
)
# 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](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/cluster-capacity-providers.html). 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
```sh
cdk deploy -c GITLAB_REGISTRATION_TOKEN=<TOKEN>
```
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