Testing/CI/KubernetesRunners

To be able to run Gitlab CI jobs on a Kubernetes cluster, a Gitlab Runner must be installed [1].

Deployment

This sections documents the steps taken to deploy a GitLab Runner instance on a Azure Kubernetes cluster by using Helm [2].

Kubernetes Cluster

Create a Kubernetes cluster on Azure (AKS). Two node pools: "agentpool" for the Kubernetes system pods and "jobs" for the CI jobs.

CLI

Follow the docs to Install the Azure CLI.

Alternatively, run the Azure CLI in a container [3]:

podman run -it mcr.microsoft.com/azure-cli

Install the Kubernetes CLI (kubectl) [4]:

az aks install-cli

Install the Helm CLI [5]:

curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash

Sign in

Sign in to Azure [6]:

az login

Connect to your Kubernetes Cluster. Open the Azure web dashboard for your cluster and push the "Connect" button. A list of commands will be displayed to connect to your cluster. Something like the following:

az account set --subscription ...
az aks get-credentials ...

Gitlab

Register the new runner [7].

Gitlab Runner

Now it's time to install the Gitlab runner with Helm [8].

Create a namespace:

kubectl create namespace "gitlab-runner"

Create a values.yaml file for your runner configuration [9] like the snippet below.

Enabling RBAC support [10] seems to be needed [11] with the default AKS configuration.

gitlabUrl: "https://gitlab.com/"
runnerRegistrationToken: ""
rbac:
  create: true

Deploy the runner:

helm install --namespace gitlab-runner gitlab-runner -f values.yaml gitlab/gitlab-runner

If you change the configuration in values.yaml, apply it with the command below. Pause your runner before upgrading it to avoid service disruptions. [12]

helm upgrade --namespace gitlab-runner gitlab-runner -f values.yaml gitlab/gitlab-runner

Docker

QEMU jobs require Docker-in-Docker. Additional configuration is necessary. [13]

Update your values.yaml:

runners:
  config: |
    [[runners]]
      [runners.kubernetes]
        image = "ubuntu:20.04"
        privileged = true
      [[runners.kubernetes.volumes.empty_dir]]
        name = "docker-certs"
        mount_path = "/certs/client"
        medium = "Memory"

Update your job definitions to use the following:

image: docker:20.10.16
services:
  - docker:20.10.16-dind
variables:
  DOCKER_HOST: tcp://docker:2376
  DOCKER_TLS_CERTDIR: "/certs"
  DOCKER_TLS_VERIFY: 1
  DOCKER_CERT_PATH: "$DOCKER_TLS_CERTDIR/client"
before_script:
  - until docker info; do sleep 1; done