Create EKS cluster, deploy CKF and MLflow and run MLflow bundle UATs #20
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| name: Create EKS cluster, deploy MLflow and run bundle test | |
| on: | |
| workflow_dispatch: # This event allows manual triggering from the Github UI | |
| secrets: | |
| BUNDLE_KUBEFLOW_EKS_AWS_ACCESS_KEY_ID: | |
| required: true | |
| BUNDLE_KUBEFLOW_EKS_AWS_SECRET_ACCESS_KEY: | |
| required: true | |
| inputs: | |
| region: | |
| description: 'Insert the AWS Region name in which the script will deploy the EKS cluster.' | |
| required: false | |
| default: 'eu-central-1' | |
| type: string | |
| schedule: | |
| - cron: "23 0 * * 2" | |
| jobs: | |
| deploy-mlflow-to-eks: | |
| runs-on: ubuntu-22.04 | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v2 | |
| - name: Install tox | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install tox | |
| - name: Configure AWS Credentials | |
| env: | |
| AWS_ACCESS_KEY_ID: ${{ secrets.BUNDLE_KUBEFLOW_EKS_AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.BUNDLE_KUBEFLOW_EKS_AWS_SECRET_ACCESS_KEY }} | |
| run: | | |
| aws configure set aws_access_key_id $AWS_ACCESS_KEY_ID | |
| aws configure set aws_secret_access_key $AWS_SECRET_ACCESS_KEY | |
| aws configure set default.region ${{ inputs.region }} | |
| - name: Install kubectl | |
| run: | | |
| sudo snap install kubectl --classic --channel=1.24/stable | |
| mkdir ~/.kube | |
| kubectl version --client | |
| - name: Install eksctl | |
| run: | | |
| sudo apt-get update | |
| sudo apt-get install -y unzip | |
| curl --silent --location "https://github.com/weaveworks/eksctl/releases/latest/download/eksctl_$(uname -s)_amd64.tar.gz" | tar xz -C /tmp | |
| sudo mv /tmp/eksctl /usr/local/bin | |
| eksctl version | |
| - name: Install juju | |
| run: | | |
| sudo snap install juju --classic --channel=2.9/stable | |
| sudo snap install charmcraft --classic | |
| juju version | |
| - name: Create cluster | |
| run: | | |
| sed -i "s/{{ region }}/${{ inputs.region }}/" .github/cluster.yaml | |
| eksctl create cluster -f .github/cluster.yaml | |
| kubectl get nodes | |
| - name: Setup juju | |
| run: | | |
| juju add-k8s kubeflow --client | |
| juju bootstrap --no-gui kubeflow kubeflow-controller | |
| juju add-model kubeflow | |
| - name: Test bundle deployment | |
| run: | | |
| tox -vve bundle-test -- --model kubeflow --keep-models -vv -s | |
| # On failure, capture debugging resources | |
| - name: Get all kubernetes resources | |
| run: kubectl get all -A | |
| if: failure() | |
| - name: Get juju status | |
| run: juju status | |
| if: failure() | |
| - name: Get workload logs | |
| run: kubectl logs --tail 100 -ntesting -lapp.kubernetes.io/name=mlflow-server | |
| if: failure() | |
| - name: Get operator logs | |
| run: kubectl logs --tail 100 -ntesting -loperator.juju.is/name=mlflow-server | |
| if: failure() | |
| - name: Remove eks | |
| if: always() | |
| run: | | |
| eksctl delete cluster --name=mlflow-bundle-test | |
| delete-unattached-volumes: | |
| if: always() | |
| uses: ./.github/workflows/delete-aws-volumes.yaml | |
| secrets: inherit | |
| with: | |
| region: ${{ inputs.region }} | |
| needs: [deploy-mlflow-to-eks] |