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In-cluster deployment

Deploy interLink in the local K8S cluster.

Docusaurus themed imageDocusaurus themed image

Deploy Kubernetes components​

The deployment of the Kubernetes components are managed by the official HELM chart. Depending on the scenario you selected, there might be additional operations to be done.

  • Create an helm values file:
values.yaml
nodeName: interlink-in-cluster

interlink:
  enabled: true
  address: http://localhost
  port: 3000
  logging:
    verboseLogging: true

plugin:
  enabled: true
  image: "ghcr.io/interlink-hq/interlink-sidecar-slurm/interlink-sidecar-slurm:0.5.1"
  address: "http://localhost"
  port: 4000
  privileged: true
  extraVolumeMounts:
    - name: plugin-data
      mountPath: /slurm-data
  envs:
    - name: SLURMCONFIGPATH
      value: "/etc/interlink/plugin.yaml"
    - name: SHARED_FS
      values: "true"
  config: |
    #Socket: "unix:///var/run/plugin.sock"
    ImagePrefix: "docker://"
    SidecarPort: 4000
    VerboseLogging: true
    ErrorsOnlyLogging: false
    DataRootFolder: "/slurm-data/"
    ExportPodData: true
    SbatchPath: "/usr/bin/sbatch"
    ScancelPath: "/usr/bin/scancel"
    SqueuePath: "/usr/bin/squeue"
    CommandPrefix: ""
    SingularityPrefix: ""
    Namespace: "vk"
    Tsocks: false
    TsocksPath: "$WORK/tsocks-1.8beta5+ds1/libtsocks.so"
    TsocksLoginNode: "login01"
    BashPath: /bin/bash

virtualNode:
  resources:
    CPUs: 4
    memGiB: 16
    pods: 50

extraVolumes:
  - name: plugin-data
    hostPath:
      path: /tmp/test
      type: DirectoryOrCreate

Eventually deploy the latest release of the official:

  export INTERLINK_CHART_VERSION="X.X.X"
  helm upgrade --install \
  --create-namespace \
  -n interlink \
  my-node \
  oci://ghcr.io/interlink-hq/interlink-helm-chart/interlink \
  --version $INTERLINK_CHART_VERSION \
  --values values.yaml
warning

Remember to pick the version of the chart and put it into the INTERLINK_CHART_VERSION env var above.

Whenever you see the node ready, you are good to go!

note

You can find a demo pod to test your setup here.

To start debugging in case of problems we suggest starting from the pod containers logs!