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    Performance Evaluation Method Wrapper

    Description:

    • enable prometheus addon:
    tfs@tfs-vm:~/tfs-ctrl$ microk8s.enable prometheus
    • wait till prometheus becomes enabled (when enabled, press Ctrl+C):
    tfs@tfs-vm:~/tfs-ctrl$ watch -n 1 microk8s.status --wait-ready
    • wait till all pods in the monitoring namespace have STATE=Running and READY=X/X (when done, press Ctrl+C):
    tfs@tfs-vm:~/tfs-ctrl$ watch -n 1 kubectl get pods --all-namespaces
    • deploy as:
    tfs@tfs-vm:~/tfs-ctrl$ source src/common/method_wrappers/tests/deploy_specs.sh
    tfs@tfs-vm:~/tfs-ctrl$ ./deploy.sh
    • expose prometheus and grafana

      • (required) terminal 1 (grafana UI): kubectl port-forward -n monitoring service/grafana --address 0.0.0.0 3001:3000
      • (optional) terminal 2 (prometheus UI): kubectl port-forward -n monitoring service/prometheus-k8s --address 0.0.0.0 9090:9090
      • (optional) terminal 3 (alertmanager UI): kubectl port-forward -n monitoring service/alertmanager-main --address 0.0.0.0 9093:9093
    • if using remote server/VM for running MicroK8s and VSCode, forward ports 3001, 9090, 9093

    • (only used for internal framework debugging) run manual tests over the performance evaluation framework

      • terminal 4:
      export PYTHONPATH=/home/tfs/tfs-ctrl/src
      python -m common.method_wrappers.tests
    • log into grafana:

      • browse: http://127.0.0.1:3000
      • user/pass: admin/admin
      • upload dashboards through "left menu > Dashboards > Manage > Import"
        • upload grafana_prometheus_component_rpc.json
        • upload grafana_prometheus_device_driver.json
        • upload grafana_prometheus_service_handler.json
      • watch in real time the dashboard
    • upload topology through WebUI and navigate

      • should see histogram changing in Grafana

    References: