PLEASE NOTE: This document applies to v1.5 version and not to the latest stable release v1.9

    EdgeFS Monitoring


    Each Rook EdgeFS cluster has some built in metrics collectors/exporters for monitoring with Prometheus. If you do not have Prometheus running, follow the steps below to enable monitoring of Rook. If your cluster already contains a Prometheus instance, it will automatically discover Rooks scrape endpoint using the standard prometheus.io/scrape and prometheus.io/port annotations.

    Prometheus Operator

    First the Prometheus operator needs to be started in the cluster so it can watch for our requests to start monitoring Rook and respond by deploying the correct Prometheus pods and configuration. A full explanation can be found in the Prometheus operator repository on GitHub, but the quick instructions can be found here:

    kubectl apply -f https://raw.githubusercontent.com/coreos/prometheus-operator/v0.27.0/bundle.yaml

    This will start the Prometheus operator, but before moving on, wait until the operator is in the Running state:

    kubectl get pod

    Once the Prometheus operator is in the Running state, proceed to the next section.

    Prometheus Instances

    With the Prometheus operator running, we can create a service monitor that will watch the Rook cluster and collect metrics regularly. From the root of your locally cloned Rook repo, go the monitoring directory:

    git clone --single-branch --branch v1.5.12 https://github.com/rook/rook.git
    cd rook/cluster/examples/kubernetes/edgefs/monitoring

    Create the service monitor as well as the Prometheus server pod and service:

    kubectl create -f service-monitor.yaml
    kubectl create -f prometheus.yaml
    kubectl create -f prometheus-service.yaml

    Ensure that the Prometheus server pod gets created and advances to the Running state before moving on:

    kubectl -n rook-edgefs get pod prometheus-rook-prometheus-0

    Prometheus Web Console

    Once the Prometheus server is running, you can open a web browser and go to the URL that is output from this command:

    echo "http://$(kubectl -n rook-edgefs -o jsonpath={.status.hostIP} get pod prometheus-rook-prometheus-0):30900"

    You should now see the Prometheus monitoring website.

    Prometheus Monitoring Website

    Click on Graph in the top navigation bar.

    Prometheus Add graph

    In the dropdown that says insert metric at cursor, select any metric you would like to see, for example nedge_cluster_objects. Below the Execute button, ensure the Graph tab is selected and you should now see a graph of your chosen metric over time.

    Prometheus Consoles

    A guide to how you can write your own Prometheus consoles can be found on the official Prometheus site here: Prometheus.io Documentation - Console Templates.

    Grafana Dashboards

    For feedback on the dashboards please reach out to him on the Rook.io Slack.

    NOTE: The dashboard only compatible with Grafana 5.0.3 or higher.

    The following Grafana dashboard is available:


    To clean up all the artifacts created by the monitoring walkthrough, copy/paste the entire block below (note that errors about resources “not found” can be ignored):

    kubectl delete -f service-monitor.yaml
    kubectl delete -f prometheus.yaml
    kubectl delete -f prometheus-service.yaml
    kubectl delete -f https://raw.githubusercontent.com/coreos/prometheus-operator/v0.27.0/bundle.yaml

    Then the rest of the instructions in the Prometheus Operator docs can be followed to finish cleaning up.