Chapter 3. Configuring the monitoring stack

Procedure

1. Check whether the cluster-monitoring-config ConfigMap object exists:

   $ oc -n openshift-monitoring get configmap cluster-monitoring-config

2. If the ConfigMap object does not exist:

   1. Create the following YAML manifest. In this example the file is called cluster-monitoring-config.yaml:

      apiVersion: v1
      kind: ConfigMap
      metadata:
        name: cluster-monitoring-config
        namespace: openshift-monitoring
      data:
        config.yaml: |

   2. Apply the configuration to create the ConfigMap object:

      $ oc apply -f cluster-monitoring-config.yaml

Procedure

1. Check whether the user-workload-monitoring-config ConfigMap object exists:

   $ oc -n openshift-user-workload-monitoring get configmap user-workload-monitoring-config

2. If the user-workload-monitoring-config ConfigMap object does not exist:

   1. Create the following YAML manifest. In this example the file is called user-workload-monitoring-config.yaml:

      apiVersion: v1
      kind: ConfigMap
      metadata:
        name: user-workload-monitoring-config
        namespace: openshift-user-workload-monitoring
      data:
        config.yaml: |

   2. Apply the configuration to create the ConfigMap object:

      $ oc apply -f user-workload-monitoring-config.yaml

      Note

      Configurations applied to the user-workload-monitoring-config ConfigMap object are not activated unless a cluster administrator has enabled monitoring for user-defined projects.

Procedure

1. If you have not done so yet, add a label to the nodes on which you want to run the monitoring components:

   $ oc label nodes <node-name> <node-label>

2. Edit the ConfigMap object:

   • To move a component that monitors core OpenShift Container Platform projects:

     1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

        $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

     2. Specify the node labels for the nodeSelector constraint for the component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            <component>: 1
              nodeSelector:
                <node-label-1> 2
                <node-label-2> 3
                <...>

        1

        Substitute <component> with the appropriate monitoring stack component name.

        2

        Substitute <node-label-1> with the label you added to the node.

        3

        Optional: Specify additional labels. If you specify additional labels, the pods for the component are only scheduled on the nodes that contain all of the specified labels.

        Note

        If monitoring components remain in a Pending state after configuring the nodeSelector constraint, check the pod events for errors relating to taints and tolerations.

   • To move a component that monitors user-defined projects:

     1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

        $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

     2. Specify the node labels for the nodeSelector constraint for the component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            <component>: 1
              nodeSelector:
                <node-label-1> 2
                <node-label-2> 3
                <...>

        1

        Substitute <component> with the appropriate monitoring stack component name.

        2

        Substitute <node-label-1> with the label you added to the node.

        3

        Optional: Specify additional labels. If you specify additional labels, the pods for the component are only scheduled on the nodes that contain all of the specified labels.

        Note

        If monitoring components remain in a Pending state after configuring the nodeSelector constraint, check the pod events for errors relating to taints and tolerations.

3. Save the file to apply the changes. The components specified in the new configuration are automatically moved to the new nodes, and the pods affected by the new configuration are redeployed.

Procedure

1. To configure core platform monitoring components, edit the cluster-monitoring-config config map object in the openshift-monitoring namespace:

   $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

2. Add values to define resource limits and requests for each core platform monitoring component you want to configure.

   Important

   Make sure that the value set for a limit is always higher than the value set for a request. Otherwise, an error will occur, and the container will not run.

   Example

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: cluster-monitoring-config
     namespace: openshift-monitoring
   data:
     config.yaml: |
       alertmanagerMain:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       prometheusK8s:
         resources:
           limits:
             cpu: 500m
             memory: 3Gi
           requests:
             cpu: 200m
             memory: 500Mi
       prometheusOperator:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       metricsServer:
         resources:
           requests:
             cpu: 10m
             memory: 50Mi
           limits:
             cpu: 50m
             memory: 500Mi
       kubeStateMetrics:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       telemeterClient:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       openshiftStateMetrics:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       thanosQuerier:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       nodeExporter:
         resources:
           limits:
             cpu: 50m
             memory: 150Mi
           requests:
             cpu: 20m
             memory: 50Mi
       monitoringPlugin:
         resources:
           limits:
             cpu: 500m
             memory: 1Gi
           requests:
             cpu: 200m
             memory: 500Mi
       prometheusOperatorAdmissionWebhook:
         resources:
           limits:
             cpu: 50m
             memory: 100Mi
           requests:
             cpu: 20m
             memory: 50Mi

3. Save the file to apply the changes. The pods affected by the new configuration are automatically redeployed.

Procedure

1. Edit the ConfigMap object:

   • To configure a PVC for a component that monitors core OpenShift Container Platform projects:

     1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

        $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

     2. Add your PVC configuration for the component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            <component>: 1
              volumeClaimTemplate:
                spec:
                  storageClassName: <storage_class> 2
                  resources:
                    requests:
                      storage: <amount_of_storage> 3

        1

        Specify the core monitoring component for which you want to configure the PVC.

        2

        Specify an existing storage class. If a storage class is not specified, the default storage class is used.

        3

        Specify the amount of required storage.

        See the Kubernetes documentation on PersistentVolumeClaims for information on how to specify volumeClaimTemplate.

        The following example configures a PVC that claims persistent storage for the Prometheus instance that monitors core OpenShift Container Platform components:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              volumeClaimTemplate:
                spec:
                  storageClassName: my-storage-class
                  resources:
                    requests:
                      storage: 40Gi

   • To configure a PVC for a component that monitors user-defined projects:

     1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

        $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

     2. Add your PVC configuration for the component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            <component>: 1
              volumeClaimTemplate:
                spec:
                  storageClassName: <storage_class> 2
                  resources:
                    requests:
                      storage: <amount_of_storage> 3

        1

        Specify the component for user-defined monitoring for which you want to configure the PVC.

        2

        Specify an existing storage class. If a storage class is not specified, the default storage class is used.

        3

        Specify the amount of required storage.

        See the Kubernetes documentation on PersistentVolumeClaims for information on how to specify volumeClaimTemplate.

        The following example configures a PVC that claims persistent storage for Thanos Ruler:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            thanosRuler:
              volumeClaimTemplate:
                spec:
                  storageClassName: my-storage-class
                  resources:
                    requests:
                      storage: 10Gi

        Note

        Storage requirements for the thanosRuler component depend on the number of rules that are evaluated and how many samples each rule generates.

2. Save the file to apply the changes. The pods affected by the new configuration are automatically redeployed and the new storage configuration is applied.

   Warning

   When you update the config map with a PVC configuration, the affected StatefulSet object is recreated, resulting in a temporary service outage.

Procedure

1. Manually expand a PVC with the updated storage request. For more information, see "Expanding persistent volume claims (PVCs) with a file system" in Expanding persistent volumes.

2. Edit the ConfigMap object:

   • If you are configuring core OpenShift Container Platform monitoring components:

     1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

        $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

     2. Add a new storage size for the PVC configuration for the component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            <component>: 1
              volumeClaimTemplate:
                spec:
                  resources:
                    requests:
                      storage: <amount_of_storage> 2

        1

        The component for which you want to change the storage size.

        2

        Specify the new size for the storage volume. It must be greater than the previous value.

        The following example sets the new PVC request to 100 gigabytes for the Prometheus instance that monitors core OpenShift Container Platform components:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              volumeClaimTemplate:
                spec:
                  resources:
                    requests:
                      storage: 100Gi

   • If you are configuring components that monitor user-defined projects:

     Note

     You can resize the volumes for the Thanos Ruler and for instances of Alertmanager and Prometheus that monitor user-defined projects.

     1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

        $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

     2. Update the PVC configuration for the monitoring component under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            <component>: 1
              volumeClaimTemplate:
                spec:
                  resources:
                    requests:
                      storage: <amount_of_storage> 2

        1

        The component for which you want to change the storage size.

        2

        Specify the new size for the storage volume. It must be greater than the previous value.

        The following example sets the new PVC request to 20 gigabytes for Thanos Ruler:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            thanosRuler:
              volumeClaimTemplate:
                spec:
                  resources:
                    requests:
                      storage: 20Gi

        Note

        Storage requirements for the thanosRuler component depend on the number of rules that are evaluated and how many samples each rule generates.

3. Save the file to apply the changes. The pods affected by the new configuration are automatically redeployed.

   Warning

   When you update the config map with a new storage size, the affected StatefulSet object is recreated, resulting in a temporary service outage.

Procedure

1. Edit the ConfigMap object:

   • To modify the retention time and size for the Prometheus instance that monitors core OpenShift Container Platform projects:

     1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

        $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

     2. Add the retention time and size configuration under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              retention: <time_specification> 1
              retentionSize: <size_specification> 2

        1

        The retention time: a number directly followed by ms (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks), or y (years). You can also combine time values for specific times, such as 1h30m15s.

        2

        The retention size: a number directly followed by B (bytes), KB (kilobytes), MB (megabytes), GB (gigabytes), TB (terabytes), PB (petabytes), and EB (exabytes).

        The following example sets the retention time to 24 hours and the retention size to 10 gigabytes for the Prometheus instance that monitors core OpenShift Container Platform components:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              retention: 24h
              retentionSize: 10GB

   • To modify the retention time and size for the Prometheus instance that monitors user-defined projects:

     1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

        $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

     2. Add the retention time and size configuration under data/config.yaml:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            prometheus:
              retention: <time_specification> 1
              retentionSize: <size_specification> 2

        1

        The retention time: a number directly followed by ms (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks), or y (years). You can also combine time values for specific times, such as 1h30m15s.

        2

        The retention size: a number directly followed by B (bytes), KB (kilobytes), MB (megabytes), GB (gigabytes), TB (terabytes), PB (petabytes), or EB (exabytes).

        The following example sets the retention time to 24 hours and the retention size to 10 gigabytes for the Prometheus instance that monitors user-defined projects:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            prometheus:
              retention: 24h
              retentionSize: 10GB

2. Save the file to apply the changes. The pods affected by the new configuration are automatically redeployed.

Procedure

1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

   $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

2. Add the retention time configuration under data/config.yaml:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: user-workload-monitoring-config
     namespace: openshift-user-workload-monitoring
   data:
     config.yaml: |
       thanosRuler:
         retention: <time_specification> 1

   1

   Specify the retention time in the following format: a number directly followed by ms (milliseconds), s (seconds), m (minutes), h (hours), d (days), w (weeks), or y (years). You can also combine time values for specific times, such as 1h30m15s. The default is 24h.

   The following example sets the retention time to 10 days for Thanos Ruler data:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: user-workload-monitoring-config
     namespace: openshift-user-workload-monitoring
   data:
     config.yaml: |
       thanosRuler:
         retention: 10d

3. Save the file to apply the changes. The pods affected by the new configuration are automatically redeployed.

Procedure

1. Edit the ConfigMap object:

   • To create cluster ID labels for core OpenShift Container Platform metrics:

     1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

        $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

     2. In the writeRelabelConfigs: section under data/config.yaml/prometheusK8s/remoteWrite, add cluster ID relabel configuration values:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              remoteWrite:
              - url: "https://remote-write-endpoint.example.com"
                <endpoint_authentication_credentials>
                writeRelabelConfigs: 1
                  - <relabel_config> 2

        1

        Add a list of write relabel configurations for metrics that you want to send to the remote endpoint.

        2

        Substitute the label configuration for the metrics sent to the remote write endpoint.

        The following sample shows how to forward a metric with the cluster ID label cluster_id in default platform monitoring:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: cluster-monitoring-config
          namespace: openshift-monitoring
        data:
          config.yaml: |
            prometheusK8s:
              remoteWrite:
              - url: "https://remote-write-endpoint.example.com"
                writeRelabelConfigs:
                - sourceLabels:
                  - __tmp_openshift_cluster_id__ 1
                  targetLabel: cluster_id 2
                  action: replace 3

        1

        The system initially applies a temporary cluster ID source label named __tmp_openshift_cluster_id__. This temporary label gets replaced by the cluster ID label name that you specify.

        2

        Specify the name of the cluster ID label for metrics sent to remote write storage. If you use a label name that already exists for a metric, that value is overwritten with the name of this cluster ID label. For the label name, do not use __tmp_openshift_cluster_id__. The final relabeling step removes labels that use this name.

        3

        The replace write relabel action replaces the temporary label with the target label for outgoing metrics. This action is the default and is applied if no action is specified.

   • To create cluster ID labels for user-defined project metrics:

     1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

        $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

     2. In the writeRelabelConfigs: section under data/config.yaml/prometheus/remoteWrite, add cluster ID relabel configuration values:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            prometheus:
              remoteWrite:
              - url: "https://remote-write-endpoint.example.com"
                <endpoint_authentication_credentials>
                writeRelabelConfigs: 1
                  - <relabel_config> 2

        1

        Add a list of write relabel configurations for metrics that you want to send to the remote endpoint.

        2

        Substitute the label configuration for the metrics sent to the remote write endpoint.

        The following sample shows how to forward a metric with the cluster ID label cluster_id in user-workload monitoring:

        apiVersion: v1
        kind: ConfigMap
        metadata:
          name: user-workload-monitoring-config
          namespace: openshift-user-workload-monitoring
        data:
          config.yaml: |
            prometheus:
              remoteWrite:
              - url: "https://remote-write-endpoint.example.com"
                writeRelabelConfigs:
                - sourceLabels:
                  - __tmp_openshift_cluster_id__ 1
                  targetLabel: cluster_id 2
                  action: replace 3

        1

        The system initially applies a temporary cluster ID source label named __tmp_openshift_cluster_id__. This temporary label gets replaced by the cluster ID label name that you specify.

        2

        Specify the name of the cluster ID label for metrics sent to remote write storage. If you use a label name that already exists for a metric, that value is overwritten with the name of this cluster ID label. For the label name, do not use __tmp_openshift_cluster_id__. The final relabeling step removes labels that use this name.

        3

        The replace write relabel action replaces the temporary label with the target label for outgoing metrics. This action is the default and is applied if no action is specified.

2. Save the file to apply the changes. The new configuration is applied automatically.

Procedure

1. Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project:

   $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

2. Add the metrics collection profile setting under data/config.yaml/prometheusK8s:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: cluster-monitoring-config
     namespace: openshift-monitoring
   data:
     config.yaml: |
       prometheusK8s:
         collectionProfile: <metrics_collection_profile_name> 1

   1

   The name of the metrics collection profile. The available values are full or minimal. If you do not specify a value or if the collectionProfile key name does not exist in the config map, the default setting of full is used.

   The following example sets the metrics collection profile to minimal for the core platform instance of Prometheus:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: cluster-monitoring-config
     namespace: openshift-monitoring
   data:
     config.yaml: |
       prometheusK8s:
         collectionProfile: minimal

3. Save the file to apply the changes. The new configuration is applied automatically.

Procedure

1. Edit the user-workload-monitoring-config ConfigMap object in the openshift-user-workload-monitoring project:

   $ oc -n openshift-user-workload-monitoring edit configmap user-workload-monitoring-config

2. Add the enforcedSampleLimit configuration to data/config.yaml to limit the number of samples that can be accepted per target scrape in user-defined projects:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: user-workload-monitoring-config
     namespace: openshift-user-workload-monitoring
   data:
     config.yaml: |
       prometheus:
         enforcedSampleLimit: 50000 1

   1

   A value is required if this parameter is specified. This enforcedSampleLimit example limits the number of samples that can be accepted per target scrape in user-defined projects to 50,000.

3. Add the enforcedLabelLimit, enforcedLabelNameLengthLimit, and enforcedLabelValueLengthLimit configurations to data/config.yaml to limit the number of scraped labels, the length of label names, and the length of label values in user-defined projects:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: user-workload-monitoring-config
     namespace: openshift-user-workload-monitoring
   data:
     config.yaml: |
       prometheus:
         enforcedLabelLimit: 500 1
         enforcedLabelNameLengthLimit: 50 2
         enforcedLabelValueLengthLimit: 600 3

   1

   Specifies the maximum number of labels per scrape. The default value is 0, which specifies no limit.

   2

   Specifies the maximum length in characters of a label name. The default value is 0, which specifies no limit.

   3

   Specifies the maximum length in characters of a label value. The default value is 0, which specifies no limit.

4. Save the file to apply the changes. The limits are applied automatically.

Procedure

1. Create a YAML file with alerts that inform you when the targets are down and when the enforced sample limit is approaching. The file in this example is called monitoring-stack-alerts.yaml:

   apiVersion: monitoring.coreos.com/v1
   kind: PrometheusRule
   metadata:
     labels:
       prometheus: k8s
       role: alert-rules
     name: monitoring-stack-alerts 1
     namespace: ns1 2
   spec:
     groups:
     - name: general.rules
       rules:
       - alert: TargetDown 3
         annotations:
           message: '{{ printf "%.4g" $value }}% of the {{ $labels.job }}/{{ $labels.service
             }} targets in {{ $labels.namespace }} namespace are down.' 4
         expr: 100 * (count(up == 0) BY (job, namespace, service) / count(up) BY (job,
           namespace, service)) > 10
         for: 10m 5
         labels:
           severity: warning 6
       - alert: ApproachingEnforcedSamplesLimit 7
         annotations:
           message: '{{ $labels.container }} container of the {{ $labels.pod }} pod in the {{ $labels.namespace }} namespace consumes {{ $value | humanizePercentage }} of the samples limit budget.' 8
         expr: (scrape_samples_post_metric_relabeling / (scrape_sample_limit > 0)) > 0.9 9
         for: 10m 10
         labels:
           severity: warning 11

   1

   Defines the name of the alerting rule.

   2

   Specifies the user-defined project where the alerting rule is deployed.

   3

   The TargetDown alert fires if the target cannot be scraped and is not available for the for duration.

   4

   The message that is displayed when the TargetDown alert fires.

   5

   The conditions for the TargetDown alert must be true for this duration before the alert is fired.

   6

   Defines the severity for the TargetDown alert.

   7

   The ApproachingEnforcedSamplesLimit alert fires when the defined scrape sample threshold is exceeded and lasts for the specified for duration.

   8

   The message that is displayed when the ApproachingEnforcedSamplesLimit alert fires.

   9

   The threshold for the ApproachingEnforcedSamplesLimit alert. In this example, the alert fires when the number of ingested samples exceeds 90% of the configured limit.

   10

   The conditions for the ApproachingEnforcedSamplesLimit alert must be true for this duration before the alert is fired.

   11

   Defines the severity for the ApproachingEnforcedSamplesLimit alert.

2. Apply the configuration to the user-defined project:

   $ oc apply -f monitoring-stack-alerts.yaml

3. Additionally, you can check if a target has hit the configured limit:

   1. In the Administrator perspective of the web console, go to Observe Targets and select an endpoint with a Down status that you want to check.

      The Scrape failed: sample limit exceeded message is displayed if the endpoint failed because of an exceeded sample limit.