Chapter 9. Troubleshooting cluster logging

Procedure

1. Change to the openshift-logging project.

   $ oc project openshift-logging

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2. To view the cluster logging status:

   1. Get the cluster logging status:

      $ oc get clusterlogging instance -o yaml

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      Example output

      apiVersion: logging.openshift.io/v1
      kind: ClusterLogging
      
      ....
      
      status:  

      1

      
        collection:
          logs:
            fluentdStatus:
              daemonSet: fluentd  

      2

      
              nodes:
                fluentd-2rhqp: ip-10-0-169-13.ec2.internal
                fluentd-6fgjh: ip-10-0-165-244.ec2.internal
                fluentd-6l2ff: ip-10-0-128-218.ec2.internal
                fluentd-54nx5: ip-10-0-139-30.ec2.internal
                fluentd-flpnn: ip-10-0-147-228.ec2.internal
                fluentd-n2frh: ip-10-0-157-45.ec2.internal
              pods:
                failed: []
                notReady: []
                ready:
                - fluentd-2rhqp
                - fluentd-54nx5
                - fluentd-6fgjh
                - fluentd-6l2ff
                - fluentd-flpnn
                - fluentd-n2frh
        logstore: 

      3

      
          elasticsearchStatus:
          - ShardAllocationEnabled:  all
            cluster:
              activePrimaryShards:    5
              activeShards:           5
              initializingShards:     0
              numDataNodes:           1
              numNodes:               1
              pendingTasks:           0
              relocatingShards:       0
              status:                 green
              unassignedShards:       0
            clusterName:             elasticsearch
            nodeConditions:
              elasticsearch-cdm-mkkdys93-1:
            nodeCount:  1
            pods:
              client:
                failed:
                notReady:
                ready:
                - elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
              data:
                failed:
                notReady:
                ready:
                - elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
              master:
                failed:
                notReady:
                ready:
                - elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
      visualization:  

      4

      
          kibanaStatus:
          - deployment: kibana
            pods:
              failed: []
              notReady: []
              ready:
              - kibana-7fb4fd4cc9-f2nls
            replicaSets:
            - kibana-7fb4fd4cc9
            replicas: 1

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      1

      In the output, the cluster status fields appear in the status stanza.

      2

      Information on the Fluentd pods.

      3

      Information on the Elasticsearch pods, including Elasticsearch cluster health, green, yellow, or red.

      4

      Information on the Kibana pods.

Procedure

1. Change to the openshift-logging project.

   $ oc project openshift-logging

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2. View the status of the cluster logging environment:

   $ oc describe deployment cluster-logging-operator

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   Example output

   Name:                   cluster-logging-operator
   
   ....
   
   Conditions:
     Type           Status  Reason
     ----           ------  ------
     Available      True    MinimumReplicasAvailable
     Progressing    True    NewReplicaSetAvailable
   
   ....
   
   Events:
     Type    Reason             Age   From                   Message
     ----    ------             ----  ----                   -------
     Normal  ScalingReplicaSet  62m   deployment-controller  Scaled up replica set cluster-logging-operator-574b8987df to 1----

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3. View the status of the cluster logging replica set:

   1. Get the name of a replica set:

      Example output

      $ oc get replicaset

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      Example output

      NAME                                      DESIRED   CURRENT   READY   AGE
      cluster-logging-operator-574b8987df       1         1         1       159m
      elasticsearch-cdm-uhr537yu-1-6869694fb    1         1         1       157m
      elasticsearch-cdm-uhr537yu-2-857b6d676f   1         1         1       156m
      elasticsearch-cdm-uhr537yu-3-5b6fdd8cfd   1         1         1       155m
      kibana-5bd5544f87                         1         1         1       157m

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   2. Get the status of the replica set:

      $ oc describe replicaset cluster-logging-operator-574b8987df

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      Example output

      Name:           cluster-logging-operator-574b8987df
      
      ....
      
      Replicas:       1 current / 1 desired
      Pods Status:    1 Running / 0 Waiting / 0 Succeeded / 0 Failed
      
      ....
      
      Events:
        Type    Reason            Age   From                   Message
        ----    ------            ----  ----                   -------
        Normal  SuccessfulCreate  66m   replicaset-controller  Created pod: cluster-logging-operator-574b8987df-qjhqv----

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Procedure

1. Change to the openshift-logging project.

   $ oc project openshift-logging

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2. To view the status:

   1. Get the name of the log store instance:

      $ oc get Elasticsearch

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      Example output

      NAME            AGE
      elasticsearch   5h9m

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   2. Get the log store status:

      $ oc get Elasticsearch <Elasticsearch-instance> -o yaml

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      For example:

      $ oc get Elasticsearch elasticsearch -n openshift-logging -o yaml

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      The output includes information similar to the following:

      Example output

      status: 

      1

      
        cluster: 

      2

      
          activePrimaryShards: 30
          activeShards: 60
          initializingShards: 0
          numDataNodes: 3
          numNodes: 3
          pendingTasks: 0
          relocatingShards: 0
          status: green
          unassignedShards: 0
        clusterHealth: ""
        conditions: [] 

      3

      
        nodes: 

      4

      
        - deploymentName: elasticsearch-cdm-zjf34ved-1
          upgradeStatus: {}
        - deploymentName: elasticsearch-cdm-zjf34ved-2
          upgradeStatus: {}
        - deploymentName: elasticsearch-cdm-zjf34ved-3
          upgradeStatus: {}
        pods: 

      5

      
          client:
            failed: []
            notReady: []
            ready:
            - elasticsearch-cdm-zjf34ved-1-6d7fbf844f-sn422
            - elasticsearch-cdm-zjf34ved-2-dfbd988bc-qkzjz
            - elasticsearch-cdm-zjf34ved-3-c8f566f7c-t7zkt
          data:
            failed: []
            notReady: []
            ready:
            - elasticsearch-cdm-zjf34ved-1-6d7fbf844f-sn422
            - elasticsearch-cdm-zjf34ved-2-dfbd988bc-qkzjz
            - elasticsearch-cdm-zjf34ved-3-c8f566f7c-t7zkt
          master:
            failed: []
            notReady: []
            ready:
            - elasticsearch-cdm-zjf34ved-1-6d7fbf844f-sn422
            - elasticsearch-cdm-zjf34ved-2-dfbd988bc-qkzjz
            - elasticsearch-cdm-zjf34ved-3-c8f566f7c-t7zkt
        shardAllocationEnabled: all

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      1

      In the output, the cluster status fields appear in the status stanza.

      2

      The status of the log store:

      • The number of active primary shards.
      • The number of active shards.
      • The number of shards that are initializing.
      • The number of log store data nodes.
      • The total number of log store nodes.
      • The number of pending tasks.
      • The log store status: green, red, yellow.
      • The number of unassigned shards.

      3

      Any status conditions, if present. The log store status indicates the reasons from the scheduler if a pod could not be placed. Any events related to the following conditions are shown:

      • Container Waiting for both the log store and proxy containers.
      • Container Terminated for both the log store and proxy containers.
      • Pod unschedulable. Also, a condition is shown for a number of issues, see Example condition messages.

      4

      The log store nodes in the cluster, with upgradeStatus.

      5

      The log store client, data, and master pods in the cluster, listed under 'failed`, notReady or ready state.

1. In the OpenShift Container Platform console, click Monitoring Alerting.
2. Click the Alerts tab. The alerts are listed, based on the filters selected.

1. Enable debug log of Curator:

   $ oc set env cronjob/curator CURATOR_LOG_LEVEL=DEBUG CURATOR_SCRIPT_LOG_LEVEL=DEBUG

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   Specify the log level:

   • CRITICAL. Curator displays only critical messages.
   • ERROR. Curator displays only error and critical messages.
   • WARNING. Curator displays only error, warning, and critical messages.
   • INFO. Curator displays only informational, error, warning, and critical messages.

   • DEBUG. Curator displays only debug messages, in addition to all of the above.

     The default value is INFO.

     Note

     Cluster logging uses the OpenShift Container Platform custom environment variable CURATOR_SCRIPT_LOG_LEVEL in OpenShift Container Platform wrapper scripts (run.sh and convert.py). The environment variable takes the same values as CURATOR_LOG_LEVEL for script debugging, as needed.

2. Trigger next curator iteration:

   $ oc create job --from=cronjob/curator <job_name>

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3. Use the following commands to control the cron job:

   • Suspend a cron job:

     $ oc patch cronjob curator -p '{"spec":{"suspend":true}}'

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   • Resume a cron job:

     $ oc patch cronjob curator -p '{"spec":{"suspend":false}}'

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   • Change a cron job schedule:

     $ oc patch cronjob curator -p '{"spec":{"schedule":"0 0 * * *"}}' 

     1

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     1

     The schedule option accepts schedules in cron format.

1. Navigate to the directory where you want to store the must-gather information.

2. Run the oc adm must-gather command against the cluster logging image:

   $ oc adm must-gather --image=$(oc -n openshift-logging get deployment.apps/cluster-logging-operator -o jsonpath='{.spec.template.spec.containers[?(@.name == "cluster-logging-operator")].image}')

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   The must-gather tool creates a new directory that starts with must-gather.local within the current directory. For example: must-gather.local.4157245944708210408.

3. Create a compressed file from the must-gather directory that was just created. For example, on a computer that uses a Linux operating system, run the following command:

   $ tar -cvaf must-gather.tar.gz must-gather.local.4157245944708210408

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4. Attach the compressed file to your support case on the Red Hat Customer Portal.