3.4. Configuring the log visualizer

Procedure

1. Edit the ClusterLogging custom resource (CR) in the openshift-logging project:

   $ oc edit ClusterLogging instance -n openshift-logging

   Copy to Clipboard Toggle word wrap

   apiVersion: "logging.openshift.io/v1"
   kind: "ClusterLogging"
   metadata:
     name: "instance"
   
   ....
   
   spec:
     managementState: "Managed"
     logStore:
       type: "elasticsearch"
       elasticsearch:
         nodeCount: 2
         resources: 

   1

   
           limits:
             memory: 2Gi
           requests:
             cpu: 200m
             memory: 2Gi
         storage:
           storageClassName: "gp2"
           size: "200G"
         redundancyPolicy: "SingleRedundancy"
     visualization:
       type: "kibana"
       kibana:
         resources: 

   2

   
           limits:
             memory: 1Gi
           requests:
             cpu: 500m
             memory: 1Gi
         proxy:
           resources: 

   3

   
             limits:
               memory: 100Mi
             requests:
               cpu: 100m
               memory: 100Mi
         replicas: 2
     curation:
       type: "curator"
       curator:
         resources: 

   4

   
           limits:
             memory: 200Mi
           requests:
             cpu: 200m
             memory: 200Mi
         schedule: "*/10 * * * *"
     collection:
       logs:
         type: "fluentd"
         fluentd:
           resources: 

   5

   
             limits:
               memory: 736Mi
             requests:
               cpu: 200m
               memory: 736Mi

   Copy to Clipboard Toggle word wrap

   1

   Specify the CPU and memory limits and requests for the log store as needed. For Elasticsearch, you must adjust both the request value and the limit value.

   2 3

   Specify the CPU and memory limits and requests for the log visualizer as needed.

   4

   Specify the CPU and memory limits and requests for the log curator as needed.

   5

   Specify the CPU and memory limits and requests for the log collector as needed.

Procedure

1. Edit the ClusterLogging custom resource (CR) in the openshift-logging project:

   $ oc edit ClusterLogging instance

   Copy to Clipboard Toggle word wrap

   $ oc edit ClusterLogging instance
   
   apiVersion: "logging.openshift.io/v1"
   kind: "ClusterLogging"
   metadata:
     name: "instance"
   
   ....
   
   spec:
       visualization:
         type: "kibana"
         kibana:
           replicas: 1 

   1

   Copy to Clipboard Toggle word wrap

   1

   Specify the number of Kibana nodes.

Procedure

1. Use the following command to add a taint to a node where you want to schedule the log visualizer pod:

   $ oc adm taint nodes <node-name> <key>=<value>:<effect>

   Copy to Clipboard Toggle word wrap

   For example:

   $ oc adm taint nodes node1 kibana=node:NoExecute

   Copy to Clipboard Toggle word wrap

   This example places a taint on node1 that has key kibana, value node, and taint effect NoExecute. You must use the NoExecute taint effect. NoExecute schedules only pods that match the taint and remove existing pods that do not match.

2. Edit the visualization section of the ClusterLogging CR to configure a toleration for the Kibana pod:

     visualization:
       type: "kibana"
       kibana:
         tolerations:
         - key: "kibana"  

   1

   
           operator: "Exists"  

   2

   
           effect: "NoExecute"  

   3

   
           tolerationSeconds: 6000 

   4

   Copy to Clipboard Toggle word wrap

   1

   Specify the key that you added to the node.

   2

   Specify the Exists operator to require the key/value/effect parameters to match.

   3

   Specify the NoExecute effect.

   4

   Optionally, specify the tolerationSeconds parameter to set how long a pod can remain bound to a node before being evicted.