4.4. 配置日志可视化工具

流程

1. 编辑 openshift-logging 项目中的 ClusterLogging 自定义资源（CR）：

   $ oc -n openshift-logging edit ClusterLogging instance

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   apiVersion: "logging.openshift.io/v1"
   kind: "ClusterLogging"
   metadata:
     name: "instance"
     namespace: openshift-logging
   
   ...
   
   spec:
     managementState: "Managed"
     logStore:
       type: "elasticsearch"
       elasticsearch:
         nodeCount: 3
         resources: 

   1

   
           limits:
             memory: 16Gi
           requests:
             cpu: 200m
             memory: 16Gi
         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
     collection:
       logs:
         type: "fluentd"
         fluentd:
           resources: 

   4

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

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   1

   根据需要指定日志存储的 CPU 和内存限值及请求。对于 Elasticsearch，您必须调整请求值和限制值。

   2 3

   根据需要为日志 visualizer 指定 CPU 和内存限值和请求。

   4

   根据需要指定日志收集器的 CPU 和内存限值及请求。

流程

1. 编辑 openshift-logging 项目中的 ClusterLogging 自定义资源（CR）：

   $ oc edit ClusterLogging instance

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

   1

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   1

   指定 Kibana 节点的数量。