kubernetes 集群利用 efk 收集容器日志-阿里云开发者社区

前情提要

本实验环境信息如下：

本次实验使用的镜像非 efk 自身的镜像，利用统一编译的 centos 镜像加上 gfs 持久化存储，将 efk 二进制文件挂载到容器内使用
本次实验依赖 gfs 持久化，关于 gfs 的使用和部署，可以参考我之前的文档 Kubernetes 集群使用 GlusterFS 作为数据持久化存储
k8s 版本：v1.23.17
docker 版本：19.03.9
efk 版本：7.9.2 （elasticsearch+filebeat+kibana）

制作 centos 基础镜像

为什么要使用统一的centos镜像

因为大部分镜像为了空间小，刨去了很多的工具，很大程度上影响了容器内的一些问题排查，尤其是网络层面，为了能安装更多自己需要的工具

如果需要针对一些组件升级，就可以只替换二进制文件，不需要修改镜像和维护镜像了

编写 dockerfile

FROM centos:7
ENV LANG=C.UTF-8
ENV TZ "Asia/Shanghai"
ENV PS1 "\[\e[7;34m\]\u@\h\[\e[0m\]\[\e[0;35m\]:$(pwd) \[\e[0m\]\[\e[0;35m\]\t\[\e[0m\]\n\[\e[0;32m\]> \[\e[0m\]"
# 让容器识别中文
RUN echo LANG='C.UTF-8' > /etc/locale.conf && \
    localedef -c -f UTF-8 -i zh_CN C.UTF-8
# 将官方的源替换成清华源
## 安装一些可能用得到的调试工具
RUN sed -e 's|^mirrorlist=|#mirrorlist=|g' \
        -e 's|^#baseurl=http://mirror.centos.org/centos|baseurl=https://mirrors.tuna.tsinghua.edu.cn/centos|g' \
        -i.bak /etc/yum.repos.d/CentOS-*.repo && \
    yum install -y telnet \
                   unzip \
                   wget \
                   curl \
                   nmap-ncat \
                   vim \
                   net-tools \
                   tree \
                   bind-utils \
                   jq \
                   dig \
                   less \
                   more && yum clean all && \
    alias ll='ls -lh' && \
    alias tailf='tail -f'

构建镜像

docker build -t centos7:base_v1.0 .

准备 efk 二进制文件

Past Releases

打开上面的地址，在Products里面分别输入elasticsearch，filebeat、kibana，在Version里面输入自己需要的版本号就可以下载了

需要自己准备 java 8，去 oracle 官网就可以下载

# 这里选了一个官方不带 jdk 的 es，因为我这边要是用 java 8，不带 jdk 的 es 可以节省 150M 的空间
wget -c https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.9.2-no-jdk-linux-x86_64.tar.gz
wget -c https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.9.2-linux-x86_64.tar.gz
wget -c https://artifacts.elastic.co/downloads/kibana/kibana-7.9.2-linux-x86_64.tar.gz
# 这个是 kibana 的一个插件，可以实时查看容器的尾部日志
wget -c https://github.com/sivasamyk/logtrail/releases/download/v0.1.31/logtrail-7.9.2-0.1.31.zip

我是利用 gfs 做的持久化，所以，这些二进制文件下载好以后，都会提前先解压出来（除了 kibana 和 logtrail 不需要解压，其他的都需要解压）

部署 efk 组件

以下只提供 yaml 文件，大家自己按照下面的顺序整理，然后依次 apply 即可

配置 namespace

---
apiVersion: v1
kind: Namespace
metadata:
  annotations:
  labels:
  name: journal

配置 gfs 的 endpoints

这块大家以自己实际的架构为准，这里是为了让 k8s 集群可以连接 gfs 开放的端点
如果和我一样用的 gfs，注意修改 addresses 下面的 ip，以自己实际的为准

---
apiVersion: v1
kind: Endpoints
metadata:
  annotations:
  name: glusterfs
  namespace: journal
subsets:
# gfs 服务端的地址，要修改成自己的
- addresses:
  - ip: 172.72.0.96
  - ip: 172.72.0.98
  ports:
  - port: 49152
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  annotations:
  name: glusterfs
  namespace: journal
spec:
  ports:
  - port: 49152
    protocol: TCP
    targetPort: 49152
  sessionAffinity: None
  type: ClusterIP

配置 pv 和 pvc

pv

---
apiVersion: v1
kind: PersistentVolume
metadata:
  annotations:
  labels:
    package: journal
  name: journal-software-pv
spec:
  accessModes:
  - ReadOnlyMany
  capacity:
    storage: 10Gi
  glusterfs:
    endpoints: glusterfs
    path: online-share/kubernetes_data/software/
    readOnly: false
  persistentVolumeReclaimPolicy: Retain

pvc

---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  annotations:
  labels:
    package: journal
  name: journal-software-pvc
  namespace: journal
spec:
  accessModes:
  - ReadOnlyMany
  resources:
    requests:
      storage: 10Gi
  selector:
    matchLabels:
      package: journal

创建完 pvc 后，需要确认一下 pvc 是否为 Bound 状态

部署 elasticsearch

efk-cm

---
apiVersion: v1
data:
  elasticsearch.yml: |-
    cluster.name: efk-es
    cluster.max_shards_per_node: 20000
    node.attr.rack: ${NODE_NAME}
    path.data: ${DATA_DIR}
    path.logs: ${LOG_DIR}
    network.host: 0.0.0.0
    http.port: 9200
    cluster.initial_master_nodes: ["es-0"]
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    xpack.security.enabled: false
    node.name: ${POD_NAME}
    node.master: true
    node.data: true
    transport.tcp.port: 9300
    discovery.zen.minimum_master_nodes: 2
    discovery.zen.ping.unicast.hosts: ["es-0.es-svc.journal.svc.cluster.local:9300","es-1.es-svc.journal.svc.cluster.local:9300","es-2.es-svc.journal.svc.cluster.local:9300"]
  start.sh: |-
    #!/bin/bash
    set -x
    export ES_JAVA_OPTS="-Xmx${JAVA_OPT_XMX} -Xms${JAVA_OPT_XMS} -Xss512k -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=45 -Djava.io.tmpdir=/tmp -Dsun.net.inetaddr.ttl=10 -Xloggc:${LOG_DIR}/gc.log"
    CONFIG_FILE=(jvm.options log4j2.properties role_mapping.yml)
    for FILENAME in ${CONFIG_FILE[@]}
    do
      cat ${ES_HOME}/config/${FILENAME} > ${ES_PATH_CONF}/${FILENAME}
    done
    cp ${CONFIG_MAP_DIR}/elasticsearch.yml ${ES_PATH_CONF}/
    ${ES_HOME}/bin/elasticsearch
  init.sh: |-
    #!/bin/bash
    set -x
    mkdir -p ${LOG_DIR} ${DATA_DIR}
    chown 1000 -R ${LOG_DIR}
    chown 1000 -R ${DATA_DIR}
kind: ConfigMap
metadata:
  annotations:
  labels:
  name: es-cm
  namespace: journal

efk-svc

---
apiVersion: v1
kind: Service
metadata:
  annotations:
  labels:
    app: es
  name: es-svc
  namespace: journal
spec:
  clusterIP: None
  ports:
  - name: tcp
    port: 9300
    targetPort: 9300
  - name: http
    port: 9200
    targetPort: 9200
  selector:
    app: es

efk-sts

在 apply 之前记得先给节点打上 label，在 yaml 文件里面配置了亲和性，需要节点有 es= 这个 label 才会调度

---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  annotations:
  labels:
    app: es
  name: es
  namespace: journal
spec:
  replicas: 3
  selector:
    matchLabels:
      app: es
  serviceName: es-svc
  template:
    metadata:
      labels:
        app: es
    spec:
      # 因为用的是 hostpath 做 es 的数据持久化，这里做了一个亲和性
      ## nodeAffinity 是为了把 pod 绑定到指定的节点上
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: es
                operator: Exists
        ## podAntiAffinity 是为了一个节点上只能出现一个副本
        podAntiAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
              - key: app
                operator: In
                values:
                - es
            topologyKey: kubernetes.io/hostname
      containers:
      - command:
        - /bin/bash
        - -c
        - sh $CONFIG_MAP_DIR/start.sh
        env:
        - name: APP_NAME
          value: es
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: DATA_DIR
          value: /efk/es/data
        - name: LOG_DIR
          value: /efk/es/logs
        - name: ES_PATH_CONF
          value: /efk/es/conf
        - name: CONFIG_MAP_DIR
          value: /efk/es/configmap
        - name: ES_HOME
          value: /appdata/software/elasticsearch-7.9.2
        - name: JAVA_HOME
          value: /appdata/software/jdk1.8.0_231
        - name: JAVA_OPT_XMS
          value: 256M
        - name: JAVA_OPT_XMX
          value: 256M
        image: centos7:base_v1.0
        imagePullPolicy: IfNotPresent
        livenessProbe:
          failureThreshold: 60
          initialDelaySeconds: 5
          periodSeconds: 10
          successThreshold: 1
          tcpSocket:
            port: tcp
          timeoutSeconds: 1
        name: es
        ports:
        - containerPort: 9300
          name: tcp
        - containerPort: 9200
          name: http
        readinessProbe:
          failureThreshold: 60
          initialDelaySeconds: 5
          periodSeconds: 10
          successThreshold: 1
          tcpSocket:
            port: tcp
          timeoutSeconds: 1
        securityContext:
          runAsUser: 1000
        volumeMounts:
        - mountPath: /efk/es/data
          name: data
        - mountPath: /efk/es/logs
          name: logs
        - mountPath: /efk/es/configmap
          name: configmap
        - mountPath: /efk/es/conf
          name: conf
        - mountPath: /appdata/software
          name: software
          readOnly: true
      initContainers:
      - command:
        - /bin/sh
        - -c
        - . ${CONFIG_MAP_DIR}/init.sh
        env:
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: DATA_DIR
          value: /efk/es/data
        - name: LOG_DIR
          value: /efk/es/log
        - name: ES_PATH_CONF
          value: /efk/es/conf
        - name: ES_HOME
          value: /appdata/software/elasticsearch-7.9.2
        - name: CONFIG_MAP_DIR
          value: /efk/es/configmap
        image: centos7:base_v1.0
        name: init
        volumeMounts:
        - mountPath: /efk/es/data
          name: data
        - mountPath: /efk/es/logs
          name: logs
        - mountPath: /efk/es/configmap
          name: configmap
      terminationGracePeriodSeconds: 0
      volumes:
      - hostPath:
          path: /data/k8s_data/es
          type: DirectoryOrCreate
        name: data
      - emptyDir: {}
        name: logs
      - emptyDir: {}
        name: conf
      - configMap:
          name: es-cm
        name: configmap
      - name: software
        persistentVolumeClaim:
          claimName: journal-software-pvc

依次 apply 之后，可以通过下面的命令进行验证

kubectl get pod -n journal -o wide

这边是起了三个副本

NAME   READY   STATUS    RESTARTS   AGE   IP            NODE          NOMINATED NODE   READINESS GATES
es-0   1/1     Running   0          75s   172.30.1.78   172.72.0.96   <none>           <none>
es-1   1/1     Running   0          54s   172.30.0.17   172.72.0.98   <none>           <none>
es-2   1/1     Running   0          33s   172.30.2.16   172.72.0.95   <none>           <none>

可以通过 pod ip 来访问 es 集群

curl 172.30.1.78:9200/_cat/nodes

pod ip 和 pod 名字也是一一对应的

172.30.2.16 51 96 9 0.74 0.52 0.36 dilmrt - es-2
172.30.0.17 53 66 8 0.39 0.45 0.33 dilmrt - es-1
172.30.1.78 37 68 7 0.16 0.32 0.24 dilmrt * es-0

部署 filebeat

filebeat-cm

---
apiVersion: v1
data:
  filebeat.yaml: |-
    filebeat.inputs:
    - type: container
      # stream: stdout
      encoding: utf-8
      paths:
        - /var/log/pods/*/*/*.log
      tail_files: true
      # 将error日志合并到一行
      multiline.pattern: '^([0-9]{4}|[0-9]{2})-[0-9]{2}'
      multiline.negate: true
      multiline.match: after
      multiline.timeout: 10s
    # 设置条件
    logging.level: warning
    logging.json: true
    logging.metrics.enabled: false
    output.elasticsearch:
      hosts: ["${ES_URL}"]
      indices:
        - index: "journal-center-%{+yyyy.MM.dd}"
      pipeline: k8s_pipeline
  k8s_pipeline.json: |-
    {
        "description": "解析k8s container日志",
        "processors": [
        {
            "grok":
            {
                "field": "log.file.path",
                "patterns": [
                    "/var/log/pods/%{DATA:namespace}_%{DATA:pod_name}_.*/%{DATA:container_name}/.*"
                ],
                "ignore_missing": true,
                "pattern_definitions":
                {
                    "GREEDYMULTILINE": "(.|\n)*"
                }
            },
            "remove":
            {
                "field": "log.file.path"
            }
        }],
        "on_failure": [
        {
            "set":
            {
                "field": "error.message",
                "value": "{{ _ingest.on_failure_message }}"
            }
        }]
    }
  startFilebeat.sh: |
    #!/bin/bash
    set -ex
    DIR="$( cd "$( dirname "$0" )" && pwd )"
    LOG_DIR=/appdata/logs/${NAMESPACE}/${APP_NAME}
    DATA_DIR=/appdata/data/${NAMESPACE}/${APP_NAME}
    mkdir -p $LOG_DIR $DATA_DIR
    curl -H 'Content-Type: application/json' -XPUT http://${ES_URL}/_ingest/pipeline/k8s_pipeline -d@${DIR}/k8s_pipeline.json
    $FILEBEAT_HOME/filebeat -e -c $DIR/filebeat.yaml --path.data $DATA_DIR --path.logs $LOG_DIR
kind: ConfigMap
metadata:
  annotations:
  labels:
    package: filebeat
  name: filebeat-cm
  namespace: journal

filebeat-ds

---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  annotations:
  labels:
    app: filebeat
  name: filebeat
  namespace: journal
spec:
  selector:
    matchLabels:
      app: filebeat
  template:
    metadata:
      labels:
        app: filebeat
    spec:
      containers:
      - command:
        - /bin/bash
        - /appdata/init/filebeat/startFilebeat.sh
        env:
        - name: APP_NAME
          value: filebeat-pod
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: ES_URL
          value: es-0.es-svc.journal.svc.cluster.local:9200
        - name: FILEBEAT_HOME
          value: /appdata/software/filebeat-7.9.2-linux-x86_64
        image: centos7:base_v1.0
        imagePullPolicy: IfNotPresent
        name: filebeat
        volumeMounts:
        - mountPath: /appdata/init/filebeat
          name: init
        - mountPath: /appdata/software
          name: software
          readOnly: true
        - mountPath: /var/log/pods
          name: pod-logs
          readOnly: true
        - mountPath: /data/crt-data/containers
          name: container-log
          readOnly: true
      terminationGracePeriodSeconds: 0
      volumes:
      - name: software
        persistentVolumeClaim:
          claimName: journal-software-pvc
      - configMap:
          name: filebeat-cm
        name: init
      - hostPath:
          path: /var/log/pods
        name: pod-logs
      - hostPath:
          path: /data/crt-data/containers
        name: container-log

验证索引的创建

这里的 ip 记得换成自己的 es ip

curl -s -XGET 172.30.1.78:9200/_cat/indices | grep 'journal-center'

返回类似如下的信息

不一定会立刻生成，具体要看实际的环境是否有 pod 产生日志，需要等一会再看看

green open journal-center-2023.08.03        J-Ylys9ES2CGovXrYwjCsg 1 1 7 0 129kb 70.8kb

部署 kibana

kibana-cm

---
apiVersion: v1
data:
  kibana.yml: |-
    server.port: 5601
    server.host: "0.0.0.0"
    elasticsearch.hosts: ["http://${ES_URL}"]
    pid.file: ${DATA_DIR}/kibana.pid
    i18n.locale: "zh-CN"
    path.data: ${DATA_DIR}
    xpack.infra.enabled: false
    xpack.logstash.enabled: false
    logging.quiet: true
  startKibana.sh: |
    #!/bin/bash
    set -ex
    DIR="$( cd "$( dirname "$0" )" && pwd )"
    mkdir -p $LOG_DIR $DATA_DIR ${APP_HOME}
    [[ -d "${KIBANA_HOME}" ]] || tar xf /appdata/software/kibana-7.9.2-linux-x86_64.tar.gz -C ${APP_HOME}
    ${KIBANA_HOME}/bin/kibana-plugin install file:///appdata/software/logtrail-7.9.2-0.1.31.zip
    # 创建 logtrail 使用的索引
    curl -XPUT "${ES_URL}/.logtrail/config/1?pretty" -H 'Content-Type: application/json' -d '
    {
      "version" : 2,
      "index_patterns" : [
        {
          "es": {
            "default_index": "journal-center-*"
          },
          "tail_interval_in_seconds": 10,
          "es_index_time_offset_in_seconds": 0,
          "display_timezone": "local",
          "display_timestamp_format": "MM-DD HH:mm:ss",
          "max_buckets": 500,
          "default_time_range_in_days" : 0,
          "max_hosts": 100,
          "max_events_to_keep_in_viewer": 5000,
          "default_search": "",
          "fields" : {
            "mapping" : {
                "timestamp" : "@timestamp",
                "message": "message"
            },
            "message_format": "[{{{namespace}}}].[{{{pod_name}}}].[{{{container_name}}}] {{{message}}}",
            "keyword_suffix" : "keyword"
          },
          "color_mapping" : {
          }
        }
      ]
    }'
    # 配置索引生命周期，保留三天的日志
    curl -XPUT "${ES_URL}/_ilm/policy/journal-center_policy?pretty" -H 'Content-Type: application/json' -d '
    {
      "policy": {
        "phases": {
          "delete": {
            "min_age": "3d",
            "actions": {
              "delete": {}
            }
          }
        }
      }
    }'
    # 配置索引的分片和副本数
    curl -XPUT "${ES_URL}/_template/journal-center_template?pretty" -H 'Content-Type: application/json' -d '
    {
      "index_patterns": ["journal-center-*"],
      "settings": {
        "number_of_shards": 1,
        "number_of_replicas": 1,
        "index.lifecycle.name": "journal-center_policy"
      }
    }'
    # 应用到现有的多个索引中
    curl -XPUT "${ES_URL}/journal-center-*/_settings?pretty" -H 'Content-Type: application/json' -d '
    {
      "index": {
        "lifecycle": {
          "name": "journal-center_policy"
        }
      }
    }'
    ${KIBANA_HOME}/bin/kibana -c ${DIR}/kibana.yml
kind: ConfigMap
metadata:
  annotations:
  labels:
    app: kibana
  name: kibana-cm
  namespace: journal

kibana-svc

---
apiVersion: v1
kind: Service
metadata:
  annotations:
  labels:
    app: kibana
  name: kibana-svc
  namespace: journal
spec:
  ports:
  - name: kibanaweb
    port: 5601
    protocol: TCP
    targetPort: 5601
  selector:
    app: kibana

kibana-dp

---
apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
  labels:
    app: kibana
  name: kibana
  namespace: journal
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kibana
  template:
    metadata:
      labels:
        app: kibana
    spec:
      containers:
      - command:
        - /bin/bash
        - /appdata/init/kibana/startKibana.sh
        env:
        - name: APP_NAME
          value: kibana
        - name: NODE_NAME
          valueFrom:
            fieldRef:
              fieldPath: spec.nodeName
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        - name: ES_URL
          value: es-0.es-svc.journal.svc.cluster.local:9200
        - name: KIBANA_HOME
          value: /kibana/kibana-7.9.2-linux-x86_64
        - name: APP_HOME
          value: /kibana
        - name: LOG_DIR
          value: /appdata/kibana/logs
        - name: DATA_DIR
          value: /appdata/kibana/data
        image: centos7:base_v1.0
        livenessProbe:
          failureThreshold: 60
          initialDelaySeconds: 5
          periodSeconds: 20
          successThreshold: 1
          tcpSocket:
            port: kibanaweb
          timeoutSeconds: 1
        name: kibana
        ports:
        - containerPort: 5601
          name: kibanaweb
          protocol: TCP
        readinessProbe:
          failureThreshold: 60
          initialDelaySeconds: 5
          periodSeconds: 20
          successThreshold: 1
          tcpSocket:
            port: kibanaweb
          timeoutSeconds: 1
        securityContext:
          runAsUser: 1000
        volumeMounts:
        - mountPath: /appdata/init/kibana
          name: init
        - mountPath: /appdata/software
          name: software
          readOnly: true
        - mountPath: /appdata/kibana
          name: kibanas
        - mountPath: /kibana
          name: kibanainstall
      terminationGracePeriodSeconds: 0
      volumes:
      - name: software
        persistentVolumeClaim:
          claimName: journal-software-pvc
      - configMap:
          name: kibana-cm
        name: init
      - emptyDir: {}
        name: kibanas
      - emptyDir: {}
        name: kibanainstall

关于 kibana 的访问，这边提供两种方式供大家选择

使用 nodeport 访问 kibana

nodeport-kibana-svc

---
apiVersion: v1
kind: Service
metadata:
  annotations:
  labels:
    app: kibana
  name: kibana-nodeport-svc
  namespace: journal
spec:
  type: NodePort
  ports:
  - name: kibanaweb
    port: 5601
    protocol: TCP
    targetPort: 5601
    nodePort: 30007
  selector:
    app: kibana

apply 之后，就可以使用任一节点的 ip 加上 30007 去访问 kibana 的界面

使用 ingress 的方式

使用 ingress 需要先部署 ingress-controller ，我这边使用的是 nginx-ingress-controller，具体部署可以参考我另一篇博客：

kubernetes 部署 nginx-ingress-controller

ingress yaml

---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  annotations:
    kubernetes.io/ingress.class: nginx
  name: ingress-journal
  namespace: journal
spec:
  rules:
  # host 字段不写，表示使用 ip 访问
  ## host 字段可以写域名，如果没有 dns 解析，可以本地做 hosts 来验证
  - host: logs.study.com
    http:
      paths:
      - backend:
          service:
            name: kibana-svc
            port:
              number: 5601
        path: /
        pathType: Prefix

找到导航栏的 logtrail，然后在输入框输入 pod_name: “<pod名字>” 来看指定容器的日志

kubernetes 集群利用 efk 收集容器日志

前情提要

制作 centos 基础镜像

准备 efk 二进制文件

部署 efk 组件

配置 namespace

配置 gfs 的 endpoints

配置 pv 和 pvc

部署 elasticsearch

efk-cm

efk-svc

efk-sts

部署 filebeat

filebeat-cm

filebeat-ds

部署 kibana

kibana-cm

kibana-svc

kibana-dp

使用 nodeport 访问 kibana

nodeport-kibana-svc

使用 ingress 的方式

ingress yaml

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kubernetes 集群利用 efk 收集容器日志

前情提要

制作 centos 基础镜像

准备 efk 二进制文件

部署 efk 组件

配置 namespace

配置 gfs 的 endpoints

配置 pv 和 pvc

部署 elasticsearch

efk-cm

efk-svc

efk-sts

部署 filebeat

filebeat-cm

filebeat-ds

部署 kibana

kibana-cm

kibana-svc

kibana-dp

使用 nodeport 访问 kibana

nodeport-kibana-svc

使用 ingress 的方式

ingress yaml

热门文章

最新文章

相关课程

相关电子书

推荐镜像