K8S(15)監控實戰-ELK收集K8S內應用日誌

時間  2020-08-17
標籤 k8s 監控 實戰 elk 收集 內應 日誌 简体版
原文   原文鏈接

K8S監控實戰-ELK收集K8S內應用日誌

目錄

1 收集K8S日誌方案

K8s系統裏的業務應用是高度「動態化」的，隨着容器編排的進行，業務容器在不斷的被建立、被摧毀、被漂移、被擴縮容…java

咱們須要這樣一套日誌收集、分析的系統：node

  1. 收集 – 可以採集多種來源的日誌數據（流式日誌收集器）
  2. 傳輸 – 可以穩定的把日誌數據傳輸到中央系統（消息隊列）
  3. 存儲 – 能夠將日誌以結構化數據的形式存儲起來（搜索引擎）
  4. 分析 – 支持方便的分析、檢索方法，最好有GUI管理系統（web）
  5. 警告 – 可以提供錯誤報告，監控機制（監控系統）

1.1 傳統ELk模型缺點：

img

  1. Logstash使用Jruby語言開發，吃資源，大量部署消耗極高
  2. 業務程序與logstash耦合過鬆，不利於業務遷移
  3. 日誌收集與ES解耦又過緊，易打爆、丟數據
  4. 在容器雲環境下，傳統ELk模型難以完成工做

1.2 K8s容器日誌收集模型

img

2 製做tomcat底包

2.1 準備tomcat底包

2.1.1 下載tomcat8

cd /opt/src/
wget http://mirror.bit.edu.cn/apache/tomcat/tomcat-8/v8.5.50/bin/apache-tomcat-8.5.50.tar.gz
mkdir /data/dockerfile/tomcat
tar xf apache-tomcat-8.5.50.tar.gz -C /data/dockerfile/tomcat
cd /data/dockerfile/tomcat

2.1.2 簡單配置tomcat

刪除自帶網頁linux

rm -rf apache-tomcat-8.5.50/webapps/*

關閉AJP端口git

tomcat]# vim apache-tomcat-8.5.50/conf/server.xml
  <!-- <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" /> -->

修改日誌類型github

刪除3manager，4host-manager的handlersweb

tomcat]# vim apache-tomcat-8.5.50/conf/logging.properties
handlers = [1catalina.org.apache.juli.AsyncFileHandler](http://1catalina.org.apache.juli.asyncfilehandler/), [2localhost.org.apache.juli.AsyncFileHandler](http://2localhost.org.apache.juli.asyncfilehandler/), java.util.logging.ConsoleHandler

日誌級別改成INFOdocker

1catalina.org.apache.juli.AsyncFileHandler.level = INFO
2localhost.org.apache.juli.AsyncFileHandler.level = INFO
java.util.logging.ConsoleHandler.level = INFO

註釋全部關於3manager，4host-manager日誌的配置apache

#3manager.org.apache.juli.AsyncFileHandler.level = FINE
#3manager.org.apache.juli.AsyncFileHandler.directory = ${catalina.base}/logs
#3manager.org.apache.juli.AsyncFileHandler.prefix = manager.
#3manager.org.apache.juli.AsyncFileHandler.encoding = UTF-8
#4host-manager.org.apache.juli.AsyncFileHandler.level = FINE
#4host-manager.org.apache.juli.AsyncFileHandler.directory = ${catalina.base}/logs
#4host-manager.org.apache.juli.AsyncFileHandler.prefix = host-manager.
#4host-manager.org.apache.juli.AsyncFileHandler.encoding = UTF-8

2.2 準備docker鏡像

2.2.1 建立dockerfile

cat >Dockerfile <<'EOF'
From harbor.od.com/public/jre:8u112
RUN /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime &&\
  echo 'Asia/Shanghai' >/etc/timezone
ENV CATALINA_HOME /opt/tomcat
ENV LANG zh_CN.UTF-8
ADD apache-tomcat-8.5.50/ /opt/tomcat
ADD config.yml /opt/prom/config.yml
ADD jmx_javaagent-0.3.1.jar /opt/prom/jmx_javaagent-0.3.1.jar
WORKDIR /opt/tomcat
ADD entrypoint.sh /entrypoint.sh
CMD ["/bin/bash","/entrypoint.sh"]
EOF

2.2.2 準備dockerfile所需文件

JVM監控所需jar包json

wget  -O jmx_javaagent-0.3.1.jar https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.3.1/jmx_prometheus_javaagent-0.3.1.jar

jmx_agent讀取的配置文件bootstrap

cat >config.yml <<'EOF'
---
rules:
 - pattern: '.*'
EOF

容器啓動腳本

cat  >entrypoint.sh <<'EOF'
#!/bin/bash
M_OPTS="-Duser.timezone=Asia/Shanghai -javaagent:/opt/prom/jmx_javaagent-0.3.1.jar=$(hostname -i):${M_PORT:-"12346"}:/opt/prom/config.yml" # Pod ip:port 監控規則傳給jvm監控客戶端
C_OPTS=${C_OPTS}             # 啓動追加參數
MIN_HEAP=${MIN_HEAP:-"128m"} # java虛擬機初始化時的最小內存
MAX_HEAP=${MAX_HEAP:-"128m"} # java虛擬機初始化時的最大內存
JAVA_OPTS=${JAVA_OPTS:-"-Xmn384m -Xss256k -Duser.timezone=GMT+08  -XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -XX:CMSFullGCsBeforeCompaction=0 -XX:+CMSClassUnloadingEnabled -XX:LargePageSizeInBytes=128m -XX:+UseFastAccessorMethods -XX:+UseCMSInitiatingOccupancyOnly -XX:CMSInitiatingOccupancyFraction=80 -XX:SoftRefLRUPolicyMSPerMB=0 -XX:+PrintClassHistogram  -Dfile.encoding=UTF8 -Dsun.jnu.encoding=UTF8"}     # 年輕代，gc回收
CATALINA_OPTS="${CATALINA_OPTS}"
JAVA_OPTS="${M_OPTS} ${C_OPTS} -Xms${MIN_HEAP} -Xmx${MAX_HEAP} ${JAVA_OPTS}"
sed -i -e "1a\JAVA_OPTS=\"$JAVA_OPTS\"" -e "1a\CATALINA_OPTS=\"$CATALINA_OPTS\"" /opt/tomcat/bin/catalina.sh   
cd /opt/tomcat && /opt/tomcat/bin/catalina.sh run 2>&1 >> /opt/tomcat/logs/stdout.log # 日誌文件
EOF

2.2.3 構建docker

docker build . -t harbor.zq.com/base/tomcat:v8.5.50
docker push       harbor.zq.com/base/tomcat:v8.5.50

3 部署ElasticSearch

官網
官方github地址
下載地址
部署HDSS7-12.host.com上：

3.1 安裝ElasticSearch

3.1.1 下載二進制包

cd /opt/src
wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.8.6.tar.gz
tar xf elasticsearch-6.8.6.tar.gz -C /opt/
ln -s /opt/elasticsearch-6.8.6/ /opt/elasticsearch
cd /opt/elasticsearch

3.1.2 配置elasticsearch.yml

mkdir -p /data/elasticsearch/{data,logs}

cat >config/elasticsearch.yml <<'EOF'
cluster.name: es.zq.com
node.name: hdss7-12.host.com
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/logs
bootstrap.memory_lock: true
network.host: 10.4.7.12
http.port: 9200
EOF

3.2 優化其餘設置

3.2.1 設置jvm參數

elasticsearch]# vi config/jvm.options
# 根據環境設置，-Xms和-Xmx設置爲相同的值，推薦設置爲機器內存的一半左右
-Xms512m 
-Xmx512m

3.2.2 建立普通用戶

useradd -s /bin/bash -M es
chown -R es.es /opt/elasticsearch-6.8.6
chown -R es.es /data/elasticsearch/

3.2.3 調整文件描述符

vim /etc/security/limits.d/es.conf
es hard nofile 65536
es soft fsize unlimited
es hard memlock unlimited
es soft memlock unlimited

3.2.4 調整內核參數

sysctl -w vm.max_map_count=262144
echo "vm.max_map_count=262144" > /etc/sysctl.conf
sysctl -p

3.3 啓動ES

3.3.1 啓動es服務

]# su -c "/opt/elasticsearch/bin/elasticsearch -d" es
]# netstat -luntp|grep 9200
tcp6    0   0 10.4.7.12:9200     :::*          LISTEN   16784/java

3.3.1 調整ES日誌模板

curl -XPUT http://10.4.7.12:9200/_template/k8s -d '{
 "template" : "k8s*",
 "index_patterns": ["k8s*"], 
 "settings": {
  "number_of_shards": 5,
  "number_of_replicas": 0    # 生產爲3份副本集，本es爲單節點，不能配置副本集
 }
}'

4 部署kafka和kafka-manager

官網
官方github地址
下載地址
HDSS7-11.host.com上：

4.1 但節點安裝kafka

4.1.1 下載包

cd /opt/src
wget https://archive.apache.org/dist/kafka/2.2.0/kafka_2.12-2.2.0.tgz
tar xf kafka_2.12-2.2.0.tgz -C /opt/
ln -s /opt/kafka_2.12-2.2.0/ /opt/kafka
cd /opt/kafka

4.1.2 修改配置

mkdir /data/kafka/logs -p
cat >config/server.properties <<'EOF'
log.dirs=/data/kafka/logs
zookeeper.connect=localhost:2181    # zk消息隊列地址 
log.flush.interval.messages=10000
log.flush.interval.ms=1000
delete.topic.enable=true
host.name=hdss7-11.host.com
EOF

4.1.3 啓動kafka

bin/kafka-server-start.sh -daemon config/server.properties
]# netstat -luntp|grep 9092
tcp6    0   0 10.4.7.11:9092     :::*          LISTEN   34240/java

4.2 獲取kafka-manager的docker鏡像

官方github地址
源碼下載地址
運維主機HDSS7-200.host.com上：
kafka-manager是kafka的一個web管理頁面,非必須

4.2.1 方法一 經過dockerfile獲取

1 準備Dockerfile

cat >/data/dockerfile/kafka-manager/Dockerfile <<'EOF'
FROM hseeberger/scala-sbt

ENV ZK_HOSTS=10.4.7.11:2181 \
     KM_VERSION=2.0.0.2

RUN mkdir -p /tmp && \
    cd /tmp && \
    wget https://github.com/yahoo/kafka-manager/archive/${KM_VERSION}.tar.gz && \
    tar xxf ${KM_VERSION}.tar.gz && \
    cd /tmp/kafka-manager-${KM_VERSION} && \
    sbt clean dist && \
    unzip  -d / ./target/universal/kafka-manager-${KM_VERSION}.zip && \
    rm -fr /tmp/${KM_VERSION} /tmp/kafka-manager-${KM_VERSION}

WORKDIR /kafka-manager-${KM_VERSION}

EXPOSE 9000
ENTRYPOINT ["./bin/kafka-manager","-Dconfig.file=conf/application.conf"]
EOF

2 製做docker鏡像

cd /data/dockerfile/kafka-manager
docker build . -t harbor.od.com/infra/kafka-manager:v2.0.0.2
(漫長的過程)
docker push harbor.zq.com/infra/kafka-manager:latest

構建過程極其漫長,大機率會失敗,所以能夠經過第二種方式下載構建好的鏡像
但構建好的鏡像寫死了zk地址,要注意傳入變量修改zk地址

4.2.2 直接下載docker鏡像

鏡像下載地址

docker pull sheepkiller/kafka-manager:latest
docker images|grep kafka-manager
docker tag  4e4a8c5dabab harbor.zq.com/infra/kafka-manager:latest
docker push harbor.zq.com/infra/kafka-manager:latest

4.3 部署kafka-manager

mkdir /data/k8s-yaml/kafka-manager
cd /data/k8s-yaml/kafka-manager

4.3.1 準備dp清單

cat >deployment.yaml <<'EOF'
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: kafka-manager
  namespace: infra
  labels: 
    name: kafka-manager
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: kafka-manager
  template:
    metadata:
      labels: 
        app: kafka-manager
        name: kafka-manager
    spec:
      containers:
      - name: kafka-manager
        image: harbor.zq.com/infra/kafka-manager:latest
        ports:
        - containerPort: 9000
          protocol: TCP
        env:
        - name: ZK_HOSTS
          value: zk1.od.com:2181
        - name: APPLICATION_SECRET
          value: letmein
        imagePullPolicy: IfNotPresent
      imagePullSecrets:
      - name: harbor
      restartPolicy: Always
      terminationGracePeriodSeconds: 30
      securityContext: 
        runAsUser: 0
      schedulerName: default-scheduler
  strategy:
    type: RollingUpdate
    rollingUpdate: 
      maxUnavailable: 1
      maxSurge: 1
  revisionHistoryLimit: 7
  progressDeadlineSeconds: 600
EOF

4.3.2 準備svc資源清單

cat >service.yaml <<'EOF'
kind: Service
apiVersion: v1
metadata: 
  name: kafka-manager
  namespace: infra
spec:
  ports:
  - protocol: TCP
    port: 9000
    targetPort: 9000
  selector: 
    app: kafka-manager
EOF

4.3.3 準備ingress資源清單

cat >ingress.yaml <<'EOF'
kind: Ingress
apiVersion: extensions/v1beta1
metadata: 
  name: kafka-manager
  namespace: infra
spec:
  rules:
  - host: km.zq.com
    http:
      paths:
      - path: /
        backend: 
          serviceName: kafka-manager
          servicePort: 9000
EOF

4.3.4 應用資源配置清單

任意一臺運算節點上：

kubectl apply -f http://k8s-yaml.od.com/kafka-manager/deployment.yaml
kubectl apply -f http://k8s-yaml.od.com/kafka-manager/service.yaml
kubectl apply -f http://k8s-yaml.od.com/kafka-manager/ingress.yaml

4.3.5 解析域名

HDSS7-11.host.com上

~]# vim /var/named/zq.com.zone
km    A   10.4.7.10
~]# systemctl restart named
~]# dig -t A km.od.com @10.4.7.11 +short
10.4.7.10

4.3.6 瀏覽器訪問

http://km.zq.com

添加集羣

img

查看集羣信息

img

5 部署filebeat

官方下載地址
運維主機HDSS7-200.host.com上：

5.1 製做docker鏡像

mkdir /data/dockerfile/filebeat
cd /data/dockerfile/filebeat

5.1.1 準備Dockerfile

cat >Dockerfile <<'EOF'
FROM debian:jessie
# 若是更換版本,需在官網下載同版本LINUX64-BIT的sha替換FILEBEAT_SHA1
ENV FILEBEAT_VERSION=7.5.1 \ FILEBEAT_SHA1=daf1a5e905c415daf68a8192a069f913a1d48e2c79e270da118385ba12a93aaa91bda4953c3402a6f0abf1c177f7bcc916a70bcac41977f69a6566565a8fae9c  
RUN set -x && \
 apt-get update && \
 apt-get install -y wget && \
 wget https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-${FILEBEAT_VERSION}-linux-x86_64.tar.gz -O /opt/filebeat.tar.gz && \
 cd /opt && \
 echo "${FILEBEAT_SHA1} filebeat.tar.gz" | sha512sum -c - && \
 tar xzvf filebeat.tar.gz && \
 cd filebeat-* && \
 cp filebeat /bin && \
 cd /opt && \
 rm -rf filebeat* && \
 apt-get purge -y wget && \
 apt-get autoremove -y && \
 apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
COPY filebeat.yaml /etc/
COPY docker-entrypoint.sh /
ENTRYPOINT ["/bin/bash","/docker-entrypoint.sh"]
EOF

5.1.2 準備filebeat配置文件

cat >/etc/filebeat.yaml << EOF
filebeat.inputs:
- type: log
  fields_under_root: true
  fields:
    topic: logm-PROJ_NAME
  paths:
    - /logm/*.log
    - /logm/*/*.log
    - /logm/*/*/*.log
    - /logm/*/*/*/*.log
    - /logm/*/*/*/*/*.log
  scan_frequency: 120s
  max_bytes: 10485760
  multiline.pattern: 'MULTILINE'
  multiline.negate: true
  multiline.match: after
  multiline.max_lines: 100
- type: log
  fields_under_root: true
  fields:
    topic: logu-PROJ_NAME
  paths:
    - /logu/*.log
    - /logu/*/*.log
    - /logu/*/*/*.log
    - /logu/*/*/*/*.log
    - /logu/*/*/*/*/*.log
    - /logu/*/*/*/*/*/*.log
output.kafka:
  hosts: ["10.4.7.11:9092"]
  topic: k8s-fb-ENV-%{[topic]}
  version: 2.0.0      # kafka版本超過2.0，默認寫2.0.0 
  required_acks: 0
  max_message_bytes: 10485760
EOF

5.1.3 準備啓動腳本

cat >docker-entrypoint.sh <<'EOF'
#!/bin/bash

ENV=${ENV:-"test"}                    # 定義日誌收集的環境
PROJ_NAME=${PROJ_NAME:-"no-define」}   # 定義項目名稱
MULTILINE=${MULTILINE:-"^\d{2}"}      # 多行匹配，以2個數據開頭的爲一行，反之

# 替換配置文件中的內容
sed -i 's#PROJ_NAME#${PROJ_NAME}#g' /etc/filebeat.yaml
sed -i 's#MULTILINE#${MULTILINE}#g' /etc/filebeat.yaml
sed -i 's#ENV#${ENV}#g'             /etc/filebeat.yaml

if [[ "$1" == "" ]]; then
     exec filebeat  -c /etc/filebeat.yaml 
else
    exec "$@"
fi
EOF

5.1.4 構建鏡像

docker build . -t harbor.od.com/infra/filebeat:v7.5.1
docker push       harbor.od.com/infra/filebeat:v7.5.1

5.2 以邊車模式運行POD

5.2.1 準備資源配置清單

使用dubbo-demo-consumer的鏡像,以邊車模式運行filebeat

]# vim /data/k8s-yaml/test/dubbo-demo-consumer/deployment.yaml 
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: dubbo-demo-consumer
  namespace: test
  labels: 
    name: dubbo-demo-consumer
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: dubbo-demo-consumer
  template:
    metadata:
      labels: 
        app: dubbo-demo-consumer
        name: dubbo-demo-consumer
      annotations:
        blackbox_path: "/hello?name=health"
        blackbox_port: "8080"
        blackbox_scheme: "http"
        prometheus_io_scrape: "true"
        prometheus_io_port: "12346"
        prometheus_io_path: "/"
    spec:
      containers:
      - name: dubbo-demo-consumer
        image: harbor.zq.com/app/dubbo-tomcat-web:apollo_200513_1808
        ports:
        - containerPort: 8080
          protocol: TCP
        - containerPort: 20880
          protocol: TCP
        env:
        - name: JAR_BALL
          value: dubbo-client.jar
        - name: C_OPTS
          value: -Denv=fat -Dapollo.meta=http://config-test.zq.com
        imagePullPolicy: IfNotPresent
#--------新增內容--------
        volumeMounts:
        - mountPath: /opt/tomcat/logs
          name: logm
      - name: filebeat
        image: harbor.zq.com/infra/filebeat:v7.5.1
        imagePullPolicy: IfNotPresent
        env:
        - name: ENV
          value: test             # 測試環境
        - name: PROJ_NAME
          value: dubbo-demo-web   # 項目名
        volumeMounts:
        - mountPath: /logm        
          name: logm
      volumes:
      - emptyDir: {} #隨機在宿主機找目錄建立,容器刪除時一塊兒刪除
        name: logm
#--------新增結束--------
      imagePullSecrets:
      - name: harbor
      restartPolicy: Always
      terminationGracePeriodSeconds: 30
      securityContext: 
        runAsUser: 0
      schedulerName: default-scheduler
  strategy:
    type: RollingUpdate
    rollingUpdate: 
      maxUnavailable: 1
      maxSurge: 1
  revisionHistoryLimit: 7
  progressDeadlineSeconds: 600

5.2.2 應用資源清單

任意node節點

kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/deployment.yaml

5.2.3 驗證

瀏覽器訪問http://km.zq.com,看到kafaka-manager裏，topic打進來，即爲成功

img

進入dubbo-demo-consumer的容器中,查看logm目錄下是否有日誌

kubectl -n test exec -it dobbo...... /bin/bash
ls /logm

6 部署logstash

運維主機HDSS7-200.host.com上：

6.1 準備docker鏡像

6.1.1 下載官方鏡像

docker pull logstash:6.8.6
docker tag  d0a2dac51fcb harbor.od.com/infra/logstash:v6.8.6
docker push harbor.zq.com/infra/logstash:v6.8.6

6.1.2 準備配置文件

準備目錄

mkdir /etc/logstash/

建立test.conf

cat >/etc/logstash/logstash-test.conf <<'EOF'
input {
  kafka {
    bootstrap_servers => "10.4.7.11:9092"
    client_id => "10.4.7.200"
    consumer_threads => 4
    group_id => "k8s_test"               # 爲test組
    topics_pattern => "k8s-fb-test-.*"   # 只收集k8s-fb-test開頭的topics
  }
}

filter {
  json {
    source => "message"
  }
}

output {
  elasticsearch {
    hosts => ["10.4.7.12:9200"]
    index => "k8s-test-%{+YYYY.MM.DD}"
  }
}
EOF

建立prod.conf

cat >/etc/logstash/logstash-prod.conf <<'EOF'
input {
  kafka {
    bootstrap_servers => "10.4.7.11:9092"
    client_id => "10.4.7.200"
    consumer_threads => 4
    group_id => "k8s_prod"                   
    topics_pattern => "k8s-fb-prod-.*" 
  }
}

filter {
  json {
    source => "message"
  }
}

output {
  elasticsearch {
    hosts => ["10.4.7.12:9200"]
    index => 「k8s-prod-%{+YYYY.MM.DD}"
  }
}
EOF

6.2 啓動logstash

6.2.1 啓動測試環境的logstash

docker run -d \
    --restart=always \
    --name logstash-test \
    -v /etc/logstash:/etc/logstash  \
    -f /etc/logstash/logstash-test.conf  \
    harbor.od.com/infra/logstash:v6.8.6 

~]# docker ps -a|grep logstash

6.2.2 查看es是否接收數據

~]# curl http://10.4.7.12:9200/_cat/indices?v
health status index        uuid          pri rep docs.count docs.deleted store.size pri.store.size
green open  k8s-test-2020.01.07 mFEQUyKVTTal8c97VsmZHw  5  0     12      0   78.4kb     78.4kb

6.2.3 啓動正式環境的logstash

docker run -d \
    --restart=always \
    --name logstash-prod \
    -v /etc/logstash:/etc/logstash  \
    -f /etc/logstash/logstash-prod.conf  \
    harbor.od.com/infra/logstash:v6.8.6

7 部署Kibana

運維主機HDSS7-200.host.com上：

7.1 準備相關資源

7.1.1 準備docker鏡像

kibana官方鏡像下載地址

docker pull kibana:6.8.6
docker tag  adfab5632ef4 harbor.od.com/infra/kibana:v6.8.6
docker push harbor.zq.com/infra/kibana:v6.8.6

準備目錄

mkdir /data/k8s-yaml/kibana
cd /data/k8s-yaml/kibana

7.1.3 準備dp資源清單

cat >deployment.yaml <<'EOF'
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: kibana
  namespace: infra
  labels: 
    name: kibana
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: kibana
  template:
    metadata:
      labels: 
        app: kibana
        name: kibana
    spec:
      containers:
      - name: kibana
        image: harbor.zq.com/infra/kibana:v6.8.6
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 5601
          protocol: TCP
        env:
        - name: ELASTICSEARCH_URL
          value: http://10.4.7.12:9200
      imagePullSecrets:
      - name: harbor
      securityContext: 
        runAsUser: 0
  strategy:
    type: RollingUpdate
    rollingUpdate: 
      maxUnavailable: 1
      maxSurge: 1
  revisionHistoryLimit: 7
  progressDeadlineSeconds: 600
EOF

7.1.4 準備svc資源清單

cat >service.yaml <<'EOF'
kind: Service
apiVersion: v1
metadata: 
  name: kibana
  namespace: infra
spec:
  ports:
  - protocol: TCP
    port: 5601
    targetPort: 5601
  selector: 
    app: kibana
EOF

7.1.5 準備ingress資源清單

cat >ingress.yaml <<'EOF'
kind: Ingress
apiVersion: extensions/v1beta1
metadata: 
  name: kibana
  namespace: infra
spec:
  rules:
  - host: kibana.zq.com
    http:
      paths:
      - path: /
        backend: 
          serviceName: kibana
          servicePort: 5601
EOF

7.2 應用資源

7.2.1 應用資源配置清單

kubectl apply -f http://k8s-yaml.zq.com/kibana/deployment.yaml
kubectl apply -f http://k8s-yaml.zq.com/kibana/service.yaml
kubectl apply -f http://k8s-yaml.zq.com/kibana/ingress.yaml

7.2.2 解析域名

~]# vim /var/named/od.com.zone
kibana         A  10.4.7.10
~]# systemctl restart named
~]# dig -t A kibana.od.com @10.4.7.11 +short
10.4.7.10

7.2.3 瀏覽器訪問

訪問http://kibana.zq.com
kibana頁面

7.3 kibana的使用

kibana用法

  1. 選擇區域

    項目 用途
    @timestamp 對應日誌的時間戳
    og.file.path 對應日誌文件名
    message 對應日誌內容

  2. 時間選擇器

    選擇日誌時間

    快速時間
絕對時間
相對時間

  3. 環境選擇器
    選擇對應環境的日誌

    k8s-test-*
k8s-prod-*

  4. 項目選擇器

    • 對應filebeat的PROJ_NAME值
    • Add a fillter
    • topic is ${PROJ_NAME}
      dubbo-demo-service
      dubbo-demo-web

  5. 關鍵字選擇器 exception error

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