K8S(15)监控实战-ELK收集K8S内应用日志
K8S监控实战-ELK收集K8S内应用日志
目录
1 收集K8S日志方案
K8s系统里的业务应用是高度“动态化”的，随着容器编排的进行，业务容器在不断的被创建、被摧毁、被漂移、被扩缩容…
我们需要这样一套日志收集、分析的系统：
- 收集 – 能够采集多种来源的日志数据（流式日志收集器）
- 传输 – 能够稳定的把日志数据传输到中央系统（消息队列）
- 存储 – 可以将日志以结构化数据的形式存储起来（搜索引擎）
- 分析 – 支持方便的分析、检索方法，最好有GUI管理系统（web）
- 警告 – 能够提供错误报告，监控机制（监控系统）
1.1 传统ELk模型缺点：
- Logstash使用Jruby语言开发，吃资源，大量部署消耗极高
- 业务程序与logstash耦合过松，不利于业务迁移
- 日志收集与ES耦合又过紧，（Logstash）易打爆（ES）、丢数据
- 在容器云环境下，传统ELk模型难以完成工作
1.2 K8s容器日志收集模型
2 制作tomcat底包
2.1 准备tomcat底包
2.1.1 下载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 简单配置tomcat
删除自带网页
rm -rf apache-tomcat-8.5.50/webapps/*
关闭AJP端口
tomcat]# vim apache-tomcat-8.5.50/conf/server.xml
<!-- <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" /> -->
修改日志类型
删除3manager，4host-manager的handlers
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
日志级别改为INFO
1catalina.org.apache.juli.AsyncFileHandler.level = INFO
2localhost.org.apache.juli.AsyncFileHandler.level = INFO
java.util.logging.ConsoleHandler.level = INFO
注释所有关于3manager，4host-manager日志的配置
#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 = ${catalina.base}/logs
#4host-manager.org.apache.juli.AsyncFileHandler.prefix = host-manager.
#4host-manager.org.apache.juli.AsyncFileHandler.encoding = UTF-8
2.2 准备docker镜像
2.2.1 创建dockerfile
cat >Dockerfile <<'EOF'
From harbor.od.com/public/jre:8u112
RUN /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime &&\
echo 'Asia/Shanghai' >/etc/timezone
ENV CATALINA_HOME /opt/tomcat
ENV LANG zh_CN.UTF-8
ADD apache-tomcat-8.5.50/ /opt/tomcat
ADD config.yml /opt/prom/config.yml
ADD jmx_javaagent-0.3.1.jar /opt/prom/jmx_javaagent-0.3.1.jar
WORKDIR /opt/tomcat
ADD entrypoint.sh /entrypoint.sh
CMD ["/bin/bash","/entrypoint.sh"]
EOF
2.2.2 准备dockerfile所需文件
JVM监控所需jar包
wget -O jmx_javaagent-0.3.1.jar https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.3.1/jmx_prometheus_javaagent-0.3.1.jar
jmx_agent读取的配置文件
cat >config.yml <<'EOF'
---
rules:
- pattern: '.*'
EOF
容器启动脚本
cat >entrypoint.sh <<'EOF'
#!/bin/bash
M_OPTS="-Duser.timezone=Asia/Shanghai -javaagent:/opt/prom/jmx_javaagent-0.3.1.jar=$(hostname -i):${M_PORT:-"12346"}:/opt/prom/config.yml" # Pod ip:port 监控规则传给jvm监控客户端
C_OPTS=${C_OPTS} # 启动追加参数
MIN_HEAP=${MIN_HEAP:-"128m"} # java虚拟机初始化时的最小内存
MAX_HEAP=${MAX_HEAP:-"128m"} # java虚拟机初始化时的最大内存
JAVA_OPTS=${JAVA_OPTS:-"-Xmn384m -Xss256k -Duser.timezone=GMT+08 -XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -XX:CMSFullGCsBeforeCompaction=0 -XX:+CMSClassUnloadingEnabled -XX:LargePageSizeInBytes=128m -XX:+UseFastAccessorMethods -XX:+UseCMSInitiatingOccupancyOnly -XX:CMSInitiatingOccupancyFraction=80 -XX:SoftRefLRUPolicyMSPerMB=0 -XX:+PrintClassHistogram -Dfile.encoding=UTF8 -Dsun.jnu.encoding=UTF8"} # 年轻代，gc回收
CATALINA_OPTS="${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 # 日志文件
EOF
2.2.3 构建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
官网
官方github地址
下载地址
部署HDSS7-12.host.com上：
3.1 安装ElasticSearch
3.1.1 下载二进制包
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 优化其他设置
3.2.1 设置jvm参数
elasticsearch]# vi config/jvm.options
# 根据环境设置，-Xms和-Xmx设置为相同的值，推荐设置为机器内存的一半左右
-Xms512m
-Xmx512m
3.2.2 创建普通用户
useradd -s /bin/bash -M es
chown -R es.es /opt/elasticsearch-6.8.6
chown -R es.es /data/elasticsearch/
3.2.3 调整文件描述符
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 调整内核参数
sysctl -w vm.max_map_count=262144
echo "vm.max_map_count=262144" > /etc/sysctl.conf
sysctl -p
3.3 启动ES
3.3.1 启动es服务
]# 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 调整ES日志模板
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 # 生产为3份副本集，本es为单节点，不能配置副本集
}
}'
4 部署kafka和kafka-manager
官网
官方github地址
下载地址
HDSS7-11.host.com上：
4.1 但节点安装kafka
4.1.1 下载包
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消息队列地址
log.flush.interval.messages=10000
log.flush.interval.ms=1000
delete.topic.enable=true
host.name=hdss7-11.host.com
EOF
4.1.3 启动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 获取kafka-manager的docker镜像
官方github地址
源码下载地址
运维主机HDSS7-200.host.com上：
kafka-manager是kafka的一个web管理页面,非必须
4.2.1 方法一 通过dockerfile获取
1 准备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 制作docker镜像
cd /data/dockerfile/kafka-manager
docker build . -t harbor.od.com/infra/kafka-manager:v2.0.0.2
(漫长的过程)
docker push harbor.zq.com/infra/kafka-manager:latest
构建过程极其漫长,大概率会失败,因此可以通过第二种方式下载构建好的镜像
但构建好的镜像写死了zk地址,要注意传入变量修改zk地址
4.2.2 直接下载docker镜像
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 准备dp清单
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 准备svc资源清单
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 准备ingress资源清单
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 应用资源配置清单
任意一台运算节点上：
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 浏览器访问
添加集群
查看集群信息
5 部署filebeat
官方下载地址
运维主机HDSS7-200.host.com上：
5.1 制作docker镜像
mkdir /data/dockerfile/filebeat
cd /data/dockerfile/filebeat
5.1.1 准备Dockerfile
cat >Dockerfile <<'EOF'
FROM debian:jessie
# 如果更换版本,需在官网下载同版本LINUX64-BIT的sha替换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 准备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版本超过2.0，默认写2.0.0
required_acks: 0
max_message_bytes: 10485760
EOF
5.1.3 准备启动脚本
cat >docker-entrypoint.sh <<'EOF'
#!/bin/bash
ENV=${ENV:-"test"} # 定义日志收集的环境
PROJ_NAME=${PROJ_NAME:-"no-define”} # 定义项目名称
MULTILINE=${MULTILINE:-"^\d{2}"} # 多行匹配，以2个数据开头的为一行，反之
# 替换配置文件中的内容
sed -i 's#PROJ_NAME#${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 构建镜像
docker build . -t harbor.od.com/infra/filebeat:v7.5.1
docker push harbor.od.com/infra/filebeat:v7.5.1
5.2 以边车模式运行POD
5.2.1 准备资源配置清单
使用dubbo-demo-consumer的镜像,以边车模式运行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
#--------新增内容--------
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 # 测试环境
- name: PROJ_NAME
value: dubbo-demo-web # 项目名
volumeMounts:
- mountPath: /logm
name: logm
volumes:
- emptyDir: {} #随机在宿主机找目录创建,容器删除时一起删除
name: logm
#--------新增结束--------
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 应用资源清单
任意node节点
kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/deployment.yaml
5.2.3 验证
浏览器访问http://km.zq.com,看到kafaka-manager里，topic打进来，即为成功
进入dubbo-demo-consumer的容器中,查看logm目录下是否有日志
kubectl -n test exec -it dobbo...... -c filebeat /bin/bash
ls /logm
# -c参数指定pod中的filebeat容器
# /logm是filebeat容器挂载的目录
6 部署logstash
运维主机HDSS7-200.host.com上：
6.1 准备docker镜像
6.1.1 下载官方镜像
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 准备配置文件
准备目录
mkdir /etc/logstash/
创建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" # 为test组
topics_pattern => "k8s-fb-test-.*" # 只收集k8s-fb-test开头的topics
}
}
filter {
json {
source => "message"
}
}
output {
elasticsearch {
hosts => ["10.4.7.12:9200"]
index => "k8s-test-%{+YYYY.MM.DD}"
}
}
EOF
创建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 启动logstash
6.2.1 启动测试环境的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是否接收数据
~]# 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 启动正式环境的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
运维主机HDSS7-200.host.com上：
7.1 准备相关资源
7.1.1 准备docker镜像
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
准备目录
mkdir /data/k8s-yaml/kibana
cd /data/k8s-yaml/kibana
7.1.3 准备dp资源清单
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 准备svc资源清单
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 准备ingress资源清单
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 应用资源
7.2.1 应用资源配置清单
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 浏览器访问
访问http://kibana.zq.com
7.3 kibana的使用
-
选择区域
项目 用途 @timestamp 对应日志的时间戳 og.file.path 对应日志文件名 message 对应日志内容 -
时间选择器
选择日志时间
快速时间 绝对时间 相对时间 -
环境选择器
选择对应环境的日志k8s-test-* k8s-prod-* -
项目选择器
- 对应filebeat的PROJ_NAME值
- Add a fillter
- topic is ${PROJ_NAME}
dubbo-demo-service
dubbo-demo-web
-
关键字选择器
exception
error
