k8s 日志收集方案
三种收集方案的优缺点：
日志收集环境：
k8s日志收集架构
k8s日志收集所用到的安装包及软件：
链接：https://pan.baidu.com/s/1G8XB6dKP8nmgcGNdup_j6g?pwd=vpwu
提取码：vpwu
1、elasticsearch安装配置
1.1 es安装
ip:192.168.75.170
rpm -ivh elasticsearch-7.6.2-x86_64.rpm
1.2 es配置
[root@es es]# cat /etc/elasticsearch/elasticsearch.yml| grep -v "#"
cluster.name: log-cluster1
node.name: node-1
path.data: /var/lib/elasticsearch
path.logs: /var/log/elasticsearch
network.host: 192.168.75.170
http.port: 9200
discovery.seed_hosts: ["192.168.75.170"]
cluster.initial_master_nodes: ["node-1"]
action.destructive_requires_name: true
http.cors.enabled: true
http.cors.allow-origin: "*"
1.3 启动es
systemctl daemon-reload
systemctl enable elasticsearch
systemctl start elasticsearch
systemctl status elasticsearch
2、kibana安装配置
2.1 kibana安装
ip：192.168.75.171
rpm -ivh kibana-7.6.2-x86_64.rpm
2.2 kibana配置
[root@kinaba ~]# cat /etc/kibana/kibana.yml | grep -Ev "^#|^$"
server.port: 5601
server.host: "192.168.75.171"
server.name: "kibana"
elasticsearch.hosts: ["http://192.168.75.170:9200"]
2.3 启动kibana
systemctl enable kibana
systemctl start kibana
systemctl status kibana
3、zookeeper安装配置
3.1 zookeeper安装
ip:192.168.75.173
mkdir /usr/local/java
tar xf jdk-8u171-linux-x64.tar.gz -C /usr/local/java/
vim /etc/profile #配置环境变量,添加下面几行
export JAVA_HOME=/usr/local/java/jdk1.8.0_171
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:$PATH
source /etc/profile
java -version
下载安装包，下载地址：https://zookeeper.apache.org/releases.html
wget https://dlcdn.apache.org/zookeeper/zookeeper-3.6.3/apache-zookeeper-3.6.3-bin.tar.gz
mkdir /apps
tar xf apache-zookeeper-3.6.3-bin.tar.gz -C /apps/ && cd /apps
ln -s apache-zookeeper-3.6.3-bin zookeeper
修改zookeeper配置
mkdir -p /data/zookeeper/{data,logs}
cd /apps/zookeeper/
cp conf/zoo_sample.cfg conf/zoo.cfg
cat conf/zoo.cfg
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/zookeeper/data
dataLogDir=/data/zookeeper/logs
clientPort=2181
server.0=192.168.75.173:2288:3388
echo 0 >/data/zookeeper/data/myid #此处myid在3个节点分别为0,1,2
3.2 启动zookeeper
cat /etc/systemd/system/zookeeper.service
[Unit]
Description=zookeeper.service
After=network.target
[Service]
Type=forking
ExecStart=/apps/zookeeper/bin/zkServer.sh start
ExecStop=/apps/zookeeper/bin/zkServer.sh stop
ExecReload=/apps/zookeeper/bin/zkServer.sh restart
[Install]
WantedBy=multi-user.target
system daemon reload
systemctl restart zookeeper
systemctl status zookeeper
3.3 检查zookeeper状态
[root@kafka ~]# /apps/zookeeper/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /apps/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: standalone
4、kafka安装配置
4.1 kafka安装
和zookeeper部署在相同的主机，下载安装包，下载地址：https://kafka.apache.org/downloads
wget https://archive.apache.org/dist/kafka/3.2.1/kafka_2.12-3.2.1.tgz
tar xf kafka_2.12-3.2.1.tgz -C /apps/ && cd /apps
ln -s kafka_2.12-3.2.1 kafka
4.2 配置kafka
mkdir -p /data/kafka/kafka-logs
cd /app/kafka
vim config/server.properties
broker.id=0 #修改id，3个节点分别为0、1、2
listeners=PLAINTEXT://192.168.75.173:9092 #修改监听地址为本机地址
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=102400
socket.receive.buffer.bytes=102400
socket.request.max.bytes=104857600
log.dirs=/data/kafka/kafka-logs #修改数据存放目录
num.partitions=1
num.recovery.threads.per.data.dir=1
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
zookeeper.connect=192.168.75.173:2181 #指定zookeeper地址
zookeeper.connection.timeout.ms=18000`在这里插入代码片`
group.initial.rebalance.delay.ms=0
4.3 启动kafka
cat /etc/systemd/system/kafka.service
[Unit]
Description=kafka.service
After=network.target remote-fs.target zookeeper.service
[Service]
Type=forking
Environment=JAVA_HOME=/usr/local/java/jdk1.8.0_171
ExecStart=/apps/kafka/bin/kafka-server-start.sh -daemon /apps/kafka/config/server.properties
ExecStop=/apps/kafka/bin/kafka-server-stop.sh
ExecReload=/bin/kill -s HUP $MAINPID
[Install]
WantedBy=multi-user.target
systemctl daemon-reload
systemctl start kafka
systemctl status kafka
使用Kafka 客户端管理工具 Offset Explorer查看验证kafka集群状态，关于此工具的使用可以参考：https://blog.csdn.net/qq_39416311/article/details/123316904
5、安装配置logstash
5.1 安装logstash
ip:192.168.75.172
rpm -ivh logstash-7.6.2.rpm
5.2 启动logstash
systemctl start logstash
systemctl enable logstash
6、配置日志收集
6.1 基于daemonset的日志收集
6.2 构建logstash镜像
在k8s或者其他安装有docker的机器上构建logstash镜像，Dockerfile如下
[root@master Dockerfile]# pwd
/root/Dockerfile
[root@master Dockerfile]# cat Dockerfile
FROM logstash:7.6.2
LABEL author="admin@qq.com"
WORKDIR /usr/share/logstash
COPY logstash.yml /usr/share/logstash/config/logstash.yml
COPY logstash.conf /usr/share/logstash/pipeline/logstash.conf
USER root
RUN usermod -a -G root logstash
logstash.yml内容如下
[root@master Dockerfile]# cat logstash.yml
http.host: "0.0.0.0"
logstash.conf内容如下
[root@master Dockerfile]# cat logstash.conf
input {
file {
path => "/var/lib/docker/containers/*/*-json.log" #docker
#path => "/var/log/pods/*/*/*.log" #使用containerd时，Pod的log的存放路径
start_position => "beginning"
type => "applog" #日志类型，自定义
}
file {
path => "/var/log/*.log" #操作系统日志路径
start_position => "beginning"
type => "syslog"
}
}
output {
if [type] == "applog" { #指定将applog类型的日志发送到kafka的哪个topic
kafka {
bootstrap_servers => "${KAFKA_SERVER}"
topic_id => "${TOPIC_ID}"
batch_size => 16384 #logstash每次向ES传输的数据量大小,单位为字节
codec => "${CODEC}" #日志格式
} }
if [type] == "syslog" { ##指定将syslog类型的日志发送到kafka的哪个topic
kafka {
bootstrap_servers => "${KAFKA_SERVER}"
topic_id => "${TOPIC_ID}"
batch_size => 16384
codec => "${CODEC}" #系统日志不是json格式
}}
}
构建镜像
[root@master Dockerfile]# ls
Dockerfile logstash.conf logstash.yml
docker build -t logstash-daemonset:7.6.2 .
打包镜像，传到其他节点，也可以上传到harbor
docker save -o logstash-daemonset.tar logstash-daemonset:7.6.2
docker load -i logstash-daemonset.tar
6.3 部署logstash daemonset，yaml如下
[root@master ~]# cat logstash.yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: logstash-daemonset
namespace: log
spec:
selector:
matchLabels:
app: logstash
template:
metadata:
labels:
app: logstash
spec:
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
containers:
- name: logstash
image: logstash-daemonset-docker:7.6.2
imagePullPolicy: IfNotPresent
env:
- name: KAFKA_SERVER
value: "192.168.75.173:9092"
- name: TOPIC_ID
value: "logstash-log-test1"
- name: CODEC
value: "json"
volumeMounts:
- name: varlog
mountPath: /var/log
readOnly: False
- name: varlogpods
# mountPath: /var/log/pods
mountPath: /var/lib/docker/containers
readOnly: False
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlogpods
hostPath:
#path: /var/log/pods
path: /var/lib/docker/containers
[root@master ~]# kubectl apply -f logstash.yaml
daemonset.apps/logstash-daemonset created
[root@master ~]# kubectl get pods -n log
NAME READY STATUS RESTARTS AGE
logstash-daemonset-8j622 1/1 Running 0 7s
logstash-daemonset-dxnwk 1/1 Running 0 7s
在kafka中进行查看，可以看到日志已经发送到kafka
6.4 修改logstash配置
这里的logstash是之前部署在主机上的logstash，而不是Pod。配置其从kafka读取日志然后发送到es
[root@logstash conf.d]# cat logstash-daemonset-kafka-to-es.conf
input {
kafka {
bootstrap_servers => "192.168.75.173:9092"
topics => ["logstash-log-test1"]
codec => "json"
}
}
output {
if [type] == "applog" {
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "applog-%{+YYYY.MM.dd}"
}}
if [type] == "syslog" {
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "syslog-%{+YYYY.MM.dd}"
}}
}
检查语法
./logstash -f /etc/logstash/conf.d/logstash-daemonset-kafka-to-es.conf -t
启动
./logstash -f /etc/logstash/conf.d/logstash-daemonset-kafka-to-es.conf
systemctl restart logstash
6.5 配置kibana展示日志
分别为applog和syslog创建日志索引模式
创建pod查看是否有日志上传
[root@master ~]# cat nginx1.yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx2
namespace: log
labels:
app: nginx2
spec:
containers:
- name: nginx2
image: nginx:latest
imagePullPolicy: IfNotPresent
ports:
- containerPort: 80
7、基于sidecar容器的日志收集
在这种方式下node节点上的日志还是需要部署额外的服务去收集
7.1 构建sidecar镜像
[root@master Dockerfile-sidecar]# cat Dockerfile
FROM logstash:7.6.2
LABEL author="admin@163.com"
WORKDIR /usr/share/logstash
COPY logstash.yml /usr/share/logstash/config/logstash.yml
COPY logstash.conf /usr/share/logstash/pipeline/logstash.conf
USER root
RUN usermod -a -G root logstash
logstash.yaml内容如下
[root@master Dockerfile-sidecar]# cat logstash.yml
http.host: "0.0.0.0"
logstash.conf内容如下：
[root@master Dockerfile-sidecar]# cat logstash.conf
input {
file {
path => "/var/log/applog/catalina.*.log"
start_position => "beginning"
type => "tomcat-app1-catalina-log"
}
file {
path => "/var/log/applog/localhost_access_log.*.txt"
start_position => "beginning"
type => "tomcat-app1-access-log"
}
}
output {
if [type] == "tomcat-app1-catalina-log" {
kafka {
bootstrap_servers => "${KAFKA_SERVER}"
topic_id => "${TOPIC_ID}"
batch_size => 16384 #logstash每次向ES传输的数据量大小,单位为字节
codec => "${CODEC}"
} }
if [type] == "tomcat-app1-access-log" {
kafka {
bootstrap_servers => "${KAFKA_SERVER}"
topic_id => "${TOPIC_ID}"
batch_size => 16384
codec => "${CODEC}" #系统日志不是json格式
}}
}
7.2 构建镜像
docker build -t logstash-sidecar:7.6.2 .
docker save -o logstash-sidecar.tar logstash-sidecar:7.6.2
7.3 部署pod
[root@master ~]# cat sidecar.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
namespace: log
name: tomcat-app1
spec:
replicas: 2
selector:
matchLabels:
app: tomcat-app1
template:
metadata:
labels:
app: tomcat-app1
spec:
containers:
- name: logstash-sidecar
image: logstash-sidecar:7.6.2
imagePullPolicy: IfNotPresent
env:
- name: KAFKA_SERVER
value: "192.168.75.173:9092"
- name: TOPIC_ID
value: "tomcat-log1"
- name: CODEC
value: "json"
volumeMounts:
- name: applog
mountPath: /var/log/applog
- name: tomcat
image: daocloud.io/library/tomcat:8.0.45
imagePullPolicy: IfNotPresent
volumeMounts:
- name: applog
mountPath: /usr/local/tomcat/logs/
volumes:
- name: applog
emptyDir: {}
[root@master ~]# kubectl get pods -n log
NAME READY STATUS RESTARTS AGE
tomcat-app1-55759b549-d6tgv 2/2 Running 0 117s
tomcat-app1-55759b549-r8dfd 2/2 Running 0 117s
在kafka中查看，sidecar容器已经将日志发送到kafka
7.4 配置logstash
cat logstash-sidercat-kafka-to-es.conf
input {
kafka { #从kafka tomcat-app1-log topic中读取日志
bootstrap_servers => "192.168.75.173:9092"
topics => ["tomcat-app1"]
codec => "json"
}
}
output {
if [type] == "tomcat-app1-access-log" { #tomcat访问日志存储到es的tomcat-app1-accesslog-%{+YYYY.MM.dd}索引中
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "tomcat-app1-accesslog-%{+YYYY.MM.dd}"
}
}
if [type] == "tomcat-app1-catalina-log" { #tomcat启动日志存储到es的tomcat-app1-catalinalog-%{+YYYY.MM.dd}索引中
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "tomcat-app1-catalinalog-%{+YYYY.MM.dd}"
}
}
}
systemctl restart logstash
8、基于容器内置的日志收集进程的日志收集
8.1 构建镜像
业务镜像内需要运行两个进程，一个是tomcat提供web服务，另一个是filebeat负责收集日志。Dockerfile如下:
[root@node1 Dockerfile]# cat Dockerfile
FROM centos:centos7.7.1908
WORKDIR /tmp
COPY jdk-8u171-linux-x64.tar.gz /tmp
RUN tar zxf /tmp/jdk-8u171-linux-x64.tar.gz -C /usr/local/ && rm -rf /tmp/jdk-8u171-linux-x64.tar.gz
RUN ln -s /usr/local/jdk1.8.0_171 /usr/local/jdk
ENV JAVA_HOME /usr/local/jdk
ENV JRE_HOME=${JAVA_HOME}/jre
ENV CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
ENV PATH=${JAVA_HOME}/bin:$PATH
COPY apache-tomcat-8.5.87.tar.gz /tmp
RUN tar zxf apache-tomcat-8.5.87.tar.gz -C /usr/local && rm -rf /tmp/apache-tomcat-8.5.87.tar.gz
RUN mv /usr/local/apache-tomcat-8.5.87 /usr/local/tomcat
COPY filebeat-7.6.2-x86_64.rpm /tmp/
RUN cd /tmp/ && rpm -ivh filebeat-7.6.2-x86_64.rpm && rm -f filebeat-7.6.2-x86_64.rpm
COPY filebeat.yml /etc/filebeat/
COPY run.sh /usr/local/bin/
RUN chmod 755 /usr/local/bin/run.sh
EXPOSE 8443 8080
CMD ["/usr/local/bin/run.sh"]
filebeat.yml内容如下
[root@node1 Dockerfile]# cat filebeat.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /usr/local/tomcat/logs/catalina.*.log
fields:
type: filebeat-tomcat-catalina
- type: log
enabled: true
paths:
- /usr/local/tomcat/logs/localhost_access_log.*.txt
fields:
type: filebeat-tomcat-accesslog
filebeat.config.modules:
path: ${path.config}/modules.d/*.yml
reload.enabled: false
setup.template.settings:
index.number_of_shards: 1
setup.kibana:
output.kafka:
hosts: ["192.168.75.173:9092"]
required_acks: 1
topic: "filebeat-tomcat-app1"
compression: gzip
max_message_bytes: 1000000
run.sh内容如下：
[root@node1 Dockerfile]# cat run.sh
#!/bin/bash
/usr/share/filebeat/bin/filebeat -e -c /etc/filebeat/filebeat.yml --path.home /usr/share/filebeat --path.config /etc/filebeat --path.data /var/lib/filebeat --path.logs /var/log/filebeat &
/usr/local/tomcat/bin/startup.sh && tail -f /usr/local/tomcat/logs/catalina.out
执行构建
docker build -t filebeat-log:7.6.2 .
8.2 部署业务容器
apiVersion: apps/v1
kind: Deployment
metadata:
name: tomcat-myapp
spec:
replicas: 3
selector:
matchLabels:
app: tomcat-myapp
template:
metadata:
labels:
app: tomcat-myapp
spec:
containers:
- name: tomcat-myapp
image: filebeat-log:7.6.2
imagePullPolicy: IfNotPresent
ports:
- name: http
containerPort: 8080
- name: https
containerPort: 8443
[root@master ~]# kubectl get pods -n log
NAME READY STATUS RESTARTS AGE
tomcat-myapp-78ff79cd6c-4dnsb 1/1 Running 0 3m4s
tomcat-myapp-78ff79cd6c-mpl4f 1/1 Running 0 3m4s
8.3 配置logstash
cat /etc/logstash/conf.d/filebeat-process-kafka-to-es.conf
input {
kafka {
bootstrap_servers => "192.168.75.173:9092"
topics => ["filebeat-tomcat-app1"]
codec => "json"
}
}
output {
if [fields][type] == "filebeat-tomcat-catalina" {
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "filebeat-tomcat-catalina-%{+YYYY.MM.dd}"
}}
if [fields][type] == "filebeat-tomcat-accesslog" {
elasticsearch {
hosts => ["192.168.75.170:9200"]
index => "filebeat-tomcat-accesslog-%{+YYYY.MM.dd}"
}}
}
systemctl restart logstash
文章来源：https://www.toymoban.com/news/detail-756537.html
9、elasticsearch-head安装
yum install git npm # npm在epel源中
git clone https://github.com/mobz/elasticsearch-head.git # 安装过程需要连接互联网
cd elasticsearch-head # git clone后会自动生成的一个目录
npm install
npm run start
如果想查询集群健康信息，那么需要在elasticsearch配置文件中授权文章来源地址https://www.toymoban.com/news/detail-756537.html
vim /etc/elasticsearch/elasticsearch.yml
http.cors.enabled: true # elasticsearch中启用CORS
http.cors.allow-origin: "*" # 允许访问的IP地址段，* 为所有IP都可以访问
10、kafka命令
查看已创建的topic列表：
./kafka-topics.sh --list --zookeeper localhost
查看对应topic的描述信息
[root@kafka bin]# ./kafka-topics.sh --describe --zookeeper 192.168.75.173 --topic logstash-log
Topic:logstash-log PartitionCount:1 ReplicationFactor:1 Configs:
Topic: logstash-log Partition: 0 Leader: 0 Replicas: 0 Isr: 0
消费消息：
[root@kafka bin]# ./kafka-console-consumer.sh --bootstrap-server 192.168.75.173:9092 --topic logstash-log --from-beginning
[root@kafka bin]# ./kafka-console-producer.sh --broker-list 192.168.75.173:9092 --topic logstash-log
[root@kafka bin]# ./kafka-console-consumer.sh --bootstrap-server 192.168.75.173:9092 --topic logstash-log --from-beginning
查询topic列表
./kafka-topics.sh --list --zookeeper 192.168.75.173:2181
到了这里，关于k8s日志收集方案及实战的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！
