kubernetes中使用ELK进行日志收集-易微帮

#解压jdk包

[elk@k8s-master ~]$ tar -zxvf jdk-8u401-linux-x64.tar.gz

#编辑“~/.bash_profile” 追加如下内容：

JAVA_HOME=/home/elk/jdk1.8.0_401
export JAVA_HOME
PATH=$JAVA_HOME/bin:$PATH
export PATH

#生效文件

[elk@k8s-master ~]$ source ~/.bash_profile

5、安装Elasticsearch

#解压Elasticsearch

[elk@k8s-master ~]$ tar -zxvf elasticsearch-6.8.7.tar.gz

#启动Elasticsearch

[elk@k8s-master ~]$ elasticsearch-6.8.7/bin/elasticsearch &

#测试是否启动成功

[elk@k8s-master ~]$ curl localhost:9200
如下，Elasticsearch启动成功

6、安装kibana

#解压安装包

[elk@k8s-master ~]$ tar -zxvf kibana-6.8.7-linux-x86_64.tar.gz

#编辑kibana-6.8.7-linux-x86_64/config/kibana.yml 文件

---

server.port: 5601
# 需要写成master节点的IP地址
server.host: "172.19.3.240"
elasticsearch.hosts: ["http://localhost:9200"]

---

#启动Kibana

[elk@k8s-master ~]$ kibana-6.8.7-linux-x86_64/bin/kibana &

# 输出如下信息启动成功

# 访问控制台

7、安装Logstash

# 解压logstash

[elk@k8s-master ~]$ tar -zxvf logstash-6.8.7.tar.gz
#启动命令

[elk@k8s-master ~]$ cd logstash-6.8.7/
[elk@k8s-master logstash-6.8.7]$ bin/logstash -f config/logstash.conf &

四、采集k8s系统组件日志

方式一：node节点上部署专门的日志收集程序。在node节点上部署一个日志收集代理来收集该节点的日志信息。为了保证每个node节点都能够运行这样一个代理，可以采用DaemonSet方式来运行代理。如上图所示：将宿主机的容器日志挂载到DaemonSet中，然后由日志收集代理将日志转发到后端的日志收集系统ELK中

1、编辑资源清单文件 k8s-logs.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: k8s-logs-filebeat-config
  namespace: kube-system
data:
  filebeat.yml: |-
    filebeat.prospectors: 
      - type: log
        paths:
          - /messages # filebeat中的日志位置
        fields: # 给日志打的2个标签
          app: k8s
          type: module
        fields_under_root: true
    output.logstash: # filebeat中日志给logstash
      hosts: ['172.19.3.240:5044']
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: k8s-logs
  namespace: kube-system
spec:
  selector:
    matchLabels:
      project: k8s
      app: filebeat
  template:
    metadata:
      labels:
        project: k8s
        app: filebeat
    spec:
      containers:
      - name: filebeat
        image: collenzhao/filebeat:6.5.4
        args: [
          "-c","/etc/filebeat.yml"
        ]
        resources:
          requests:
            cpu: 100m
            memory: 100Mi
          limits:
            cpu: 500m
            memory: 500Mi
        securityContext:
          runAsUser: 0
        volumeMounts:
        - name: filebeat-config
          mountPath: /etc/filebeat.yml
          subPath: filebeat.yml
        - name: k8s-logs  # 采集宿主机/var/log/messages 到filebeat容器中 /messages中
          mountPath: /messages   
      volumes:
      - name: k8s-logs
        hostPath:
          path: /var/log/messages
          type: File
      - name: filebeat-config
        configMap:
          name: k8s-logs-filebeat-config

2、创建资源

[K8S@k8s-master k8s-log]$ kubectl apply -f k8s-log.yaml
configmap/k8s-logs-filebeat-config created
daemonset.apps/k8s-logs created

查看启动成功

3、修改Logstash的配置文件，并重启

根据需求，将filebeat中指定fields字段分类传给Elasticsearch

[elk@k8s-master ~]$ cat logstash-6.8.7/config/logstash.conf
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

input {
beats {
port => 5044
}
}

output {
if [app] == "k8s" { # filebeat中的field字段
if [type] == "module" {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "k8s-log-%{+YYYY.MM.dd}" #打包到日志名称到elasticsearch中
}
}
}
}

重启Logstash

[elk@k8s-master ~]$ cd logstash-6.8.7/
[elk@k8s-master logstash-6.8.7]$ ./bin/logstash -f ./config/logstash.conf &

4、配置Kinba查看日志

4.1 访问页面

4.2 按顺序输入点击查看

4.3 点击discovery查看日志

点击message后边都add，会被添加到上边的Selected field中，可以方便我们查看日志

五、采集应用日志

方式二：Pod中增加专用的日志收集容器

核心是在每个运行应用的Pod中增加一个新的容器，该容器专门用于运行日志收集代理程序。应用可以通过数据卷的方式将日志挂碍到这个容器中，最终将日志转发到后端的日志收集系统ELK中

1、创建“filebeat-nginx-configmap.yaml”文件配置FileBeat参数

[K8S@k8s-master nginx]$ cat filebeat-nginx-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: filebeat-nginx-config
data:
filebeat.yml: |-
filebeat.prospectors:
- type: log
paths:
- /usr/local/nginx/logs/access.log # filebeat中日志文件位置
fields: # 给日志文件的标签
app: nginx
type: nginx-access
fields_under_root: true
- type: log
paths:
- /usr/local/nginx/logs/error.log
fields: # 给日志文件的标签
app: nginx
type: nginx-error
fields_under_root: true
output.logstash:
hosts: ['172.19.3.240:5044']

2、创建“nginx-deployment.yaml”文件部署Nginx应用

[K8S@k8s-master nginx]$ cat filebeat-nginx-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: filebeat-nginx-config
data:
filebeat.yml: |-
filebeat.prospectors:
- type: log
paths:
- /usr/local/nginx/logs/access.log
fields:
app: nginx
type: nginx-access
fields_under_root: true
- type: log
paths:
- /usr/local/nginx/logs/error.log
fields:
app: nginx
type: nginx-error
fields_under_root: true
output.logstash:
hosts: ['172.19.3.240:5044']

[K8S@k8s-master nginx]$ cat nginx-deployment.yaml
apiVersion: v1
kind: Service
metadata:
name: nginx-test-service
spec:
type: NodePort
ports:
- name: http
port: 80
protocol: TCP
selector:
app: nginx
type: nginx-demo
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-demo
spec:
replicas: 2
selector:
matchLabels:
app: nginx
type: nginx-demo
template:
metadata:
labels:
app: nginx
type: nginx-demo
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
volumeMounts:
- name: nginx-logs
mountPath: /var/log/nginx
- name: filebeat
image: collenzhao/filebeat:6.5.4
args: [
"-c", "/etc/filebeat.yml",
"-e",
]
volumeMounts:
- name: filebeat-config
mountPath: /etc/filebeat.yml
subPath: filebeat.yml
- name: nginx-logs
mountPath: /usr/local/nginx/logs
volumes:
- name: nginx-logs # 通过临时数据卷，将nginx容器中日志挂在到filebeat容器中
emptyDir: {}
- name: filebeat-config
configMap:
name: filebeat-nginx-config

3、执行“kubectl apply -f” 命令

[K8S@k8s-master nginx]$ kubectl apply -f filebeat-nginx-configmap.yaml
[K8S@k8s-master nginx]$ kubectl apply -f nginx-deployment.yaml

查看应用启动成功，为了生成access.log文件，我们访问下应用即可 172.19.3.240:31535

4、修改Logstash的配置文件，并重启

[elk@k8s-master config]$ cat logstash.conf
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

input {
beats {
port => 5044
}
}

output {
if [app] == "k8s" {
if [type] == "module" {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "k8s-log-%{+YYYY.MM.dd}"
}
}
}
if [app] == "nginx" {
if [type]== "nginx-access" {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "nginx-access-%{+YYYY.MM.dd}"
}
}
if [type]== "nginx-error" {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "nginx-error-%{+YYYY.MM.dd}"
}
}
}
}

获取进程号，关闭进程

[elk@k8s-master config]$ ps -ef | grep logstash
elk 28634 34503 0 15:39 pts/1 00:00:00 grep --color=auto logstash
elk 61123 1 7 14:54 ? 00:03:28 /home/elk/jdk1.8.0_401/b..................................省略..........

#关闭进程

[elk@k8s-master config]$ kill -9 61123

#再次查看进程关闭
[elk@k8s-master config]$ ps -ef | grep logstash
elk 44799 34503 0 15:41 pts/1 00:00:00 grep --color=auto logstash
[elk@k8s-master config]$

启动logstash

[elk@k8s-master logstash-6.8.7]$ bin/logstash -f config/logstash.conf &

kubernetes中使用ELK进行日志收集

一、需要收集哪些日志

1、kubernetes集群的系统组件日志

2、应用日志

二、日志收集方案ELK

1、收集日志：Logstash

2、存储日志：Elasticsearch

3、展示日志：Kibana

三、安装elk

1、下载安装包

2、创建用户并切换到新用户

3、上传安装包到用户目录

4、安装配置jdk