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在k8s集群部署ELK

TiaNa_na 2022-08-16 阅读 92
nginxelasticsearchdockerMongoDB数据库yyds干货盘点

在k8s集群部署ELK

目录

1 准备环境

使用kubeadm或者其他方式部署一套k8s集群。

在k8s集群创建一个namespace：halashow

kubectl create ns halashow

2 ELK部署架构

img

3 部署elasticSearch

这是一个单节点部署，高可用方案我在研究研究。。。

es与mysql的概念对应关系。

es倒排索引。7.X版本type已经删除。

img

3.1 准备资源配置清单

Deployment中存在一个es的业务容器，和一个init容器，init容器主要是配置vm.max_map_count=262144。

service暴露了9200端口，其他服务可通过service name加端口访问es。

---
apiVersion: apps/v1
kind: Deployment
metadata:
  generation: 1
  labels:
    app: elasticsearch-logging
    version: v1
  name: elasticsearch
  namespace: halashow
spec:
  minReadySeconds: 10
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: elasticsearch-logging
      version: v1
  strategy:
    type: Recreate
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: elasticsearch-logging
        version: v1
    spec:
      affinity:
        nodeAffinity: {}
      containers:
      - env:
        - name: discovery.type
          value: single-node
        - name: ES_JAVA_OPTS
          value: -Xms512m -Xmx512m
        - name: MINIMUM_MASTER_NODES
          value: "1"
        image: docker.elastic.co/elasticsearch/elasticsearch:7.12.0-amd64
        imagePullPolicy: IfNotPresent
        name: elasticsearch-logging
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        resources:
          limits:
            cpu: "1"
            memory: 1Gi
          requests:
            cpu: "1"
            memory: 1Gi
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
        volumeMounts:
        - mountPath: /data
          name: es-persistent-storage
      dnsPolicy: ClusterFirst
      imagePullSecrets:
      - name: user-1-registrysecret
      initContainers:
      - command:
        - /sbin/sysctl
        - -w
        - vm.max_map_count=262144
        image: alpine:3.6
        imagePullPolicy: IfNotPresent
        name: elasticsearch-logging-init
        resources: {}
        securityContext:
          privileged: true
          procMount: Default
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30
      volumes:
      - hostPath:
          path: /opt/paas/hanju/es_data
          type: ""
        name: es-persistent-storage
---
apiVersion: v1
kind: Service
metadata:
  namespace: halashow
  name: elasticsearch
  labels:
    app: elasticsearch-logging
spec:
  type: ClusterIP
  ports:
  - port: 9200
    name: elasticsearch  
  selector: 
    app: elasticsearch-loggingy　

3.2 交付至k8s集群

执行如下代码创建es

kubectl apply -f elaticsearch.yaml

查看容器是否运行

kubectl get pod -n halashow | ``grep` `ela

执行如下代码查看es状态

curl 172.31.141.130:9200
{
  "name" : "elasticsearch-6755f64866-f9jr2",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "AnWOO_hJTyqEjS3pLG0E9A",
  "version" : {
    "number" : "7.12.0",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "78722783c38caa25a70982b5b042074cde5d3b3a",
    "build_date" : "2021-03-18T06:17:15.410153305Z",
    "build_snapshot" : false,
    "lucene_version" : "8.8.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

　　

　

4 部署logstash

4.1 准备资源配置清单

创建configMap定义logstash相关配置项，主要包括一下几项。

　　input：定义输入到logstash的源。

　　filter：定义过滤条件。

　　output：可以定义输出到es，redis，kafka等等。

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: logstash-config
  namespace: halashow
data:
  logstash.conf: |-
    input {
        beats {
            port => 5044
    }
    }

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

    output {
    elasticsearch {
        hosts => ["elasticsearch:9200"]
    }
    }

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: logstash
  namespace: halashow
  labels: 
    name: logstash
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: logstash
  template:
    metadata:
      labels: 
        app: logstash
        name: logstash
    spec:
      containers:
      - name: logstash
        image: docker.elastic.co/logstash/logstash:7.12.0
        ports:
        - containerPort: 5044
          protocol: TCP
        - containerPort: 9600
          protocol: TCP

        volumeMounts:
        - name: logstash-config
          #mountPath: /usr/share/logstash/logstash-simple.conf
          #mountPath: /usr/share/logstash/config/logstash-sample.conf
          mountPath: /usr/share/logstash/pipeline/logstash.conf
          subPath: logstash.conf
        #ports:
        #  - containerPort: 80
        #    protocol: TCP

      volumes:
      - name: logstash-config
        configMap:
          #defaultMode: 0644
          name: logstash-config

---
apiVersion: v1
kind: Service
metadata:
  namespace: halashow
  name: logstash
  labels:
    app: logstash
spec:
  type: ClusterIP
  ports:
  - port: 5044
    name: logstash
  selector: 
    app: logstash

4.2 交付至k8s集群

[root@k8s-master logstash]``# kubectl apply -f logstash.yaml``[root@k8s-master logstash]``# kubectl get pod -n halashow | grep logst``logstash-65bb74d7c5-5n5j9 1``/1` `Running 0 16h

5 部署nginx和filebeat

5.1 准备资源配置清单

nginx日志需要修改为json格式化输出。

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: filebeat-config-to-logstash
  namespace: halashow
data:
  filebeat.yml: |-
    filebeat.inputs:
    - type: log
      paths:
        - /logm/*.log
    output.logstash:
      hosts: ['logstash:5044']

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: nginx-conf
  namespace: halashow
data:
  nginx.conf: |-                
        user  nginx;
        worker_processes  1;
        error_log  /var/log/nginx/error.log warn;
        pid        /var/run/nginx.pid;
        events {
                worker_connections  1024;
        }
        http {
                include       /etc/nginx/mime.types;
                default_type  application/octet-stream;
                log_format  log_json  '{"@timestamp": "$time_local","user_ip":"$http_x_real_ip","lan_ip":"$remote_addr","log_time":"$time_iso8601","user_req":"$request","http_code":"$status","body_bytes_sents":"$body_bytes_sent","req_time":"$request_time","user_ua":"$http_user_agent"}';
                access_log  /var/log/nginx/access.log  log_json;
                sendfile        on;
                keepalive_timeout  65;
                include /etc/nginx/conf.d/*.conf;
        }

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
  namespace: halashow
  labels: 
    name: nginx
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: nginx
  template:
    metadata:
      labels: 
        app: nginx
        name: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:latest
        ports:
        - containerPort: 80
          protocol: TCP
        volumeMounts:
        - name: logm
          mountPath: /var/log/nginx/
        - name: nginx-conf
          mountPath: /etc/nginx/nginx.conf
          subPath: nginx.conf
      - name: filebeat
        image: docker.elastic.co/beats/filebeat:7.12.0
        args: [
          "-c", "/etc/filebeat.yml",
          "-e",
        ]

        volumeMounts:
        - mountPath: /logm
          name: logm
        - name: config
          mountPath: /etc/filebeat.yml
          readOnly: true
          subPath: filebeat.yml

      volumes:
      - name: logm 
        emptyDir: {}
      - name: config
        configMap:
          defaultMode: 0640
          name: filebeat-config-to-logstash
      - name: nginx-conf
        configMap:
          defaultMode: 0640
          name: nginx-conf

5.2 交付至k8s集群

[root@k8s-master filebeat]``# #kubectl apply -f nginx_With_filebeat_to_logstash.yaml``[root@k8s-master filebeat]``# kubectl get pod -n halashow | grep logst``logstash-65bb74d7c5-5n5j9    1``/1`   `Running  0     16h

6 部署kibana　　

6.1 准备资源配置清单

kibana服务暴露采用了ingress形式，也可以采用nodePort，这里k8s集群安装了ingress插件，所以采用了ingress方式。

---
 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: kibana
   namespace: halashow
   labels: 
     name: kibana
 spec:
   replicas: 1
   selector:
     matchLabels: 
       name: kibana
   template:
     metadata:
       labels: 
         app: kibana
         name: kibana
     spec:
       containers:
       - name: kibana
         image: docker.elastic.co/kibana/kibana:7.12.0
        ports:
         - containerPort: 5601
           protocol: TCP
         env:
         - name: ELASTICSEARCH_URL
           value: http://elasticsearch:9200
 ---
 apiVersion: v1
 kind: Service
 metadata: 
   name: kibana
   namespace: halashow
 spec:
   ports:
   - protocol: TCP
     port: 80
     targetPort: 5601
   selector: 
     app: kibana

 ---
 apiVersion: extensions/v1beta1
 kind: Ingress
 metadata: 
   name: kibana
   namespace: halashow
 spec:
   rules:
   - host: kibana.com
     http:
       paths:
       - path: /
         backend: 
           serviceName: kibana
           servicePort: 80

6.2 交付至k8s集群

[root@k8s-master kibana]``# #kubectl apply -f kibana.yaml``[root@k8s-master kibana]``# kubectl get pod -n halashow | grep kibana``kibana-85954595c4-rc5sj     1``/1`   `Running  0     16h

7 验证

在本地安装访问nginx容器，并通过kibana查看日志。

[root@k8s-master kibana]``# yum -y install httpd-tools``[root@k8s-master kibana]``# kubectl get pod -n halashow -owide | grep nginx``nginx-84f6599fbd-t8lpq      2``/2`   `Running  0     17h  172.31.119.35  k8s-slave-1  <none>      <none>``[root@k8s-master kibana]``# ab -c 100 -n 1000 http://172.31.119.35:80/

在外部通过kibana.com进行访问时，需要做域名解析，解析到的IP地址为ingress pod的IP

[root@k8s-master kibana]``# kubectl get pod -n kube-system -owide | grep ingress``ingress-nginx-controller-6df896b675-r9dr7  1``/1`   `Running  0     9d  192.168.29.28  k8s-slave-4  <none>      <none>

img

遇到的问题：是由于nginx日志没有做json格式化输出。

img

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