首页
学习
活动
专区
圈层
工具
发布
43 篇文章
1
干货 | Elasitcsearch7.X集群/索引备份与恢复实战
2
干货 | Elasticsearch 运维实战常用命令清单
3
腾讯云Elasticsearch集群运维常用命令详解一(集群篇)
4
腾讯云Elasticsearch集群运维常用命令详解二(节点篇)
5
腾讯云Elasticsearch集群运维常用命令详解三(索引篇)
6
如何系统的学习 Elasticsearch ?
7
Elasitcsearch 开发运维常用命令集锦
8
Elasticsearch集群数据备份与恢复 Snapshot & Restore
9
搭建ELFK日志采集系统
10
Kubernetes Helm3 部署 ElasticSearch & Kibana 7 集群
11
使用 Ansible 部署 Elasticsearch 集群
12
技术角 | 在CentOS 8上使用Elastic Stack: Elasticsearch/Kibana 7.8部署与认证配置
13
在CentOS 8上使用Elastic Stack: Elasticsearch/Kibana 7.8的部署与认证配置
14
Elasticsearch 生产环境集群部署最佳实践
15
ES 7.8 速成笔记(中)
16
ES 7.8 速成笔记(上)
17
如何在CentOS 7上设置生产Elasticsearch集群
18
kubernetes-2:helm实战-1:生产级别的elasticsearch集群部署
19
ElasticSearch 7集群部署
20
在CentOS 7安装ElasticSearch 7.x
21
zabbix 监控 es 集群
22
ELK 日志报警插件 ElastAlert
23
Elasticsearch集群规划最佳实践
24
kubernetes-7:elasticsearch容器化
25
Go Elasticsearch 增删改查(CRUD)快速入门
26
go操作elasticsearch示例
27
在 Kubernetes 上搭建 EFK 日志收集系统
28
一文彻底搞定 EFK 日志收集系统
29
TKE上搭建EFK日志采集系统
30
使用 EFKLK 搭建 Kubernetes 日志收集工具栈
31
腾讯云Elasticsearch集群规划及性能优化实践
32
【干货】Elasticsearch索引性能优化 (2)
33
让Elasticsearch飞起来!——性能优化实践干货
34
【干货】Elasticsearch的索引性能优化(3)
35
Elasticsearch性能优化实战指南
36
ElasticSearch性能优化官方建议
37
Elasticsearch 7.10.1集群压测报告(4核16G*3,AMD)
38
Elasticsearch压测之Esrally压测标准
39
通过 esrally 压测elasticsearch
40
Elasticsearch压测工具esrally部署之踩坑实录(上)
41
Elasticsearch压测工具Esrally部署之踩坑实录(下)
42
Elasticsearch压测工具Esrally部署指南
43
百亿架构之filebeat讲解

TKE上搭建EFK日志采集系统

1.创建新的namespace

创建一个新的namespace为logging,该命名空间来部署EFK

2.创建ES的svc

代码语言:javascript
复制
kind: Service
apiVersion: v1
metadata:
  name: elasticsearch
  namespace: logging
  labels:
    app: elasticsearch
spec:
  selector:
    app: elasticsearch
  clusterIP: None
  ports:
    - port: 9200
      name: rest
    - port: 9300
      name: inter-node

3.创建ES的StatefulSet资源

3.1创建StorageClass

需要创建一个SC,用来后续ES创建时候动态挂载PVC,在腾讯云中,如果挂载了卷,又起了多个pod,可以采用自动动态挂载PVC

代码语言:javascript
复制
volumeClaimTemplates:
  - metadata:
      name: data
      labels:
        app: elasticsearch
    spec:
      accessModes: [ "ReadWriteOnce" ]
      storageClassName: es-data-db
      resources:
        requests:
          storage: 50Gi

在资源中通过volumeClaimTemplates自动常见PV来挂载PVC

3.2创建StatefulSet

代码语言:javascript
复制
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: es-cluster
  namespace: logging
spec:
  serviceName: elasticsearch
  replicas: 3
  selector:
    matchLabels:
      app: elasticsearch
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      containers:
      - name: elasticsearch
        image: elasticsearch:6.4.3
        resources:
            limits:
              cpu: 1000m
            requests:
              cpu: 100m
        ports:
        - containerPort: 9200
          name: rest
          protocol: TCP
        - containerPort: 9300
          name: inter-node
          protocol: TCP
        volumeMounts:
        - name: data
          mountPath: /usr/share/elasticsearch/data
        env:
          - name: cluster.name
            value: k8s-logs
          - name: node.name
            valueFrom:
              fieldRef:
                fieldPath: metadata.name
          - name: discovery.zen.ping.unicast.hosts
            value: "es-cluster-0.elasticsearch,es-cluster-1.elasticsearch,es-cluster-2.elasticsearch"
          - name: discovery.zen.minimum_master_nodes
            value: "2"
          - name: ES_JAVA_OPTS
            value: "-Xms512m -Xmx512m"
      initContainers:
      - name: fix-permissions
        image: busybox
        command: ["sh", "-c", "chown -R 1000:1000 /usr/share/elasticsearch/data"]
        securityContext:
          privileged: true
        volumeMounts:
        - name: data
          mountPath: /usr/share/elasticsearch/data
      - name: increase-vm-max-map
        image: busybox
        command: ["sysctl", "-w", "vm.max_map_count=262144"]
        securityContext:
          privileged: true
      - name: increase-fd-ulimit
        image: busybox
        command: ["sh", "-c", "ulimit -n 65536"]
        securityContext:
          privileged: true
  volumeClaimTemplates:
  - metadata:
      name: data
      labels:
        app: elasticsearch
    spec:
      accessModes: [ "ReadWriteOnce" ]
      storageClassName: cbs
      resources:
        requests:
          storage: 10Gi

4.创建kibana服务

代码语言:javascript
复制
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: logging
  labels:
    app: kibana
spec:
  ports:
  - port: 5601
  type: NodePort
  selector:
    app: kibana

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kibana
  namespace: logging
  labels:
    app: kibana
spec:
  selector:
    matchLabels:
      app: kibana
  template:
    metadata:
      labels:
        app: kibana
    spec:
      containers:
      - name: kibana
        image: docker.elastic.co/kibana/kibana-oss:6.4.3
        resources:
          limits:
            cpu: 1000m
          requests:
            cpu: 100m
        env:
          - name: ELASTICSEARCH_URL
            value: http://elasticsearch:9200
        ports:
        - containerPort: 5601

通过http://任意节点ip:31020访问kibana界面

5.部署Fluentd

5.1添加fluentd的配置文件

代码语言:javascript
复制
kind: ConfigMap
apiVersion: v1
metadata:
  name: fluentd-config
  namespace: logging
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
data:
  system.conf: |-
    <system>
      root_dir /tmp/fluentd-buffers/
    </system>
  containers.input.conf: |-
    <source>
      @id fluentd-containers.log
      @type tail
      path /var/log/containers/*.log
      pos_file /var/log/es-containers.log.pos
      time_format %Y-%m-%dT%H:%M:%S.%NZ
      localtime
      tag raw.kubernetes.*
      format json
      read_from_head true
    </source>
    # Detect exceptions in the log output and forward them as one log entry.
    <match raw.kubernetes.**>
      @id raw.kubernetes
      @type detect_exceptions
      remove_tag_prefix raw
      message log
      stream stream
      multiline_flush_interval 5
      max_bytes 500000
      max_lines 1000
    </match>
  system.input.conf: |-
    # Logs from systemd-journal for interesting services.
    <source>
      @id journald-docker
      @type systemd
      filters [{ "_SYSTEMD_UNIT": "docker.service" }]
      <storage>
        @type local
        persistent true
      </storage>
      read_from_head true
      tag docker
    </source>
    <source>
      @id journald-kubelet
      @type systemd
      filters [{ "_SYSTEMD_UNIT": "kubelet.service" }]
      <storage>
        @type local
        persistent true
      </storage>
      read_from_head true
      tag kubelet
    </source>
  forward.input.conf: |-
    # Takes the messages sent over TCP
    <source>
      @type forward
    </source>
  output.conf: |-
    # Enriches records with Kubernetes metadata
    <filter kubernetes.**>
      @type kubernetes_metadata
    </filter>
    <match **>
      @id elasticsearch
      @type elasticsearch
      @log_level info
      include_tag_key true
      host elasticsearch
      port 9200
      logstash_format true
      request_timeout    30s
      <buffer>
        @type file
        path /var/log/fluentd-buffers/kubernetes.system.buffer
        flush_mode interval
        retry_type exponential_backoff
        flush_thread_count 2
        flush_interval 5s
        retry_forever
        retry_max_interval 30
        chunk_limit_size 2M
        queue_limit_length 8
        overflow_action block
      </buffer>
    </match>

5.2部署fluentd

fluentdt需要收集所有节点的日志,所以未通过deamonset的方式部署

代码语言:javascript
复制
apiVersion: apps/v1beta2
kind: DaemonSet
metadata:
  name: fluentd-es
  namespace: logging
  labels:
    k8s-app: fluentd-es
    version: v2.0.4
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: fluentd-es
      version: v2.0.4
  template:
    metadata:
      labels:
        k8s-app: fluentd-es
        kubernetes.io/cluster-service: "true"
        version: v2.0.4
      # This annotation ensures that fluentd does not get evicted if the node
      # supports critical pod annotation based priority scheme.
      # Note that this does not guarantee admission on the nodes (#40573).
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      serviceAccountName: fluentd-es
      containers:
      - name: fluentd-es
        image: cnych/fluentd-elasticsearch:v2.0.4
        env:
        - name: FLUENTD_ARGS
          value: --no-supervisor -q
        resources:
          limits:
            memory: 500Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /data/docker/containers
          readOnly: true
        - name: config-volume
          mountPath: /etc/fluent/config.d
      #nodeSelector:
      #  beta.kubernetes.io/fluentd-ds-ready: "true"
      tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule
      terminationGracePeriodSeconds: 30
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /data/docker/containers
      - name: config-volume
        configMap:
          name: fluentd-config
下一篇
举报
领券