k8s收集日志

写在前面： k8s在1.23版本之后就不用fluentd-es来收集日志了，而是把日志通过fluentd把日志直接打到存储，所以下面的文件在后面的版本已经没有了，不过还是照样可以用

一.收集控制台日志

采用fluentd+es+kibana来做

所需要的文件可以在这里找

https://github.com/kubernetes/kubernetes/tree/v1.23.0/cluster/addons/fluentd-elasticsearch

1.创建目录并下载所需文件

cd /root/k8s/yaml/efk
[root@worker1 efk]# ll
total 44
-rw-r--r-- 1 root root   172 Dec 28 15:58 create-logging-namespace.yaml
-rw-r--r-- 1 root root   572 Dec 28 15:59 es-service.yaml
-rw-r--r-- 1 root root  3153 Dec 28 16:05 es-statefulset.yaml
drwxr-xr-x 2 root root  4096 Dec 28 23:15 filebeat
-rw-r--r-- 1 root root 16121 Dec 28 15:58 fluentd-es-configmap.yaml
-rw-r--r-- 1 root root  2569 Dec 28 15:58 fluentd-es-ds.yaml
-rw-r--r-- 1 root root  1542 Dec 28 16:09 kibana-deployment.yaml
-rw-r--r-- 1 root root   387 Dec 28 16:29 kibana-service.yaml

2.创建es

基本不需要改动，yaml文件下载下来直接创建就行

kubectl create -f create-logging-namespace.yaml
kubectl create -f es-service.yaml
kubectl create -f es-statefulset.yaml

查看

kubectl get pod.svc -n logging 
NAME                                       READY   STATUS    RESTARTS   AGE
pod/elasticsearch-logging-0                1/1     Running   0          17h


NAME                            TYPE        CLUSTER-IP        EXTERNAL-IP   PORT(S)                      AGE
service/elasticsearch-logging   ClusterIP   192.168.253.134   <none>        9200/TCP,9300/TCP            17h

测试

[root@worker1 efk]# curl 192.168.253.134:9200
{
  "name" : "elasticsearch-logging-0",
  "cluster_name" : "kubernetes-logging",
  "cluster_uuid" : "TgivkC3MTiCSUYoKdJJ7Nw",
  "version" : {
    "number" : "7.10.2",
    "build_flavor" : "oss",
    "build_type" : "docker",
    "build_hash" : "747e1cc71def077253878a59143c1f785afa92b9",
    "build_date" : "2021-01-13T00:42:12.435326Z",
    "build_snapshot" : false,
    "lucene_version" : "8.7.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

3.创建fluentd

kubectl create -f fluentd-es-configmap.yaml
kubectl create -f fluentd-es-ds.yaml

这里我贴一下自己的文件，里面有些东西改了（里面的日志路径根据自己实际情况来写，主要就是区分是docker的运行时日志还是container的运行时日志，两种组件路径不一样，后面有写）
fluentd-es-configmap.yaml

kind: ConfigMap
apiVersion: v1
metadata:
  name: fluentd-es-config-v0.2.1
  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
      tag raw.kubernetes.*
      read_from_head true
      <parse>
        @type multi_format
        <pattern>
          format json
          time_key time
          time_format %Y-%m-%dT%H:%M:%S.%NZ
        </pattern>
        <pattern>
          format /^(?<time>.+) (?<stream>stdout|stderr) [^ ]* (?<log>.*)$/
          time_format %Y-%m-%dT%H:%M:%S.%N%:z
        </pattern>
      </parse>
    </source>
    # Detect exceptions in the log output and forward them as one log entry.
    <match raw.kubernetes.**>
      @id raw.kubernetes
      @type detect_exceptions
      remove_tag_prefix raw
      message log
      stream stream
      multiline_flush_interval 5
      max_bytes 500000
      max_lines 1000
    </match>
    # Concatenate multi-line logs
    <filter **>
      @id filter_concat
      @type concat
      key message
      multiline_end_regexp /\n$/
      separator ""
    </filter>
    # Enriches records with Kubernetes metadata
    <filter kubernetes.**>
      @id filter_kubernetes_metadata
      @type kubernetes_metadata
    </filter>
    # Fixes json fields in Elasticsearch
    <filter kubernetes.**>
      @id filter_parser
      @type parser
      key_name log
      reserve_data true
      remove_key_name_field true
      <parse>
        @type multi_format
        <pattern>
          format json
        </pattern>
        <pattern>
          format none
        </pattern>
      </parse>
    </filter>
  system.input.conf: |-
    # Example:
    # 2015-12-21 23:17:22,066 [salt.state       ][INFO    ] Completed state [net.ipv4.ip_forward] at time 23:17:22.066081
    <source>
      @id minion
      @type tail
      format /^(?<time>[^ ]* [^ ,]*)[^\[]*\[[^\]]*\]\[(?<severity>[^ \]]*) *\] (?<message>.*)$/
      time_format %Y-%m-%d %H:%M:%S
      path /var/log/salt/minion
      pos_file /var/log/salt.pos
      tag salt
    </source>
    # Example:
    # Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
    <source>
      @id startupscript.log
      @type tail
      format syslog
      path /var/log/startupscript.log
      pos_file /var/log/es-startupscript.log.pos
      tag startupscript
    </source>
    # Examples:
    # time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
    # time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
    # TODO(random-liu): Remove this after cri container runtime rolls out.
    <source>
      @id docker.log
      @type tail
      format /^time="(?<time>[^"]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
      path /var/log/docker.log
      pos_file /var/log/es-docker.log.pos
      tag docker
    </source>
    # Example:
    # 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
    <source>
      @id etcd.log
      @type tail
      # Not parsing this, because it doesn't have anything particularly useful to
      # parse out of it (like severities).
      format none
      path /var/log/etcd.log
      pos_file /var/log/es-etcd.log.pos
      tag etcd
    </source>
    # Multi-line parsing is required for all the kube logs because very large log
    # statements, such as those that include entire object bodies, get split into
    # multiple lines by glog.
    # Example:
    # I0204 07:32:30.020537    3368 server.go:1048] POST /stats/container/: (13.972191ms) 200 [[Go-http-client/1.1] 10.244.1.3:40537]
    <source>
      @id kubelet.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kubelet.log
      pos_file /var/log/es-kubelet.log.pos
      tag kubelet
    </source>
    # Example:
    # I1118 21:26:53.975789       6 proxier.go:1096] Port "nodePort for kube-system/default-http-backend:http" (:31429/tcp) was open before and is still needed
    <source>
      @id kube-proxy.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-proxy.log
      pos_file /var/log/es-kube-proxy.log.pos
      tag kube-proxy
    </source>
    # Example:
    # I0204 07:00:19.604280       5 handlers.go:131] GET /api/v1/nodes: (1.624207ms) 200 [[kube-controller-manager/v1.1.3 (linux/amd64) kubernetes/6a81b50] 127.0.0.1:38266]
    <source>
      @id kube-apiserver.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-apiserver.log
      pos_file /var/log/es-kube-apiserver.log.pos
      tag kube-apiserver
    </source>
    # Example:
    # I0204 06:55:31.872680       5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kube-ui
    <source>
      @id kube-controller-manager.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-controller-manager.log
      pos_file /var/log/es-kube-controller-manager.log.pos
      tag kube-controller-manager
    </source>
    # Example:
    # W0204 06:49:18.239674       7 reflector.go:245] pkg/scheduler/factory/factory.go:193: watch of *api.Service ended with: 401: The event in requested index is outdated and cleared (the requested history has been cleared [2578313/2577886]) [2579312]
    <source>
      @id kube-scheduler.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-scheduler.log
      pos_file /var/log/es-kube-scheduler.log.pos
      tag kube-scheduler
    </source>
    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      @id glbc.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/glbc.log
      pos_file /var/log/es-glbc.log.pos
      tag glbc
    </source>
    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      @id cluster-autoscaler.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/cluster-autoscaler.log
      pos_file /var/log/es-cluster-autoscaler.log.pos
      tag cluster-autoscaler
    </source>
    # Logs from systemd-journal for interesting services.
    # TODO(random-liu): Remove this after cri container runtime rolls out.
    <source>
      @id journald-docker
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "docker.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-docker.pos
      </storage>
      read_from_head true
      tag docker
    </source>
    <source>
      @id journald-container-runtime
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "{{ fluentd_container_runtime_service }}.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-container-runtime.pos
      </storage>
      read_from_head true
      tag container-runtime
    </source>
    <source>
      @id journald-kubelet
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "kubelet.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-kubelet.pos
      </storage>
      read_from_head true
      tag kubelet
    </source>
    <source>
      @id journald-node-problem-detector
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "node-problem-detector.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-node-problem-detector.pos
      </storage>
      read_from_head true
      tag node-problem-detector
    </source>
    <source>
      @id kernel
      @type systemd
      matches [{ "_TRANSPORT": "kernel" }]
      <storage>
        @type local
        persistent true
        path /var/log/kernel.pos
      </storage>
      <entry>
        fields_strip_underscores true
        fields_lowercase true
      </entry>
      read_from_head true
      tag kernel
    </source>
  forward.input.conf: |-
    # Takes the messages sent over TCP
    <source>
      @id forward
      @type forward
    </source>
  monitoring.conf: |-
    # Prometheus Exporter Plugin
    # input plugin that exports metrics
    <source>
      @id prometheus
      @type prometheus
    </source>
    <source>
      @id monitor_agent
      @type monitor_agent
    </source>
    # input plugin that collects metrics from MonitorAgent
    <source>
      @id prometheus_monitor
      @type prometheus_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
    # input plugin that collects metrics for output plugin
    <source>
      @id prometheus_output_monitor
      @type prometheus_output_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
    # input plugin that collects metrics for in_tail plugin
    <source>
      @id prometheus_tail_monitor
      @type prometheus_tail_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
  output.conf: |-
    <match **>
      @id elasticsearch
      @type elasticsearch
      @log_level info
      type_name _doc
      include_tag_key true
      host elasticsearch-logging
      port 9200
      logstash_format true
      <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
        total_limit_size 500M
        overflow_action block
      </buffer>
    </match>

fluentd-es-ds.yaml

apiVersion: v1
kind: ServiceAccount
metadata:
  name: fluentd-es
  namespace: logging
  labels:
    k8s-app: fluentd-es
    addonmanager.kubernetes.io/mode: Reconcile
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: fluentd-es
  labels:
    k8s-app: fluentd-es
    addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
  - ""
  resources:
  - "namespaces"
  - "pods"
  verbs:
  - "get"
  - "watch"
  - "list"
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: fluentd-es
  labels:
    k8s-app: fluentd-es
    addonmanager.kubernetes.io/mode: Reconcile
subjects:
- kind: ServiceAccount
  name: fluentd-es
  namespace: logging
  apiGroup: ""
roleRef:
  kind: ClusterRole
  name: fluentd-es
  apiGroup: ""
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: fluentd-es-v3.1.1
  namespace: logging
  labels:
    k8s-app: fluentd-es
    version: v3.1.1
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: fluentd-es
      version: v3.1.1
  template:
    metadata:
      labels:
        k8s-app: fluentd-es
        version: v3.1.1
    spec:
      securityContext:
        seccompProfile:
          type: RuntimeDefault
      priorityClassName: system-node-critical
      serviceAccountName: fluentd-es
      containers:
      - name: fluentd-es
        image: registry.cn-beijing.aliyuncs.com/dotbalo/fluentd:v3.1.0
        env:
        - name: FLUENTD_ARGS
          value: --no-supervisor -q
        resources:
          limits:
            memory: 500Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlogcontainers
          mountPath: /var/log/containers
          readOnly: true
        - name: dockercontainerlogdirectory
          mountPath: /var/log/pods
          readOnly: true
        - name: config-volume
          mountPath: /etc/fluent/config.d
        ports:
        - containerPort: 24231
          name: prometheus
          protocol: TCP
        livenessProbe:
          tcpSocket:
            port: prometheus
          initialDelaySeconds: 5
          timeoutSeconds: 10
        readinessProbe:
          tcpSocket:
            port: prometheus
          initialDelaySeconds: 5
          timeoutSeconds: 10
      terminationGracePeriodSeconds: 30
      nodeSelector:
        fluentd: "true"
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlogcontainers
        hostPath:
          path: /var/log/containers
      - name: dockercontainerlogdirectory
        hostPath:
          path: /var/log/pods
      - name: config-volume
        configMap:
          name: fluentd-es-config-v0.2.1

4.创建kibana

kibana的两个文件需要稍作修改

kibana-service.yaml

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: logging
  labels:
    k8s-app: kibana-logging
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
    kubernetes.io/name: "Kibana"
spec:
  type: NodePort
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
    nodePort: 30022
  selector:
    k8s-app: kibana-logging

kibana-deployment.yaml

将文件中的下面两行注释掉，不然访问不了

#            - name: SERVER_BASEPATH
#              value: /api/v1/namespaces/logging/services/kibana-logging/proxy

然后创建

kubectl create -f kibana-service.yaml
kubectl create -f kibana-deployment.yaml

5.浏览器访问kibana

先创建对应的索引，然后选择需要的字段，就可以看到内容了

注意： 这种方式主要是收集k8s打到控制台的日志，也就是/var/lib/docker/containers这里的json日志文件，收集这种日志文件还有个前提，就是你的k8s运行时组件是docker，而不是container，要不然是收集不到的，接下来是收集业务容器内日志

containerd :
日志存储路径：
真实路径：/var/log/pods/$CONTAINER_NAMES
软连接：同时kubelet也会在/var/log/containers目录下创建软链接指向/var/log/pods/$CONTAINER_NAMES
docker:
真实路径：/var/lib/docker/containers/$CONTAINERID
软连接：kubelet会在/var/log/pods和/var/log/containers创建软连接指向/var/lib/docker/containers/$CONTAINERID

上面的

---

============================== 分割线 =============================================

---

二.收集业务容器内日志

这种架构是采用filebeat+kafka+zookeeper+logstash+es+kibana来做的，所需的文件可以在这找

https://github.com/dotbalo/k8s/tree/master/fklek/7.x

1.安装zookeeper+kafka

我们采用helm的方式来安装，比较快

wget https://get.helm.sh/helm-v3.1.2-linux-amd64.tar.gz
tar xf helm-v3.1.2-linux-amd64.tar.gz
mv linux-amd64/ helm
cd helm/
cp -r helm /usr/local/bin/
helm version

添加两个仓库
helm repo add bitnami https://charts.bitnami.com/bitnami
helm repo add ali-stable https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts

注意最后的 点 别忘了

helm pull bitnami/zookeeper
tar xf zookeeper-11.1.2.tgz
cd zookeeper/
helm install zookeeper -n logging --set auth.enabled=false --set allowAnonymousLogin=true --set persistence.enabled=false .
cd ../
helm pull bitnami/kafka
tar xf kafka-20.0.6.tgz
cd kafka/
helm install kafka -n logging --set zookeeper.enabled=false --set replicaCount=1 --set externalZookeeper.servers=zookeeper --set persistence.enabled=false .

kubectl get pod -n logging

注意：如果需要调整一些参数，需要编辑values.yaml文件
另外，helm卸载命令如下

helm uninstall zookeeper -n logging

2.安装logstash

logstash的版本最好和之前安装的es的版本一致

cd /root/k8s/yaml/efk/filebeat/
kubectl create -f filebeat-cm.yaml -n logging 
kubectl create -f logstash-cm.yaml -n logging
kubectl create -f logstash-service.yaml -n logging 
kubectl create -f logstash-deploy.yaml -n logging 

3.安装业务pod

业务pod以便车模式绑定filebeat容器，然后共享日志目录，这样filebeat就可以直接收集对应日志，并发送到kafka，再由logstash打到es

kubectl create -f app.yaml -n logging 

安装的时候，下面记得修改为你自己的标签

nodeSelector:
         kubernetes.io/hostname: 172.16.0.2

4.浏览器访问kibana

建立索引，然后查看数据，查看之前先生成一些数据，进到app业务pod中，再到共享的日志目录，创建日志文件，循环写入一些日志

kubectl exec -it -n logging app-8477d9675b-fd4v5 -c app -- sh
cd /home/tomcat/target/
touch 123.log
for i in `seq 1 100`;do echo $i >> 123.log ;done

这个索引名字是在logstash-cm.yaml 中定义的，可自行查看

图中可以看到收集到的日志信息