1、Fluentd在K8s的部署

参考部署Yaml

Fluentd部署Yaml：

apiVersion: v1
kind: ServiceAccount
metadata:
  name: fluentd-es
  namespace: kube-system
  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: kube-system
  apiGroup: ""
roleRef:
  kind: ClusterRole
  name: fluentd-es
  apiGroup: ""
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: fluentd-es-v3.0.2
  namespace: kube-system
  labels:
    k8s-app: fluentd-es
    version: v3.0.2
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: fluentd-es
      version: v3.0.2
  template:
    metadata:
      labels:
        k8s-app: fluentd-es
        version: v3.0.2
    spec:
      securityContext:
        seccompProfile:
          type: RuntimeDefault
      priorityClassName: system-node-critical
      serviceAccountName: fluentd-es
      containers:
      - name: fluentd-es
        image: quay.io/fluentd_elasticsearch/fluentd:v3.0.2
        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: /var/lib/docker/containers
          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
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers
      - name: config-volume
        configMap:
          name: fluentd-es-config-v0.2.0

Fluentd ConfigMap：

kind: ConfigMap
apiVersion: v1
metadata:
  name: fluentd-es-config-v0.2.0
  namespace: kube-system
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
data:
   fluentd.conf: |-
     <source>
      @id fluentd-envoy1.log
	  @type tail
	  path /var/log/containers/envoy1*gateway*.log
	  pos_file /var/log/envoy1.log.pos
	  tag raw.container.*
	  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>

	<source>
	  @id fluentd-envoy2.log
	  @type tail
	  path /var/log/containers/envoy2*gateway*.log
	  pos_file /var/log/envoy2.log.pos
	  tag raw.container.*
	  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.container.**>
	  @id raw.container
	  @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 container.**>
	  @id filter_concat
	  @type concat
	  key message
	  multiline_end_regexp /\n$/
	  separator ""
	</filter>

	# Enriches records with container metadata
	<filter container.**>
	  @id filter_kubernetes_metadata
	  @type kubernetes_metadata
	</filter>

	# Fixes json fields in Elasticsearch
	<filter container.**>
	  @id filter_parser
	  @type parser
	  key_name log
	  reserve_data true
	  remove_key_name_field true
	  
	  <parse>
	   @type multi_format
	   <pattern>
		 format regexp
		 expression /^\[(?<start_time>[^\]]*)\] "(?<method>\S+)(?: +(?<uri>(?:[^\"]|\\.)*?)(?: +\S*)?) (?<protocol>\S+)?" (?<response_code>\S+) (?<response_flags>\S+) (?<bytes_received>\S+) (?<bytes_sent>\S+) (?<duration>\S+) (?<upstream_service_time>\S+) "(?<x_forwarded_for>[^\"]*)" "(?<user_agent>[^\"]*)" "(?<x_request_id>[^\"]*)" "(?<authority>[^\"]*)" "(?<upstream_host>[^\"]*)"?$/
		 types start_time:string,method:string,uri:string,protocol:string,response_code:string,response_flags:string,bytes_received:integer,bytes_sent:integer,duration:integer,upstream_service_time:string,x_forwarded_for:string,user_agent:string,x_request_id:string,authority:string,upstream_host:string
	   </pattern>
	  </parse>
	</filter>

	<filter **>
	  @type record_transformer
	  <record>
		user    test
		cluster cluster
	  </record>
	</filter>

	<match container**>
	  @id elasticsearch
	  @type elasticsearch
	  @log_level info
	  type_name _doc
	  include_tag_key true
	  hosts elasticsearch:9200
	  user admin
	  password 123456
	  logstash_format true
	  logstash_prefix envoy-logs
	  <buffer>
		@type file
		path /var/log/fluentd-buffers/envoy.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>

 需要注意的内容：

（1）使用多个Source是为了采集指定的Pod日志，避免采集其他服务的日志

（2）使用record_transformer是为了标记采集的集群及采集用户

（3）使用filter_parser是为了对Envoy日志中的每个字段进行拆分，并插入ElasticSearch中，便于进行统计