EFKLK日志收集工具栈

kubectl create namespace kube-log

# 下载es镜像
docker pull elasticsearch:7.13.1

# 运行容器生成证书
$ docker run --name elastic-certs -i elasticsearch:7.13.1 /bin/sh -c  
  "elasticsearch-certutil ca --out /tmp/elastic-stack-ca.p12 --pass '' && 
    elasticsearch-certutil cert --name security-master --dns 
    security-master --ca /tmp/elastic-stack-ca.p12 --pass '' --ca-pass '' 
    --out /tmp/elastic-certificates.p12"

# 从容器中将生成的证书拷贝出来
$ docker cp elastic-certs:/tmp/elastic-certificates.p12 .

# 删除容器
$ docker rm -f elastic-certs

# 将 pcks12 中的信息分离出来，写入文件
$ openssl pkcs12 -nodes -passin pass:'' -in elastic-certificates.p12 -out elastic-certificate.pem

# 添加证书
$ kubectl create secret -n kube-log generic elastic-certs --from-file=elastic-certificates.p12

# 设置集群用户名密码
$ kubectl create secret -n kube-log generic elastic-auth --from-literal=username=elastic --from-literal=password=elastic123

helm repo add elastic https://helm.elastic.co
helm repo update

helm pull elastic/elasticsearch --untar --version 7.13.1
cd elasticsearch/

cat << EOF | sudo tee values-master.yaml >> /dev/null
## 设置集群名称
clusterName: "elasticsearch"
## 设置节点名称
nodeGroup: "master"

## 设置角色
roles:
  master: "true"
  ingest: "false"
  data: "false"

# ============镜像配置============
## 指定镜像与镜像版本
image: "elasticsearch"
imageTag: "7.13.1"
## 副本数
replicas: 3

# ============资源配置============
## JVM 配置参数
esJavaOpts: "-Xmx1g -Xms1g"
## 部署资源配置(生成环境一定要设置大些)
resources:
  requests:
    cpu: "2000m"
    memory: "2Gi"
  limits:
    cpu: "2000m"
    memory: "2Gi"
## 数据持久卷配置
persistence:
  enabled: true
## 存储数据大小配置
volumeClaimTemplate:
  storageClassName: csi-rbd-sc
  accessModes: ["ReadWriteOnce"]
  resources:
    requests:
      storage: 10Gi

# ============安全配置============
## 设置协议，可配置为 http、https
protocol: http
## 证书挂载配置，这里我们挂入上面创建的证书
secretMounts:
  - name: elastic-certs
    secretName: elastic-certs
    path: /usr/share/elasticsearch/config/certs

## 允许您在/usr/share/elasticsearch/config/中添加任何自定义配置文件,例如 elasticsearch.yml
## ElasticSearch 7.x 默认安装了 x-pack 插件，部分功能免费，这里我们配置下
## 下面注掉的部分为配置 https 证书，配置此部分还需要配置 helm 参数 protocol 值改为 https
esConfig:
  elasticsearch.yml: |
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    xpack.security.transport.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.enabled: true
    # xpack.security.http.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
## 环境变量配置，这里引入上面设置的用户名、密码 secret 文件
extraEnvs:
  - name: ELASTIC_USERNAME
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: username
  - name: ELASTIC_PASSWORD
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: password

# ============调度配置============
## 设置调度策略
## - hard：只有当有足够的节点时 Pod 才会被调度，并且它们永远不会出现在同一个节点上
## - soft：尽最大努力调度
antiAffinity: "soft"
tolerations:
  - operator: "Exists" ##容忍全部污点
EOF

cat << EOF | sudo tee values-data.yaml >> /dev/null
# ============设置集群名称============
## 设置集群名称
clusterName: "elasticsearch"
## 设置节点名称
nodeGroup: "data"
## 设置角色
roles:
  master: "false"
  ingest: "true"
  data: "true"

# ============镜像配置============
## 指定镜像与镜像版本
image: "elasticsearch"
imageTag: "7.13.1"
## 副本数(建议设置为3，我这里资源不足只用了1个副本)
replicas: 1

# ============资源配置============
## JVM 配置参数
esJavaOpts: "-Xmx1g -Xms1g"
## 部署资源配置(生成环境一定要设置大些)
resources:
  requests:
    cpu: "1000m"
    memory: "2Gi"
  limits:
    cpu: "1000m"
    memory: "2Gi"
## 数据持久卷配置
persistence:
  enabled: true
## 存储数据大小配置
volumeClaimTemplate:
  storageClassName: csi-rbd-sc
  accessModes: ["ReadWriteOnce"]
  resources:
    requests:
      storage: 10Gi

# ============安全配置============
## 设置协议，可配置为 http、https
protocol: http
## 证书挂载配置，这里我们挂入上面创建的证书
secretMounts:
  - name: elastic-certs
    secretName: elastic-certs
    path: /usr/share/elasticsearch/config/certs
## 允许您在/usr/share/elasticsearch/config/中添加任何自定义配置文件,例如 elasticsearch.yml
## ElasticSearch 7.x 默认安装了 x-pack 插件，部分功能免费，这里我们配置下
## 下面注掉的部分为配置 https 证书，配置此部分还需要配置 helm 参数 protocol 值改为 https
esConfig:
  elasticsearch.yml: |
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    xpack.security.transport.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.enabled: true
    # xpack.security.http.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
## 环境变量配置，这里引入上面设置的用户名、密码 secret 文件
extraEnvs:
  - name: ELASTIC_USERNAME
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: username
  - name: ELASTIC_PASSWORD
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: password

# ============调度配置============
## 设置调度策略
## - hard：只有当有足够的节点时 Pod 才会被调度，并且它们永远不会出现在同一个节点上
## - soft：尽最大努力调度
antiAffinity: "soft"
## 容忍配置
tolerations:
  - operator: "Exists" ##容忍全部污点
EOF

cat << EOF | sudo tee values-client.yaml >> /dev/null
# ============设置集群名称============
## 设置集群名称
clusterName: "elasticsearch"
## 设置节点名称
nodeGroup: "client"
## 设置角色
roles:
  master: "false"
  ingest: "false"
  data: "false"

# ============镜像配置============
## 指定镜像与镜像版本
image: "elasticsearch"
imageTag: "7.13.1"
## 副本数
replicas: 1

# ============资源配置============
## JVM 配置参数
esJavaOpts: "-Xmx1g -Xms1g"
## 部署资源配置(生成环境一定要设置大些)
resources:
  requests:
    cpu: "1000m"
    memory: "2Gi"
  limits:
    cpu: "1000m"
    memory: "2Gi"
## 数据持久卷配置
persistence:
  enabled: false

# ============安全配置============
## 设置协议，可配置为 http、https
protocol: http
## 证书挂载配置，这里我们挂入上面创建的证书
secretMounts:
  - name: elastic-certs
    secretName: elastic-certs
    path: /usr/share/elasticsearch/config/certs
## 允许您在/usr/share/elasticsearch/config/中添加任何自定义配置文件,例如 elasticsearch.yml
## ElasticSearch 7.x 默认安装了 x-pack 插件，部分功能免费，这里我们配置下
## 下面注掉的部分为配置 https 证书，配置此部分还需要配置 helm 参数 protocol 值改为 https
esConfig:
  elasticsearch.yml: |
    xpack.security.enabled: true
    xpack.security.transport.ssl.enabled: true
    xpack.security.transport.ssl.verification_mode: certificate
    xpack.security.transport.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    xpack.security.transport.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.enabled: true
    # xpack.security.http.ssl.truststore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
    # xpack.security.http.ssl.keystore.path: /usr/share/elasticsearch/config/certs/elastic-certificates.p12
## 环境变量配置，这里引入上面设置的用户名、密码 secret 文件
extraEnvs:
  - name: ELASTIC_USERNAME
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: username
  - name: ELASTIC_PASSWORD
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: password

# ============Service 配置============
service:
  type: NodePort
  nodePort: "30200"
EOF

helm install es-master -f values-master.yaml -n kube-log .
helm install es-data -f values-data.yaml -n kube-log .
helm install es-client -f values-client.yaml -n kube-log .

helm pull elastic/kibana --untar --version 7.13.2
cd kibana

cat << EOF | sudo tee values-prod.yaml >> /dev/null
## 指定镜像与镜像版本
image: "kibana"
imageTag: "7.13.2"

## 配置 ElasticSearch 地址
elasticsearchHosts: "http://elasticsearch-client:9200"

# ============环境变量配置============
## 环境变量配置，这里引入上面设置的用户名、密码 secret 文件
extraEnvs:
  - name: "ELASTICSEARCH_USERNAME"
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: username
  - name: "ELASTICSEARCH_PASSWORD"
    valueFrom:
      secretKeyRef:
        name: elastic-auth
        key: password

# ============资源配置============
resources:
  requests:
    cpu: "500m"
    memory: "1Gi"
  limits:
    cpu: "500m"
    memory: "1Gi"

# ============配置 Kibana 参数============
## kibana 配置中添加语言配置，设置 kibana 为中文
kibanaConfig:
  kibana.yml: |
    i18n.locale: "zh-CN"

# ============Service 配置============
service:
  type: NodePort
  nodePort: "30601"
EOF

helm install kibana -f values-prod.yaml -n kube-log .

kind: ConfigMap
apiVersion: v1
metadata:
  name: fluentd-conf
  namespace: kube-log
data:
  # 容器日志
  containers.input.conf: |-
    <source>
      @id fluentd-containers.log
      @type tail                              # Fluentd 内置的输入方式，其原理是不停地从源文件中获取新的日志
      path /var/log/containers/*.log          # Docker 容器日志路径
      pos_file /var/log/es-containers.log.pos  # 记录读取的位置
      tag raw.kubernetes.*                    # 设置日志标签
      read_from_head true                     # 从头读取
      <parse>                                 # 多行格式化成JSON
        # 可以使用我们介绍过的 multiline 插件实现多行日志
        @type multi_format                    # 使用 multi-format-parser 解析器插件
        <pattern>
          format json                         # JSON解析器
          time_key time                       # 指定事件时间的时间字段
          time_format %Y-%m-%dT%H:%M:%S.%NZ   # 时间格式
        </pattern>
        <pattern>
          format /^(?<time>.+) (?<stream>stdout|stderr) [^ ]* (?<log>.*)$/
          time_format %Y-%m-%dT%H:%M:%S.%N%:z
        </pattern>
      </parse>
    </source>

    # 在日志输出中检测异常(多行日志)，并将其作为一条日志转发
    # https://github.com/GoogleCloudPlatform/fluent-plugin-detect-exceptions
    <match raw.kubernetes.**>           # 匹配tag为raw.kubernetes.**日志信息
      @id raw.kubernetes
      @type detect_exceptions           # 使用detect-exceptions插件处理异常栈信息
      remove_tag_prefix raw             # 移除 raw 前缀
      message log
      multiline_flush_interval 5
    </match>

    <filter **>  # 拼接日志
      @id filter_concat
      @type concat                # Fluentd Filter 插件，用于连接多个日志中分隔的多行日志
      key message
      multiline_end_regexp /
$/  # 以换行符“
”拼接
      separator ""
    </filter>

    # 添加 Kubernetes metadata 数据
    <filter kubernetes.**>
      @id filter_kubernetes_metadata
      @type kubernetes_metadata
    </filter>

    # 修复 ES 中的 JSON 字段
    # 插件地址：https://github.com/repeatedly/fluent-plugin-multi-format-parser
    <filter kubernetes.**>
      @id filter_parser
      @type parser                # multi-format-parser多格式解析器插件
      key_name log                # 在要解析的日志中指定字段名称
      reserve_data true           # 在解析结果中保留原始键值对
      remove_key_name_field true  # key_name 解析成功后删除字段
      <parse>
        @type multi_format
        <pattern>
          format json
        </pattern>
        <pattern>
          format none
        </pattern>
      </parse>
    </filter>

    # 删除一些多余的属性
    <filter kubernetes.**>
      @type record_transformer
      remove_keys $.docker.container_id,$.kubernetes.container_image_id,$.kubernetes.pod_id,$.kubernetes.namespace_id,$.kubernetes.master_url,$.kubernetes.labels.pod-template-hash
    </filter>

    # 只保留具有logging=true标签的Pod日志
    <filter kubernetes.**>
      @id filter_log
      @type grep
      <regexp>
        key $.kubernetes.labels.logging
        pattern ^true$
      </regexp>
    </filter>

  ###### 监听配置，一般用于日志聚合用 ######
  forward.input.conf: |-
    # 监听通过TCP发送的消息
    <source>
      @id forward
      @type forward
    </source>

  output.conf: |-
    <match **>
      @id elasticsearch
      @type elasticsearch
      @log_level info
      include_tag_key true
      host elasticsearch-client
      port 9200
      # es 账号
      user elastic
      # es 密码
      password elastic123
      logstash_format true
      logstash_prefix k8s
      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>

cat <<EOF | sudo tee Dockerfile
FROM quay.io/fluentd_elasticsearch/fluentd:v3.2.0
RUN echo "source 'https://mirrors.tuna.tsinghua.edu.cn/rubygems/'" > Gemfile && gem install bundler
RUN gem install fluent-plugin-kafka -v 0.16.1 --no-document
EOF

docker build -t ecloudedu/fluentd-kafka:v3.2.0 .

docker login https://hub.docker.com
Username: ecloudedu
Password: 

docker pull ecloudedu/fluentd-kafka:v3.2.0



kubectl exec --tty -i kafka-client --namespace kube-log -- bash
kafka-console-consumer.sh --bootstrap-server kafka.kube-log.svc.cluster.local:9092 --topic messages --from-beginning