作者：京东科技 刘恩浩 一、纳尼背景基于K8s集群的自建私有化交付方案中，日志收集采用了 ilogtail+logstash+kafka+es方案，集群其中ilogtail负责日志收集，日志logstash负责对数据转换，收集kafka负责对日志传递中的通过消峰进而减少es的写入压力，es用来保存日志数据。纳尼在私有化交付中本方案中涉及的自建中间件一般需要单独部署，但是集群在京东内网环境的部署考虑到kafka和es的高可用，则不推荐采用单独部署的日志方案。 
二、收集新方案实践1.新方案简介在京东内网环境部署 K8S并 收集日志，通过 kafka+es的纳尼替代方案考虑使用 yhQ+JES，由于yhQ的自建底层是基于kafaka、服务器托管JES的集群底层基于ES，所以该替换方案理论上是可行的 2.主要架构数据流向大致如下 应用日志 -> ilogtail -> yhQ-> logstash -> JES3.如何使用核心改造点汇总ilogtail nameservers配置 增加解析yhQ域名的nameserver（京东云主机上无法直接解析.local域名） spec: spec: dnsPolicy: "None" dnsConfig: nameservers: - x.x.x.x # 可以解析yhq域名的nameserver ilogtail flushers配置 调整发送到yhQ到配置 apiVersion: v1kind: ConfigMapmetadata: name: ilogtail-user-cm namespace: elastic-systemdata: app_stdout.yaml: | flushers: - Type: flusher_stdout OnlyStdout: true - Type: flusher_kafka_v2 Brokers: - nameserver.yhq.jd.local:80 # yhq元数据地址 Topic: ai-middle-k8s-log-prod # yhq topic ClientID: ai4middle4log # Kafka的用户ID（识别客户端并设置其唯一性），对应yhq的Group名称，重要‼️ （https://ilogtail.gitbook.io/ilogtail-docs/plugins/input/service-kafka#cai-ji-pei-zhi-v2） logstash kafka&es配置 apiVersion: v1kind: ConfigMapmetadata: name: logstash-config namespace: elastic-system labels: elastic-app: logstashdata: logstash.conf: |- input { kafka { bootstrap_servers => ["nameserver.yhq.jd.local:80"] #yhq的元数据地址 group_id => "ai4middle4log" # yhq的Group的名称 client_id => "ai4middle4log" # yhq的Group的名称，即yhq的省略了kafka中的client_id概念，用Group名称代替 consumer_threads => 2 decorate_events => true topics => ["ai-middle-k8s-log-prod"] # yhp的topic auto_offset_reset => "latest" codec => json { charset => "UTF-8" } } } output { elasticsearch { hosts => ["http://x.x.x.x:40000","http://x.x.x.x:40000","http://x.x.x.x:40000"] # es地址 index => "%{[@metadata][kafka][topic]}-%{+YYYY-MM-dd}" # 索引规则 user => "XXXXXX" #jes的用户名 password => "xxxxx" #jes的密码 ssl => "false" ssl_certificate_verification => "false" } } ilogtail 的配置如下# ilogtail-daemonset.yamlapiVersion: apps/v1kind: DaemonSetmetadata: name: ilogtail-ds namespace: elastic-system labels: k8s-app: logtail-dsspec: selector: matchLabels: k8s-app: logtail-ds template: metadata: labels: k8s-app: logtail-ds spec: dnsPolicy: "None" dnsConfig: nameservers: - x.x.x.x # （京东云主机上）可以解析yhq域名的站群服务器nameserver tolerations: - operator: Exists # deploy on all nodes containers: - name: logtail env: - name: ALIYUN_LOG_ENV_TAGS # add log tags from env value: _node_name_|_node_ip_ - name: _node_name_ valueFrom: fieldRef: apiVersion: v1 fieldPath: spec.nodeName - name: _node_ip_ valueFrom: fieldRef: apiVersion: v1 fieldPath: status.hostIP - name: cpu_usage_limit # iLogtails self monitor cpu limit value: "1" - name: mem_usage_limit # iLogtails self monitor mem limit value: "512" image: dockerhub.ai.jd.local/ai-middleware/ilogtail-community-edition/ilogtail:1.3.1 imagePullPolicy: IfNotPresent resources: limits: cpu: 1000m memory: 1Gi requests: cpu: 400m memory: 384Mi volumeMounts: - mountPath: /var/run # for container runtime socket name: run - mountPath: /logtail_host # for log access on the node mountPropagation: HostToContainer name: root readOnly: true - mountPath: /usr/local/ilogtail/checkpoint # for checkpoint between container restart name: checkpoint - mountPath: /usr/local/ilogtail/user_yaml_config.d # mount config dir name: user-config readOnly: true - mountPath: /usr/local/ilogtail/apsara_log_conf.json name: apsara-log-config readOnly: true subPath: apsara_log_conf.json dnsPolicy: ClusterFirst hostNetwork: true volumes: - hostPath: path: /var/run type: Directory name: run - hostPath: path: / type: Directory name: root - hostPath: path: /etc/ilogtail-ilogtail-ds/checkpoint type: DirectoryOrCreate name: checkpoint - configMap: defaultMode: 420 name: ilogtail-user-cm name: user-config - configMap: defaultMode: 420 name: ilogtail-apsara-log-config-cm name: apsara-log-config # ilogtail-user-configmap.yamlapiVersion: v1kind: ConfigMapmetadata: name: ilogtail-user-cm namespace: elastic-systemdata: app_stdout.yaml: | enable: true inputs: - Type: service_docker_stdout Stderr: true Stdout: true K8sNamespaceRegex: ai-train ExternalK8sLabelTag: platform/resource-name: k8s_label_resource-name platform/task-identify: k8s_label_task-identify task-id: k8s_label_task-id run-id: k8s_label_run-id request-id: k8s_label_request-id processors: - Type: processor_rename SourceKeys: - k8s_label_resource-name - k8s_label_task-identify - k8s_label_task-id - k8s_label_run-id - k8s_label_request-id - _namespace_ - _image_name_ - _pod_uid_ - _pod_name_ - _container_name_ - _container_ip_ - __path__ - _source_ DestKeys: - resource_name - task_identify - task_id - run_id - request_id - namespace - image_name - pod_uid - pod_name - container_name - container_ip - path - source flushers: - Type: flusher_stdout OnlyStdout: true - Type: flusher_kafka_v2 Brokers: - nameserver.yhq.jd.local:80 # yhq元数据地址 Topic: ai-middle-k8s-log-prod # yhq topic ClientID: ai4middle4log # Kafka的用户ID（识别客户端并设置其唯一性），对应yhq的Group名称，重要‼️ （https://ilogtail.gitbook.io/ilogtail-docs/plugins/input/service-kafka#cai-ji-pei-zhi-v2） app_file_log.yaml: | enable: true inputs: - Type: file_log LogPath: /export/Logs/ai-dt-algorithm-tools FilePattern: "*.log" ContainerInfo: K8sNamespaceRegex: ai-train ExternalK8sLabelTag: platform/resource-name: k8s_label_resource-name platform/task-identify: k8s_label_task-identify task-id: k8s_label_task-id run-id: k8s_label_run-id request-id: k8s_label_request-id processors: - Type: processor_add_fields Fields: source: file - Type: processor_rename SourceKeys: - __tag__:k8s_label_resource-name - __tag__:k8s_label_task-identify - __tag__:k8s_label_task-id - __tag__:k8s_label_run-id - __tag__:k8s_label_request-id - __tag__:_namespace_ - __tag__:_image_name_ - __tag__:_pod_uid_ - __tag__:_pod_name_ - __tag__:_container_name_ - __tag__:_container_ip_ - __tag__:__path__ DestKeys: - resource_name - task_identify - task_id - run_id - request_id - namespace - image_name - pod_uid - pod_name - container_name - container_ip - path flushers: - Type: flusher_stdout OnlyStdout: true - Type: flusher_kafka_v2 Brokers: - nameserver.yhq.jd.local:80 Topic: ai-middle-k8s-log-prod ClientID: ai4middle4log logstash 的配置如下# logstash-configmap.yaml---apiVersion: v1kind: ConfigMapmetadata: name: logstash-config namespace: elastic-system labels: elastic-app: logstashdata: logstash.conf: |- input { kafka { bootstrap_servers => ["nameserver.yhq.jd.local:80"] #yhq的元数据地址 #group_id => "services" group_id => "ai4middle4log" # yhq的Group的名称 client_id => "ai4middle4log" # yhq的Group的名称，即yhq的省略了kafka中的client_id概念，用Group名称代替 consumer_threads => 2 decorate_events => true #topics_pattern => ".*" topics => ["ai-middle-k8s-log-prod"] # yhp的topic auto_offset_reset => "latest" codec => json { charset => "UTF-8" } } } filter { ruby { code => "event.set(index_date, event.get(@timestamp).time.localtime + 8*60*60)" } ruby { code => "event.set(message,event.get(contents))" } #ruby { # code => "event.set(@timestamp,event.get(time).time.localtime)" #} mutate { remove_field => ["contents"] convert => ["index_date", "string"] #convert => ["@timestamp", "string"] gsub => ["index_date", "T.*Z",""] #gsub => ["@timestamp", "T.*Z",""] } } output { elasticsearch { #hosts => ["https://ai-middle-cluster-es-http:9200"] hosts => ["http://x.x.x.x:40000","http://x.x.x.x:40000","http://x.x.x.x:40000"] # es地址 index => "%{[@metadata][kafka][topic]}-%{+YYYY-MM-dd}" # 索引规则 user => "XXXXXX" #jes的用户名 password => "xxxxx" #jes的密码 ssl => "false" ssl_certificate_verification => "false" #cacert => "/usr/share/logstash/cert/ca_logstash.cer" } stdout { codec => rubydebug } } 4.核心价值在私有化部署的基础上通过简单改造实现了与京东内部中间件的完美融合，使得系统在高可用性上适应性更强、可用范围更广。 |
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