基于K8S编排部署EFK日志收集系统
基于K8S编排部署EFK日志收集系统
案例分析
1. 规划节点
节点规划，见表1。
表1 节点规划
| IP | 主机名 | 节点 |
|---|---|---|
| 192.168.100.3 | master | k8s-master |
| 192.168.100.4 | node | k8s-node |
2. 基础准备
Kubernete环境已安装完成，将提供的软件包efk-img.tar.gz上传至master节点/root目录下并解压。
3. EFK简介
EFK 代表 Elasticsearch、Fluentd 和 Kibana。EFK 是 Kubernetes 日志聚合和分析的常用且最佳的开源选择。
- Elasticsearch 是一种分布式且可扩展的搜索引擎，通常用于筛选大量日志数据。它是一个基于 Lucene 搜索引擎（来自 Apache 的搜索库）的 NoSQL 数据库。它的主要工作是存储日志并从 fluentd 检索日志。
- Fluentd 是一家原木运输商。它是一个开源的日志收集代理，支持多种数据源和输出格式。此外，它还可以将日志转发到 Stackdriver、Cloudwatch、elasticsearch、Splunk、Bigquery 等解决方案。简而言之，它是生成日志数据的系统和存储日志数据的系统之间的统一层。
- Kibana 是用于查询、数据可视化和仪表板的 UI 工具。它是一个查询引擎，允许您通过 Web 界面浏览日志数据，为事件日志构建可视化效果，特定于查询以筛选信息以检测问题。您可以使用 Kibana 虚拟构建任何类型的仪表板。Kibana 查询语言 （KQL） 用于查询 Elasticsearch 数据。在这里，我们使用 Kibana 在 Elasticsearch 中查询索引数据。
案例实施
1. 基础环境准备
（1）导入软件包
[root@master ~]# nerdctl load -i efk-img.tar.gz
查看集群状态：
[root@master ~]# kubectl cluster-info
Kubernetes control plane is running at https://apiserver.cluster.local:6443
CoreDNS is running at https://apiserver.cluster.local:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
2. 配置StorageClass 动态绑定
（1）配置NFS Server端
[root@master ~]# yum install -y nfs-utils rpcbind
设置 NFS 服务开机自启
[root@master ~]# systemctl enable nfs rpcbind --now
创建EFK共享目录
[root@master ~]# mkdir -p /root/data/
[root@master ~]# chmod -R 777 /root/data/
编辑 NFS 配置文件
[root@master ~]# vim /etc/exports
/root/data/ *(rw,sync,no_all_squash,no_root_squash)
刷新 NFS 导出列表并启动 NFS 服务
[root@master ~]# exportfs -r
[root@master ~]# systemctl restart nfs
查看 NFS 共享的导出状态
[root@master ~]# showmount -e
Export list for master:
/root/data *
（2）创建ServiceAccount并配置RBAC
创建目录存放EFK配置文件
[root@master ~]# mkdir efk
[root@master ~]# cd efk/
编写 rbac 配置文件
[root@master efk]# vim rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: nfs-client-provisioner
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: leader-locking-nfs-client-provisioner
rules:
- apiGroups:
- ""
resources:
- endpoints
verbs:
- get
- list
- watch
- create
- update
- patch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: leader-locking-nfs-client-provisioner
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: leader-locking-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: nfs-client-provisioner-runner
rules:
- apiGroups:
- ""
resources:
- persistentvolumes
verbs:
- get
- list
- watch
- create
- delete
- apiGroups:
- ""
resources:
- persistentvolumeclaims
verbs:
- get
- list
- watch
- update
- apiGroups:
- ""
resources:
- endpoints
verbs:
- get
- list
- watch
- create
- update
- patch
- apiGroups:
- storage.k8s.io
resources:
- storageclasses
verbs:
- get
- list
- watch
- apiGroups:
- ""
resources:
- events
verbs:
- create
- update
- patch
- apiGroups:
- ""
resources:
- pods
- namespaces
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: run-nfs-client-provisioner
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: nfs-client-provisioner-runner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
namespace: default
部署 rbac 文件
[root@master efk]# kubectl apply -f rbac.yaml
（3）配置NFS Provisioner
导入镜像包
[root@master ~]# nerdctl -n k8s.io load -i nfs-subdir-external-provisioner-v4.0.2.tar
编写 nfs 配置文件
[root@master efk]# vim nfs-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nfs-client-provisioner # 部署对象名称为 nfs-client-provisioner
namespace: default # 部署在 default 命名空间
spec:
replicas: 1 # 副本数量为 1
selector:
matchLabels:
app: nfs-client-provisioner # 选择带有此标签的 Pod
template:
metadata:
labels:
app: nfs-client-provisioner # 为 Pod 设置标签
spec:
serviceAccountName: nfs-client-provisioner # 使用 nfs-client-provisioner 服务账号
containers:
- name: nfs-client-provisioner # 容器名称为 nfs-client-provisioner
image: registry.k8s.io/sig-storage/nfs-subdir-external-provisioner:v4.0.2 # 使用指定版本的 NFS provisioner 镜像
imagePullPolicy: IfNotPresent
env:
- name: PROVISIONER_NAME # 设置环境变量 PROVISIONER_NAME
value: nfs.client.com # 环境变量的值为 nfs.client.com
- name: NFS_SERVER # 设置 NFS 服务端地址
value: 192.168.100.3 # 替换为实际的 NFS 服务端 IP 地址
- name: NFS_PATH # 设置 NFS 共享目录路径
value: /root/data/ # 替换为实际的 NFS 共享目录路径
volumeMounts:
- name: nfs-client-root # 数据卷挂载点名称
mountPath: /persistentvolumes # 容器内的挂载路径
volumes:
- name: nfs-client-root # 定义 NFS 数据卷
nfs:
server: 192.168.100.3 # 替换为实际的 NFS 服务端 IP 地址
path: /root/data/ # 替换为实际的 NFS 共享目录路径径
部署 nfs 文件
[root@master efk]# kubectl apply -f nfs-deployment.yaml
查看 Pod 运行状态
[root@master efk]# kubectl get pod
NAME READY STATUS RESTARTS AGE
nfs-client-provisioner-76fdd7948b-2n9wv 1/1 Running 0 2s
（4）配置StorageClass动态绑定
[root@master efk]# vim storageclass.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: managed-nfs-storage # StorageClass 名称为 managed-nfs-storage
annotations:
storageclass.kubernetes.io/is-default-class: "true" # 使用 annotations 指定为默认 StorageClass
provisioner: nfs.client.com # 设置 Provisioner 为 nfs.client.com，对应 NFS Provisioner
parameters:
archiveOnDelete: "false" # 当 PVC 被删除时，NFS 上的持久卷不会被自动删除
部署 StorageClass 文件
[root@master efk]# kubectl apply -f storageclass.yaml
3. 配置EFK
（1）配置Elasticsearch
[root@master efk]# vim elasticsearch.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: es-cluster
spec:
serviceName: elasticsearch
replicas: 3
selector:
matchLabels:
app: elasticsearch
template:
metadata:
labels:
app: elasticsearch
spec:
serviceAccountName: nfs-client-provisioner # 使用 NFS 服务账号提供卷服务
initContainers:
- name: fix-permissions
image: busybox
imagePullPolicy: IfNotPresent
command: ["sh", "-c", "chown -R 1000:1000 /usr/share/elasticsearch/data"]
securityContext:
privileged: true
volumeMounts:
- name: elasticsearch-data
mountPath: /usr/share/elasticsearch/data
- name: increase-vm-max-map
image: busybox
imagePullPolicy: IfNotPresent
command: ["sysctl", "-w", "vm.max_map_count=262144"]
securityContext:
privileged: true
- name: increase-fd-ulimit
image: busybox
imagePullPolicy: IfNotPresent
command: ["sh", "-c", "ulimit -n 65536"]
securityContext:
privileged: true
containers:
- name: elasticsearch
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
imagePullPolicy: IfNotPresent
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
ports:
- containerPort: 9200
name: rest
protocol: TCP
- containerPort: 9300
name: inter-node
protocol: TCP
volumeMounts:
- name: elasticsearch-data
mountPath: /usr/share/elasticsearch/data
env:
- name: cluster.name
value: k8s-logs
- name: node.name
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: discovery.seed_hosts
value: "es-cluster-0.elasticsearch,es-cluster-1.elasticsearch,es-cluster-2.elasticsearch"
- name: cluster.initial_master_nodes
value: "es-cluster-0,es-cluster-1,es-cluster-2"
- name: ES_JAVA_OPTS
value: "-Xms512m -Xmx512m"
volumeClaimTemplates:
- metadata:
name: elasticsearch-data
labels:
app: elasticsearch
annotations:
volume.beta.kubernetes.io/storage-class: "managed-nfs-storage" # 存储类的名称，使用 NFS 存储
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 100Gi
部署 elasticsearch-sts 文件
[root@master efk]# kubectl apply -f elasticsearch.yaml
查看 Pod 运行状态
[root@master efk]# kubectl get pod
NAME READY STATUS RESTARTS AGE
es-cluster-0 1/1 Running 0 17s
es-cluster-1 1/1 Running 0 13s
es-cluster-2 1/1 Running 0 7s
nfs-client-provisioner-79865487f9-tnssn 1/1 Running 0 5m29s
配置 service 文件
[root@master efk]# vim elasticsearch-svc.yaml
apiVersion: v1
kind: Service
metadata:
name: elasticsearch
labels:
app: elasticsearch
spec:
selector:
app: elasticsearch
clusterIP: None
ports:
- port: 9200
name: rest
- port: 9300
name: inter-node
部署 service 文件
[root@master efk]# kubectl apply -f elasticsearch-svc.yaml
查看 service
[root@master efk]# kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch ClusterIP None <none> 9200/TCP,9300/TCP 3s
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 7d19h
验证 Elasticsearch 部署 开启端口转发
[root@master efk]# kubectl port-forward es-cluster-0 9200:9200
打开一个新的 Terminal 窗口，以便我们可以查询 REST API 接口
[root@master efk]# curl -XGET 'localhost:9200/_cluster/health?pretty'
{
"cluster_name": "k8s-logs", // 集群的名称为 "k8s-logs"。
"status": "green", // 集群状态为 "green"，表示所有的主分片和副本分片都正常。
"timed_out": false, // 表示查询没有超时。
"number_of_nodes": 3, // 集群中有 3 个节点。
"number_of_data_nodes": 3, // 集群中有 3 个数据节点，表明这些节点存储数据。
"active_primary_shards": 1, // 当前活跃的主分片数量为 1。
"active_shards": 2, // 当前活跃的分片总数为 2（包括主分片和副本分片）。
"relocating_shards": 0, // 当前没有正在重新分配的分片。
"initializing_shards": 0, // 当前没有初始化的分片。
"unassigned_shards": 0, // 当前没有未分配的分片，意味着所有分片都已分配给节点。
"delayed_unassigned_shards": 0, // 当前没有延迟的未分配分片。
"number_of_pending_tasks": 0, // 当前没有待处理的任务。
"number_of_in_flight_fetch": 0, // 当前没有正在进行的获取请求。
"task_max_waiting_in_queue_millis": 0, // 当前没有任务在队列中等待，表示没有延迟。
"active_shards_percent_as_number": 100.0 // 活跃分片百分比为 100，表示所有分片都处于活跃状态。
}
测试 headless 域名解析
### 创建测试Pod
[root@master efk]# vim pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: nslookup
spec:
containers:
- name: data
image: busybox
imagePullPolicy: IfNotPresent
args:
- /bin/sh
- -c
- sleep 36000
部署 Pod 文件
[root@master efk]# kubectl apply -f pod.yaml
测试解析
[root@master efk]# kubectl exec -it nslookup -- sh
/ # nslookup es-cluster-0.elasticsearch.default.svc.cluster.local
Server:10.96.0.10
Address:10.96.0.10:53
Name:es-cluster-0.elasticsearch.default.svc.cluster.local
Address: 10.244.0.18
/ # nslookup elasticsearch.default.svc.cluster.local
Server:10.96.0.10
Address:10.96.0.10:53
Name:elasticsearch.default.svc.cluster.local
Address: 10.244.0.18
Name:elasticsearch.default.svc.cluster.local
Address: 10.244.0.20
Name:elasticsearch.default.svc.cluster.local
Address: 10.244.0.21
（2）配置Kibana
[root@master efk]# vim kibana.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: kibana
labels:
app: kibana
spec:
replicas: 1
selector:
matchLabels:
app: kibana
template:
metadata:
labels:
app: kibana
spec:
containers:
- name: kibana
image: docker.elastic.co/kibana/kibana:7.2.0
imagePullPolicy: IfNotPresent
ports:
- containerPort: 5601
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
env:
- name: ELASTICSEARCH_URL
value: http://elasticsearch.default.svc.cluster.local:9200
部署 kibana 文件
[root@master efk]# kubectl apply -f kibana.yaml
查看 Pod 运行状态
[root@master efk]# kubectl get pod
NAME READY STATUS RESTARTS AGE
es-cluster-0 1/1 Running 0 3m30s
es-cluster-1 1/1 Running 0 3m26s
es-cluster-2 1/1 Running 0 3m20s
kibana-774758dd6c-r5c9s 1/1 Running 0 3s
nfs-client-provisioner-79865487f9-tnssn 1/1 Running 0 8m42s
配置 service 文件
[root@master efk]# vim kibana-svc.yaml
apiVersion: v1
kind: Service
metadata:
name: kibana
labels:
app: kibana
spec:
type: LoadBalancer
ports:
- protocol: TCP
port: 80
targetPort: 5601
selector:
app: kibana
部署 service 文件
[root@master efk]# kubectl apply -f kibana-svc.yaml
查看 service
[root@master efk]# kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch ClusterIP None <none> 9200/TCP,9300/TCP 8m
kibana LoadBalancer 10.99.16.75 <pending> 80:32361/TCP 32s
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 7d19h
验证 Kibana 部署 开启端口转发
[root@master efk]# kubectl port-forward kibana-786f7f49d-4vlqk 5601:5601
打开一个新的 Terminal 窗口，以便我们可以查询 REST API 接口
[root@master efk]# curl http://localhost:5601/app/kibana
（3）配置Fluentd
创建角色文件
[root@master efk]# vim fluentd-rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: fluentd
labels:
app: fluentd
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: fluentd
labels:
app: fluentd
rules:
- apiGroups:
- ""
resources:
- pods
- namespaces
verbs:
- get
- list
- watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: fluentd
roleRef:
kind: ClusterRole
name: fluentd
apiGroup: rbac.authorization.k8s.io
subjects:
- kind: ServiceAccount
name: fluentd
namespace: default
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd
namespace: default
labels:
app: fluentd
spec:
selector:
matchLabels:
app: fluentd
template:
metadata:
labels:
app: fluentd
spec:
serviceAccount: fluentd
serviceAccountName: fluentd
tolerations:
- operator: Exists
containers:
- name: fluentd
image: fluent/fluentd-kubernetes-daemonset:v1.4.2-debian-elasticsearch-1.1
env:
- name: FLUENT_ELASTICSEARCH_HOST
value: "elasticsearch.default.svc.cluster.local"
- name: FLUENT_ELASTICSEARCH_PORT
value: "9200"
- name: FLUENT_ELASTICSEARCH_SCHEME
value: "http"
- name: FLUENTD_SYSTEMD_CONF
value: disable
- name: FLUENT_ELASTICSEARCH_SED_DISABLE
value: "true"
resources:
limits:
cpu: 300m
memory: 512Mi
requests:
cpu: 50m
memory: 100Mi
volumeMounts:
- name: varlog
mountPath: /var/log
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
- name: config
mountPath: /fluentd/etc/kubernetes.conf
subPath: kubernetes.conf
- name: index-template
mountPath: /fluentd/etc/index_template.json
subPath: index_template.json
terminationGracePeriodSeconds: 30
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
- name: config
configMap:
name: fluentd-config
items:
- key: kubernetes.conf
path: kubernetes.conf
- name: index-template
configMap:
name: fluentd-config
items:
- key: index_template.json
path: index_template.json
部署 fluentd-role 文件
[root@master efk]# kubectl apply -f fluentd-rbac.yaml
创建 configmap 文件
[root@master efk]# vim fluentd-config.yaml
kind: ConfigMap
apiVersion: v1
metadata:
name: fluentd-config
labels:
addonmanager.kubernetes.io/mode: Reconcile
data:
kubernetes.conf: |-
# AUTOMATICALLY GENERATED
# DO NOT EDIT THIS FILE DIRECTLY, USE /templates/conf/kubernetes.conf.erb
<match fluent.**>
@type elasticsearch
request_timeout 2147483648
include_tag_key true
host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
path "#{ENV['FLUENT_ELASTICSEARCH_PATH']}"
scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
ssl_version "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERSION'] || 'TLSv1'}"
reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'false'}"
reconnect_on_error "#{ENV['FLUENT_ELASTICSEARCH_RECONNECT_ON_ERROR'] || 'true'}"
reload_on_failure "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_ON_FAILURE'] || 'true'}"
log_es_400_reason "#{ENV['FLUENT_ELASTICSEARCH_LOG_ES_400_REASON'] || 'false'}"
logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
logstash_format "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_FORMAT'] || 'true'}"
index_name "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_INDEX_NAME'] || 'logstash'}"
type_name "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_TYPE_NAME'] || 'fluentd'}"
enable_ilm true
#ilm_policy_id watch-history-ilm-policy
#ilm_policy_overwrite false
#rollover_index true
#ilm_policy {}
template_name delete-after-7days
template_file /fluentd/etc/index_template.json
#customize_template {"<<index_prefix>>": "fluentd"}
<buffer>
@type file
path /var/log/fluentd-buffer
flush_thread_count "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_FLUSH_THREAD_COUNT'] || '8'}"
flush_interval "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_FLUSH_INTERVAL'] || '5s'}"
chunk_limit_size "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_CHUNK_LIMIT_SIZE'] || '4M'}"
queue_limit_length "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_QUEUE_LIMIT_LENGTH'] || '32'}"
retry_max_interval "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_RETRY_MAX_INTERVAL'] || '30'}"
retry_forever true
</buffer>
</match>
<source>
@type tail
tag kubernetes.*
path /var/log/containers/*.log
pos_file /var/log/kube-containers.log.pos
read_from_head false
<parse>
@type multi_format
<pattern>
format json
time_format %Y-%m-%dT%H:%M:%S.%NZ
</pattern>
<pattern>
format regexp
time_format %Y-%m-%dT%H:%M:%S.%N%:z
expression /^(?<time>.+)\b(?<stream>stdout|stderr)\b(?<log>.*)$/
</pattern>
</parse>
</source>
<source>
@type tail
@id in_tail_minion
path /var/log/salt/minion
pos_file /var/log/fluentd-salt.pos
tag salt
read_from_head false
<parse>
@type regexp
expression /^(?<time>[^ ]* [^ ,]*)[^\[]*\[[^\]]*\]\[(?<severity>[^ \]]*) *\] (?<message>.*)$/
time_format %Y-%m-%d %H:%M:%S
</parse>
</source>
<source>
@type tail
@id in_tail_startupscript
path /var/log/startupscript.log
pos_file /var/log/fluentd-startupscript.log.pos
tag startupscript
read_from_head false
<parse>
@type syslog
</parse>
</source>
<source>
@type tail
@id in_tail_docker
path /var/log/docker.log
pos_file /var/log/fluentd-docker.log.pos
tag docker
read_from_head false
<parse>
@type regexp
expression /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
</parse>
</source>
<source>
@type tail
@id in_tail_etcd
path /var/log/etcd.log
pos_file /var/log/fluentd-etcd.log.pos
tag etcd
read_from_head false
<parse>
@type none
</parse>
</source>
<source>
@type tail
@id in_tail_kubelet
multiline_flush_interval 5s
path /var/log/kubelet.log
pos_file /var/log/fluentd-kubelet.log.pos
tag kubelet
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_kube_proxy
multiline_flush_interval 5s
path /var/log/kube-proxy.log
pos_file /var/log/fluentd-kube-proxy.log.pos
tag kube-proxy
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_kube_apiserver
multiline_flush_interval 5s
path /var/log/kube-apiserver.log
pos_file /var/log/fluentd-kube-apiserver.log.pos
tag kube-apiserver
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_kube_controller_manager
multiline_flush_interval 5s
path /var/log/kube-controller-manager.log
pos_file /var/log/fluentd-kube-controller-manager.log.pos
tag kube-controller-manager
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_kube_scheduler
multiline_flush_interval 5s
path /var/log/kube-scheduler.log
pos_file /var/log/fluentd-kube-scheduler.log.pos
tag kube-scheduler
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_rescheduler
multiline_flush_interval 5s
path /var/log/rescheduler.log
pos_file /var/log/fluentd-rescheduler.log.pos
tag rescheduler
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_glbc
multiline_flush_interval 5s
path /var/log/glbc.log
pos_file /var/log/fluentd-glbc.log.pos
tag glbc
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
<source>
@type tail
@id in_tail_cluster_autoscaler
multiline_flush_interval 5s
path /var/log/cluster-autoscaler.log
pos_file /var/log/fluentd-cluster-autoscaler.log.pos
tag cluster-autoscaler
read_from_head false
<parse>
@type kubernetes
</parse>
</source>
# Example:
# 2017-02-09T00:15:57.992775796Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" ip="104.132.1.72" method="GET" user="kubecfg" as="<self>" asgroups="<lookup>" namespace="default" uri="/api/v1/namespaces/default/pods"
# 2017-02-09T00:15:57.993528822Z AUDIT: id="90c73c7c-97d6-4b65-9461-f94606ff825f" response="200"
<source>
@type tail
@id in_tail_kube_apiserver_audit
multiline_flush_interval 5s
path /var/log/kubernetes/kube-apiserver-audit.log
pos_file /var/log/kube-apiserver-audit.log.pos
tag kube-apiserver-audit
read_from_head false
<parse>
@type multiline
format_firstline /^\S+\s+AUDIT:/
# Fields must be explicitly captured by name to be parsed into the record.
# Fields may not always be present, and order may change, so this just looks
# for a list of key="\"quoted\" value" pairs separated by spaces.
# Unknown fields are ignored.
# Note: We can't separate query/response lines as format1/format2 because
# they don't always come one after the other for a given query.
format1 /^(?<time>\S+) AUDIT:(?: (?:id="(?<id>(?:[^"\\]|\\.)*)"|ip="(?<ip>(?:[^"\\]|\\.)*)"|method="(?<method>(?:[^"\\]|\\.)*)"|user="(?<user>(?:[^"\\]|\\.)*)"|groups="(?<groups>(?:[^"\\]|\\.)*)"|as="(?<as>(?:[^"\\]|\\.)*)"|asgroups="(?<asgroups>(?:[^"\\]|\\.)*)"|namespace="(?<namespace>(?:[^"\\]|\\.)*)"|uri="(?<uri>(?:[^"\\]|\\.)*)"|response="(?<response>(?:[^"\\]|\\.)*)"|\w+="(?:[^"\\]|\\.)*"))*/
time_format %Y-%m-%dT%T.%L%Z
</parse>
</source>
<filter kubernetes.**>
@type kubernetes_metadata
@id filter_kube_metadata
</filter>
index_template.json: |-
{
"index_patterns": [
"logstash-*"
],
"settings": {
"index": {
"lifecycle": {
"name": "watch-history-ilm-policy",
"rollover_alias": ""
}
}
}
}
部署 configmap 文件
[root@master efk]# kubectl apply -f fluentd-config.yaml
创建fluentd
[root@master efk]# vim fluentd.yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd
namespace: default
labels:
app: fluentd
spec:
selector:
matchLabels:
app: fluentd
template:
metadata:
labels:
app: fluentd
spec:
serviceAccount: fluentd
serviceAccountName: fluentd
tolerations:
- operator: Exists
containers:
- name: fluentd
image: fluent/fluentd-kubernetes-daemonset:v1.4.2-debian-elasticsearch-1.1
env:
- name: FLUENT_ELASTICSEARCH_HOST
value: "elasticsearch.default.svc.cluster.local"
- name: FLUENT_ELASTICSEARCH_PORT
value: "9200"
- name: FLUENT_ELASTICSEARCH_SCHEME
value: "http"
- name: FLUENTD_SYSTEMD_CONF
value: disable
- name: FLUENT_ELASTICSEARCH_SED_DISABLE
value: "true"
resources:
limits:
cpu: 300m
memory: 512Mi
requests:
cpu: 50m
memory: 100Mi
volumeMounts:
- name: varlog
mountPath: /var/log
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
- name: config
mountPath: /fluentd/etc/kubernetes.conf
subPath: kubernetes.conf
- name: index-template
mountPath: /fluentd/etc/index_template.json
subPath: index_template.json
terminationGracePeriodSeconds: 30
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
- name: config
configMap:
name: fluentd-config
items:
- key: kubernetes.conf
path: kubernetes.conf
- name: index-template
configMap:
name: fluentd-config
items:
- key: index_template.json
path: index_template.json
部署 fluentd 文件
[root@master efk]# kubectl apply -f fluentd.yaml
查看 Pod 运行状态
[root@master efk]# kubectl get pod
NAME READY STATUS RESTARTS AGE
es-cluster-0 1/1 Running 0 6h31m
es-cluster-1 1/1 Running 0 6h31m
es-cluster-2 1/1 Running 0 6h31m
fluentd-5dkzc 1/1 Running 0 17m
fluentd-k6h54 1/1 Running 0 17m
kibana-786f7f49d-x6qt8 1/1 Running 0 6h31m
nfs-client-provisioner-79865487f9-c28ql 1/1 Running 0 7h12m
（4）登录kibana控制台
（5）数据源模拟
[root@master efk]# vim data.yaml
apiVersion: v1
kind: Pod
metadata:
name: data-logs
spec:
containers:
- name: counter
image: busybox
imagePullPolicy: IfNotPresent
args:
- /bin/sh
- -c
- 'i=0; while true; do echo "$i: Hello, are you collecting my data? $(date)"; i=$((i+1)); sleep 5; done'
部署 data 文件
[root@master efk]# kubectl apply -f data.yaml
（6）创建索引模式
配置索引模式
配置时间戳筛选数据
查看数据
原文地址：https://blog.csdn.net/weixin_58410911/article/details/144064422
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