尝试在GKE环境中使用fluentd + elasticsearch + kibana搭建日志环境
最近我想更深入地了解Kubernetes。
我尝试使用Kibana进行日志管理，但遇到了一些困难，所以我在这里记录下来。
给予cluster-admin权限
$ kubectl create clusterrolebinding owner-cluster-admin-binding \
--clusterrole cluster-admin \
--user [gcpの権限を持っているメールアドレス]
owner-cluster-admin-binding没有限制。
如果不使用cluster-admin，尝试进行未来的工作
Error from server (Forbidden): error when creating "fluentd-deamonset.yml": clusterroles.rbac.authorization.k8s.io "fluentd-es" is forbidden: attempt to grant extra privileges
我认为是因为没有IAM权限而无法创建。
创建Elasticsearch
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: elasticsearch-pvc
namespace: default
labels:
kubernetes.io/cluster-service: "true"
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 5Gi
---
apiVersion: v1
kind: Service
metadata:
name: elasticsearch
namespace: default
spec:
selector:
app: elasticsearch
ports:
- protocol: TCP
port: 9200
targetPort: http
type: "LoadBalancer"
loadBalancerIP: ""
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: elasticsearch
namespace: default
labels:
app: elasticsearch
spec:
replicas: 1
selector:
matchLabels:
app: elasticsearch
template:
metadata:
labels:
app: elasticsearch
spec:
containers:
- name: elasticsearch
image: elasticsearch:5.6-alpine
ports:
- containerPort: 9200
name: http
volumeMounts:
- mountPath: /data
name: elasticsearch-pvc
- mountPath: /usr/share/elasticsearch/config
name: elasticsearch-config
resources:
requests:
memory: "512Mi"
cpu: "500m"
limits:
memory: "1024Mi"
cpu: "750m"
volumes:
- name: elasticsearch-pvc
persistentVolumeClaim:
claimName: elasticsearch-pvc
- name: elasticsearch-config
configMap:
name: elasticsearch-config
---
kind: ConfigMap
apiVersion: v1
metadata:
name: elasticsearch-config
namespace: default
data:
elasticsearch.yml: |-
http.host: 0.0.0.0
path.scripts: /tmp/scripts
log4j2.properties: |-
status = error
appender.console.type = Console
appender.console.name = console
appender.console.layout.type = PatternLayout
appender.console.layout.pattern = [%d{ISO8601}][%-5p][%-25c{1.}] %marker%m%n
rootLogger.level = info
rootLogger.appenderRef.console.ref = console
jvm.options: |-
-Xms512m
-Xmx1024m
-XX:+UseConcMarkSweepGC
-XX:CMSInitiatingOccupancyFraction=75
-XX:+UseCMSInitiatingOccupancyOnly
-XX:+AlwaysPreTouch
-server
-Xss1m
-Djava.awt.headless=true
-Dfile.encoding=UTF-8
-Djna.nosys=true
-Djdk.io.permissionsUseCanonicalPath=true
-Dio.netty.noUnsafe=true
-Dio.netty.noKeySetOptimization=true
-Dio.netty.recycler.maxCapacityPerThread=0
-Dlog4j.shutdownHookEnabled=false
-Dlog4j2.disable.jmx=true
-Dlog4j.skipJansi=true
-XX:+HeapDumpOnOutOfMemoryError
如果出现这种错误
Exception in thread "main" org.elasticsearch.bootstrap.BootstrapException: java.nio.file.AccessDeniedException: /etc/elasticsearch/elasticsearch.keystore
我曾经认为文件权限可能有问题，所以进行了各种调查，但实际上问题不在此，而是由于节点的内存不足所导致。
目前，我已经将节点池的规格更改为CUP:4 Mem:15G的实例，并且正常运行。
为了确保 Elasticsearch 消耗的内存保持在800M左右，并且即使有更高的要求也没有问题，我们应该选择相应的规格。
如果节点的内存不足以满足Pod的要求，将使用OOMKiller杀掉该Pod，并重复启动。
提前确认IP
>>> get services elasticsearch
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch LoadBalancer *.*.*.* 35.**.**.** 9200:32619/TCP 34m
将外部IP地址记下来。
创建Fluentd
创建ConfigMap
kind: ConfigMap
apiVersion: v1
metadata:
name: fluentd-es-config-v0.1.5
namespace: default
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>
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": "{{ container_runtime }}.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>
@type forward
</source>
monitoring.conf: |-
# Prometheus Exporter Plugin
# input plugin that exports metrics
<source>
@type prometheus
</source>
<source>
@type monitor_agent
</source>
# input plugin that collects metrics from MonitorAgent
<source>
@type prometheus_monitor
<labels>
host ${hostname}
</labels>
</source>
# input plugin that collects metrics for output plugin
<source>
@type prometheus_output_monitor
<labels>
host ${hostname}
</labels>
</source>
# input plugin that collects metrics for in_tail plugin
<source>
@type prometheus_tail_monitor
<labels>
host ${hostname}
</labels>
</source>
output.conf: |-
# Enriches records with Kubernetes metadata
<filter kubernetes.**>
@type kubernetes_metadata
</filter>
<filter kubernetes.var.log.containers.myapp**.log>
@type parser
@id myapp_filter
key_name log
reserve_data true
remove_key_name_field true
#<parse>
# @type regexp
# expression /^(?<level>[^ ]*)[ \t]+\[(?<time>[^\]]*)\] \[(?<thread>[^\]]*)\] \[(?<request>[^\]]*)\] (?<class>[^ ]*): (?<message>.*)$/
# time_format %Y-%m-%d %H:%M:%S,%L %z
#</parse>
<parse>
@type multiline
format_firstline /^[A-Z]/
format1 /^(?<level>[^ ]*)[ \t]+\[(?<time>[^\]]*)\] \[(?<thread>[^\]]*)\] \[(?<request>[^\]]*)\] (?<class>[^ ]*): (?<message>.*)$/
time_format %Y-%m-%d %H:%M:%S,%L %z
</parse>
</filter>
<match kubelet>
@type elasticsearch_dynamic
@id kubelet_out_es
log_level info
include_tag_key true
host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
index_name fluentd-${tag_parts[0]+ "-" + Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
include_timestamp true
#logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
#logstash_format true
<buffer>
flush_thread_count 8
flush_interval 5s
chunk_limit_size 4M
queue_limit_length 32
retry_max_interval 30
retry_forever true
</buffer>
</match>
<match kube-apiserver>
@type elasticsearch_dynamic
@id apiserver_out_es
log_level info
include_tag_key true
host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
index_name fluentd-${tag_parts[0]+ "-" + Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
include_timestamp true
#logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
#logstash_format true
<buffer>
flush_thread_count 8
flush_interval 5s
chunk_limit_size 4M
queue_limit_length 32
retry_max_interval 30
retry_forever true
</buffer>
</match>
<match **>
@type copy
<store>
@type elasticsearch_dynamic
@id out_es
#log_level info
include_tag_key true
host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
index_name fluentd-${record['kubernetes']['container_name']}-${Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
include_timestamp true
#logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
#logstash_format true
<buffer>
flush_thread_count 8
flush_interval 5s
chunk_limit_size 2M
queue_limit_length 32
retry_max_interval 30
retry_forever true
</buffer>
</store>
# <store>
# @type gcs
# @id out_gcs
# project mys-gcp-project-id
# keyfile /etc/fluent/gcp-creds.json
# bucket myapp-logs
# object_key_format %{path}%{time_slice}_%{index}.%{file_extension}
# path logs/${tag}/%Y/%m/%d/
# # if you want to use ${tag} or %Y/%m/%d/ like syntax in path / object_key_format,
# # need to specify tag for ${tag} and time for %Y/%m/%d in <buffer> argument.
# <buffer tag,time>
# @type file
# path /var/log/fluent/gcs
# timekey 1h # 1 hour partition
# timekey_wait 10m
# timekey_use_utc true # use utc
# </buffer>
# <format>
# @type json
# </format>
# </store>
</match>
创建一个守护者配置
apiVersion: v1
kind: ServiceAccount
metadata:
name: fluentd-es
namespace: default
labels:
k8s-app: fluentd-es
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: fluentd-es
labels:
k8s-app: fluentd-es
kubernetes.io/cluster-service: "true"
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
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
subjects:
- kind: ServiceAccount
name: fluentd-es
namespace: default
apiGroup: ""
roleRef:
kind: ClusterRole
name: fluentd-es
apiGroup: ""
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd-es-v2.2.0
namespace: default
labels:
k8s-app: fluentd-es
version: v2.2.0
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
selector:
matchLabels:
k8s-app: fluentd-es
version: v2.2.0
template:
metadata:
labels:
k8s-app: fluentd-es
kubernetes.io/cluster-service: "true"
version: v2.2.0
# This annotation ensures that fluentd does not get evicted if the node
# supports critical pod annotation based priority scheme.
# Note that this does not guarantee admission on the nodes (#40573).
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ''
seccomp.security.alpha.kubernetes.io/pod: 'docker/default'
spec:
priorityClassName: system-node-critical
serviceAccountName: fluentd-es
containers:
- name: fluentd-es
image: k8s.gcr.io/fluentd-elasticsearch:v2.2.0
env:
- name: FLUENTD_ARGS
value: --no-supervisor -q -v
- name: FLUENT_ELASTICSEARCH_HOST
value: "[ElasticSearchのIP]"
- name: FLUENT_ELASTICSEARCH_PORT
value: "9200"
- name: FLUENT_ELASTICSEARCH_SCHEME
value: "tcp"
resources:
limits:
memory: 200Mi
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
nodeSelector:
beta.kubernetes.io/fluentd-ds-ready: "true"
terminationGracePeriodSeconds: 30
imagePullSecrets:
- name: regsecret
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
- name: config-volume
configMap:
name: fluentd-es-config-v0.1.5
请检查并更改ElasticSearch的IP地址。
如果在使用ClusterRoleBinding时出现错误，请确认您拥有足够的cluster-admin权限。
创建Kibana
apiVersion: v1
kind: Service
metadata:
name: kibana
namespace: default
spec:
selector:
app: kibana
ports:
- protocol: TCP
port: 5601
targetPort: http
nodePort: 30050
type: "LoadBalancer"
loadBalancerIP: ""
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: kibana
namespace: default
labels:
app: kibana
spec:
replicas: 1
selector:
matchLabels:
app: kibana
template:
metadata:
labels:
app: kibana
spec:
containers:
- name: kibana
image: kibana:5.6
ports:
- containerPort: 5601
name: http
env:
- name: ELASTICSEARCH_URL
value: "http://[ElasticSearchのIP]:9200"
确认
>>> get services
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
*****-service LoadBalancer **.**.**.** **.**.**.** 80:30298/TCP 3h
*****-service LoadBalancer **.**.**.** **.**.**.** 80:30787/TCP 3h
elasticsearch LoadBalancer **.**.**.** **.**.**.** 9200:32619/TCP 41m
kibana LoadBalancer **.**.**.** **.**.**.** 5601:30050/TCP 11s
kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 3h
>>> get po
NAME READY STATUS RESTARTS AGE
****-deployment-d968474b-hzxc 2/2 Running 0 3h
****-deployment-85cb7b496-5g 2/2 Running 0 3h
elasticsearch-7d7947fd-gdg5 1/1 Running 0 41m
fluentd-es-v2.2.0-l 1/1 Running 0 4m
>>> get configmaps
NAME DATA AGE
elasticsearch-config 3 41m
fluentd-es-config-v0.1.5 6 4m
>>> get serviceaccounts
NAME SECRETS AGE
default 1 3h
fluentd-es 1 4m
>>> get persistentvolumeclaims
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
elasticsearch-pvc Bound pvc-f7201ef9-01c7-11e9-9f9a-a92018c 5Gi RWO standard 41m
>>>
由于我还没有整理nginx的日志，所以现在会开始整理。期待您的帮助。
请参考
Medium文章：https://medium.com/@lestrrat/configuring-rbac-for-your-kubernetes-service-accounts-c348b64eb242
Kubernetes文档：https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
Elasticsearch问题：https://github.com/elastic/elasticsearch/issues/26410
Fluentd Kubernetes Daemonset问题：https://github.com/fluent/fluentd-kubernetes-daemonset/issues/14
