下载es
helm pull stable/elasticsearch --version 1.10.2
tar zxvf elasticsearch-1.10.2.tgz
cd elasticsearch编辑values.yaml，修改exposeHttp: false参数,实例
# Default values for elasticsearch.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
appVersion: "6.4.2"
image:
repository: "docker.elastic.co/elasticsearch/elasticsearch-oss"
tag: "6.4.2"
pullPolicy: "IfNotPresent"
# If specified, use these secrets to access the image
# pullSecrets:
# - registry-secret
initImage:
repository: "busybox"
tag: "latest"
pullPolicy: "Always"
cluster:
name: "elasticsearch"
# If you want X-Pack installed, switch to an image that includes it, enable this option and toggle the features you want
# enabled in the environment variables outlined in the README
xpackEnable: false
# Some settings must be placed in a keystore, so they need to be mounted in from a secret.
# Use this setting to specify the name of the secret
# keystoreSecret: eskeystore
config: {}
# Custom parameters, as string, to be added to ES_JAVA_OPTS environment variable
additionalJavaOpts: ""
env:
# IMPORTANT: https://www.elastic.co/guide/en/elasticsearch/reference/current/important-settings.html#minimum_master_nodes
# To prevent data loss, it is vital to configure the discovery.zen.minimum_master_nodes setting so that each master-eligible
# node knows the minimum number of master-eligible nodes that must be visible in order to form a cluster.
MINIMUM_MASTER_NODES: "2"
client:
name: client
replicas: 2
serviceType: ClusterIP
loadBalancerIP: {}
loadBalancerSourceRanges: {}
## (dict) If specified, apply these annotations to the client service
# serviceAnnotations:
# example: client-svc-foo
heapSize: "512m"
antiAffinity: "soft"
nodeAffinity: {}
nodeSelector: {}
tolerations: []
resources:
limits:
cpu: "1"
# memory: "1024Mi"
requests:
cpu: "25m"
memory: "512Mi"
priorityClassName: ""
## (dict) If specified, apply these annotations to each client Pod
# podAnnotations:
# example: client-foo
podDisruptionBudget:
enabled: false
minAvailable: 1
# maxUnavailable: 1
master:
name: master
exposeHttp: false
replicas: 3
heapSize: "512m"
persistence:
enabled: false
accessMode: ReadWriteOnce
name: data
size: "4Gi"
# storageClass: "ssd"
antiAffinity: "soft"
nodeAffinity: {}
nodeSelector: {}
tolerations: []
resources:
limits:
cpu: "1"
# memory: "1024Mi"
requests:
cpu: "25m"
memory: "512Mi"
priorityClassName: ""
## (dict) If specified, apply these annotations to each master Pod
# podAnnotations:
# example: master-foo
podDisruptionBudget:
enabled: false
minAvailable: 2 # Same as `cluster.env.MINIMUM_MASTER_NODES`
# maxUnavailable: 1
updateStrategy:
type: OnDelete
data:
name: data
exposeHttp: false
replicas: 2
heapSize: "1536m"
persistence:
enabled: false
accessMode: ReadWriteOnce
name: data
size: "30Gi"
# storageClass: "ssd"
terminationGracePeriodSeconds: 3600
antiAffinity: "soft"
nodeAffinity: {}
nodeSelector: {}
tolerations: []
resources:
limits:
cpu: "1"
# memory: "2048Mi"
requests:
cpu: "25m"
memory: "1536Mi"
priorityClassName: ""
## (dict) If specified, apply these annotations to each data Pod
# podAnnotations:
# example: data-foo
podDisruptionBudget:
enabled: false
# minAvailable: 1
maxUnavailable: 1
updateStrategy:
type: OnDelete
## Additional init containers
extraInitContainers: |安装
kubectl create namespace efk
helm install . -n els --namespace=efk -f values.yaml --generate-name下载fluentd
在http://mirror.azure.cn/kubernetes/charts这个源有下载
helm pull stable/fluentd-elasticsearch --version 2.0.7
tar zxvf fluentd-elasticsearch-2.0.7.tgz
cd fluentd-elasticsearch编辑values.yaml，修改host: ‘10.105.50.187’参数,实例
image:
repository: gcr.io/google-containers/fluentd-elasticsearch
## Specify an imagePullPolicy (Required)
## It's recommended to change this to 'Always' if the image tag is 'latest'
## ref: http://kubernetes.io/docs/user-guide/images/#updating-images
tag: v2.3.2
pullPolicy: IfNotPresent
## Configure resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources: {}
# limits:
# cpu: 100m
# memory: 500Mi
# requests:
# cpu: 100m
# memory: 200Mi
elasticsearch:
host: '10.105.50.187'
port: 9200
scheme: 'http'
ssl_version: TLSv1_2
buffer_chunk_limit: 2M
buffer_queue_limit: 8
logstash_prefix: 'logstash'
# If you want to add custom environment variables, use the env dict
# You can then reference these in your config file e.g.:
# user "#{ENV['OUTPUT_USER']}"
env:
# OUTPUT_USER: my_user
# If you want to add custom environment variables from secrets, use the secret list
secret:
# - name: ELASTICSEARCH_PASSWORD
# secret_name: elasticsearch
# secret_key: password
rbac:
create: true
serviceAccount:
# Specifies whether a ServiceAccount should be created
create: true
# The name of the ServiceAccount to use.
# If not set and create is true, a name is generated using the fullname template
name:
## Specify if a Pod Security Policy for node-exporter must be created
## Ref: https://kubernetes.io/docs/concepts/policy/pod-security-policy/
##
podSecurityPolicy:
enabled: false
annotations: {}
## Specify pod annotations
## Ref: https://kubernetes.io/docs/concepts/policy/pod-security-policy/#apparmor
## Ref: https://kubernetes.io/docs/concepts/policy/pod-security-policy/#seccomp
## Ref: https://kubernetes.io/docs/concepts/policy/pod-security-policy/#sysctl
##
# seccomp.security.alpha.kubernetes.io/allowedProfileNames: '*'
# seccomp.security.alpha.kubernetes.io/defaultProfileName: 'docker/default'
# apparmor.security.beta.kubernetes.io/defaultProfileName: 'runtime/default'
livenessProbe:
enabled: true
annotations: {}
podAnnotations: {}
# prometheus.io/scrape: "true"
# prometheus.io/port: "24231"
## DaemonSet update strategy
## Ref: https://kubernetes.io/docs/tasks/manage-daemon/update-daemon-set/
updateStrategy:
type: RollingUpdate
tolerations: {}
# - key: node-role.kubernetes.io/master
# operator: Exists
# effect: NoSchedule
nodeSelector: {}
service: {}
# type: ClusterIP
# ports:
# - name: "monitor-agent"
# port: 24231
configMaps:
system.conf: |-
<system>
root_dir /tmp/fluentd-buffers/
</system>
containers.input.conf: |-
# This configuration file for Fluentd / td-agent is used
# to watch changes to Docker log files. The kubelet creates symlinks that
# capture the pod name, namespace, container name & Docker container ID
# to the docker logs for pods in the /var/log/containers directory on the host.
# If running this fluentd configuration in a Docker container, the /var/log
# directory should be mounted in the container.
#
# These logs are then submitted to Elasticsearch which assumes the
# installation of the fluent-plugin-elasticsearch & the
# fluent-plugin-kubernetes_metadata_filter plugins.
# See https://github.com/uken/fluent-plugin-elasticsearch &
# https://github.com/fabric8io/fluent-plugin-kubernetes_metadata_filter for
# more information about the plugins.
#
# Example
# =======
# A line in the Docker log file might look like this JSON:
#
# {"log":"2014/09/25 21:15:03 Got request with path wombat\n",
# "stream":"stderr",
# "time":"2014-09-25T21:15:03.499185026Z"}
#
# The time_format specification below makes sure we properly
# parse the time format produced by Docker. This will be
# submitted to Elasticsearch and should appear like:
# $ curl 'http://elasticsearch-logging:9200/_search?pretty'
# ...
# {
# "_index" : "logstash-2014.09.25",
# "_type" : "fluentd",
# "_id" : "VBrbor2QTuGpsQyTCdfzqA",
# "_score" : 1.0,
# "_source":{"log":"2014/09/25 22:45:50 Got request with path wombat\n",
# "stream":"stderr","tag":"docker.container.all",
# "@timestamp":"2014-09-25T22:45:50+00:00"}
# },
# ...
#
# The Kubernetes fluentd plugin is used to write the Kubernetes metadata to the log
# record & add labels to the log record if properly configured. This enables users
# to filter & search logs on any metadata.
# For example a Docker container's logs might be in the directory:
#
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b
#
# and in the file:
#
# 997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
#
# where 997599971ee6... is the Docker ID of the running container.
# The Kubernetes kubelet makes a symbolic link to this file on the host machine
# in the /var/log/containers directory which includes the pod name and the Kubernetes
# container name:
#
# synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
# ->
# /var/lib/docker/containers/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b/997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b-json.log
#
# The /var/log directory on the host is mapped to the /var/log directory in the container
# running this instance of Fluentd and we end up collecting the file:
#
# /var/log/containers/synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
#
# This results in the tag:
#
# var.log.containers.synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
#
# The Kubernetes fluentd plugin is used to extract the namespace, pod name & container name
# which are added to the log message as a kubernetes field object & the Docker container ID
# is also added under the docker field object.
# The final tag is:
#
# kubernetes.var.log.containers.synthetic-logger-0.25lps-pod_default_synth-lgr-997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b.log
#
# And the final log record look like:
#
# {
# "log":"2014/09/25 21:15:03 Got request with path wombat\n",
# "stream":"stderr",
# "time":"2014-09-25T21:15:03.499185026Z",
# "kubernetes": {
# "namespace": "default",
# "pod_name": "synthetic-logger-0.25lps-pod",
# "container_name": "synth-lgr"
# },
# "docker": {
# "container_id": "997599971ee6366d4a5920d25b79286ad45ff37a74494f262e3bc98d909d0a7b"
# }
# }
#
# This makes it easier for users to search for logs by pod name or by
# the name of the Kubernetes container regardless of how many times the
# Kubernetes pod has been restarted (resulting in a several Docker container IDs).
# Json Log Example:
# {"log":"[info:2016-02-16T16:04:05.930-08:00] Some log text here\n","stream":"stdout","time":"2016-02-17T00:04:05.931087621Z"}
# CRI Log Example:
# 2016-02-17T00:04:05.931087621Z stdout F [info:2016-02-16T16:04:05.930-08:00] Some log text here
<source>
@id fluentd-containers.log
@type tail
path /var/log/containers/*.log
pos_file /var/log/fluentd-containers.log.pos
time_format %Y-%m-%dT%H:%M:%S.%NZ
tag raw.kubernetes.*
format json
read_from_head true
</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>.*)$/
time_format %Y-%m-%d %H:%M:%S
path /var/log/salt/minion
pos_file /var/log/salt.pos
tag salt
</source>
# Example:
# Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
<source>
@id startupscript.log
@type tail
format syslog
path /var/log/startupscript.log
pos_file /var/log/startupscript.log.pos
tag startupscript
</source>
# Examples:
# time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
# time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
<source>
@id docker.log
@type tail
format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
path /var/log/docker.log
pos_file /var/log/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/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/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/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/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/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/kube-scheduler.log.pos
tag kube-scheduler
</source>
# Example:
# I1104 10:36:20.242766 5 rescheduler.go:73] Running Rescheduler
<source>
@id rescheduler.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/rescheduler.log
pos_file /var/log/rescheduler.log.pos
tag rescheduler
</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/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/cluster-autoscaler.log.pos
tag cluster-autoscaler
</source>
# Logs from systemd-journal for interesting services.
<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-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>
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>
<match **>
@id elasticsearch
@type elasticsearch
@log_level info
include_tag_key true
type_name _doc
host "#{ENV['OUTPUT_HOST']}"
port "#{ENV['OUTPUT_PORT']}"
scheme "#{ENV['OUTPUT_SCHEME']}"
ssl_version "#{ENV['OUTPUT_SSL_VERSION']}"
logstash_format true
logstash_prefix "#{ENV['LOGSTASH_PREFIX']}"
reconnect_on_error true
<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 "#{ENV['OUTPUT_BUFFER_CHUNK_LIMIT']}"
queue_limit_length "#{ENV['OUTPUT_BUFFER_QUEUE_LIMIT']}"
overflow_action block
</buffer>
</match>
# extraVolumes:
# - name: es-certs
# secret:
# defaultMode: 420
# secretName: es-certs
# extraVolumeMounts:
# - name: es-certs
# mountPath: /certs
# readOnly: true安装
helm install . -n flu --namespace=efk -f values.yaml --generate-name下载kibana
在http://mirror.azure.cn/kubernetes/charts这个源有下载
helm pull azure/kibana --version 0.14.8
tar zxvf kibana-0.14.8.tgz
cd kibana编辑values.yaml，修改elasticsearch.url: http://10.105.50.187:9200参数,实例
image:
repository: "docker.elastic.co/kibana/kibana-oss"
tag: "6.4.2"
pullPolicy: "IfNotPresent"
commandline:
args:
env: {}
# All Kibana configuration options are adjustable via env vars.
# To adjust a config option to an env var uppercase + replace `.` with `_`
# Ref: https://www.elastic.co/guide/en/kibana/current/settings.html
#
# ELASTICSEARCH_URL: http://elasticsearch-client:9200
# SERVER_PORT: 5601
# LOGGING_VERBOSE: "true"
# SERVER_DEFAULTROUTE: "/app/kibana"
files:
kibana.yml:
## Default Kibana configuration from kibana-docker.
server.name: kibana
server.host: "0"
elasticsearch.url: http://10.105.50.187:9200
## Custom config properties below
## Ref: https://www.elastic.co/guide/en/kibana/current/settings.html
# server.port: 5601
# logging.verbose: "true"
# server.defaultRoute: "/app/kibana"
service:
type: ClusterIP
externalPort: 443
internalPort: 5601
# authProxyPort: 5602 To be used with authProxyEnabled and a proxy extraContainer
## External IP addresses of service
## Default: nil
##
# externalIPs:
# - 192.168.0.1
#
## LoadBalancer IP if service.type is LoadBalancer
## Default: nil
##
# loadBalancerIP: 10.2.2.2
annotations:
# Annotation example: setup ssl with aws cert when service.type is LoadBalancer
# service.beta.kubernetes.io/aws-load-balancer-ssl-cert: arn:aws:acm:us-east-1:EXAMPLE_CERT
labels:
## Label example: show service URL in `kubectl cluster-info`
# kubernetes.io/cluster-service: "true"
## Limit load balancer source ips to list of CIDRs (where available)
# loadBalancerSourceRanges: []
ingress:
enabled: false
# hosts:
# - chart-example.local
# annotations:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
# tls:
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
# service account that will run the pod. Leave commented to use the default service account.
# serviceAccountName: kibana
livenessProbe:
enabled: false
initialDelaySeconds: 30
timeoutSeconds: 10
readinessProbe:
enabled: false
initialDelaySeconds: 30
timeoutSeconds: 10
# Enable an authproxy. Specify container in extraContainers
authProxyEnabled: false
extraContainers: |
# - name: proxy
# image: quay.io/gambol99/keycloak-proxy:latest
# args:
# - --resource=uri=/*
# - --discovery-url=https://discovery-url
# - --client-id=client
# - --client-secret=secret
# - --listen=0.0.0.0:5602
# - --upstream-url=http://127.0.0.1:5601
# ports:
# - name: web
# containerPort: 9090
resources: {}
# limits:
# cpu: 100m
# memory: 300Mi
# requests:
# cpu: 100m
# memory: 300Mi
priorityClassName: ""
# Affinity for pod assignment
# Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
# affinity: {}
# Tolerations for pod assignment
# Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
tolerations: []
# Node labels for pod assignment
# Ref: https://kubernetes.io/docs/user-guide/node-selection/
nodeSelector: {}
podAnnotations: {}
replicaCount: 1
revisionHistoryLimit: 3
# to export a dashboard from a running kibana 6.3.x use:
# curl --user <username>:<password> -XGET https://kibana.yourdomain.com:5601/api/kibana/dashboards/export?dashboard=<some-dashboard-uuid> > my-dashboard.json
# you can find an example dashboard for kubernests with fluentd-elasticsearch chart here: https://github.com/monotek/kibana-dashboards/blob/master/k8s-fluentd-elasticsearch.json
dashboardImport:
xpackauth:
enabled: false
username: myuser
password: mypass
dashboards: {}
# List of pluginns to install using initContainer
plugins:
# - https://github.com/sivasamyk/logtrail/releases/download/v0.1.29/logtrail-6.4.0-0.1.29.zip
# - other_plugin安装
helm install . -n kib --namespace=efk -f values.yaml --generate-name修改kibana的访问模式为nodeport
kubectl edit svc chart-1608888150-kibana -n efk