基于 K8S 搭建自己的 ELK 服务
基于 K8S(K3S) 搭建自己的 ELK 服务
对应的 Yaml 资源在 https://github.com/nicelizhi/k8s-elk
elasticsearch 服务
Service
kind: Service
apiVersion: v1
metadata:
name: elasticsearch
spec:
ports:
- name: elasticsearch
protocol: TCP
port: 9200
targetPort: 9200
selector:
app: elasticsearch
type: ClusterIP
sessionAffinity: None
ConfigMap
kind: ConfigMap
apiVersion: v1
metadata:
name: elasticsearch-config
data:
elasticsearch.yml: |
network.host: 0.0.0.0
xpack.monitoring.collection.enabled: true
http.cors.enabled: true
http.cors.allow-origin: "*"
xpack.security.enabled: true
xpack.security.authc.api_key.enabled: true
Deployment
kind: Deployment
apiVersion: apps/v1
metadata:
name: elasticsearch
spec:
replicas: 1
selector:
matchLabels:
app: elasticsearch
template:
metadata:
labels:
app: elasticsearch
spec:
volumes:
- name: config
configMap:
name: elasticsearch-config
defaultMode: 420
- name: es-data
hostPath:
path: /data/es
initContainers:
- name: increase-vm-max-map
image: busybox
command:
- sysctl
- '-w'
- vm.max_map_count=262144
securityContext:
privileged: true
containers:
- name: elasticsearch
image: 'docker.elastic.co/elasticsearch/elasticsearch:7.16.0'
resources:
requests:
memory: 1524Mi
cpu: 500m
limits:
memory: 1824Mi
cpu: 1
ports:
- containerPort: 9200
protocol: TCP
- containerPort: 9300
protocol: TCP
env:
- name: ES_JAVA_OPTS
value: '-Xms256m -Xmx256m'
- name: discovery.type
value: single-node
volumeMounts:
- name: config
mountPath: /usr/share/elasticsearch/config/elasticsearch.yml
subPath: elasticsearch.yml
- mountPath: /usr/share/elasticsearch/data/
name: es-data
上面的资源有硬盘挂载与 config 类型的使用
kibana 服务
Service
kind: Service
apiVersion: v1
metadata:
name: kibana
spec:
ports:
- name: kibana
protocol: TCP
port: 5601
targetPort: 5601
selector:
component: kibana
type: LoadBalancer
ConfigMap
kind: ConfigMap
apiVersion: v1
metadata:
name: kibana-config
data:
kibana.yml: >
server.name: kibana
server.host: 0.0.0.0
elasticsearch.hosts: ["http://elasticsearch:9200" ]
elasticsearch.username: "elastic"
monitoring.ui.container.elasticsearch.enabled: true
Deployment
kind: Deployment
apiVersion: apps/v1
metadata:
name: kibana
spec:
replicas: 1
selector:
matchLabels:
component: kibana
template:
metadata:
labels:
component: kibana
spec:
volumes:
- name: config
configMap:
name: kibana-config
defaultMode: 420
- name: secrets
secret:
secretName: es-user-pass
defaultMode: 0400
containers:
- name: elk-kibana
image: 'docker.elastic.co/kibana/kibana:7.16.0'
resources:
requests:
memory: 512Mi
cpu: 200m
limits:
memory: 1Gi
cpu: 1
ports:
- name: kibana
containerPort: 5601
protocol: TCP
env:
- name: KIBANA_SYSTEM_PASSWORD
valueFrom:
secretKeyRef:
name: es-user-pass
key: password
- name: ELASTICSEARCH_PASSWORD
valueFrom:
secretKeyRef:
name: es-user-pass
key: password
volumeMounts:
- name: config
mountPath: /usr/share/kibana/config/kibana.yml
subPath: kibana.yml
configMap 的配置使用与 Secret内容的使用
logstash 服务
Deployment
kind: Deployment
apiVersion: apps/v1
metadata:
name: logstash
spec:
replicas: 1
selector:
matchLabels:
app: logstash
template:
metadata:
labels:
app: logstash
spec:
volumes:
- name: config
configMap:
name: logstash-config
defaultMode: 420
- name: pipelines
configMap:
name: logstash-pipelines
defaultMode: 420
containers:
- name: logstash
image: 'docker.elastic.co/logstash/logstash:7.16.0'
resources:
requests:
memory: 512Mi
cpu: 500m
limits:
memory: 1024Mi
cpu: 1
ports:
- containerPort: 5044
protocol: TCP
- containerPort: 5000
protocol: TCP
- containerPort: 5000
protocol: UDP
- containerPort: 9600
protocol: TCP
env:
- name: ELASTICSEARCH_HOST
value: 'http://elasticsearch:9200'
- name: LS_JAVA_OPTS
value: '-Xms512m -Xmx512m'
volumeMounts:
- name: pipelines
mountPath: /usr/share/logstash/pipeline
- name: config
mountPath: /usr/share/logstash/config/logstash.yml
subPath: logstash.yml
Service
kind: Service
apiVersion: v1
metadata:
name: logstash
spec:
ports:
- name: logstash
protocol: TCP
port: 10000
targetPort: 9600
- name: filebeat
protocol: TCP
port: 5044
targetPort: 5044
selector:
app: logstash
type: LoadBalancer
sessionAffinity: None
ConfigMap
kind: ConfigMap
apiVersion: v1
metadata:
name: logstash-config
namespace: default
data:
logstash.yml: >
http.host: "0.0.0.0"
xpack.monitoring.enabled: true
config.reload.automatic: true
xpack.monitoring.elasticsearch.hosts: ["elasticsearch:9200" ]
xpack.monitoring.elasticsearch.username: "elastic"
xpack.monitoring.elasticsearch.password: "abc123456"
ConfigMap piple
kind: ConfigMap
apiVersion: v1
metadata:
name: logstash-pipelines
data:
logstash.conf: |
input {
syslog {
type => "syslog"
port => 5044
}
}
filter {
grok {
match => ["message", "%{SYSLOG5424PRI}%{NONNEGINT:syslog5424_ver} +(?:%{TIMESTAMP_ISO8601:timestamp}|-) +(?:%{HOSTNAME:heroku_drain_id}|-) +(?:%{WORD:heroku_source}|-) +(?:%{DATA:heroku_dyno}|-) +(?:%{WORD:syslog5424_msgid}|-) +(?:%{SYSLOG5424SD:syslog5424_sd}|-|) +%{GREEDYDATA:heroku_message}"]
}
mutate { rename => ["heroku_message", "message"] }
kv { source => "message" }
mutate { convert => ["sample#memory-free", "integer"]}
mutate { convert => ["sample#memory-total", "integer"]}
mutate { convert => ["sample#memory-redis", "integer"]}
mutate { convert => ["sample#memory-cached", "integer"]}
mutate { convert => ["sample#load-avg-5m", "float"]}
mutate { convert => ["sample#load-avg-1m", "float"]}
mutate { convert => ["sample#load-avg-15m", "float"]}
syslog_pri { syslog_pri_field_name => "syslog5424_pri" }
}
output {
elasticsearch {
hosts => ["http://elasticsearch:9200"]
"user" => "elastic"
"password" => "abc123456"
"index" => "logstash-%{heroku_dyno}"
template_overwrite => true
}
}
pipe 日志处理了 Heroku 平台日志收集。并且配置了pipe的自动加载动作，这块也是实际应用中经常应用到的功能
针对与日志收集的过程中可以使用 grok 去做必要的格式转化，从而使的日志安装您的要求保存到ES 服务器中使用。
上面示例是运行在一台 2核 4G 的服务器上面，所以我们使用的是K3S 架构，并且在 ES 上只使用了一个节点数据，这些在正式的使用过程中需要多留意。
