k8s部署elk+filebeat

本文详细介绍了如何在Kubernetes环境下部署Elasticsearch(ELK)栈,包括Elasticsearch集群、Logstash、Kibana的配置与部署,以及Filebeat的日志收集设置,确保日志数据能够被有效管理和分析。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

k8s部署elk+filebeat 第一步elasticsearch集群

cat elasticsearch.yaml

apiVersion: v1
kind: Service
metadata:
name: elasticsearch
namespace: kafka
labels:
k8s-app: elasticsearch
spec:
ports:

  • name: transport
    port: 9300
    protocol: TCP
    targetPort: 9300
    clusterIP: None
    selector:
    k8s-app: elasticsearch
    role: master

apiVersion: v1
kind: ServiceAccount
metadata:
name: elasticsearch
namespace: kafka
labels:
k8s-app: elasticsearch
—**
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: elasticsearch
labels:
k8s-app: elasticsearch
rules:

  • apiGroups:
    • “”
      resources:
    • “services”
    • “namespaces”
    • “configmaps”
    • “endpoints”
    • “secrets”
    • “pods”
      verbs:
    • “get”
    • “list”
    • “watch”

kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
namespace: kafka
name: elasticsearch
labels:
k8s-app: elasticsearch
subjects:

  • kind: ServiceAccount
    name: elasticsearch
    namespace: kafka
    apiGroup: “”
    roleRef:
    kind: ClusterRole
    name: elasticsearch
    apiGroup: “”

apiVersion: apps/v1
kind: StatefulSet
metadata:
name: elasticsearch-master
namespace: kafka
labels:
k8s-app: elasticsearch
role: master
spec:
replicas: 4
serviceName: elasticsearch-master
selector:
matchLabels:
k8s-app: elasticsearch
role: master
template:
metadata:
labels:
k8s-app: elasticsearch
role: master
spec:
serviceAccountName: elasticsearch
containers:
- image: docker.elastic.co/elasticsearch/elasticsearch:7.5.0
name: elasticsearch-mater
resources:
# need mo

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值