Prometheus K8S部署
部署方式：https://github.com/kubernetes/kubernetes/tree/master/cluster/addons/prometheus
源码目录：kubernetes/cluster/addons/prometheus
服务发现：https://prometheus.io/docs/prometheus/latest/configuration/configuration/#kubernetes_sd_config
部署条件
1、K8S中部署内部DNS服务
2、已有可使用的动态PV
配置文件
下列是已经修改好的配置文件，可根据条件自行微调
- # 访问api授权
- prometheus-rbac.yaml
apiVersion: v1
# 创建 ServiceAccount 授予权限
kind: ServiceAccount
metadata:
name: prometheus
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: prometheus
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
- ""
# 授予的权限
resources:
- nodes
- nodes/metrics
- services
- endpoints
- pods
verbs:
- get
- list
- watch
- apiGroups:
- ""
resources:
- configmaps
verbs:
- get
- nonResourceURLs:
- "/metrics"
verbs:
- get
---
# 角色绑定
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: prometheus
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus
subjects:
- kind: ServiceAccount
name: prometheus
namespace: kube-system配置文件
- # 管理prometheus配置文件
- prometheus-configmap.yaml
# Prometheus configuration format https://prometheus.io/docs/prometheus/latest/configuration/configuration/
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-config
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: EnsureExists
data:
# 存放prometheus配置文件
prometheus.yml: |
# 配置采集目标
scrape_configs:
- job_name: prometheus
static_configs:
- targets:
# 采集自身
- localhost:9090 # 采集：Apiserver 生存指标
# 创建的job name 名称为 kubernetes-apiservers
- job_name: kubernetes-apiservers
# 基于k8s的服务发现
kubernetes_sd_configs:
- role: endpoints
# 使用通信标记标签
relabel_configs:
# 保留正则匹配标签
- action: keep
# 已经包含
regex: default;kubernetes;https
source_labels:
- __meta_kubernetes_namespace
- __meta_kubernetes_service_name
- __meta_kubernetes_endpoint_port_name
# 使用方法为https、默认http
scheme: https
tls_config:
# promethus访问Apiserver使用认证
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
# 跳过https认证
insecure_skip_verify: true
# promethus访问Apiserver使用认证
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token # 采集：Kubelet 生存指标
- job_name: kubernetes-nodes-kubelet
kubernetes_sd_configs:
# 发现集群中所有的Node
- role: node
relabel_configs:
# 通过regex获取关键信息
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
insecure_skip_verify: true
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token # 采集：nodes-cadvisor 信息
- job_name: kubernetes-nodes-cadvisor
kubernetes_sd_configs:
- role: node
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
# 重命名标签
- target_label: __metrics_path__
replacement: /metrics/cadvisor
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
insecure_skip_verify: true
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token # 采集：service-endpoints 信息
- job_name: kubernetes-service-endpoints
# 选定指标
kubernetes_sd_configs:
- role: endpoints
relabel_configs:
- action: keep
regex: true
# 指定源标签
source_labels:
- __meta_kubernetes_service_annotation_prometheus_io_scrape
- action: replace
regex: (https?)
source_labels:
- __meta_kubernetes_service_annotation_prometheus_io_scheme
# 重命名标签采集
target_label: __scheme__
- action: replace
regex: (.+)
source_labels:
- __meta_kubernetes_service_annotation_prometheus_io_path
target_label: __metrics_path__
- action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
source_labels:
- __address__
- __meta_kubernetes_service_annotation_prometheus_io_port
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- action: replace
source_labels:
- __meta_kubernetes_namespace
target_label: kubernetes_namespace
- action: replace
source_labels:
- __meta_kubernetes_service_name
target_label: kubernetes_name # 采集：kubernetes-services 服务指标
- job_name: kubernetes-services
kubernetes_sd_configs:
- role: service
# 黑盒探测，探测IP与端口是否可用
metrics_path: /probe
params:
module:
- http_2xx
relabel_configs:
- action: keep
regex: true
source_labels:
- __meta_kubernetes_service_annotation_prometheus_io_probe
- source_labels:
- __address__
target_label: __param_target
# 使用 blackbox进行黑盒探测
- replacement: blackbox
target_label: __address__
- source_labels:
- __param_target
target_label: instance
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- source_labels:
- __meta_kubernetes_namespace
target_label: kubernetes_namespace
- source_labels:
- __meta_kubernetes_service_name
target_label: kubernetes_name # 采集： kubernetes-pods 信息
- job_name: kubernetes-pods
kubernetes_sd_configs:
- role: pod
relabel_configs:
- action: keep
regex: true
source_labels:
# 只保留采集的信息
- __meta_kubernetes_pod_annotation_prometheus_io_scrape
- action: replace
regex: (.+)
source_labels:
- __meta_kubernetes_pod_annotation_prometheus_io_path
target_label: __metrics_path__
- action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
source_labels:
# 采集地址
- __address__
# 采集端口
- __meta_kubernetes_pod_annotation_prometheus_io_port
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- action: replace
source_labels:
- __meta_kubernetes_namespace
target_label: kubernetes_namespace
- action: replace
source_labels:
- __meta_kubernetes_pod_name
target_label: kubernetes_pod_name
alerting:
# 告警配置文件
alertmanagers:
- kubernetes_sd_configs:
# 采用动态获取
- role: pod
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
relabel_configs:
- source_labels: [__meta_kubernetes_namespace]
regex: kube-system
action: keep
- source_labels: [__meta_kubernetes_pod_label_k8s_app]
regex: alertmanager
action: keep
- source_labels: [__meta_kubernetes_pod_container_port_number]
regex:
action: drop配置文件
- # 将prometheus暴露访问
- prometheus-service.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: prometheus
# 部署命名空间
namespace: kube-system
labels:
k8s-app: prometheus
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
version: v2.2.1
spec:
serviceName: "prometheus"
replicas: 1
podManagementPolicy: "Parallel"
updateStrategy:
type: "RollingUpdate"
selector:
matchLabels:
k8s-app: prometheus
template:
metadata:
labels:
k8s-app: prometheus
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ''
spec:
priorityClassName: system-cluster-critical
serviceAccountName: prometheus
# 初始化容器
initContainers:
- name: "init-chown-data"
image: "busybox:latest"
imagePullPolicy: "IfNotPresent"
command: ["chown", "-R", "65534:65534", "/data"]
volumeMounts:
- name: prometheus-data
mountPath: /data
subPath: ""
containers:
- name: prometheus-server-configmap-reload
image: "jimmidyson/configmap-reload:v0.1"
imagePullPolicy: "IfNotPresent"
args:
- --volume-dir=/etc/config
- --webhook-url=http://localhost:9090/-/reload
volumeMounts:
- name: config-volume
mountPath: /etc/config
readOnly: true
resources:
limits:
cpu: 10m
memory: 10Mi
requests:
cpu: 10m
memory: 10Mi - name: prometheus-server
# 主要使用镜像
image: "prom/prometheus:v2.2.1"
imagePullPolicy: "IfNotPresent"
args:
- --config.file=/etc/config/prometheus.yml
- --storage.tsdb.path=/data
- --web.console.libraries=/etc/prometheus/console_libraries
- --web.console.templates=/etc/prometheus/consoles
- --web.enable-lifecycle
ports:
- containerPort: 9090
readinessProbe:
# 健康检查
httpGet:
path: /-/ready
port: 9090
initialDelaySeconds: 30
timeoutSeconds: 30
livenessProbe:
httpGet:
path: /-/healthy
port: 9090
initialDelaySeconds: 30
timeoutSeconds: 30
# based on 10 running nodes with 30 pods each
resources:
limits:
cpu: 200m
memory: 1000Mi
requests:
cpu: 200m
memory: 1000Mi
# 数据卷
volumeMounts:
- name: config-volume
mountPath: /etc/config
- name: prometheus-data
mountPath: /data
subPath: ""
terminationGracePeriodSeconds: 300
volumes:
- name: config-volume
configMap:
name: prometheus-config
volumeClaimTemplates:
- metadata:
name: prometheus-data
spec:
# 使用动态PV、修改为已创建的PV动态存储
storageClassName: managed-nfs-storage
accessModes:
- ReadWriteOnce
resources:
requests:
storage: "16Gi"配置文件
- # 通过有状态的形式将prometheus部署
- prometheus-statefulset.yaml
kind: Service
apiVersion: v1
metadata:
name: prometheus
# 指定命名空间
namespace: kube-system
labels:
kubernetes.io/name: "Prometheus"
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
# 添加外部访问
type: NodePort
# 指定内部访问协议
ports:
- name: http
port: 9090
protocol: TCP
targetPort: 9090
selector:
k8s-app: prometheus配置文件
部署
1、下载github包：https://github.com/kubernetes/kubernetes/
2、复制文件到指定目录
mkdir ~/prometheus
cp ~/kubernetes/cluster/addons/prometheus/* ~/prometheus/
3、进入到目录
cd ~/prometheus/
4、k8s通过配置文件创建运行容器
kubectl apply -f prometheus-rbac.yaml
kubectl apply -f prometheus-configmap.yaml
kubectl apply -f prometheus-statefulset.yaml
kubectl apply -f prometheus-service.yaml
5、查看创建资源
kubectl get pod,svc -n kube-system
NAME READY STATUS RESTARTS AGE
pod/coredns-64479cf49b-lsqqn 1/1 Running 0 75m
pod/prometheus-0 2/2 Running 0 2m12s NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kube-dns ClusterIP 10.0.0.2 <none> 53/UDP,53/TCP,9153/TCP 75m
service/prometheus NodePort 10.0.0.170 <none> 9090:42575/TCP 8s
6、测试通过端口开启端口访问监控端
Prometheus K8S部署的更多相关文章
-
k8s部署prometheus
https://www.kancloud.cn/huyipow/prometheus/527092 https://songjiayang.gitbooks.io/prometheus/content ...
-
Prometheus K8S中部署Alertmanager
Prometheus K8S中部署Alertmanager 设置告警和通知的主要步骤如下:一.部署Alertmanager二.配置Prometheus与Alertmanager通信三.配置告警 1. ...
-
prometheus operator 部署
prometheus operator 部署自定义记录 环境: k8s 1.11集群版本,kubeadm部署 docker 17.3.2版本 Centos 7系统 阿里云服务器 operator 源码 ...
-
Python服务Dokcer化并k8s部署实例
这篇文章记录了我试验将一个基于python的服务docker化并k8s部署的过程. 服务介绍Docker化设计业务代码改造创建docker镜像K8S部署设计yaml文件运行服务介绍这是一个用 pyth ...
-
prometheus + grafana部署RabbitMQ监控
prometheus + grafana部署RabbitMQ监控 1.grafana导入dashboards https://grafana.com/dashboards/2121 2.expor ...
-
ballerina 学习二十七 项目k8s部署&;&; 运行
ballerina k8s 部署和docker 都是同样的简单,编写service 添加注解就可以了 参考项目 https://ballerina.io/learn/by-guide/restful- ...
-
Rancher+K8S部署手册
目前创建K8S集群的安装程序最受欢迎的有Kops,Kubespray,kubeadm,rancher,以及个人提供的脚本集等. Kops和Kubespary在国外用的比较多,没有处理中国的网络问题,没 ...
-
Jenkins+Git+Docker+K8s部署
准备工作 Jenkins已安装 Docker和K8s部署运行成功 代码管理工具使用Git 最近公司项目使用Jenkins+Git+Docker+K8s进行持续化构建部署,这里笔者整理了一下构建部署的相 ...
-
K8S部署
k8S部署 柯穴上网 安装openvpn来获取docker镜像(不是本文重点不做详述) 软件包安装 1 关闭iptables,禁用firewalld,关闭selinux 2 配置yum仓库(使用阿里云 ...
随机推荐
-
LeetCode[3] Longest Substring Without Repeating Characters
题目描述 Given a string, find the length of the longest substring without repeating characters. For exam ...
-
黄聪：微信支付错误两个问题的解决：curl出错，错误码:60
如下是运行微信支付测试代码时出错代码: Warning: curl_setopt() expects parameter 2 to be long, string given in D:\wwwroo ...
-
【读书笔记】iOS网络-异步请求与运行循环
异步请求需要运行循环.当数据传递到服务器或是被客户端接收时,运行循环用于实现事件与委托对象之间的通信.异步请求在发出时,会在当前线程的运行循环上操作,这个实现细节是很重要的,因为在GCD块中或者是通过 ...
-
C# 利用SMTP异步发送邮件
C#实现收发邮件功能需要用到两个命名空间 System.Net; 和 System.Net.Mail; SmtpClient client = new SmtpClient("smtp.g ...
-
Android学习探索之运用MVP设计模式实现项目解耦
前言: 一直致力于提高开发效率降低项目耦合,今天想抽空学习一下MVP架构设计模式,学习一下如何运用到项目中. MVP架构设计模式 MVP模式是一种架构设计模式,也是一种经典的界面模式.MVP中的M代表 ...
-
win10 uwp 获得焦点改变
本文讲的是当我们应用失去焦点时,我们获得事件,当我们应用获得焦点,同样获得事件.同时,在应用不可以见时,我们也可以获得. 上面一张图,开始是应用启动,获得焦点,应用显示.然后我们打开另一个应用,切换, ...
-
芝麻HTTP：Python爬虫入门之Cookie的使用
为什么要使用Cookie呢? Cookie,指某些网站为了辨别用户身份.进行session跟踪而储存在用户本地终端上的数据(通常经过加密) 比如说有些网站需要登录后才能访问某个页面,在登录之前,你想抓 ...
-
c++中求数组长度
#include <iostream> using namespace std; template <class T> int getArrSize(T& arr){ ...
-
java中的接口与继承，接口的例子讲解
extends 继承类:implements 实现接口. 简单说: 1.extends是继承父类,只要那个类不是声明为final或者那个类定义为abstract的就能继承, 2.JAVA中不支持多重继 ...
-
11-02 Java Object类使用详解
Object 作为超类 Object是类层次结构的根类,所有的类都直接或者间接的继承自Object类. Object类的构造方法有一个,并且是无参构造,这其实就是理解当时我们说过,子类构造方法默认访 ...