prometheus|云原生|kubernetes内部安装prometheus

架构说明:

prometheus是云原生系统内的事实上的监控标准,而kubernetes集群内部自然还是需要就地取材的部署prometheus服务了

那么,prometheus-server部署的方式其实是非常多的,比如,kubesphere集成方式,helm包方式,yaml文件清单方式,all in one 方式,在本例中,选择使用yaml文件清单方式

部署前需要考虑一个问题,那就是prometheus-server的时序数据库的数据存储问题,在本例中使用的是本地目录挂载方式,也就是host本地挂载,挂载目录 /data

kubernetes集群的版本如下(1.23.16版本,3master,1个工作节点,部署方式为kubekey):

bash 复制代码
[root@node4 yaml]# k get no -owide
NAME    STATUS   ROLES                  AGE   VERSION    INTERNAL-IP      EXTERNAL-IP   OS-IMAGE                KERNEL-VERSION           CONTAINER-RUNTIME
node1   Ready    control-plane,master   10d   v1.23.16   192.168.123.11   <none>        CentOS Linux 7 (Core)   3.10.0-1062.el7.x86_64   docker://20.10.8
node2   Ready    control-plane,master   10d   v1.23.16   192.168.123.12   <none>        CentOS Linux 7 (Core)   3.10.0-1062.el7.x86_64   docker://20.10.8
node3   Ready    control-plane,master   10d   v1.23.16   192.168.123.13   <none>        CentOS Linux 7 (Core)   3.10.0-1062.el7.x86_64   docker://20.10.8
node4   Ready    worker                 10d   v1.23.16   192.168.123.14   <none>        CentOS Linux 7 (Core)   3.10.0-1062.el7.x86_64   docker://20.10.8

prometheus-server的版本为(v2.2.1):

bash 复制代码
[root@node4 yaml]# k get deployments.apps -n monitor-sa -owide
NAME                READY   UP-TO-DATE   AVAILABLE   AGE   CONTAINERS   IMAGES                   SELECTOR
prometheus-server   2/2     2            2           9d    prometheus   prom/prometheus:v2.2.1   app=prometheus,component=server

grafana的版本为(rpm 方式安装的9.4.3):

bash 复制代码
[root@node4 yaml]# rpm -qa |grep grafana
grafana-enterprise-9.4.3-1.x86_64

node-exporter的版本为(v0.16,damonsets控制器):

bash 复制代码
[root@node4 yaml]# k get ds -n monitor-sa -owide
NAME            DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR   AGE   CONTAINERS      IMAGES                       SELECTOR
node-exporter   4         4         4       4            4           <none>          10d   node-exporter   prom/node-exporter:v0.16.0   name=node-exporter

部署成功的pod状态如下:

bash 复制代码
[root@node4 yaml]# k get po -n monitor-sa 
NAME                                READY   STATUS    RESTARTS      AGE
node-exporter-6ttbl                 1/1     Running   1 (77m ago)   10d
node-exporter-7ls5t                 1/1     Running   1 (76m ago)   10d
node-exporter-r287q                 1/1     Running   3 (77m ago)   10d
node-exporter-z85dm                 1/1     Running   1 (77m ago)   10d
prometheus-server-fb59774d6-bgmn7   1/1     Running   0             62m
prometheus-server-fb59774d6-wrq27   1/1     Running   0             62m

下面就如何在kubernetes内 部署一个prometheus做一个介绍

一,

node-exporter的部署

这里需要说明一下,node-exporter是做数据收集工作的,因此,如何收集数据,哪些数据需要收集,哪些数据需要舍弃这些是应该考虑的,虽然exporter只是收集数据,数据并不主动推送到prometheus,而是由prometheus自己来抓取,因此,无需配置存储,但如果node-exporter什么数据都收集,那毫无疑问的,对prometheus会是一种负担。

本例中相关配置是(表示磁盘挂载点的信息不收集):

**- --collector.filesystem.ignored-mount-points

  • '"^/(sys|proc|dev|host|etc)($|/)"'**

prometheus的优化部分,根据以下内容配置

--collector.arp 启用 arp 收集器(默认值:启用)。

--collector.bcache 启用 bcache 收集器(默认值:启用)。

--collector.bonding 启用绑定收集器(默认值:启用)。

--collector.btrfs 启用 btrfs 收集器(默认值:启用)。

--collector.buddyinfo 启用 buddyinfo 收集器(默认值:禁用)。

--collector.conntrack 启用 conntrack 收集器(默认值:启用)。

--collector.cpu 启用 CPU 收集器(默认值:启用)。

--collector.cpufreq 启用 cpufreq 收集器(默认值:启用)。

--collector.diskstats 启用 diskstats 收集器(默认值:启用)。

--collector.drbd 启用 drbd 收集器(默认值:禁用)。

--collector.edac 启用 edac 收集器(默认值:启用)。

--collector.entropy 启用熵收集器(默认值:启用)。

--collector.ethtool 启用 ethtool 收集器(默认值:禁用)。

--collector.fiberchannel 启用光纤通道收集器(默认值:启用)。

--collector.filefd 启用 filefd 收集器(默认值:启用)。

--collector.filesystem 启用文件系统收集器(默认值:启用)。

--collector.hwmon 启用 hwmon 收集器(默认值:启用)。

--collector.infiniband 启用 infiniband 收集器(默认值:启用)。

--collector.interrupts 启用中断收集器(默认值:禁用)。

--collector.ipvs 启用 ipvs 收集器(默认值:启用)。

--collector.ksmd 启用 ksmd 收集器(默认值:禁用)。

--collector.loadavg 启用 loadavg 收集器(默认值:启用)。

--collector.logind 启用登录收集器(默认值:禁用)。

--collector.mdadm 启用 mdadm 收集器(默认值:启用)。

--collector.meminfo 启用 meminfo 收集器(默认值:启用)。

--collector.meminfo_numa 启用 meminfo_numa 收集器(默认值:禁用)。

--collector.mountstats 启用 mountstats 收集器(默认值:禁用)。

--collector.netclass 启用网络类收集器(默认:启用)。

--collector.netdev 启用 netdev 收集器(默认值:启用)。

--collector.netstat 启用 netstat 收集器(默认值:启用)。

--collector.network_route 启用 network_route 收集器(默认值:禁用)。

--collector.nfs 启用 nfs 收集器(默认值:启用)。 --collector.nfsd 启用 nfsd 收集器(默认值:启用)。

--collector.ntp 启用 ntp 收集器(默认值:禁用)。 --collector.nvme 启用 nvme 收集器(默认值:启用)。

--collector.perf 启用性能收集器(默认值:禁用)。 --collector.powersupplyclass 启用 powersupplyclass 收集器(默认值:启用)。

--collector.pressure 启用压力收集器(默认值:启用)。 --collector.processes 启用进程收集器(默认值:禁用)。

--collector.qdisc 启用 qdisc 收集器(默认值:禁用)。 --collector.rapl 启用 rapl 收集器(默认值:启用)。

--collector.runit 启用 runit 收集器(默认值:禁用)。 --collector.schedstat 启用 schedstat 收集器(默认值:启用)。

--collector.sockstat 启用 sockstat 收集器(默认值:启用)。 --collector.softnet 启用软网络收集器(默认值:启用)。

--collector.stat 启用统计收集器(默认值:启用)。 --collector.supervisord 启用 supervisord 收集器(默认值:禁用)。

--collector.systemd 启用 systemd 收集器(默认值:禁用)。 --collector.tapestats 启用tapestats 收集器(默认值:启用)。

--collector.tcpstat 启用 tcpstat 收集器(默认值:禁用)。 --collector.textfile 启用文本文件收集器(默认值:启用)。

--collector.thermal_zone 启用热区收集器(默认值:启用)。 --collector.time 启用时间收集器(默认:启用)。

--collector.timex 启用 timex 收集器(默认值:启用)。 --collector.udp_queues 启用 udp_queues 收集器(默认值:启用)。

--collector.uname 启用 uname 收集器(默认值:启用)。 --collector.vmstat 启用 vmstat 收集器(默认值:启用)。

--collector.wifi 启用 wifi 收集器(默认值:禁用)。 --collector.xfs 启用 xfs 收集器(默认值:启用)。

--collector.zfs 启用 zfs 收集器(默认值:启用)。 --collector.zoneinfo 启用 zoneinfo 收集器(默认值:禁用)。

Example:

复制代码
--collector.filesystem.mount-points-exclude=^/(dev|proc|sys|var/lib/docker/.+|var/lib/kubelet/.+)($|/)

List:

Collector Scope Include Flag Exclude Flag
arp device --collector.arp.device-include --collector.arp.device-exclude
cpu bugs --collector.cpu.info.bugs-include N/A
cpu flags --collector.cpu.info.flags-include N/A
diskstats device --collector.diskstats.device-include --collector.diskstats.device-exclude
ethtool device --collector.ethtool.device-include --collector.ethtool.device-exclude
ethtool metrics --collector.ethtool.metrics-include N/A
filesystem fs-types N/A --collector.filesystem.fs-types-exclude
filesystem mount-points N/A --collector.filesystem.mount-points-exclude
hwmon chip --collector.hwmon.chip-include --collector.hwmon.chip-exclude
netdev device --collector.netdev.device-include --collector.netdev.device-exclude
qdisk device --collector.qdisk.device-include --collector.qdisk.device-exclude
sysctl all --collector.sysctl.include N/A
systemd unit --collector.systemd.unit-include --collector.systemd.unit-exclude

Enabled by default

Name Description OS
arp Exposes ARP statistics from /proc/net/arp. Linux
bcache Exposes bcache statistics from /sys/fs/bcache/. Linux
bonding Exposes the number of configured and active slaves of Linux bonding interfaces. Linux
btrfs Exposes btrfs statistics Linux
boottime Exposes system boot time derived from the kern.boottime sysctl. Darwin, Dragonfly, FreeBSD, NetBSD, OpenBSD, Solaris
conntrack Shows conntrack statistics (does nothing if no /proc/sys/net/netfilter/ present). Linux
cpu Exposes CPU statistics Darwin, Dragonfly, FreeBSD, Linux, Solaris, OpenBSD
cpufreq Exposes CPU frequency statistics Linux, Solaris
diskstats Exposes disk I/O statistics. Darwin, Linux, OpenBSD
dmi Expose Desktop Management Interface (DMI) info from /sys/class/dmi/id/ Linux
edac Exposes error detection and correction statistics. Linux
entropy Exposes available entropy. Linux
exec Exposes execution statistics. Dragonfly, FreeBSD
fibrechannel Exposes fibre channel information and statistics from /sys/class/fc_host/. Linux
filefd Exposes file descriptor statistics from /proc/sys/fs/file-nr. Linux
filesystem Exposes filesystem statistics, such as disk space used. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
hwmon Expose hardware monitoring and sensor data from /sys/class/hwmon/. Linux
infiniband Exposes network statistics specific to InfiniBand and Intel OmniPath configurations. Linux
ipvs Exposes IPVS status from /proc/net/ip_vs and stats from /proc/net/ip_vs_stats. Linux
loadavg Exposes load average. Darwin, Dragonfly, FreeBSD, Linux, NetBSD, OpenBSD, Solaris
mdadm Exposes statistics about devices in /proc/mdstat (does nothing if no /proc/mdstat present). Linux
meminfo Exposes memory statistics. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
netclass Exposes network interface info from /sys/class/net/ Linux
netdev Exposes network interface statistics such as bytes transferred. Darwin, Dragonfly, FreeBSD, Linux, OpenBSD
netisr Exposes netisr statistics FreeBSD
netstat Exposes network statistics from /proc/net/netstat. This is the same information as netstat -s. Linux
nfs Exposes NFS client statistics from /proc/net/rpc/nfs. This is the same information as nfsstat -c. Linux
nfsd Exposes NFS kernel server statistics from /proc/net/rpc/nfsd. This is the same information as nfsstat -s. Linux
nvme Exposes NVMe info from /sys/class/nvme/ Linux
os Expose OS release info from /etc/os-release or /usr/lib/os-release any
powersupplyclass Exposes Power Supply statistics from /sys/class/power_supply Linux
pressure Exposes pressure stall statistics from /proc/pressure/. Linux (kernel 4.20+ and/or CONFIG_PSI)
rapl Exposes various statistics from /sys/class/powercap. Linux
schedstat Exposes task scheduler statistics from /proc/schedstat. Linux
selinux Exposes SELinux statistics. Linux
sockstat Exposes various statistics from /proc/net/sockstat. Linux
softnet Exposes statistics from /proc/net/softnet_stat. Linux
stat Exposes various statistics from /proc/stat. This includes boot time, forks and interrupts. Linux
tapestats Exposes statistics from /sys/class/scsi_tape. Linux
textfile Exposes statistics read from local disk. The --collector.textfile.directory flag must be set. any
thermal Exposes thermal statistics like pmset -g therm. Darwin
thermal_zone Exposes thermal zone & cooling device statistics from /sys/class/thermal. Linux
time Exposes the current system time. any
timex Exposes selected adjtimex(2) system call stats. Linux
udp_queues Exposes UDP total lengths of the rx_queue and tx_queue from /proc/net/udp and /proc/net/udp6. Linux
uname Exposes system information as provided by the uname system call. Darwin, FreeBSD, Linux, OpenBSD
vmstat Exposes statistics from /proc/vmstat. Linux
xfs Exposes XFS runtime statistics. Linux (kernel 4.4+)
zfs Exposes ZFS performance statistics. FreeBSD, Linux, Solaris

node-exporter的部署文件:

bash 复制代码
cat >node-export.yaml <<EOF
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: monitor-sa
  labels:
    name: node-exporter
spec:
  selector:
    matchLabels:
     name: node-exporter
  template:
    metadata:
      labels:
        name: node-exporter
    spec:
      hostPID: true
      hostIPC: true
      hostNetwork: true
      containers:
      - name: node-exporter
        image: prom/node-exporter:v0.16.0
        ports:
        - containerPort: 9100
        resources:
          requests:
            cpu: 0.15
        securityContext:
          privileged: true
        args:
        - --path.procfs
        - /host/proc
        - --path.sysfs
        - /host/sys
        - --collector.filesystem.ignored-mount-points
        - '"^/(sys|proc|dev|host|etc)($|/)"'
        volumeMounts:
        - name: dev
          mountPath: /host/dev
        - name: proc
          mountPath: /host/proc
        - name: sys
          mountPath: /host/sys
        - name: rootfs
          mountPath: /rootfs
      tolerations:
      - key: "node-role.kubernetes.io/master"
        operator: "Exists"
        effect: "NoSchedule"
      volumes:
        - name: proc
          hostPath:
            path: /proc
        - name: dev
          hostPath:
            path: /dev
        - name: sys
          hostPath:
            path: /sys
        - name: rootfs
          hostPath:
            path: /
EOF

二,

kube-state-metrics收集器的部署

kube-state-metrics是kubernetes内部专门收集pod,deployment,ds,sts等等资源的状态的收集器,该收集器收集到的数据由prometheus-server 服务自己主动来抓取

例如,我们查询该服务的日志可以看到,有一些资源它没有收集到,原因是sa权限不足,但这些无需担心,和node-exporter一样,某些数据我们是并不需要收集的:

bash 复制代码
E1202 13:10:33.591335       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.Secret: secrets is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "secrets" in API group "" at the cluster scope
E1202 13:10:33.592118       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1beta1.MutatingWebhookConfiguration: mutatingwebhookconfigurations.admissionregistration.k8s.io is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "mutatingwebhookconfigurations" in API group "admissionregistration.k8s.io" at the cluster scope
E1202 13:10:33.593079       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.Namespace: networkpolicies.networking.k8s.io is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "networkpolicies" in API group "networking.k8s.io" at the cluster scope
E1202 13:10:33.597030       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.ReplicaSet: replicasets.apps is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "replicasets" in API group "apps" at the cluster scope
E1202 13:10:33.599890       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1beta1.ValidatingWebhookConfiguration: validatingwebhookconfigurations.admissionregistration.k8s.io is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "validatingwebhookconfigurations" in API group "admissionregistration.k8s.io" at the cluster scope
E1202 13:10:34.580372       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.StorageClass: storageclasses.storage.k8s.io is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "storageclasses" in API group "storage.k8s.io" at the cluster scope
E1202 13:10:34.580373       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.ConfigMap: configmaps is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "configmaps" in API group "" at the cluster scope
E1202 13:10:34.586583       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1beta1.PodDisruptionBudget: poddisruptionbudgets.policy is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "poddisruptionbudgets" in API group "policy" at the cluster scope
E1202 13:10:34.586669       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1.Deployment: deployments.apps is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "deployments" in API group "apps" at the cluster scope
E1202 13:10:34.587055       1 reflector.go:156] pkg/mod/k8s.io/client-go@v0.0.0-20191109102209-3c0d1af94be5/tools/cache/reflector.go:108: Failed to list *v1beta1.VolumeAttachment: volumeattachments.storage.k8s.io is forbidden: User "system:serviceaccount:kube-system:kube-state-metrics" cannot list resource "volumeattachments" in API group "storage.k8s.io" at the cluster scope

kube-state-metrics的RBAC:

这里上面的缺的收集cm的权限我已经补上了

bash 复制代码
cat> kube-state-metrics-rbac.yaml <<EOF
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: kube-state-metrics
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: kube-state-metrics
rules:
- apiGroups: [""]
  resources: ["nodes", "pods", "services", "resourcequotas", "replicationcontrollers", "limitranges", "persistentvolumeclaims", "persistentvolumes", "namespaces", "endpoints"]
  verbs: ["list", "watch"]
- apiGroups: ["extensions"]
  resources: ["daemonsets", "deployments", "replicasets"]
  verbs: ["list", "watch"]
- apiGroups: ["apps"]
  resources: ["statefulsets","daemonsets","replicasets","deployments"]
  verbs: ["list", "watch"]
- apiGroups: ["batch"]
  resources: ["cronjobs", "jobs"]
  verbs: ["list", "watch"]
- apiGroups: ["autoscaling"]
  resources: ["horizontalpodautoscalers"]
  verbs: ["list", "watch"]
- apiGroups: [""]
  resources: ["configmaps","secrets"]
  verbs: ["list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kube-state-metrics
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kube-state-metrics
subjects:
- kind: ServiceAccount
  name: kube-state-metrics
  namespace: kube-system
EOF

kube-state-metrics的svc:

这里有一个注解,prometheus.io/scrape: 'true' 表示允许prometheus收集数据

bash 复制代码
cat> kube-state-metrics-svc.yaml <<EOF
apiVersion: v1
kind: Service
metadata:
  annotations:
    prometheus.io/scrape: 'true'
  name: kube-state-metrics
  namespace: kube-system
  labels:
    app: kube-state-metrics
spec:
  ports:
  - name: kube-state-metrics
    port: 8080
    protocol: TCP
  selector:
    app: kube-state-metrics
EOF

kube-state-metrics的deployment:

bash 复制代码
cat >kube-state-metrics-deploy.yaml <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kube-state-metrics
  namespace: kube-system
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kube-state-metrics
  template:
    metadata:
      labels:
        app: kube-state-metrics
    spec:
      serviceAccountName: kube-state-metrics
      containers:
      - name: kube-state-metrics
#        image: gcr.io/google_containers/kube-state-metrics-amd64:v1.3.1
        image: quay.io/coreos/kube-state-metrics:v1.9.0
        ports:
        - containerPort: 8080
EOF

三,

prometheus-server的部署

1,

prometheus-svc

bash 复制代码
cat >prometheus-cfg.yaml <<EOF
---
kind: ConfigMap
apiVersion: v1
metadata:
  labels:
    app: prometheus
  name: prometheus-config
  namespace: monitor-sa
data:
  prometheus.yml: |
    global:
      scrape_interval: 15s
      scrape_timeout: 10s
      evaluation_interval: 1m
    scrape_configs:
    - job_name: 'kubernetes-node'
      kubernetes_sd_configs:
      - role: node
      relabel_configs:
      - source_labels: [__address__]
        regex: '(.*):10250'
        replacement: '${1}:9100'
        target_label: __address__
        action: replace
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
    - job_name: 'kubernetes-node-cadvisor'
      kubernetes_sd_configs:
      - role:  node
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      - target_label: __address__
        replacement: kubernetes.default.svc:443
      - source_labels: [__meta_kubernetes_node_name]
        regex: (.+)
        target_label: __metrics_path__
        replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor
    - job_name: 'kubernetes-apiserver'
      kubernetes_sd_configs:
      - role: endpoints
      scheme: https
      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, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: default;kubernetes;https
EOF

2,

prometheus-svc:

bash 复制代码
cat >prometheus-svc.yaml <<EOF
---
apiVersion: v1
kind: Service
metadata:
  name: prometheus
  namespace: monitor-sa
  labels:
    app: prometheus
spec:
  type: NodePort
  ports:
    - port: 9090
      targetPort: 9090
      protocol: TCP
  selector:
    app: prometheus
    component: server
EOF

3,

bash 复制代码
cat >prometheus-deploy.yaml <<EOF
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus-server
  namespace: monitor-sa
  labels:
    app: prometheus
spec:
  replicas: 2
  selector:
    matchLabels:
      app: prometheus
      component: server
    #matchExpressions:
    #- {key: app, operator: In, values: [prometheus]}
    #- {key: component, operator: In, values: [server]}
  template:
    metadata:
      labels:
        app: prometheus
        component: server
      annotations:
        prometheus.io/scrape: 'false'
    spec:
      nodeName: node4
      serviceAccountName: monitor
      containers:
      - name: prometheus
        image: prom/prometheus:v2.2.1
        imagePullPolicy: IfNotPresent
        command:
          - prometheus
          - --config.file=/etc/prometheus/prometheus.yml
          - --storage.tsdb.path=/prometheus
          - --storage.tsdb.retention=720h
        ports:
        - containerPort: 9090
          protocol: TCP
        volumeMounts:
        - mountPath: /etc/prometheus/prometheus.yml
          name: prometheus-config
          subPath: prometheus.yml
        - mountPath: /prometheus/
          name: prometheus-storage-volume
      volumes:
        - name: prometheus-config
          configMap:
            name: prometheus-config
            items:
              - key: prometheus.yml
                path: prometheus.yml
                mode: 0644
        - name: prometheus-storage-volume
          hostPath:
           path: /data
           type: Directory
EOF

以上所有部署执行完毕后,查看prometheus-server的svc:

bash 复制代码
[root@node4 yaml]# k get svc -n monitor-sa 
NAME         TYPE       CLUSTER-IP    EXTERNAL-IP   PORT(S)          AGE
prometheus   NodePort   10.96.0.120   <none>        9090:32661/TCP   10d

根据该port,打开浏览器,进入prometheus的web界面:

至此,kubernetes集群内的prometheus-server服务就安装完毕了!!!!!!

grafana默认安装就可以了,rpm方式安装,没什么好说的,主要是数据源设置如下:

相关推荐
聂 可 以1 小时前
Windows环境安装MongoDB
数据库·mongodb
web前端神器1 小时前
mongodb多表查询,五个表查询
数据库·mongodb
门牙咬脆骨1 小时前
【Redis】redis缓存击穿,缓存雪崩,缓存穿透
数据库·redis·缓存
门牙咬脆骨1 小时前
【Redis】GEO数据结构
数据库·redis·缓存
wuxingge2 小时前
k8s1.30.0高可用集群部署
云原生·容器·kubernetes
wusong9992 小时前
mongoDB回顾笔记(一)
数据库·笔记·mongodb
代码小鑫2 小时前
A043-基于Spring Boot的秒杀系统设计与实现
java·开发语言·数据库·spring boot·后端·spring·毕业设计
changuncle2 小时前
MongoDB数据备份与恢复(内含工具下载、数据处理以及常见问题解决方法)
数据库·mongodb
久醉不在酒2 小时前
MySQL数据库运维及集群搭建
运维·数据库·mysql
WindFutrue2 小时前
使用Mybatis向Mysql中的插入Point类型的数据全方位解析
数据库·mysql·mybatis