关于kubernetes:Kubernetes-1205-安装PrometheusOprator

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线上 kubernetes 集群为 1.16 版本 Prometheus oprator 分支为 0.4 对于 Prometheus oprator 与 kubernetes 版本对应关系如下图。可见 https://github.com/prometheus-operator/kube-prometheus.
注：Prometheus operator？kube-prometheus? kube-prometheus 就是 Prometheus 的一种 operator 的部署形式 ….Prometheus-operator 曾经改名为 Kube-promethues。

对于部署过程能够参考超级小豆丁大佬的笔记：http://www.mydlq.club/article/10/。Prometheus 这种架构图，在各位大佬的文章中都能够看到的 …….

先简略部署一下 Prometheus oprator（or 或者叫 kube-promethus）。实现微信报警的集成，其余的缓缓在生成环境中钻研。
根本过程就是 Prometheus oprator 增加存储，减少微信报警，内部 traefik 代理利用。

git clone https://github.com/prometheus-operator/kube-prometheus.git

网络起因，常常会搞不下来的，还是间接下载 zip 包吧，其实装置版本的反对列表 kubernetes1.20 的版本能够应用 kube-prometheus 的 0.6 or 0.7 还有 HEAD 分支的任一分支。偷个懒间接用 HEAD 了。
记录一下 tag，当前有批改了也好能疾速批改了让版本升级跟得上 …..

上传 zip 包解压缩

unzip kube-prometheus-main.zip

cd kube-prometheus-main/
kubectl create -f manifests/setup
until kubectl get servicemonitors --all-namespaces ; do date; sleep 1; echo ""; done
kubectl create -f manifests/
kubectl get pods -n monitoring

因为网络起因会呈现有些镜像下载不下来的问题，可墙外服务器下载镜像批改 tag 上传到 harbor，批改 yaml 文件中镜像为对应公有镜像仓库的标签 tag 解决(因为我的公有仓库用的腾讯云的仓库，当初跨地区上传镜像应该个人版的不能够了，所以我应用了 docker save 导出镜像的形式)：

kubectl describe pods kube-state-metrics-56f988c7b6-qxqjn -n monitoring

docker pull k8s.gcr.io/kube-state-metrics/kube-state-metrics:v2.0.0-rc.0
docker save k8s.gcr.io/kube-state-metrics/kube-state-metrics:v2.0.0-rc.0 -o kube-state-metrics.tar

ctr -n k8s.io i import kube-state-metrics.tar

导入的只是一个工作节点这样，然而 kubernetes 原本就是保障高可用用性，如果这个 pod 漂移调度到其余节点呢？难道要加上节点亲和性？这个节点如果就解体了呢？每个节点都导入此镜像？新退出的节点呢？还是老老实实的上传到镜像仓库吧！
失常的流程应该是这样吧？

crictl images
ctr image tag k8s.gcr.io/kube-state-metrics/kube-state-metrics:v2.0.0-rc.0 ccr.ccs.tencentyun.com/k8s_containers/kube-state-metrics:v2.0.0-rc.0

然而为什么是 not found? 不晓得是不是标签格局问题 ….。反正就这样了，而后上传到镜像库，具体命令能够参考 https://blog.csdn.net/tongzidane/article/details/114587138 https://blog.csdn.net/liumiaocn/article/details/103320426/
（上传我的仓库权限还是有问题（仓库外面能够下载啊然而我 …….. 搞迷糊了），不先搞了间接导入了）

反正咋样把 kube-state-metrics-XXXX 启动起来就好了，有工夫好好钻研下 ctr crictl 命令还是有点懵。

kubectl get pod -n monitoring
kubectl get svc -n monitoring

注：参照前文Kubernetes 1.20.5 装置 traefik 在腾讯云下的实际https://www.yuque.com/duiniwukenaihe/ehb02i/odflm7#WT4ab。比拟习惯了 ingresroute 的形式就放弃这种了没有应用 ingress 或者 api 的形式。

cat monitoring.com.yaml

apiVersion: traefik.containo.us/v1alpha1
kind: IngressRoute
metadata:
  namespace: monitoring
  name: alertmanager-main-http
spec:
  entryPoints:
    - web
  routes:
    - match: Host(\`alertmanager.saynaihe.com\`)
      kind: Rule
      services:
        - name: alertmanager-main
          port: 9093
---
apiVersion: traefik.containo.us/v1alpha1
kind: IngressRoute
metadata:
  namespace: monitoring
  name: grafana-http
spec:
  entryPoints:
    - web
  routes:
    - match: Host(\`monitoring.saynaihe.com\`)
      kind: Rule
      services:
        - name: grafana
          port: 3000
---
apiVersion: traefik.containo.us/v1alpha1
kind: IngressRoute
metadata:
  namespace: monitoring
  name: prometheus
spec:
  entryPoints:
    - web
  routes:
    - match: Host(\`prometheus.saynaihe.com\`)
      kind: Rule
      services:
        - name: prometheus-k8s
          port: 9090
---

kubectl apply -f monitoring.com.yaml

验证 traefik 代理利用是否胜利：

批改明码

先轻易演示一下，前面比拟还要批改

仅用于演示，前面起码 alertmanager Prometheus 两个 web 要加个 basic 平安验证 ….

通过 https://prometheus.saynaihe.com/targets 页面能够看到和前几个版本一样仍然木有 kube-scheduler 和 kube-controller-manager 的监控。

批改 /etc/kubernetes/manifests/ 目录下 kube-controller-manager.yaml kube-scheduler.yaml 将 – –bind-address=127.0.0.1 批改为 – –bind-address=0.0.0.0

批改为配置文件 control manager scheduler 服务会主动重启的。期待重启验证通过。

在 manifests 目录下（这一步一点要认真看下新版的 matchLabels 产生了扭转）

grep -A2 -B2  selector kubernetes-serviceMonitor*

cat <<EOF > kube-controller-manager-scheduler.yml
apiVersion: v1
kind: Service
metadata:
  namespace: kube-system
  name: kube-controller-manager
  labels:
    app.kubernetes.io/name: kube-controller-manager
spec:
  selector:
    component: kube-controller-manager
  type: ClusterIP
  clusterIP: None
  ports:
  - name: https-metrics
    port: 10257
    targetPort: 10257
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  namespace: kube-system
  name: kube-scheduler
  labels:
    app.kubernetes.io/name: kube-scheduler
spec:
  selector:
    component: kube-scheduler
  type: ClusterIP
  clusterIP: None
  ports:
  - name: https-metrics
    port: 10259
    targetPort: 10259
    protocol: TCP
EOF
 kubectl apply -f kube-controller-manager-scheduler.yml

cat <<EOF > kube-ep.yml
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: kube-controller-manager
  name: kube-controller-manager
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.3.2.5
  - ip: 10.3.2.13
  - ip: 10.3.2.16
  ports:
  - name: https-metrics
    port: 10257
    protocol: TCP
---
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: kube-scheduler
  name: kube-scheduler
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.3.2.5
  - ip: 10.3.2.13
  - ip: 10.3.2.16
  ports:
  - name: https-metrics
    port: 10259
    protocol: TCP
EOF
 kubectl apply -f kube-ep.yml

登陆 https://prometheus.saynaihe.com/targets 进行验证：

kubectl -n monitoring create secret generic etcd-certs --from-file=/etc/kubernetes/pki/etcd/healthcheck-client.crt --from-file=/etc/kubernetes/pki/etcd/healthcheck-client.key --from-file=/etc/kubernetes/pki/etcd/ca.crt
kubectl edit prometheus k8s -n monitoring

验证 Prometheus 是否失常挂载证书

[root@sh-master-02 yaml]#  kubectl exec -it prometheus-k8s-0 /bin/sh -n monitoring
kubectl exec [POD] [COMMAND] is DEPRECATED and will be removed in a future version. Use kubectl exec [POD] -- [COMMAND] instead.
Defaulting container name to prometheus.
Use 'kubectl describe pod/prometheus-k8s-0 -n monitoring' to see all of the containers in this pod.
/prometheus $ ls /etc/prometheus/secrets/etcd-certs/
ca.crt                  healthcheck-client.crt  healthcheck-client.key

cat <<EOF > kube-ep-etcd.yml
apiVersion: v1
kind: Service
metadata:
  name: etcd-k8s
  namespace: kube-system
  labels:
    k8s-app: etcd
spec:
  type: ClusterIP
  clusterIP: None
  ports:
  - name: etcd
    port: 2379
    protocol: TCP

---
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: etcd
  name: etcd-k8s
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.3.2.5
  - ip: 10.3.2.13
  - ip: 10.3.2.16
  ports:
  - name: etcd
    port: 2379
    protocol: TCP
---
EOF
 kubectl apply -f kube-ep-etcd.yml

cat <<EOF > prometheus-serviceMonitorEtcd.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: etcd-k8s
  namespace: monitoring
  labels:
    k8s-app: etcd
spec:
  jobLabel: k8s-app
  endpoints:
  - port: etcd
    interval: 30s
    scheme: https
    tlsConfig:
      caFile: /etc/prometheus/secrets/etcd-certs/ca.crt
      certFile: /etc/prometheus/secrets/etcd-certs/healthcheck-client.crt
      keyFile: /etc/prometheus/secrets/etcd-certs/healthcheck-client.key
      insecureSkipVerify: true
  selector:
    matchLabels:
      k8s-app: etcd
  namespaceSelector:
    matchNames:
    - kube-system
EOF
 kubectl apply -f prometheus-serviceMonitorEtcd.yaml

网上轻易抄了一个

cat <<EOF > prometheus-additional.yaml
- job_name: 'kubernetes-endpoints'
  kubernetes_sd_configs:
  - role: endpoints
  relabel_configs:
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
    action: keep
    regex: true
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
    action: replace
    target_label: __scheme__
    regex: (https?)
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
    action: replace
    target_label: __metrics_path__
    regex: (.+)
  - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
    action: replace
    target_label: __address__
    regex: ([^:]+)(?::\d+)?;(\d+)
    replacement: $1:$2
  - action: labelmap
    regex: __meta_kubernetes_service_label_(.+)
  - source_labels: [__meta_kubernetes_namespace]
    action: replace
    target_label: kubernetes_namespace
  - source_labels: [__meta_kubernetes_service_name]
    action: replace
    target_label: kubernetes_name
  - source_labels: [__meta_kubernetes_pod_name]
    action: replace
    target_label: kubernetes_pod_name
EOF
kubectl create secret generic additional-configs --from-file=prometheus-additional.yaml -n monitoring

cat <<EOF > prometheus-prometheus.yaml
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
  labels:
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.25.0
    prometheus: k8s
  name: k8s
  namespace: monitoring
spec:
  alerting:
    alertmanagers:
    - apiVersion: v2
      name: alertmanager-main
      namespace: monitoring
      port: web
  externalLabels: {}
  image: quay.io/prometheus/prometheus:v2.25.0
  nodeSelector:
    kubernetes.io/os: linux
  podMetadata:
    labels:
      app.kubernetes.io/component: prometheus
      app.kubernetes.io/name: prometheus
      app.kubernetes.io/part-of: kube-prometheus
      app.kubernetes.io/version: 2.25.0
  podMonitorNamespaceSelector: {}
  podMonitorSelector: {}
  probeNamespaceSelector: {}
  probeSelector: {}
  replicas: 2
  resources:
    requests:
      memory: 400Mi
  ruleSelector:
    matchLabels:
      prometheus: k8s
      role: alert-rules
  secrets:
  - etcd-certs 
  securityContext:
    fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 1000
  additionalScrapeConfigs:
     name: additional-configs
     key: prometheus-additional.yaml
  serviceAccountName: prometheus-k8s
  retention: 60d
  serviceMonitorNamespaceSelector: {}
  serviceMonitorSelector: {}
  version: 2.25.0
  storage:
    volumeClaimTemplate:
      spec:
        storageClassName: cbs-csi
        resources:
          requests:
            storage: 50Gi
EOF
 kubectl apply -f prometheus-prometheus.yaml

新建 grafana pvc

cat <<EOF > grafana-pv.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: grafana
  namespace: monitoring
spec:
  storageClassName: cbs-csi
  accessModes:
  - ReadWriteOnce
  resources:
 requests:
   storage: 20Gi
EOF
 kubectl apply -f grafana-pv.yaml

批改 manifests 目录下 grafana-deployment.yaml 存储

增加 etcd traefik 模板，import 模板号 10906 3070. 嗯会发现 traefik 模板会呈现 Panel plugin not found: grafana-piechart-panel.

解决办法：从新构建 grafana 镜像，/usr/share/grafana/bin/grafana-cli plugins install grafana-piechart-panel 装置缺失插件

将对应秘钥填入 alertmanager.yaml

 cat <<EOF > alertmanager.yaml    
    global:
      resolve_timeout: 2m
      wechat_api_url: 'https://qyapi.weixin.qq.com/cgi-bin/'
    route:
      group_by: ['alert']
      group_wait: 10s
      group_interval: 1m
      repeat_interval: 1h
      receiver: wechat
    receivers:
    - name: 'wechat'
      wechat_configs:
      - api_secret: 'XXXXXXXXXX'
        send_resolved: true
        to_user: '@all'
        to_party: 'XXXXXX'
        agent_id: 'XXXXXXXX'
        corp_id: 'XXXXXXXX'
    templates:
      - '/etc/config/alert/wechat.tmpl'
    inhibit_rules:
      - source_match:
          severity: 'critical'
        target_match:
          severity: 'warning'
        equal: ['alertname', 'production', 'instance']
EOF

cat <<EOF > wechat.tpl  
{{define "wechat.default.message"}}
{{- if gt (len .Alerts.Firing) 0 -}}
{{- range $index, $alert := .Alerts -}}
{{- if eq $index 0}}
========== 异样告警 ==========
告警类型: {{$alert.Labels.alertname}}
告警级别: {{$alert.Labels.severity}}
告警详情: {{$alert.Annotations.message}}{{$alert.Annotations.description}};{{$alert.Annotations.summary}}
故障工夫: {{($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
{{- if gt (len $alert.Labels.instance) 0 }}
实例信息: {{$alert.Labels.instance}}
{{- end}}
{{- if gt (len $alert.Labels.namespace) 0 }}
命名空间: {{$alert.Labels.namespace}}
{{- end}}
{{- if gt (len $alert.Labels.node) 0 }}
节点信息: {{$alert.Labels.node}}
{{- end}}
{{- if gt (len $alert.Labels.pod) 0 }}
实例名称: {{$alert.Labels.pod}}
{{- end}}
============END============
{{- end}}
{{- end}}
{{- end}}
{{- if gt (len .Alerts.Resolved) 0 -}}
{{- range $index, $alert := .Alerts -}}
{{- if eq $index 0}}
========== 异样复原 ==========
告警类型: {{$alert.Labels.alertname}}
告警级别: {{$alert.Labels.severity}}
告警详情: {{$alert.Annotations.message}}{{$alert.Annotations.description}};{{$alert.Annotations.summary}}
故障工夫: {{($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
复原工夫: {{($alert.EndsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
{{- if gt (len $alert.Labels.instance) 0 }}
实例信息: {{$alert.Labels.instance}}
{{- end}}
{{- if gt (len $alert.Labels.namespace) 0 }}
命名空间: {{$alert.Labels.namespace}}
{{- end}}
{{- if gt (len $alert.Labels.node) 0 }}
节点信息: {{$alert.Labels.node}}
{{- end}}
{{- if gt (len $alert.Labels.pod) 0 }}
实例名称: {{$alert.Labels.pod}}
{{- end}}
============END============
{{- end}}
{{- end}}
{{- end}}
{{- end}}
EOF

kubectl delete secret alertmanager-main -n monitoring
kubectl create secret generic alertmanager-main --from-file=alertmanager.yaml --from-file=wechat.tmpl -n monitoring

正好集体想试一下 kubernetes 的 HPA，

[root@sh-master-02 yaml]# kubectl top pods -n qa
W0330 16:00:54.657335 2622645 top_pod.go:265] Metrics not available for pod qa/dataloader-comment-5d975d9d57-p22w9, age: 2h3m13.657327145s
error: Metrics not available for pod qa/dataloader-comment-5d975d9d57-p22w9, age: 2h3m13.657327145s

what Prometheus oprator 不是有 metrics 吗？怎么回事

 kubectl logs -f prometheus-adapter-c96488cdd-vfm7h -n monitoring

如下图 …. 我装置 kubernete 时候批改了集群的 dnsDomain。没有批改配置文件，这样是有问题的

manifests 目录下批改 prometheus-adapter-deployment.yaml 中 Prometheus-url

而后 kubectl top nodes. 能够应用了

参照 https://blog.csdn.net/weixin_38320674/article/details/105460033。环境中有 metrics。从第七步骤开始

docker build -t ccr.ccs.tencentyun.com/XXXXX/test1:0.1 .
docker push  ccr.ccs.tencentyun.com/XXXXX/test1:0.1

cat php-apache.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: php-apache
spec:
  selector:
    matchLabels:
      run: php-apache
  replicas: 1
  template:
    metadata:
      labels:
        run: php-apache
    spec:
      containers:
      - name: php-apache
        image: ccr.ccs.tencentyun.com/XXXXX/test1:0.1
        ports:
        - containerPort: 80
        resources:
          limits:
            cpu: 200m
          requests:
            cpu: 100m

---

apiVersion: v1
kind: Service
metadata:
  name: php-apache
  labels:
    run: php-apache
spec:
  ports:
  - port: 80
  selector:
    run: php-apache

kubectl apply -f php-apache.yaml

kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10

上面是释意：

kubectl autoscale deployment php-apache（php-apache 示意 deployment 的名字）--cpu-percent=50（示意 cpu 使用率不超过 50%）--min=1（起码一个 pod）--max=10（最多 10 个 pod）

启动一个容器，并将有限查问循环发送到 php-apache 服务（复制 k8s 的 master 节点的终端，也就是关上一个新的终端窗口）：

kubectl run v1 -it --image=busybox /bin/sh

登录到容器之后，执行如下命令

while true; do wget -q -O- http://php-apache.default; done

这里只对 cpu 做了测试。简略 demo. 其余的单单讲了.

无意间把 pv,pvc 删除了 …. 认为我的 storageclass 有问题。而后重新部署吧？集体感觉部署一下 prometheus-prometheus.yaml 就好了，而后并没有呈现 Prometheus 的服务。瞄了一遍日志 7.1 整有了，从新执行下就好了，不记得本人具体哪里把这的 secret 搞掉了 …. 记录一下

kubectl create secret generic additional-configs --from-file=prometheus-additional.yaml -n monitoring

正文完

kubernetes

发表至： kubernetes

2021-07-06

0

关于kubernetes:Kubernetes-已经成为云原生时代的安卓这就够了吗

关于kubernetes:Kubernetes存储之PCPVC

万级K8s集群背后-etcd-稳定性及性能优化实践

关于kubernetes:kubernets-cfs

关于算法:1418菜谱

关于kubernetes:Kubernetes-1205-安装PrometheusOprator

背景

1. prometheus 环境的搭建

1. 克隆 prometheus-operator 仓库

2. 依照快捷方式来一遍

3. imagepullbackoff

1. 应用国外服务器下载镜像，并打包为 tar 包下载到本地。

2. ctr 导入镜像

3. 验证服务都失常启动

4. 应用 traefik 代理利用

5. 增加 kubeControllerManager kubeScheduler 监控

6. ECTD 的监控

7. prometheus 配置文件批改为正式

1. 增加主动发现配置

2. 减少存储保留工夫 etcd secret

8. grafana 增加存储

9. grafana 增加监控模板

10. 微信报警

1. 配置 alertmanager.yaml

2. 个性化配置报警模板，这个随便了网上有很多例子

3. 部署 secret

4. 验证

11. 彩蛋

12. 顺便讲一下 hpa

1. 打包上传到镜像库

2. 通过 deployment 部署一个 php-apache 服务

3. 创立 hpa

4. 压测 php-apache 服务，只是针对 CPU 做压测

13. 其余坑爹的

站内搜索

关于kubernetes:Kubernetes-1205-安装PrometheusOprator

背景

1. prometheus 环境的搭建

1. 克隆 prometheus-operator 仓库

2. 依照快捷方式来一遍

3. imagepullbackoff

1. 应用国外服务器下载镜像，并打包为 tar 包下载到本地。

2. ctr 导入镜像

3. 验证服务都失常启动

4. 应用 traefik 代理利用

5. 增加 kubeControllerManager kubeScheduler 监控

6. ECTD 的监控

7. prometheus 配置文件批改为正式

1. 增加主动发现配置

2. 减少存储 保留工夫 etcd secret

8. grafana 增加存储

9. grafana 增加监控模板

10. 微信报警

1. 配置 alertmanager.yaml

2. 个性化配置报警模板，这个随便了网上有很多例子

3. 部署 secret

4. 验证

11. 彩蛋

12. 顺便讲一下 hpa

1. 打包上传到镜像库

2. 通过 deployment 部署一个 php-apache 服务

3. 创立 hpa

4. 压测 php-apache 服务，只是针对 CPU 做压测

13. 其余坑爹的

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2. 减少存储保留工夫 etcd secret