Prometheus監控k8s企業級應用
阿新 • • 發佈：2020-08-17
Prometheus架構圖
常見的映象
| pod | 備註 |
|---|---|
| kube-state-metric | 用來收集K8S基本狀態資訊的監控代理 |
| node-exporter | 專門用來收集K8S運算節點基礎資訊，需要部署到所有運算節點 |
| cadivsor | 用來監控容器內部使用資源的重要工具 |
| blackbox-exporter | 用來幫助你探明你業務容器是否存活 |
新一代容器雲監控平臺P+G
| Exporters(可以自定義開發) | HTTP介面 定義監控薦和監控項的標籤(維度) 按一定的資料結構組織監控資料 以時間序列被收集 |
|---|---|
| Prometheus Server | Retriever(資料收集器) Configure (static_config、kubernetes_sd、file_sd) HTTP Server |
| Grafana | 多種多樣的外掛 資料來源(Prometheus) Dashboard(PromQL) |
| AlertManager | rules.yml(PromQL) |
1.部署kube-state-metric
kube-state-metric官方quay.io地址：https://quay.io/repository/coreos/kube-state-metrics?tab=info
在運維主機mfyxw50.mfyxw.com上執行
(1)下載kube-state-metric映象
[root@mfyxw50 ~]# docker pull quay.io/coreos/kube-state-metrics:v1.5.0 v1.5.0: Pulling from coreos/kube-state-metrics cd784148e348: Pull complete f622528a393e: Pull complete Digest: sha256:b7a3143bd1eb7130759c9259073b9f239d0eeda09f5210f1cd31f1a530599ea1 Status: Downloaded newer image for quay.io/coreos/kube-state-metrics:v1.5.0 quay.io/coreos/kube-state-metrics:v1.5.0
(2)打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep kube-state-*
quay.io/coreos/kube-state-metrics v1.5.0 91599517197a 18 months ago 31.8MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag quay.io/coreos/kube-state-metrics:v1.5.0 harbor.od.com/public/kube-state-metrics:v1.5.0
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/public/kube-state-metrics:v1.5.0
The push refers to repository [harbor.od.com/public/kube-state-metrics]
5b3c36501a0a: Pushed
7bff100f35cb: Pushed
v1.5.0: digest: sha256:16e9a1d63e80c19859fc1e2727ab7819f89aeae5f8ab5c3380860c2f88fe0a58 size: 739
(3)登入私有倉庫檢視public專案是否有kube-state-metrics
(4)建立存放kube-state-metric資源配置清單目錄
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/kube-state-metrics
(5)建立kube-state-metrics資源配置清單
-
rbrc.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/kube-state-metrics/rbrc.yaml << EOF apiVersion: v1 kind: ServiceAccount metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" name: kube-state-metrics namespace: kube-system --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" name: kube-state-metrics rules: - apiGroups: - "" resources: - configmaps - secrets - nodes - pods - services - resourcequotas - replicationcontrollers - limitranges - persistentvolumeclaims - persistentvolumes - namespaces - endpoints verbs: - list - watch - apiGroups: - policy resources: - poddisruptionbudgets verbs: - list - watch - apiGroups: - extensions resources: - daemonsets - deployments - replicasets verbs: - list - watch - apiGroups: - apps resources: - statefulsets verbs: - list - watch - apiGroups: - batch resources: - cronjobs - jobs verbs: - list - watch - apiGroups: - autoscaling resources: - horizontalpodautoscalers verbs: - list - watch --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" 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 -
deployment.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/kube-state-metrics/deployment.yaml << EOF apiVersion: extensions/v1beta1 kind: Deployment metadata: annotations: deployment.kubernetes.io/revision: "2" labels: grafanak8sapp: "true" app: kube-state-metrics name: kube-state-metrics namespace: kube-system spec: selector: matchLabels: grafanak8sapp: "true" app: kube-state-metrics strategy: rollingUpdate: maxSurge: 25% maxUnavailable: 25% type: RollingUpdate template: metadata: labels: grafanak8sapp: "true" app: kube-state-metrics spec: containers: - name: kube-state-metrics image: harbor.od.com/public/kube-state-metrics:v1.5.0 imagePullPolicy: IfNotPresent ports: - containerPort: 8080 name: http-metrics protocol: TCP readinessProbe: failureThreshold: 3 httpGet: path: /healthz port: 8080 scheme: HTTP initialDelaySeconds: 5 periodSeconds: 10 successThreshold: 1 timeoutSeconds: 5 serviceAccountName: kube-state-metrics EOF
(6)應用kube-state-metric資源配置清單
在master節點(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一節點上執行
[root@mfyxw30 ~]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coredns-58f8966f84-zrtj9 1/1 Running 31 59d
heapster-b5b9f794-f76bw 1/1 Running 31 59d
kubernetes-dashboard-67989c548-c9w6m 1/1 Running 33 59d
traefik-ingress-mdvsl 1/1 Running 30 59d
traefik-ingress-pk84z 1/1 Running 35 59d
[root@mfyxw30 ~]#
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/kube-state-metrics/rbrc.yaml
serviceaccount/kube-state-metrics created
clusterrole.rbac.authorization.k8s.io/kube-state-metrics created
clusterrolebinding.rbac.authorization.k8s.io/kube-state-metrics created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/kube-state-metrics/deployment.yaml
deployment.extensions/kube-state-metrics created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl get pod -n kube-system |grep kube-state-metrics
NAME READY STATUS RESTARTS AGE
kube-state-metrics-6bc5758866-qrpbd 1/1 Running 0 3s
(7)檢視kube-state-metrics健康資訊
[root@mfyxw30 ~]# kubectl get pod -n kube-system -o wide | grep kube-state-metrics
kube-state-metrics-6bc5758866-qrpbd 1/1 Running 2 147m 10.10.30.14 mfyxw30.mfyxw.com <none> <none>
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# curl 10.10.30.14:8080/healthz
ok[root@mfyxw30 ~]#
2.部署node-exporter
node-exporter官方github倉庫地址：https://github.com/prometheus/node_exporter
node-exporter官方dockerhub地址：https://hub.docker.com/r/prom/node-exporter/
在運維主機mfyxw50.mfyxw.com操作
(1)下載node-exporter映象
[root@mfyxw50 ~]# docker pull prom/node-exporter:v0.15.0
v0.15.0: Pulling from prom/node-exporter
Image docker.io/prom/node-exporter:v0.15.0 uses outdated schema1 manifest format. Please upgrade to a schema2 image for better future compatibility. More information at https://docs.docker.com/registry/spec/deprecated-schema-v1/
aa3e9481fcae: Pull complete
a3ed95caeb02: Pull complete
afc308b02dc6: Pull complete
4cafbffc9d4f: Pull complete
Digest: sha256:a59d1f22610da43490532d5398b3911c90bfa915951d3b3e5c12d3c0bf8771c3
Status: Downloaded newer image for prom/node-exporter:v0.15.0
docker.io/prom/node-exporter:v0.15.0
(2)打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep node-exporter
prom/node-exporter v0.15.0 12d51ffa2b22 2 years ago 22.8MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag prom/node-exporter:v0.15.0 harbor.od.com/public/node-exporter:v0.15.0
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/public/node-exporter:v0.15.0
The push refers to repository [harbor.od.com/public/node-exporter]
5f70bf18a086: Mounted from public/pause
1c7f6350717e: Pushed
a349adf62fe1: Pushed
c7300f623e77: Pushed
v0.15.0: digest: sha256:57d9b335b593e4d0da1477d7c5c05f23d9c3dc6023b3e733deb627076d4596ed size: 1979
(3)登入私有倉庫檢視public專案是否有node-exporter
(4)建立存放node-exporter資源配置清單目錄
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/node-exporter
(5)建立node-exporter資源配置清單
-
daemonset.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/node-exporter/daemonset.yaml << EOF kind: DaemonSet apiVersion: extensions/v1beta1 metadata: name: node-exporter namespace: kube-system labels: daemon: "node-exporter" grafanak8sapp: "true" spec: selector: matchLabels: daemon: "node-exporter" grafanak8sapp: "true" template: metadata: name: node-exporter labels: daemon: "node-exporter" grafanak8sapp: "true" spec: volumes: - name: proc hostPath: path: /proc type: "" - name: sys hostPath: path: /sys type: "" containers: - name: node-exporter image: harbor.od.com/public/node-exporter:v0.15.0 imagePullPolicy: IfNotPresent args: - --path.procfs=/host_proc - --path.sysfs=/host_sys ports: - name: node-exporter hostPort: 9100 containerPort: 9100 protocol: TCP volumeMounts: - name: sys readOnly: true mountPath: /host_sys - name: proc readOnly: true mountPath: /host_proc hostNetwork: true EOF
(6)應用node-exporter資源配置清單
在master節點(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一節點上執行
[root@mfyxw30 ~]# kubectl get daemonset -n kube-system
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
traefik-ingress 2 2 2 2 2 <none> 60d
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/node-exporter/daemonset.yaml
daemonset.extensions/node-exporter created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl get daemonset -n kube-system
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
node-exporter 2 2 2 2 2 <none> 3s
traefik-ingress 2 2 2 2 2 <none> 60d
(7)檢視到node-exporter的IP地址訪問metrics
[root@mfyxw30 ~]# kubectl get pod -n kube-system -o wide | grep node-exporter
node-exporter-8s97p 1/1 Running 0 3h20m 192.168.80.40 mfyxw40.mfyxw.com <none> <none>
node-exporter-p47k7 1/1 Running 0 3h20m 192.168.80.30 mfyxw30.mfyxw.com <none> <none>
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# curl 192.168.80.40:9100/metrics
3.部署cadvisor
cadvisor官方dockerhub連結：https://hub.docker.com/r/google/cadvisor/
cadvisor官方github連結：https://github.com/google/cadvisor
(1)下載cadvisor映象
[root@mfyxw50 ~]# docker pull google/cadvisor:v0.28.3
v0.28.3: Pulling from google/cadvisor
ab7e51e37a18: Pull complete
a2dc2f1bce51: Pull complete
3b017de60d4f: Pull complete
Digest: sha256:9e347affc725efd3bfe95aa69362cf833aa810f84e6cb9eed1cb65c35216632a
Status: Downloaded newer image for google/cadvisor:v0.28.3
docker.io/google/cadvisor:v0.28.3
(2)打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep cadvisor
google/cadvisor v0.28.3 75f88e3ec333 2 years ago 62.2MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag google/cadvisor:v0.28.3 harbor.od.com/public/cadvisor:v0.28.3
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/public/cadvisor:v0.28.3
The push refers to repository [harbor.od.com/public/cadvisor]
f60e27acaccf: Pushed
f04a25da66bf: Pushed
52a5560f4ca0: Pushed
v0.28.3: digest: sha256:34d9d683086d7f3b9bbdab0d1df4518b230448896fa823f7a6cf75f66d64ebe1 size: 951
(3)登入私有倉庫檢視public專案是否有cadvisor
(4)建立存放cadvisor資源配置清單目錄
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/cadvisor
(5)建立cadvisor資源配置清單
-
daemonset.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/cadvisor/daemonset.yaml << EOF apiVersion: apps/v1 kind: DaemonSet metadata: name: cadvisor namespace: kube-system labels: app: cadvisor spec: selector: matchLabels: name: cadvisor template: metadata: labels: name: cadvisor spec: hostNetwork: true tolerations: - key: node-role.kubernetes.io/master effect: NoSchedule containers: - name: cadvisor image: harbor.od.com/public/cadvisor:v0.28.3 imagePullPolicy: IfNotPresent volumeMounts: - name: rootfs mountPath: /rootfs readOnly: true - name: var-run mountPath: /var/run - name: sys mountPath: /sys readOnly: true - name: docker mountPath: /var/lib/docker readOnly: true ports: - name: http containerPort: 4194 protocol: TCP readinessProbe: tcpSocket: port: 4194 initialDelaySeconds: 5 periodSeconds: 10 args: - --housekeeping_interval=10s - --port=4194 terminationGracePeriodSeconds: 30 volumes: - name: rootfs hostPath: path: / - name: var-run hostPath: path: /var/run - name: sys hostPath: path: /sys - name: docker hostPath: path: /data/docker EOF
(6)修改運算節點軟連線
所有的運算節點都需要修改
[root@mfyxw30 ~]# mount -o remount,rw /sys/fs/cgroup/
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# ll /sys/fs/cgroup/ | grep cpu
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpu -> cpu,cpuacct
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpuacct -> cpu,cpuacct
dr-xr-xr-x 7 root root 0 Jul 14 02:48 cpu,cpuacct
dr-xr-xr-x 5 root root 0 Jul 14 02:48 cpuset
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# ln -s /sys/fs/cgroup/cpu,cpuacct /sys/fs/cgroup/cpuacct,cpu
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# ll /sys/fs/cgroup/ | grep cpu
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpu -> cpu,cpuacct
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpuacct -> cpu,cpuacct
lrwxrwxrwx 1 root root 27 Jul 14 03:48 cpuacct,cpu -> /sys/fs/cgroup/cpu,cpuacct/
dr-xr-xr-x 7 root root 0 Jul 14 03:47 cpu,cpuacct
dr-xr-xr-x 5 root root 0 Jul 14 03:47 cpuset
[root@mfyxw40 ~]# mount -o remount,rw /sys/fs/cgroup/
[root@mfyxw40 ~]#
[root@mfyxw40 ~]# ll /sys/fs/cgroup/ | grep cpu
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpu -> cpu,cpuacct
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpuacct -> cpu,cpuacct
dr-xr-xr-x 7 root root 0 Jul 14 02:48 cpu,cpuacct
dr-xr-xr-x 5 root root 0 Jul 14 02:48 cpuset
[root@mfyxw40 ~]#
[root@mfyxw40 ~]# ln -s /sys/fs/cgroup/cpu,cpuacct /sys/fs/cgroup/cpuacct,cpu
[root@mfyxw40 ~]#
[root@mfyxw40 ~]# ll /sys/fs/cgroup/ | grep cpu
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpu -> cpu,cpuacct
lrwxrwxrwx 1 root root 11 Jul 14 02:48 cpuacct -> cpu,cpuacct
lrwxrwxrwx 1 root root 27 Jul 14 03:48 cpuacct,cpu -> /sys/fs/cgroup/cpu,cpuacct/
dr-xr-xr-x 7 root root 0 Jul 14 03:47 cpu,cpuacct
dr-xr-xr-x 5 root root 0 Jul 14 03:47 cpuset
(7)應用cadvisor資源配置清單
在master節點(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一節點上執行
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl get daemonset -n kube-system
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
node-exporter 2 2 2 2 2 <none> 22m
traefik-ingress 2 2 2 2 2 <none> 60d
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/cadvisor/daemonset.yaml
daemonset.apps/cadvisor created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl get daemonset -n kube-system
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
cadvisor 2 2 2 2 2 <none> 13s
node-exporter 2 2 2 2 2 <none> 113m
traefik-ingress 2 2 2 2 2 <none> 61d
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# netstat -luntp | grep 4194
tcp6 0 0 :::4194 :::* LISTEN 12649/cadvisor
(8)檢視到cadvisor的IP地址並訪問metrics
[root@mfyxw30 ~]# kubectl get pod -n kube-system -o wide | grep cadvisor
cadvisor-rs8rt 1/1 Running 0 148m 192.168.80.40 mfyxw40.mfyxw.com <none> <none>
cadvisor-v9jh4 1/1 Running 0 148m 192.168.80.30 mfyxw30.mfyxw.com <none> <none>
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# curl 192.168.80.40:4194/metrics
4.部署blackbox-exporter
blackbox-exporter官方dockerhub連結：https://hub.docker.com/r/prom/blackbox-exporter/
blackbox-exporter官方github連結：https://github.com/prometheus/blackbox_exporter
在運維主機mfyxw50.mfyxw.com上執行
(1)下載blackbox-exporter映象
[root@mfyxw50 ~]# docker pull prom/blackbox-exporter:v0.15.1
v0.15.1: Pulling from prom/blackbox-exporter
697743189b6d: Pull complete
f1989cfd335b: Pull complete
8918f7b8f34f: Pull complete
a128dce6256a: Pull complete
Digest: sha256:c20445e0cc628fa4b227fe2f694c22a314beb43fd8297095b6ee6cbc67161336
Status: Downloaded newer image for prom/blackbox-exporter:v0.15.1
docker.io/prom/blackbox-exporter:v0.15.1
(2)打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep blackbox-exporter
prom/blackbox-exporter v0.15.1 d3a00aea3a01 16 months ago 17.6MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag prom/blackbox-exporter:v0.15.1 harbor.od.com/public/blackbox-exporter:v0.15.1
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/public/blackbox-exporter:v0.15.1
The push refers to repository [harbor.od.com/public/blackbox-exporter]
256c4aa8ebe5: Pushed
4b6cc55de649: Pushed
986894c42222: Pushed
adab5d09ba79: Pushed
v0.15.1: digest: sha256:c20445e0cc628fa4b227fe2f694c22a314beb43fd8297095b6ee6cbc67161336 size: 1155
(3)登入私有倉庫檢視public專案是否有blackbox-exporter
(4)建立存放blackbox-exporter資源配置清單目錄
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/blackbox-exporter
(5)建立blackbox-exporter資源配置清單
-
configmap.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/blackbox-exporter/configmap.yaml << EOF apiVersion: v1 kind: ConfigMap metadata: labels: app: blackbox-exporter name: blackbox-exporter namespace: kube-system data: blackbox.yml: |- modules: http_2xx: prober: http timeout: 2s http: valid_http_versions: ["HTTP/1.1", "HTTP/2"] valid_status_codes: [200,301,302] method: GET preferred_ip_protocol: "ip4" tcp_connect: prober: tcp timeout: 2s EOF -
deployment.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/blackbox-exporter/deployment.yaml << EOF kind: Deployment apiVersion: extensions/v1beta1 metadata: name: blackbox-exporter namespace: kube-system labels: app: blackbox-exporter annotations: deployment.kubernetes.io/revision: 1 spec: replicas: 1 selector: matchLabels: app: blackbox-exporter template: metadata: labels: app: blackbox-exporter spec: volumes: - name: config configMap: name: blackbox-exporter defaultMode: 420 containers: - name: blackbox-exporter image: harbor.od.com/public/blackbox-exporter:v0.15.1 imagePullPolicy: IfNotPresent args: - --config.file=/etc/blackbox_exporter/blackbox.yml - --log.level=info - --web.listen-address=:9115 ports: - name: blackbox-port containerPort: 9115 protocol: TCP resources: limits: cpu: 200m memory: 256Mi requests: cpu: 100m memory: 50Mi volumeMounts: - name: config mountPath: /etc/blackbox_exporter readinessProbe: tcpSocket: port: 9115 initialDelaySeconds: 5 timeoutSeconds: 5 periodSeconds: 10 successThreshold: 1 failureThreshold: 3 EOF -
service.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/blackbox-exporter/service.yaml << EOF kind: Service apiVersion: v1 metadata: name: blackbox-exporter namespace: kube-system spec: selector: app: blackbox-exporter ports: - name: blackbox-port protocol: TCP port: 9115 EOF -
Ingress.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/blackbox-exporter/Ingress.yaml << EOF apiVersion: extensions/v1beta1 kind: Ingress metadata: name: blackbox-exporter namespace: kube-system spec: rules: - host: blackbox.od.com http: paths: - path: / backend: serviceName: blackbox-exporter servicePort: 9115 EOF
(6)解析域名並測試域名
在mfyxw10.mfyxw.com主機上操作
-
配置域名解析
[root@mfyxw10 ~]# cat > /var/named/od.com.zone << EOF \$ORIGIN od.com. \$TTL 600 ; 10 minutes @ IN SOA dns.od.com. dnsadmin.od.com. ( ;序號請加1，表示比之前版本要新 2020031314 ; serial 10800 ; refresh (3 hours) 900 ; retry (15 minutes) 604800 ; expire (1 week) 86400 ; minimum (1 day) ) NS dns.od.com. \$TTL 60 ; 1 minute dns A 192.168.80.10 harbor A 192.168.80.50 ;新增harbor記錄 k8s-yaml A 192.168.80.50 traefik A 192.168.80.100 dashboard A 192.168.80.100 zk1 A 192.168.80.10 zk2 A 192.168.80.20 zk3 A 192.168.80.30 jenkins A 192.168.80.100 dubbo-monitor A 192.168.80.100 demo A 192.168.80.100 mysql A 192.168.80.10 config A 192.168.80.100 portal A 192.168.80.100 zk-test A 192.168.80.10 zk-prod A 192.168.80.20 config-test A 192.168.80.100 config-prod A 192.168.80.100 demo-test A 192.168.80.100 demo-prod A 192.168.80.100 blackbox A 192.168.80.100 EOF -
重啟DNS服務
[root@mfyxw10 ~]# systemctl restart named -
測試域名解析
[root@mfyxw10 ~]# dig -t A blackbox.od.com @192.168.80.10 +short 192.168.80.100
(7)應用blackbox-exporter資源配置清單
在master節點(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一節點上執行
[root@mfyxw30 ~]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
cadvisor-lcr8b 1/1 Running 0 32m
cadvisor-tw4sz 1/1 Running 0 32m
coredns-58f8966f84-zrtj9 1/1 Running 32 59d
heapster-b5b9f794-f76bw 1/1 Running 32 59d
kube-state-metrics-6bc5758866-qrpbd 1/1 Running 2 171m
kubernetes-dashboard-67989c548-c9w6m 1/1 Running 35 59d
node-exporter-4mp5l 1/1 Running 1 146m
node-exporter-qj6hq 1/1 Running 1 146m
traefik-ingress-mdvsl 1/1 Running 31 59d
traefik-ingress-pk84z 1/1 Running 36 59d
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/blackbox-exporter/configmap.yaml
configmap/blackbox-exporter created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/blackbox-exporter/deployment.yaml
deployment.extensions/blackbox-exporter created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/blackbox-exporter/service.yaml
service/blackbox-exporter created
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/blackbox-exporter/Ingress.yaml
ingress.extensions/blackbox-exporter created
[root@mfyxw30 ~]# kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
blackbox-exporter-6dbf8cdfbb-fnmtg 1/1 Running 0 83s
cadvisor-lcr8b 1/1 Running 0 36m
cadvisor-tw4sz 1/1 Running 0 36m
coredns-58f8966f84-zrtj9 1/1 Running 32 59d
heapster-b5b9f794-f76bw 1/1 Running 32 59d
kube-state-metrics-6bc5758866-qrpbd 1/1 Running 2 175m
kubernetes-dashboard-67989c548-c9w6m 1/1 Running 35 59d
node-exporter-4mp5l 1/1 Running 1 150m
node-exporter-qj6hq 1/1 Running 1 150m
traefik-ingress-mdvsl 1/1 Running 31 59d
traefik-ingress-pk84z 1/1 Running 36 59d
(8)訪問域名
5.部署prometheus
prometheus官方dockerhub連結：https://hub.docker.com/r/prom/prometheus
prometheus官方github連結：https://github.com/prometheus/prometheus
在運維主機mfyxw50.mfyxw.com執行
(1)下載prometheus映象
[root@mfyxw50 ~]# docker pull prom/prometheus:v2.14.0
v2.14.0: Pulling from prom/prometheus
8e674ad76dce: Already exists
e77d2419d1c2: Already exists
8674123643f1: Pull complete
21ee3b79b17a: Pull complete
d9073bbe10c3: Pull complete
585b5cbc27c1: Pull complete
0b174c1d55cf: Pull complete
a1b4e43b91a7: Pull complete
31ccb7962a7c: Pull complete
e247e238102a: Pull complete
6798557a5ee4: Pull complete
cbfcb065e0ae: Pull complete
Digest: sha256:907e20b3b0f8b0a76a33c088fe9827e8edc180e874bd2173c27089eade63d8b8
Status: Downloaded newer image for prom/prometheus:v2.14.0
docker.io/prom/prometheus:v2.14.0
(2)打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep prometheus
prom/prometheus v2.14.0 7317640d555e 8 months ago 130MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag prom/prometheus:v2.14.0 harbor.od.com/infra/prometheus:v2.14.0
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/infra/prometheus:v2.14.0
The push refers to repository [harbor.od.com/infra/prometheus]
fca78fb26e9b: Pushed
ccf6f2fbceef: Pushed
eb6f7e00328c: Pushed
5da914e0fc1b: Pushed
b202797fdad0: Pushed
39dc7810e736: Pushed
8a9fe881edcd: Pushed
5dd8539686e4: Pushed
5c8b7d3229bc: Pushed
062d51f001d9: Pushed
3163e6173fcc: Mounted from public/blackbox-exporter
6194458b07fc: Mounted from public/blackbox-exporter
v2.14.0: digest: sha256:3d53ce329b25cc0c1bfc4c03be0496022d81335942e9e0518ded6d50a5e6c638 size: 2824
(3)登入私有倉庫檢視infra專案是否有prometheus
(4)建立目錄
-
建立儲存prometheus資源配置清單目錄
[root@mfyxw50 ~]# mkdir /data/k8s-yaml/prometheus -
建立持久化資料目錄
[root@mfyxw50 ~]# mkdir /data/nfs-volume/prometheus
(5)建立prometheus資源配置清單
-
rbrc.yaml檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/prometheus/rbrc.yaml << EOF apiVersion: v1 kind: ServiceAccount metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" name: prometheus namespace: infra --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" name: prometheus rules: - apiGroups: - "" resources: - nodes - nodes/metrics - services - endpoints - pods verbs: - get - list - watch - apiGroups: - "" resources: - configmaps verbs: - get - nonResourceURLs: - /metrics verbs: - get --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: labels: addonmanager.kubernetes.io/mode: Reconcile kubernetes.io/cluster-service: "true" name: prometheus roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: prometheus subjects: - kind: ServiceAccount name: prometheus namespace: infra EOF -
deployment檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/prometheus/deployment.yaml << EOF apiVersion: extensions/v1beta1 kind: Deployment metadata: annotations: deployment.kubernetes.io/revision: "5" labels: name: prometheus name: prometheus namespace: infra spec: progressDeadlineSeconds: 600 replicas: 1 revisionHistoryLimit: 7 selector: matchLabels: app: prometheus strategy: rollingUpdate: maxSurge: 1 maxUnavailable: 1 type: RollingUpdate template: metadata: labels: app: prometheus spec: nodeName: mfyxw30.mfyxw.com containers: - name: prometheus image: harbor.od.com/infra/prometheus:v2.14.0 imagePullPolicy: IfNotPresent command: - /bin/prometheus args: - --config.file=/data/etc/prometheus.yml - --storage.tsdb.path=/data/prom-db - --storage.tsdb.min-block-duration=10m - --storage.tsdb.retention=72h ports: - containerPort: 9090 protocol: TCP volumeMounts: - mountPath: /data name: data resources: requests: cpu: "1000m" memory: "1.5Gi" limits: cpu: "2000m" memory: "3Gi" imagePullSecrets: - name: harbor securityContext: runAsUser: 0 serviceAccountName: prometheus volumes: - name: data nfs: server: mfyxw50.mfyxw.com path: /data/nfs-volume/prometheus EOF -
service檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/prometheus/service.yaml << EOF apiVersion: v1 kind: Service metadata: name: prometheus namespace: infra spec: ports: - port: 9090 protocol: TCP targetPort: 9090 selector: app: prometheus EOF -
Ingress檔案內容
[root@mfyxw50 ~]# cat > /data/k8s-yaml/prometheus/Ingress.yaml << EOF apiVersion: extensions/v1beta1 kind: Ingress metadata: annotations: kubernetes.io/ingress.class: traefik name: prometheus namespace: infra spec: rules: - host: prometheus.od.com http: paths: - path: / backend: serviceName: prometheus servicePort: 9090 EOF
(6)準備prometheus的配置檔案
-
建立目錄
[root@mfyxw50 ~]# mkdir -p /data/nfs-volume/prometheus/{etc,prom-db} -
拷貝證書
[root@mfyxw50 ~]# cp /opt/certs/ca.pem /data/nfs-volume/prometheus/etc/ [root@mfyxw50 ~]# cp /opt/certs/client.pem /data/nfs-volume/prometheus/etc/ [root@mfyxw50 ~]# cp /opt/certs/client-key.pem /data/nfs-volume/prometheus/etc/ -
建立prometheus.yml配置檔案
[root@mfyxw50 ~]# cat > /data/nfs-volume/prometheus/etc/prometheus.yml << EOF global: scrape_interval: 15s evaluation_interval: 15s scrape_configs: - job_name: 'etcd' tls_config: ca_file: /data/etc/ca.pem cert_file: /data/etc/client.pem key_file: /data/etc/client-key.pem scheme: https static_configs: - targets: - '192.168.80.20:2379' - '192.168.80.30:2379' - '192.168.80.40:2379' - job_name: 'kubernetes-apiservers' 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 - job_name: 'kubernetes-pods' kubernetes_sd_configs: - role: pod relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape] action: keep regex: true - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path] action: replace target_label: __metrics_path__ regex: (.+) - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port] action: replace regex: ([^:]+)(?::\d+)?;(\d+) replacement: \$1:\$2 target_label: __address__ - action: labelmap regex: __meta_kubernetes_pod_label_(.+) - source_labels: [__meta_kubernetes_namespace] action: replace target_label: kubernetes_namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: kubernetes_pod_name - job_name: 'kubernetes-kubelet' kubernetes_sd_configs: - role: node relabel_configs: - action: labelmap regex: __meta_kubernetes_node_label_(.+) - source_labels: [__meta_kubernetes_node_name] regex: (.+) target_label: __address__ replacement: \${1}:10255 - job_name: 'kubernetes-cadvisor' kubernetes_sd_configs: - role: node relabel_configs: - action: labelmap regex: __meta_kubernetes_node_label_(.+) - source_labels: [__meta_kubernetes_node_name] regex: (.+) target_label: __address__ replacement: \${1}:4194 - job_name: 'kubernetes-kube-state' kubernetes_sd_configs: - role: pod relabel_configs: - action: labelmap regex: __meta_kubernetes_pod_label_(.+) - source_labels: [__meta_kubernetes_namespace] action: replace target_label: kubernetes_namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: kubernetes_pod_name - source_labels: [__meta_kubernetes_pod_label_grafanak8sapp] regex: .*true.* action: keep - source_labels: ['__meta_kubernetes_pod_label_daemon', '__meta_kubernetes_pod_node_name'] regex: 'node-exporter;(.*)' action: replace target_label: nodename - job_name: 'blackbox_http_pod_probe' metrics_path: /probe kubernetes_sd_configs: - role: pod params: module: [http_2xx] relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_blackbox_scheme] action: keep regex: http - source_labels: [__address__, __meta_kubernetes_pod_annotation_blackbox_port, __meta_kubernetes_pod_annotation_blackbox_path] action: replace regex: ([^:]+)(?::\d+)?;(\d+);(.+) replacement: \$1:\$2\$3 target_label: __param_target - action: replace target_label: __address__ replacement: blackbox-exporter.kube-system:9115 - source_labels: [__param_target] target_label: instance - action: labelmap regex: __meta_kubernetes_pod_label_(.+) - source_labels: [__meta_kubernetes_namespace] action: replace target_label: kubernetes_namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: kubernetes_pod_name - job_name: 'blackbox_tcp_pod_probe' metrics_path: /probe kubernetes_sd_configs: - role: pod params: module: [tcp_connect] relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_blackbox_scheme] action: keep regex: tcp - source_labels: [__address__, __meta_kubernetes_pod_annotation_blackbox_port] action: replace regex: ([^:]+)(?::\d+)?;(\d+) replacement: \$1:\$2 target_label: __param_target - action: replace target_label: __address__ replacement: blackbox-exporter.kube-system:9115 - source_labels: [__param_target] target_label: instance - action: labelmap regex: __meta_kubernetes_pod_label_(.+) - source_labels: [__meta_kubernetes_namespace] action: replace target_label: kubernetes_namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: kubernetes_pod_name - job_name: 'traefik' kubernetes_sd_configs: - role: pod relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scheme] action: keep regex: traefik - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path] action: replace target_label: __metrics_path__ regex: (.+) - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port] action: replace regex: ([^:]+)(?::\d+)?;(\d+) replacement: \$1:\$2 target_label: __address__ - action: labelmap regex: __meta_kubernetes_pod_label_(.+) - source_labels: [__meta_kubernetes_namespace] action: replace target_label: kubernetes_namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: kubernetes_pod_name EOF
(7)應用prometheus資源配置清單
在master節點(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一節點上執行
-
由於資源的限制，先檢視一下jenkins在哪臺運算節點上執行，建議與jenkins節點錯開不同的運算節點，畢竟promethus比較耗記憶體資源，故一般在實際生產環境上都建議單獨使用一臺運算節點來執行prometheus，建議在此節點上打上汙點，讓其它的pod無法排程此運算節點，在此實現的環境中，就不做汙點處理，但是，在prometheus的deployment.yaml檔案，使用了nodeName來指定prometheus執行在哪個運算節點。實際環境建議將nodeName刪除
[root@mfyxw30 ~]# kubectl get pod -n infra -o wide | grep jenkins jenkins-b99776c69-49dnr 1/1 Running 7 7d3h 10.10.40.5 mfyxw40.mfyxw.com <none> <none> [root@mfyxw30 ~]# -
應用資源配置清單
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/prometheus/rbrc.yaml serviceaccount/prometheus created clusterrole.rbac.authorization.k8s.io/prometheus created clusterrolebinding.rbac.authorization.k8s.io/prometheus created [root@mfyxw30 ~]# [root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/prometheus/deployment.yaml deployment.extensions/prometheus created [root@mfyxw30 ~]# [root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/prometheus/service.yaml service/prometheus created [root@mfyxw30 ~]# [root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/prometheus/Ingress.yaml ingress.extensions/prometheus created
(8)解析域名並測試域名解析
在mfyxw10.mfyxw.com主機上操作
-
解析域名
[root@mfyxw10 ~]# cat > /var/named/od.com.zone << EOF \$ORIGIN od.com. \$TTL 600 ; 10 minutes @ IN SOA dns.od.com. dnsadmin.od.com. ( ;序號請加1，表示比之前版本要新 2020031315 ; serial 10800 ; refresh (3 hours) 900 ; retry (15 minutes) 604800 ; expire (1 week) 86400 ; minimum (1 day) ) NS dns.od.com. \$TTL 60 ; 1 minute dns A 192.168.80.10 harbor A 192.168.80.50 ;新增harbor記錄 k8s-yaml A 192.168.80.50 traefik A 192.168.80.100 dashboard A 192.168.80.100 zk1 A 192.168.80.10 zk2 A 192.168.80.20 zk3 A 192.168.80.30 jenkins A 192.168.80.100 dubbo-monitor A 192.168.80.100 demo A 192.168.80.100 mysql A 192.168.80.10 config A 192.168.80.100 portal A 192.168.80.100 zk-test A 192.168.80.10 zk-prod A 192.168.80.20 config-test A 192.168.80.100 config-prod A 192.168.80.100 demo-test A 192.168.80.100 demo-prod A 192.168.80.100 blackbox A 192.168.80.100 prometheus A 192.168.80.100 EOF -
重啟DNS服務
[root@mfyxw10 ~]# systemctl restart named -
測試域名解析
[root@mfyxw10 ~]# dig -t A prometheus.od.com @192.168.80.10 +short 192.168.80.100
(9)訪問prometheus域名
6.配置prometheus監控業務容器
在promethus中的Targets中，可以看到，blackbox_http，blackbox_tcp，kubernetes-pods，traefik都沒有監控物件，故下面針對此來做監控
(1)監控traefik
通過在promethus的Configuration的配置檔案中可以看到，需要監控traefik的物件，則在pod的yaml檔案中新增annotations即可
修改原traefik的DaemonSet.yaml檔案，新增annotations
annotations:
prometheus_io_scheme: traefik
prometheus_io_path: /metrics
prometheus_io_port: "8080"
在運維主機(mfyxw50.mfyxw.com)上執行操作
對DaemonSet.yaml修改，檔案內容如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/traefik/DaemonSet.yaml << EOF
apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
name: traefik-ingress
namespace: kube-system
labels:
k8s-app: traefik-ingress
spec:
template:
metadata:
labels:
k8s-app: traefik-ingress
name: traefik-ingress
annotations:
prometheus_io_scheme: traefik
prometheus_io_path: /metrics
prometheus_io_port: "8080"
spec:
serviceAccountName: traefik-ingress-controller
terminationGracePeriodSeconds: 60
containers:
- image: harbor.od.com/public/traefik:v1.7.2
name: traefik-ingress
ports:
- name: controller
containerPort: 80
hostPort: 81
- name: admin-web
containerPort: 8080
securityContext:
capabilities:
drop:
- ALL
add:
- NET_BIND_SERVICE
args:
- --api
- --kubernetes
- --logLevel=INFO
- --insecureskipverify=true
- --kubernetes.endpoint=https://192.168.80.100:7443
- --accesslog
- --accesslog.filepath=/var/log/traefik_access.log
- --traefiklog
- --traefiklog.filepath=/var/log/traefik.log
- --metrics.prometheus
EOF
刪除原來的traefik的pod
在mfyxw30.mfyxw.com主機上執行如下操作
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/traefik/DaemonSet.yaml
daemonset.extensions "traefik-ingress" deleted
重新執行修改後的DaemonSet.yaml檔案
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/traefik/DaemonSet.yaml
daemonset.extensions/traefik-ingress created
再次登入promethus，在Targets檢視traefik是否已經監控到
(2)blackbox：監控tcp服務是否存活
blackbox_tcp_pod_probe：監控tcp協議服務是否存活，此處就以dubbo提供者(dubbo-demo-service)做演示
只需要在template.metadata下新增annotations即可
annotations:
blackbox_port: "20880"
blackbox_scheme: tcp
對dubbo-demo-service的deployment.yaml檔案修改如下
[root@mfyxw50 ~]# cat > /data/k8s-yaml/dubbo-demo-service/deployment.yaml << EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-service
namespace: app
labels:
name: dubbo-demo-service
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-service
template:
metadata:
labels:
app: dubbo-demo-service
name: dubbo-demo-service
annotations:
blackbox_port: "20880"
blackbox_scheme: tcp
spec:
containers:
- name: dubbo-demo-service
image: harbor.od.com/app/dubbo-demo-service:master_20200613_1929
ports:
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-server.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
在master節點(mfyxw30或mfyxw40其任意一臺執行如下命令)
先將之前執行的dubbo-demo-service的pod刪除，再重新生成
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-service/deployment.yaml
deployment.extensions "dubbo-demo-service" deleted
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/dubbo-demo-service/deployment.yaml
deployment.extensions/dubbo-demo-service created
再次登入promethus，在Targets檢視blackbox_tcp_pod_probe是否已經監控到
(3)blackbox：監控http服務是否存活
blackbox_http_pod_probe：監控http協議服務是否存活，此處就以dubbo消費者(dubbo-demo-consumer)做演示
只需要在template.metadata下新增annotations即可
annotations:
blackbox_path: /
blackbox_port: "8080"
blackbox_scheme: http
因dubbo-demo-consumer的根目錄下沒有內容,如不做修改直接使用/，會一直報錯(Failure)
故將/修改為/hello?name=health
修改後的dubbo-demo-consumer的deployment.yaml檔案內容如下：（先使用/來做測試，看看會報什麼錯，再修改為/hello?name=health）
[root@mfyxw50 ~]# cat > /data/k8s-yaml/dubbo-demo-consumer/deployment.yaml << EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: app
labels:
name: dubbo-demo-consumer
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-consumer
template:
metadata:
labels:
app: dubbo-demo-consumer
name: dubbo-demo-consumer
annotations:
blackbox_path: /hello?name=health
blackbox_port: "8080"
blackbox_scheme: http
spec:
containers:
- name: dubbo-demo-consumer
image: harbor.od.com/app/dubbo-demo-consumer:master_20200614_2211
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-client.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
在master節點(mfyxw30或mfyxw40其任意一臺執行如下命令)
先將之前執行的dubbo-demo-consumer的pod刪除，再重新生成
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-consumer/deployment.yaml
deployment.extensions "dubbo-demo-consumer" deleted
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/dubbo-demo-consumer/deployment.yaml
deployment.extensions/dubbo-demo-consumer created
(4)kubernetes-pods：監控JVM資訊
只需要在template.metadata下新增annotations即可
annotations:
prometheus_io_scrape: true
prometheus_io_port: "12346"
prometheus_io_path: /
此處還是以dubbo-demo-service(提供者)與dubbo-demo-consumer(消費者)來做例子
在運維主機(mfyxw50.mfyxw.com)上執行操作
修改dubbo-demo-service的deployment.yaml如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/dubbo-demo-service/deployment.yaml << EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-service
namespace: app
labels:
name: dubbo-demo-service
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-service
template:
metadata:
labels:
app: dubbo-demo-service
name: dubbo-demo-service
annotations:
blackbox_port: "20880"
blackbox_scheme: tcp
prometheus_io_scrape: "true"
prometheus_io_port: "12346"
prometheus_io_path: /
spec:
containers:
- name: dubbo-demo-service
image: harbor.od.com/app/dubbo-demo-service:master_20200613_1929
ports:
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-server.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
修改dubbo-demo-consumer的deployment.yaml如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/dubbo-demo-consumer/deployment.yaml << EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: app
labels:
name: dubbo-demo-consumer
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-consumer
template:
metadata:
labels:
app: dubbo-demo-consumer
name: dubbo-demo-consumer
annotations:
blackbox_path: /hello?name=health
blackbox_port: "8080"
blackbox_scheme: http
prometheus_io_scrape: "true"
prometheus_io_port: "12346"
prometheus_io_path: /
spec:
containers:
- name: dubbo-demo-consumer
image: harbor.od.com/app/dubbo-demo-consumer:master_20200614_2211
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-client.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
刪除已經執行的pod，重新建立pod
在master節點(mfyxw30或mfyxw40)任意一臺執行即可
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-service/deployment.yaml
deployment.extensions "dubbo-demo-service" deleted
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-consumer/deployment.yaml
deployment.extensions "dubbo-demo-consumer" deleted
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/dubbo-demo-service/deployment.yaml
deployment.extensions/dubbo-demo-service created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/dubbo-demo-consumer/deployment.yaml
deployment.extensions/dubbo-demo-consumer created
7.安裝部署配置Grafana
grafana官方dockerhub地址：https://hub.docker.com/r/grafana/grafana
grafana官方github地址：https://github.com/grafana/grafana
grafana官網：https://grafana.com/
在運維主機(mfyxw50.mfyxw.com)操作
(1)下載grafana 映象檔案
[root@mfyxw50 ~]# docker pull grafana/grafana:5.4.2
5.4.2: Pulling from grafana/grafana
a5a6f2f73cd8: Pull complete
08e6195c0f29: Pull complete
b7bd3a2a524c: Pull complete
d3421658103b: Pull complete
cd7c84229877: Pull complete
49917e11f039: Pull complete
Digest: sha256:b9a31857e86e9cf43552605bd7f3c990c123f8792ab6bea8f499db1a1bdb7d53
Status: Downloaded newer image for grafana/grafana:5.4.2
docker.io/grafana/grafana:5.4.2
(2)將grafana打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep grafana
grafana/grafana 5.4.2 6f18ddf9e552 20 months ago 243MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag grafana/grafana:5.4.2 harbor.od.com/infra/grafana:5.4.2
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/infra/grafana:5.4.2
The push refers to repository [harbor.od.com/infra/grafana]
8e6f0f1fe3f4: Pushed
f8bf0b7b071d: Pushed
5dde66caf2d2: Pushed
5c8801473422: Pushed
11f89658f27f: Pushed
ef68f6734aa4: Pushed
5.4.2: digest: sha256:b9a31857e86e9cf43552605bd7f3c990c123f8792ab6bea8f499db1a1bdb7d53 size: 1576
(3)提供grafana資源配置檔案
先建立目錄用於存放grafana資源配置檔案
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/grafana
建立grafana資源配置檔案
rbac.yaml內容如下：
[root@mfyxw50 ~]# cat >/data/k8s-yaml/grafana/rbac.yaml << EOF
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
addonmanager.kubernetes.io/mode: Reconcile
kubernetes.io/cluster-service: "true"
name: grafana
rules:
- apiGroups:
- "*"
resources:
- namespaces
- deployments
- pods
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
addonmanager.kubernetes.io/mode: Reconcile
kubernetes.io/cluster-service: "true"
name: grafana
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: grafana
subjects:
- kind: User
name: k8s-node
EOF
deployment.yaml檔案內容如下：
[root@mfyxw50 ~]# cat >/data/k8s-yaml/grafana/deployment.yaml << EOF
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
labels:
app: grafana
name: grafana
name: grafana
namespace: infra
spec:
progressDeadlineSeconds: 600
replicas: 1
revisionHistoryLimit: 7
selector:
matchLabels:
name: grafana
strategy:
rollingUpdate:
maxSurge: 1
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
app: grafana
name: grafana
spec:
containers:
- name: grafana
image: harbor.od.com/infra/grafana:5.4.2
imagePullPolicy: IfNotPresent
ports:
- containerPort: 3000
protocol: TCP
volumeMounts:
- mountPath: /var/lib/grafana
name: data
imagePullSecrets:
- name: harbor
securityContext:
runAsUser: 0
volumes:
- nfs:
server: mfyxw50
path: /data/nfs-volume/grafana
name: data
EOF
service.yaml檔案內容如下：
[root@mfyxw50 ~]# cat >/data/k8s-yaml/grafana/service.yaml << EOF
apiVersion: v1
kind: Service
metadata:
name: grafana
namespace: infra
spec:
ports:
- port: 3000
protocol: TCP
targetPort: 3000
selector:
app: grafana
EOF
ingress.yaml檔案內容如下：
[root@mfyxw50 ~]# cat >/data/k8s-yaml/grafana/ingress.yaml << EOF
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: grafana
namespace: infra
spec:
rules:
- host: grafana.od.com
http:
paths:
- path: /
backend:
serviceName: grafana
servicePort: 3000
EOF
(4)建立grafana持久儲存(NFS目錄)
[root@mfyxw50 ~]# mkdir -p /data/nfs-volume/grafana
(5)解析域名
在DNS伺服器(mfyxw10)執行操作
新增grafana.od.com域名解析
[root@mfyxw10 ~]# cat > /var/named/od.com.zone << EOF
\$ORIGIN od.com.
\$TTL 600 ; 10 minutes
@ IN SOA dns.od.com. dnsadmin.od.com. (
;序號請加1，表示比之前版本要新
2020031316 ; serial
10800 ; refresh (3 hours)
900 ; retry (15 minutes)
604800 ; expire (1 week)
86400 ; minimum (1 day)
)
NS dns.od.com.
\$TTL 60 ; 1 minute
dns A 192.168.80.10
harbor A 192.168.80.50 ;新增harbor記錄
k8s-yaml A 192.168.80.50
traefik A 192.168.80.100
dashboard A 192.168.80.100
zk1 A 192.168.80.10
zk2 A 192.168.80.20
zk3 A 192.168.80.30
jenkins A 192.168.80.100
dubbo-monitor A 192.168.80.100
demo A 192.168.80.100
mysql A 192.168.80.10
config A 192.168.80.100
portal A 192.168.80.100
zk-test A 192.168.80.10
zk-prod A 192.168.80.20
config-test A 192.168.80.100
config-prod A 192.168.80.100
demo-test A 192.168.80.100
demo-prod A 192.168.80.100
blackbox A 192.168.80.100
prometheus A 192.168.80.100
grafana A 192.168.80.100
EOF
重啟dns服務
[root@mfyxw10 ~]# systemctl restart named
測試域名解析
[root@mfyxw10 ~]# dig -t A grafana.od.com @192.168.80.10 +short
192.168.80.100
(6)應用grafana資源配置清單
在master節點(mfyxw30或mfyxw40任意一臺執行操作即可)
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/grafana/rbac.yaml
clusterrole.rbac.authorization.k8s.io/grafana created
clusterrolebinding.rbac.authorization.k8s.io/grafana created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/grafana/deployment.yaml
deployment.extensions/grafana created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/grafana/service.yaml
service/grafana created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/grafana/ingress.yaml
ingress.extensions/grafana created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl get pods -n infra | grep grafana
grafana-5b64c9d6d-tkldg 1/1 Running 0 105s
(7)登入grafana，預設使用者和密碼都為：admin
(8)對grafana進行設定
(9)登入grafana的pod，安裝需要用到的外掛
kubernetes外掛
grafana-cli plugins install grafana-kubernetes-app
Clock外掛
grafana-cli plugins install grafana-clock-panel
D3 Gauge外掛
grafana-cli plugins install briangann-gauge-panel
Discrete外掛
grafana-cli plugins install natel-discrete-panel
Pie Chart外掛
grafana-cli plugins install grafana-piechart-panel
[root@mfyxw30 ~]# kubectl exec -it grafana-5b64c9d6d-tkldg -n infra -- /bin/bash
root@grafana-5b64c9d6d-tkldg:/usr/share/grafana# grafana-cli plugins install grafana-kubernetes-app
installing grafana-kubernetes-app @ 1.0.1
from url: https://grafana.com/api/plugins/grafana-kubernetes-app/versions/1.0.1/download
into: /var/lib/grafana/plugins
✔ Installed grafana-kubernetes-app successfully
Restart grafana after installing plugins . <service grafana-server restart>
root@grafana-5b64c9d6d-tkldg:/usr/share/grafana# grafana-cli plugins install grafana-clock-panel
installing grafana-clock-panel @ 1.0.3
from url: https://grafana.com/api/plugins/grafana-clock-panel/versions/1.0.3/download
into: /var/lib/grafana/plugins
✔ Installed grafana-clock-panel successfully
Restart grafana after installing plugins . <service grafana-server restart>
root@grafana-5b64c9d6d-tkldg:/usr/share/grafana# grafana-cli plugins install grafana-piechart-panel
installing grafana-piechart-panel @ 1.6.0
from url: https://grafana.com/api/plugins/grafana-piechart-panel/versions/1.6.0/download
into: /var/lib/grafana/plugins
✔ Installed grafana-piechart-panel successfully
Restart grafana after installing plugins . <service grafana-server restart>
root@grafana-5b64c9d6d-tkldg:/usr/share/grafana# grafana-cli plugins install briangann-gauge-panel
installing briangann-gauge-panel @ 0.0.6
from url: https://grafana.com/api/plugins/briangann-gauge-panel/versions/0.0.6/download
into: /var/lib/grafana/plugins
✔ Installed briangann-gauge-panel successfully
Restart grafana after installing plugins . <service grafana-server restart>
root@grafana-5b64c9d6d-tkldg:/usr/share/grafana# grafana-cli plugins install natel-discrete-panel
installing natel-discrete-panel @ 0.1.0
from url: https://grafana.com/api/plugins/natel-discrete-panel/versions/0.1.0/download
into: /var/lib/grafana/plugins
✔ Installed natel-discrete-panel successfully
Restart grafana after installing plugins . <service grafana-server restart>
外掛 全部已經安裝完成，現在需要將grafana刪除，自動會再次建立一個讓新安裝的外掛生效
重新登入至grafana可以在home頁面上看到剛剛安裝到的外掛或者
也可以在Configuration中找到Plugins看到安裝的外掛
預設kubernetes外掛安裝成功是不啟動的，故需要找到對應的外掛，單擊Enable進行開啟
開啟成功後會在Home頁面的左側顯示kubernetes圖示
(10)配置資料來源
單擊 Configuration --> Data sources --> Add data source，選擇promethus
(11)配置Kubernetes叢集Dashboard
(12)檢視grafana的dashboard情況
(12)刪除自帶的。匯入優化好的
刪除自帶的
匯入優化後的
匯入完成的如下圖所示
8.安裝部署alertmanager
alertmanager的docker映象倉庫地址：https://hub.docker.com/r/prom/alertmanager/
在運維主機(mfyxw50)操作
(1)下載alertmanager映象
[root@mfyxw50 ~]# docker pull prom/alertmanager:v0.19.0
v0.19.0: Pulling from prom/alertmanager
8e674ad76dce: Already exists
e77d2419d1c2: Already exists
fc0b06cce5a2: Pull complete
1cc6eb76696f: Pull complete
c4b97307695d: Pull complete
d49e70084386: Pull complete
Digest: sha256:7dbf4949a317a056d11ed8f379826b04d0665fad5b9334e1d69b23e946056cd3
Status: Downloaded newer image for prom/alertmanager:v0.19.0
docker.io/prom/alertmanager:v0.19.0
(2)給alertmanager打標籤並上傳至私有倉庫
[root@mfyxw50 ~]# docker images | grep alertmanager
prom/alertmanager v0.19.0 30594e96cbe8 11 months ago 53.2MB
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker tag prom/alertmanager:v0.19.0 harbor.od.com/infra/alertmanager:v0.19.0
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker login harbor.od.com
Authenticating with existing credentials...
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
[root@mfyxw50 ~]#
[root@mfyxw50 ~]# docker push harbor.od.com/infra/alertmanager:v0.19.0
The push refers to repository [harbor.od.com/infra/alertmanager]
bb7386721ef9: Pushed
13b4609b0c95: Pushed
ba550e698377: Pushed
fa5b6d2332d5: Pushed
3163e6173fcc: Mounted from infra/prometheus
6194458b07fc: Mounted from infra/prometheus
v0.19.0: digest: sha256:8088fac0a74480912fbb76088247d0c4e934f1dd2bd199b52c40c1e9dba69917 size: 1575
(3)建立alertmanager的資源配置清單
建立存放資源配置檔案的目錄
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/alertmanager
建立alertmanager資源配置檔案
configmap.yaml檔案內容如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/alertmanager/configmap.yaml << EOF
apiVersion: v1
kind: ConfigMap
metadata:
name: alertmanager-config
namespace: infra
data:
config.yml: |-
global:
# 在沒有報警的情況下宣告為已解決的時間
resolve_timeout: 5m
# 配置郵件傳送資訊
smtp_smarthost: 'smtp.126.com:25'
smtp_from: '[email protected]'
smtp_auth_username: '[email protected]'
smtp_auth_password: '郵箱密碼(授權碼)'
smtp_require_tls: false
# 所有報警資訊進入後的根路由，用來設定報警的分發策略
route:
# 這裡的標籤列表是接收到報警資訊後的重新分組標籤，例如，接收到的報警資訊裡面有許多具有 cluster=A 和 alertname=LatncyHigh 這樣的標籤的報警資訊將會批量被聚合到一個分組裡面
group_by: ['alertname', 'cluster']
# 當一個新的報警分組被建立後，需要等待至少group_wait時間來初始化通知，這種方式可以確保您能有足夠的時間為同一分組來獲取多個警報，然後一起觸發這個報警資訊。
group_wait: 30s
# 當第一個報警傳送後，等待'group_interval'時間來發送新的一組報警資訊。
group_interval: 5m
# 如果一個報警資訊已經發送成功了，等待'repeat_interval'時間來重新發送他們
repeat_interval: 5m
# 預設的receiver：如果一個報警沒有被一個route匹配，則傳送給預設的接收器
receiver: default
receivers:
- name: 'default'
email_configs:
- to: '[email protected]'
send_resolved: true
EOF
deployment.yaml檔案內容如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/alertmanager/deployment.yaml << EOF
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: alertmanager
namespace: infra
spec:
replicas: 1
selector:
matchLabels:
app: alertmanager
template:
metadata:
labels:
app: alertmanager
spec:
containers:
- name: alertmanager
image: harbor.od.com/infra/alertmanager:v0.19.0
args:
- "--config.file=/etc/alertmanager/config.yml"
- "--storage.path=/alertmanager"
ports:
- name: alertmanager
containerPort: 9093
volumeMounts:
- name: alertmanager-cm
mountPath: /etc/alertmanager
volumes:
- name: alertmanager-cm
configMap:
name: alertmanager-config
imagePullSecrets:
- name: harbor
EOF
service.yaml檔案內容如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/alertmanager/service.yaml << EOF
apiVersion: v1
kind: Service
metadata:
name: alertmanager
namespace: infra
spec:
selector:
app: alertmanager
ports:
- port: 80
targetPort: 9093
EOF
(4)應用alertmanager的資源配置清單
在master節點(mfyxw30或mfyxw40)任意一臺執行即可
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/alertmanager/configmap.yaml
configmap/alertmanager-config created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/alertmanager/deployment.yaml
deployment.extensions/alertmanager created
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/alertmanager/service.yaml
service/alertmanager created
(5)檢視altermanager的pod是否已經啟動
[root@mfyxw30 ~]# kubectl get pods -n infra | grep alertmanager
alertmanager-6754975dbf-csd49 1/1 Running 0 101s
(6)為alertmanager建立報警規則
[root@mfyxw50 ~]# cat > /data/nfs-volume/prometheus/etc/rules.yml << EOF
groups:
- name: hostStatsAlert
rules:
- alert: hostCpuUsageAlert
expr: sum(avg without (cpu)(irate(node_cpu{mode!='idle'}[5m]))) by (instance) > 0.85
for: 5m
labels:
severity: warning
annotations:
summary: "{{ \$labels.instance }} CPU usage above 85% (current value: {{ \$value }}%)"
- alert: hostMemUsageAlert
expr: (node_memory_MemTotal - node_memory_MemAvailable)/node_memory_MemTotal > 0.85
for: 5m
labels:
severity: warning
annotations:
summary: "{{ \$labels.instance }} MEM usage above 85% (current value: {{ \$value }}%)"
- alert: OutOfInodes
expr: node_filesystem_free{fstype="overlay",mountpoint ="/"} / node_filesystem_size{fstype="overlay",mountpoint ="/"} * 100 < 10
for: 5m
labels:
severity: warning
annotations:
summary: "Out of inodes (instance {{ \$labels.instance }})"
description: "Disk is almost running out of available inodes (< 10% left) (current value: {{ \$value }})"
- alert: OutOfDiskSpace
expr: node_filesystem_free{fstype="overlay",mountpoint ="/rootfs"} / node_filesystem_size{fstype="overlay",mountpoint ="/rootfs"} * 100 < 10
for: 5m
labels:
severity: warning
annotations:
summary: "Out of disk space (instance {{ \$labels.instance }})"
description: "Disk is almost full (< 10% left) (current value: {{ \$value }})"
- alert: UnusualNetworkThroughputIn
expr: sum by (instance) (irate(node_network_receive_bytes[2m])) / 1024 / 1024 > 100
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual network throughput in (instance {{ \$labels.instance }})"
description: "Host network interfaces are probably receiving too much data (> 100 MB/s) (current value: {{ \$value }})"
- alert: UnusualNetworkThroughputOut
expr: sum by (instance) (irate(node_network_transmit_bytes[2m])) / 1024 / 1024 > 100
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual network throughput out (instance {{ \$labels.instance }})"
description: "Host network interfaces are probably sending too much data (> 100 MB/s) (current value: {{ \$value }})"
- alert: UnusualDiskReadRate
expr: sum by (instance) (irate(node_disk_bytes_read[2m])) / 1024 / 1024 > 50
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual disk read rate (instance {{ \$labels.instance }})"
description: "Disk is probably reading too much data (> 50 MB/s) (current value: {{ \$value }})"
- alert: UnusualDiskWriteRate
expr: sum by (instance) (irate(node_disk_bytes_written[2m])) / 1024 / 1024 > 50
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual disk write rate (instance {{ \$labels.instance }})"
description: "Disk is probably writing too much data (> 50 MB/s) (current value: {{ \$value }})"
- alert: UnusualDiskReadLatency
expr: rate(node_disk_read_time_ms[1m]) / rate(node_disk_reads_completed[1m]) > 100
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual disk read latency (instance {{ \$labels.instance }})"
description: "Disk latency is growing (read operations > 100ms) (current value: {{ \$value }})"
- alert: UnusualDiskWriteLatency
expr: rate(node_disk_write_time_ms[1m]) / rate(node_disk_writes_completedl[1m]) > 100
for: 5m
labels:
severity: warning
annotations:
summary: "Unusual disk write latency (instance {{ \$labels.instance }})"
description: "Disk latency is growing (write operations > 100ms) (current value: {{ \$value }})"
- name: http_status
rules:
- alert: ProbeFailed
expr: probe_success == 0
for: 1m
labels:
severity: error
annotations:
summary: "Probe failed (instance {{ \$labels.instance }})"
description: "Probe failed (current value: {{ \$value }})"
- alert: StatusCode
expr: probe_http_status_code <= 199 OR probe_http_status_code >= 400
for: 1m
labels:
severity: error
annotations:
summary: "Status Code (instance {{ \$labels.instance }})"
description: "HTTP status code is not 200-399 (current value: {{ \$value }})"
- alert: SslCertificateWillExpireSoon
expr: probe_ssl_earliest_cert_expiry - time() < 86400 * 30
for: 5m
labels:
severity: warning
annotations:
summary: "SSL certificate will expire soon (instance {{ \$labels.instance }})"
description: "SSL certificate expires in 30 days (current value: {{ \$value }})"
- alert: SslCertificateHasExpired
expr: probe_ssl_earliest_cert_expiry - time() <= 0
for: 5m
labels:
severity: error
annotations:
summary: "SSL certificate has expired (instance {{ \$labels.instance }})"
description: "SSL certificate has expired already (current value: {{ \$value }})"
- alert: BlackboxSlowPing
expr: probe_icmp_duration_seconds > 2
for: 5m
labels:
severity: warning
annotations:
summary: "Blackbox slow ping (instance {{ \$labels.instance }})"
description: "Blackbox ping took more than 2s (current value: {{ \$value }})"
- alert: BlackboxSlowRequests
expr: probe_http_duration_seconds > 2
for: 5m
labels:
severity: warning
annotations:
summary: "Blackbox slow requests (instance {{ \$labels.instance }})"
description: "Blackbox request took more than 2s (current value: {{ \$value }})"
- alert: PodCpuUsagePercent
expr: sum(sum(label_replace(irate(container_cpu_usage_seconds_total[1m]),"pod","\$1","container_label_io_kubernetes_pod_name", "(.*)"))by(pod) / on(pod) group_right kube_pod_container_resource_limits_cpu_cores *100 )by(container,namespace,node,pod,severity) > 80
for: 5m
labels:
severity: warning
annotations:
summary: "Pod cpu usage percent has exceeded 80% (current value: {{ \$value }}%)"
EOF
(7)重新對prometheus.yaml檔案新增如下內容
alerting:
alertmanagers:
- static_configs:
- targets: ["alertmanager"]
rule_files:
- "/data/etc/rules.yml"
修改好的prometheus.yaml檔案內容如下：
[root@mfyxw50 ~]# cat > /data/nfs-volume/prometheus/etc/prometheus.yml << EOF
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'etcd'
tls_config:
ca_file: /data/etc/ca.pem
cert_file: /data/etc/client.pem
key_file: /data/etc/client-key.pem
scheme: https
static_configs:
- targets:
- '192.168.80.20:2379'
- '192.168.80.30:2379'
- '192.168.80.40:2379'
- job_name: 'kubernetes-apiservers'
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
- job_name: 'kubernetes-pods'
kubernetes_sd_configs:
- role: pod
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
action: keep
regex: true
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: \$1:\$2
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
- job_name: 'kubernetes-kubelet'
kubernetes_sd_configs:
- role: node
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __address__
replacement: \${1}:10255
- job_name: 'kubernetes-cadvisor'
kubernetes_sd_configs:
- role: node
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_node_label_(.+)
- source_labels: [__meta_kubernetes_node_name]
regex: (.+)
target_label: __address__
replacement: \${1}:4194
- job_name: 'kubernetes-kube-state'
kubernetes_sd_configs:
- role: pod
relabel_configs:
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
- source_labels: [__meta_kubernetes_pod_label_grafanak8sapp]
regex: .*true.*
action: keep
- source_labels: ['__meta_kubernetes_pod_label_daemon', '__meta_kubernetes_pod_node_name']
regex: 'node-exporter;(.*)'
action: replace
target_label: nodename
- job_name: 'blackbox_http_pod_probe'
metrics_path: /probe
kubernetes_sd_configs:
- role: pod
params:
module: [http_2xx]
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_blackbox_scheme]
action: keep
regex: http
- source_labels: [__address__, __meta_kubernetes_pod_annotation_blackbox_port, __meta_kubernetes_pod_annotation_blackbox_path]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+);(.+)
replacement: \$1:\$2\$3
target_label: __param_target
- action: replace
target_label: __address__
replacement: blackbox-exporter.kube-system:9115
- source_labels: [__param_target]
target_label: instance
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
- job_name: 'blackbox_tcp_pod_probe'
metrics_path: /probe
kubernetes_sd_configs:
- role: pod
params:
module: [tcp_connect]
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_blackbox_scheme]
action: keep
regex: tcp
- source_labels: [__address__, __meta_kubernetes_pod_annotation_blackbox_port]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: \$1:\$2
target_label: __param_target
- action: replace
target_label: __address__
replacement: blackbox-exporter.kube-system:9115
- source_labels: [__param_target]
target_label: instance
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
- job_name: 'traefik'
kubernetes_sd_configs:
- role: pod
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scheme]
action: keep
regex: traefik
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: \$1:\$2
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
alerting:
alertmanagers:
- static_configs:
- targets: ["alertmanager"]
rule_files:
- "/data/etc/rules.yml"
EOF
(8)將prometheus平滑載入
[root@mfyxw30 ~]# kubectl get pod -n infra -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
alertmanager-6754975dbf-csd49 1/1 Running 0 12m 10.10.40.13 mfyxw40.mfyxw.com <none> <none>
apollo-portal-57bc86966d-khxvw 1/1 Running 7 34d 10.10.30.12 mfyxw30.mfyxw.com <none> <none>
dubbo-monitor-6676dd74cc-tcx6w 1/1 Running 9 31d 10.10.30.11 mfyxw30.mfyxw.com <none> <none>
grafana-5b64c9d6d-k4dqm 1/1 Running 1 21h 10.10.40.10 mfyxw40.mfyxw.com <none> <none>
jenkins-b99776c69-49dnr 1/1 Running 10 37d 10.10.40.9 mfyxw40.mfyxw.com <none> <none>
prometheus-7d466f8c64-d9g99 1/1 Running 2 29d 10.10.30.16 mfyxw30.mfyxw.com <none> <none>
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# ps aux | grep prometheus
root 4128 2.0 3.8 886200 397848 ? Ssl 09:33 6:50 /bin/prometheus --config.file=/data/etc/prometheus.yml --storage.tsdb.path=/data/prom-db --storage.tsdb.min-block-duration=10m --storage.tsdb.retention=72h
root 29306 1.0 0.6 185524 65932 ? Ssl 15:09 0:00 traefik traefik --api --kubernetes --logLevel=INFO --insecureskipverify=true --kubernetes.endpoint=https://192.168.80.100:7443 --accesslog --accesslog.filepath=/var/log/traefik_access.log --traefiklog --traefiklog.filepath=/var/log/traefik.log --metrics.prometheus
root 29766 0.0 0.0 112720 2216 pts/0 R+ 15:10 0:00 grep --color=auto prometheus
[root@mfyxw30 ~]#
[root@mfyxw30 ~]# kill -SIGHUP 4128
(9)測試傳送報警郵件
將dubbo-demo-service(提供者)的pod刪除
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-service/deployment.yaml
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/dubbo-demo-consumer/deployment.yaml
或者進入dashboard將dubbo-demo-service的伸縮修改為0