Prometheus监控k8s企业级应用
Prometheus架构图
常见的镜像
| pod | 备注 |
|---|---|
| kube-state-metric | 用来收集K8S基本状态信息的监控代理 |
| node-exporter | 专门用来收集K8S运算节点基础信息，需要部署到所有运算节点 |
| cadivsor | 用来监控容器内部使用资源的重要工具 |
| blackbox-exporter | 用来帮助你探明你业务容器是否存活 |
新一代容器云监控平台P+G
| Exporters(可以自定义开发) | HTTP接口 定义监控荐和监控项的标签(维度) 按一定的数据结构组织监控数据 以时间序列被收集 |
|---|---|
| Prometheus Server | Retriever(数据收集器) TSDB(时间序列数据库) Configure (static_config、kubernetes_sd、file_sd) HTTP Server |
| Grafana | 多种多样的插件 数据源(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
在运维主机mfyxw50.mfyxw.com上执行
(1)下载kube-state-metric镜像
[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)打标签并上传至私有仓库
[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)登录私有仓库查看public项目是否有kube-state-metrics
(4)创建存放kube-state-metric资源配置清单目录
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/kube-state-metrics
(5)创建kube-state-metrics资源配置清单
rbrc.yaml文件内容
[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文件内容
[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)应用kube-state-metric资源配置清单
在master节点(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一节点上执行
[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)查看kube-state-metrics健康信息
[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仓库地址：https://github.com/prometheus/node_exporter
node-exporter官方dockerhub地址：https://hub.docker.com/r/prom/node-exporter/
在运维主机mfyxw50.mfyxw.com操作
(1)下载node-exporter镜像
[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)打标签并上传至私有仓库
[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)登录私有仓库查看public项目是否有node-exporter
(4)创建存放node-exporter资源配置清单目录
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/node-exporter
(5)创建node-exporter资源配置清单
daemonset.yaml文件内容
[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)应用node-exporter资源配置清单
在master节点(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一节点上执行
[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)查看到node-exporter的IP地址访问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链接：https://hub.docker.com/r/google/cadvisor/
cadvisor官方github链接：https://github.com/google/cadvisor
(1)下载cadvisor镜像
[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)打标签并上传至私有仓库
[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)登录私有仓库查看public项目是否有cadvisor
(4)创建存放cadvisor资源配置清单目录
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/cadvisor
(5)创建cadvisor资源配置清单
daemonset.yaml文件内容
[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)修改运算节点软连接
所有的运算节点都需要修改
[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)应用cadvisor资源配置清单
在master节点(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一节点上执行
[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)查看到cadvisor的IP地址并访问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链接：https://hub.docker.com/r/prom/blackbox-exporter/
blackbox-exporter官方github链接：https://github.com/prometheus/blackbox_exporter
在运维主机mfyxw50.mfyxw.com上执行
(1)下载blackbox-exporter镜像
[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)打标签并上传至私有仓库
[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)登录私有仓库查看public项目是否有blackbox-exporter
(4)创建存放blackbox-exporter资源配置清单目录
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/blackbox-exporter
(5)创建blackbox-exporter资源配置清单
configmap.yaml文件内容
[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文件内容
[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文件内容
[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文件内容
[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)解析域名并测试域名
在mfyxw10.mfyxw.com主机上操作
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. (
;序号请加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 ;添加harbor记录
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
重启DNS服务
[root@mfyxw10 ~]# systemctl restart named
测试域名解析
[root@mfyxw10 ~]# dig -t A blackbox.od.com @192.168.80.10 +short
192.168.80.100
(7)应用blackbox-exporter资源配置清单
在master节点(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一节点上执行
[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)访问域名
5.部署prometheus
prometheus官方dockerhub链接：https://hub.docker.com/r/prom/prometheus
prometheus官方github链接：https://github.com/prometheus/prometheus
在运维主机mfyxw50.mfyxw.com执行
(1)下载prometheus镜像
[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)打标签并上传至私有仓库
[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)登录私有仓库查看infra项目是否有prometheus
(4)创建目录
创建存储prometheus资源配置清单目录
[root@mfyxw50 ~]# mkdir /data/k8s-yaml/prometheus
创建持久化数据目录
[root@mfyxw50 ~]# mkdir /data/nfs-volume/prometheus
(5)创建prometheus资源配置清单
rbrc.yaml文件内容
[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文件内容
[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文件内容
[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文件内容
[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)准备prometheus的配置文件
创建目录
[root@mfyxw50 ~]# mkdir -p /data/nfs-volume/prometheus/{etc,prom-db}
拷贝证书
[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/
创建prometheus.yml配置文件
[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)应用prometheus资源配置清单
在master节点(mfyxw30.mfyxw.com或mfyxw40.mfyxw.com)任意一节点上执行
由于资源的限制，先查看一下jenkins在哪台运算节点上运行，建议与jenkins节点错开不同的运算节点，毕竟promethus比较耗内存资源，故一般在实际生产环境上都建议单独使用一台运算节点来运行prometheus，建议在此节点上打上污点，让其它的pod无法调度此运算节点，在此实现的环境中，就不做污点处理，但是，在prometheus的deployment.yaml文件，使用了nodeName来指定prometheus运行在哪个运算节点。实际环境建议将nodeName删除
[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 ~]#
应用资源配置清单
[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)解析域名并测试域名解析
在mfyxw10.mfyxw.com主机上操作
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. (
;序号请加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 ;添加harbor记录
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
重启DNS服务
[root@mfyxw10 ~]# systemctl restart named
测试域名解析
[root@mfyxw10 ~]# dig -t A prometheus.od.com @192.168.80.10 +short
192.168.80.100
(9)访问prometheus域名
6.配置prometheus监控业务容器
在promethus中的Targets中，可以看到，blackbox_http，blackbox_tcp，kubernetes-pods，traefik都没有监控对象，故下面针对此来做监控
(1)监控traefik
通过在promethus的Configuration的配置文件中可以看到，需要监控traefik的对象，则在pod的yaml文件中添加annotations即可
修改原traefik的DaemonSet.yaml文件，添加annotations
annotations:
prometheus_io_scheme: traefik
prometheus_io_path: /metrics
prometheus_io_port: "8080"
在运维主机(mfyxw50.mfyxw.com)上执行操作
对DaemonSet.yaml修改，文件内容如下：
[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
删除原来的traefik的pod
在mfyxw30.mfyxw.com主机上执行如下操作
[root@mfyxw30 ~]# kubectl delete -f http://k8s-yaml.od.com/traefik/DaemonSet.yaml
daemonset.extensions "traefik-ingress" deleted
重新运行修改后的DaemonSet.yaml文件
[root@mfyxw30 ~]# kubectl apply -f http://k8s-yaml.od.com/traefik/DaemonSet.yaml
daemonset.extensions/traefik-ingress created
再次登录promethus，在Targets查看traefik是否已经监控到
(2)blackbox：监控tcp服务是否存活
blackbox_tcp_pod_probe：监控tcp协议服务是否存活，此处就以dubbo提供者(dubbo-demo-service)做演示
只需要在template.metadata下添加annotations即可
annotations:
blackbox_port: "20880"
blackbox_scheme: tcp
对dubbo-demo-service的deployment.yaml文件修改如下
[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节点(mfyxw30或mfyxw40其任意一台执行如下命令)
先将之前运行的dubbo-demo-service的pod删除，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
再次登录promethus，在Targets查看blackbox_tcp_pod_probe是否已经监控到
(3)blackbox：监控http服务是否存活
blackbox_http_pod_probe：监控http协议服务是否存活，此处就以dubbo消费者(dubbo-demo-consumer)做演示
只需要在template.metadata下添加annotations即可
annotations:
blackbox_path: /
blackbox_port: "8080"
blackbox_scheme: http
因dubbo-demo-consumer的根目录下没有内容,如不做修改直接使用/，会一直报错(Failure)
故将/修改为/hello?name=health
修改后的dubbo-demo-consumer的deployment.yaml文件内容如下：（先使用/来做测试，看看会报什么错，再修改为/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节点(mfyxw30或mfyxw40其任意一台执行如下命令)
先将之前运行的dubbo-demo-consumer的pod删除，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：监控JVM信息
只需要在template.metadata下添加annotations即可
annotations:
prometheus_io_scrape: true
prometheus_io_port: "12346"
prometheus_io_path: /
此处还是以dubbo-demo-service(提供者)与dubbo-demo-consumer(消费者)来做例子
在运维主机(mfyxw50.mfyxw.com)上执行操作
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
删除已经运行的pod，重新创建pod
在master节点(mfyxw30或mfyxw40)任意一台执行即可
[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.安装部署配置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官网：https://grafana.com/
在运维主机(mfyxw50.mfyxw.com)操作
(1)下载grafana 镜像文件
[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)将grafana打标签并上传至私有仓库
[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资源配置文件
先创建目录用于存放grafana资源配置文件
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/grafana
创建grafana资源配置文件
rbac.yaml内容如下：
[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文件内容如下：
[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文件内容如下：
[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文件内容如下：
[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)创建grafana持久存储(NFS目录)
[root@mfyxw50 ~]# mkdir -p /data/nfs-volume/grafana
(5)解析域名
在DNS服务器(mfyxw10)执行操作
添加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. (
;序号请加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 ;添加harbor记录
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
重启dns服务
[root@mfyxw10 ~]# systemctl restart named
测试域名解析
[root@mfyxw10 ~]# dig -t A grafana.od.com @192.168.80.10 +short
192.168.80.100
(6)应用grafana资源配置清单
在master节点(mfyxw30或mfyxw40任意一台执行操作即可)
[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)登录grafana，默认用户和密码都为：admin
(8)对grafana进行设置
(9)登录grafana的pod，安装需要用到的插件
kubernetes插件
grafana-cli plugins install grafana-kubernetes-app
Clock插件
grafana-cli plugins install grafana-clock-panel
D3 Gauge插件
grafana-cli plugins install briangann-gauge-panel
Discrete插件
grafana-cli plugins install natel-discrete-panel
Pie Chart插件
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>
插件 全部已经安装完成，现在需要将grafana删除，自动会再次创建一个让新安装的插件生效
重新登录至grafana可以在home页面上看到刚刚安装到的插件或者
也可以在Configuration中找到Plugins看到安装的插件
默认kubernetes插件安装成功是不启动的，故需要找到对应的插件，单击Enable进行开启
开启成功后会在Home页面的左侧显示kubernetes图标
(10)配置数据源
单击 Configuration --> Data sources --> Add data source，选择promethus
(11)配置Kubernetes集群Dashboard
(12)查看grafana的dashboard情况
(12)删除自带的。导入优化好的
删除自带的
导入优化后的
导入完成的如下图所示
8.安装部署alertmanager
alertmanager的docker镜像仓库地址：https://hub.docker.com/r/prom/alertmanager/
在运维主机(mfyxw50)操作
(1)下载alertmanager镜像
[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)给alertmanager打标签并上传至私有仓库
[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)创建alertmanager的资源配置清单
创建存放资源配置文件的目录
[root@mfyxw50 ~]# mkdir -p /data/k8s-yaml/alertmanager
创建alertmanager资源配置文件
configmap.yaml文件内容如下：
[root@mfyxw50 ~]# cat > /data/k8s-yaml/alertmanager/configmap.yaml << EOF
apiVersion: v1
kind: ConfigMap
metadata:
name: alertmanager-config
namespace: infra
data:
config.yml: |-
global:
# 在没有报警的情况下声明为已解决的时间
resolve_timeout: 5m
# 配置邮件发送信息
smtp_smarthost: 'smtp.126.com:25'
smtp_from: 'attachiny@126.com'
smtp_auth_username: 'attachiny@126.com'
smtp_auth_password: '邮箱密码(授权码)'
smtp_require_tls: false
# 所有报警信息进入后的根路由，用来设置报警的分发策略
route:
# 这里的标签列表是接收到报警信息后的重新分组标签，例如，接收到的报警信息里面有许多具有 cluster=A 和 alertname=LatncyHigh 这样的标签的报警信息将会批量被聚合到一个分组里面
group_by: ['alertname', 'cluster']
# 当一个新的报警分组被创建后，需要等待至少group_wait时间来初始化通知，这种方式可以确保您能有足够的时间为同一分组来获取多个警报，然后一起触发这个报警信息。
group_wait: 30s
# 当第一个报警发送后，等待'group_interval'时间来发送新的一组报警信息。
group_interval: 5m
# 如果一个报警信息已经发送成功了，等待'repeat_interval'时间来重新发送他们
repeat_interval: 5m
# 默认的receiver：如果一个报警没有被一个route匹配，则发送给默认的接收器
receiver: default
receivers:
- name: 'default'
email_configs:
- to: '371314999@qq.com'
send_resolved: true
EOF
deployment.yaml文件内容如下：
[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文件内容如下：
[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)应用alertmanager的资源配置清单
在master节点(mfyxw30或mfyxw40)任意一台执行即可
[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)查看altermanager的pod是否已经启动
[root@mfyxw30 ~]# kubectl get pods -n infra | grep alertmanager
alertmanager-6754975dbf-csd49 1/1 Running 0 101s
(6)为alertmanager创建报警规则
[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)重新对prometheus.yaml文件添加如下内容
alerting:
alertmanagers:
- static_configs:
- targets: ["alertmanager"]
rule_files:
- "/data/etc/rules.yml"
修改好的prometheus.yaml文件内容如下：
[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)将prometheus平滑加载
[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)测试发送报警邮件
将dubbo-demo-service(提供者)的pod删除
[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
或者进入dashboard将dubbo-demo-service的伸缩修改为0
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