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资源指标API及自定义指标API
资源指标：metrics-server
自定义指标
1.8以后引入了资源api指标监视
资源指标：metrics-server
自定义指标：prometheus，k8s-prometheus-adapter
k8s的中的prometheus需要k8s-prometheus-adapter转换一下才可以使用
新一代架构：
核心指标流水线：
kubelet，metrics-service以及API service提供api组成；cpu累计使用率，内存实时使用率，pod的资源占用率和容器磁盘占用率；
监控流水线：
用于从系统收集各种指标数据并提供终端用户，存储系统以及HPA，他们包括核心指标以及很多非核心指标，非核心指标本身不能被k8s解析
metrics-server：API service
卸载上次实验的安装：
[root@master influxdb]# ls
grafana.yaml heapster-rbac.yaml heapster.yaml influxdb.yaml
[root@master influxdb]# kubectl delete -f ./
deployment.apps "monitoring-grafana" deleted
service "monitoring-grafana" deleted
clusterrolebinding.rbac.authorization.k8s.io "heapster" deleted
serviceaccount "heapster" deleted
deployment.apps "heapster" deleted
service "heapster" deleted
deployment.apps "monitoring-influxdb" deleted
service "monitoring-influxdb" deleted
[root@master influxdb]# kubectl get svc -n kube-system
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kube-dns ClusterIP 10.96.0.10 <none> 53/UDP,53/TCP 14d
kubernetes-dashboard NodePort 10.108.38.237 <none> 443:31619/TCP 4dkubernetes metrics server 参考文档
https://github.com/kubernetes-incubator/metrics-server
会用到的yaml文件：
https://github.com/kubernetes-incubator/metrics-server/tree/master/deploy/1.8%2B
或者
https://github.com/kubernetes/kubernetes/tree/master/cluster/addons/metrics-server（建议使用）
下载六个文件并创建
for file in auth-delegator.yaml auth-reader.yaml metrics-apiservice.yaml metrics-server-deployment.yaml metrics-server-service.yaml resource-reader.yaml;do wget https://raw.githubusercontent.com/kubernetes/kubernetes/master/cluster/addons/metrics-server/$file; done##########################
注意：需要修改的地方：
##########################
metrics-server-deployment.yaml
# - --source=kubernetes.summary_api:''
- --source=kubernetes.summary_api:https://kubernetes.default?kubeletHttps=true&kubeletPort=10250&insecure=true
resource-reader.yaml
resources:
- pods
- nodes
- namespaces
- nodes/stats #新加
开始运行：
kubectl apply -f ./[root@master metrics]# kubectl api-versions
admissionregistration.k8s.io/v1beta1
apiextensions.k8s.io/v1beta1
apiregistration.k8s.io/v1
apiregistration.k8s.io/v1beta1
apps/v1
apps/v1beta1
apps/v1beta2
authentication.k8s.io/v1
authentication.k8s.io/v1beta1
authorization.k8s.io/v1
authorization.k8s.io/v1beta1
autoscaling/v1
autoscaling/v2beta1
batch/v1
batch/v1beta1
certificates.k8s.io/v1beta1
crd.projectcalico.org/v1
events.k8s.io/v1beta1
extensions/v1beta1
metrics.k8s.io/v1beta1 #metrics控制器，有说明成功
networking.k8s.io/v1
policy/v1beta1
rbac.authorization.k8s.io/v1
rbac.authorization.k8s.io/v1beta1
scheduling.k8s.io/v1beta1
storage.k8s.io/v1
storage.k8s.io/v1beta1
v1
[root@master metrics]# kubectl get pods -n kube-system
NAME READY STATUS RESTARTS AGE
canal-98mcn 3/3 Running 0 3d
canal-gnp5r 3/3 Running 3 3d
coredns-78fcdf6894-27npt 1/1 Running 3 15d
coredns-78fcdf6894-mbg8n 1/1 Running 3 15d
etcd-master 1/1 Running 3 15d
kube-apiserver-master 1/1 Running 3 15d
kube-controller-manager-master 1/1 Running 3 15d
kube-flannel-ds-amd64-6ws6q 1/1 Running 1 3d
kube-flannel-ds-amd64-mg9sm 1/1 Running 3 3d
kube-flannel-ds-amd64-sq9wj 1/1 Running 0 3d
kube-proxy-g9n4d 1/1 Running 3 15d
kube-proxy-wrqt8 1/1 Running 2 15d
kube-proxy-x7vc2 1/1 Running 1 15d
kube-scheduler-master 1/1 Running 3 15d
kubernetes-dashboard-767dc7d4d-cj75v 1/1 Running 0 1d
metrics-server-v0.2.1-5cf9489f67-vzdvt 2/2 Running 0 1h #这个状态是正常的##########################
master新开一个反向代理端口
[root@master ~]# kubectl proxy --port=8080
Starting to serve on 127.0.0.1:8080
成功获取数据
[root@master test]# curl http://localhost:8080/apis/metrics.k8s.io/v1beta1/nodes
[root@master metrics]# curl http://localhost:8080/apis/metrics.k8s.io/v1beta1/nodes
{
"kind": "NodeMetricsList",
"apiVersion": "metrics.k8s.io/v1beta1",
"metadata": {
"selfLink": "/apis/metrics.k8s.io/v1beta1/nodes"
},
"items": [
{
"metadata": {
"name": "master",
"selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/master",
"creationTimestamp": "2018-09-20T05:10:31Z"
},
"timestamp": "2018-09-20T05:10:00Z",
"window": "1m0s",
"usage": {
"cpu": "68m",
"memory": "1106256Ki"
}
},
{
"metadata": {
"name": "node1",
"selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/node1",
"creationTimestamp": "2018-09-20T05:10:31Z"
},
"timestamp": "2018-09-20T05:10:00Z",
"window": "1m0s",
"usage": {
"cpu": "29m",
"memory": "478428Ki"
}
},
{
"metadata": {
"name": "node2",
"selfLink": "/apis/metrics.k8s.io/v1beta1/nodes/node2",
"creationTimestamp": "2018-09-20T05:10:31Z"
},
"timestamp": "2018-09-20T05:10:00Z",
"window": "1m0s",
"usage": {
"cpu": "36m",
"memory": "416112Ki"
}
}
]
}
测试：注意(有的时候会需要等一会)
[root@master metrics]# kubectl top nodes
error: metrics not available yet
[root@master metrics]# kubectl top nodes
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
master 67m 6% 1078Mi 62%
node1 28m 2% 469Mi 53%
node2 34m 3% 403Mi 46% ######################################################
自定义指标：prometheus，k8s-prometheus-adapter
注意：prometheus是不能直接解析k8s的指标的，需要借助k8s-prometheus-adapter转换成api
k8s-prometheus-adapter可以直接到node上查询
prometheus是一个非常强大的Restfeel API格式的系统
通过PromQL转化为：Custom Metrics API，Custom Metrics API包含k8s-prometheus-adapter
每一个节点的日志都在节点上
[root@node1 ~]# cd /var/log/containers/
[root@node1 containers]# ls
canal-gnp5r_kube-system_calico-node-147ea4221691816daec058f339ff00955671d8e447ebe80e55db567cfe048b0b.log
canal-gnp5r_kube-system_calico-node-920a4bc03378bb20c9cedad09371f7ca54b7a3a5bbbae9f110398e15dbf2fcb9.log
canal-gnp5r_kube-system_install-cni-19934c343c79ef6e14486f6cdd90c373f53e05af6a7591fab985842ae79fcc40.log
canal-gnp5r_kube-system_install-cni-cc52f958f08409bb0c7dafbd8c246dcf4fe9e7c1291f98d00b3827ebf34f5973.log
canal-gnp5r_kube-system_kube-flannel-0089fda34bbe4bf8d13cd66d5a80fa8282b4528d7ab40b467d68891d7bfbca29.log
canal-gnp5r_kube-system_kube-flannel-c42d355765d21ad0b45a4867790bdb78005058dad90dcd76c6836ffe85570af5.log
kube-flannel-ds-amd64-6ws6q_kube-system_install-cni-c7399a596f6c6903c6bcc34fd1c770791dc21421ed8da6929cb44fd4baaceee6.log
kube-flannel-ds-amd64-6ws6q_kube-system_kube-flannel-95a5f4c7038c7ef20d999b4863e410fd9479913adc146674d9d02c4f467b6671.log
kube-flannel-ds-amd64-6ws6q_kube-system_kube-flannel-c524d27b095f2b9f05bca5d8ba01b3adfa752e4572d02b2ad8f774f211fa979f.log
kube-proxy-x7vc2_kube-system_kube-proxy-50ec6393d30b1e0288780d013a0107a5f68ef75d2a6cf2e6722dd37d86da875a.log
kube-proxy-x7vc2_kube-system_kube-proxy-8949de853f87ec4780c1cde0cac69a34e537180adb8278a03bf50b32718d7843.logprometheus安装配置清单
https://github.com/kubernetes/kubernetes/tree/master/cluster/addons/prometheus
使用马哥修改版的prometheus
git clone https://github.com/jesssecat/k8s-prom.git
创建过程：
1.创建namespace
1.创建namespace
[root@master k8s-prom]# kubectl apply -f namespace.yaml
namespace/prom created
2.安装exporter
[root@master k8s-prom]# cd node_exporter/
[root@master node_exporter]# ls
node-exporter-ds.yaml node-exporter-svc.yaml
[root@master node_exporter]# kubectl apply -f ./
daemonset.apps/prometheus-node-exporter created
service/prometheus-node-exporter created
查看exporter安装成功：
[root@master node_exporter]# kubectl get pods -n prom
NAME READY STATUS RESTARTS AGE
prometheus-node-exporter-4xnhj 1/1 Running 0 2m
prometheus-node-exporter-5z6gd 1/1 Running 0 2m
prometheus-node-exporter-6dwnk 1/1 Running 0 2m3.开始安装prometheus
k8s-prometheus-adapter kube-state-metrics namespace.yaml node_exporter podinfo prometheus README.md
[root@master k8s-prom]# cd prometheus/
[root@master prometheus]# ls
prometheus-cfg.yaml prometheus-deploy.yaml prometheus-rbac.yaml prometheus-svc.yaml
[root@master prometheus]# kubectl apply -f ./
configmap/prometheus-config created
deployment.apps/prometheus-server created
clusterrole.rbac.authorization.k8s.io/prometheus created
serviceaccount/prometheus created
clusterrolebinding.rbac.authorization.k8s.io/prometheus created
service/prometheus created
查看状态：
[root@master prometheus]# kubectl get all -n prom
NAME READY STATUS RESTARTS AGE
pod/prometheus-node-exporter-4xnhj 1/1 Running 0 6m
pod/prometheus-node-exporter-5z6gd 1/1 Running 0 6m
pod/prometheus-node-exporter-6dwnk 1/1 Running 0 6m
pod/prometheus-server-65f5d59585-jr7lx 0/1 Pending 0 2m #没有成功
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 2m
service/prometheus-node-exporter ClusterIP None <none> 9100/TCP 6m
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/prometheus-node-exporter 3 3 3 3 3 <none> 6m
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.apps/prometheus-server 1 1 1 0 2m
NAME DESIRED CURRENT READY AGE
replicaset.apps/prometheus-server-65f5d59585 1 1 0 2m
备注：
service/prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 2m
prometheus是使用的内部端口9090 用NodePort映射到外面30090查看具体原因：
[root@master prometheus]# kubectl describe pod/prometheus-server-65f5d59585-jr7lx -n prom
[root@master prometheus]# kubectl describe pod/prometheus-server-65f5d59585-jr7lx -n prom
Name: prometheus-server-65f5d59585-jr7lx
Namespace: prom
Priority: 0
PriorityClassName: <none>
Node: <none>
Labels: app=prometheus
component=server
pod-template-hash=2191815141
Annotations: prometheus.io/scrape=false
Status: Pending
IP:
Controlled By: ReplicaSet/prometheus-server-65f5d59585
Containers:
prometheus:
Image: prom/prometheus:v2.2.1
Port: 9090/TCP
Host Port: 0/TCP
Command:
prometheus
--config.file=/etc/prometheus/prometheus.yml
--storage.tsdb.path=/prometheus
--storage.tsdb.retention=720h
Limits:
memory: 2Gi
Requests:
memory: 2Gi
Environment: <none>
Mounts:
/etc/prometheus/prometheus.yml from prometheus-config (rw)
/prometheus/ from prometheus-storage-volume (rw)
/var/run/secrets/kubernetes.io/serviceaccount from prometheus-token-rfqgx (ro)
Conditions:
Type Status
PodScheduled False
Volumes:
prometheus-config:
Type: ConfigMap (a volume populated by a ConfigMap)
Name: prometheus-config
Optional: false
prometheus-storage-volume:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
prometheus-token-rfqgx:
Type: Secret (a volume populated by a Secret)
SecretName: prometheus-token-rfqgx
Optional: false
QoS Class: Burstable
Node-Selectors: <none>
Tolerations: node.kubernetes.io/not-ready:NoExecute for 300s
node.kubernetes.io/unreachable:NoExecute for 300s
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedScheduling 4s (x92 over 5m) default-scheduler 0/3 nodes are available: 3 Insufficient memory.
上面最后一行提示：3个节点的内存都不够用的
开始修改内存：
[root@master prometheus]# cat prometheus-deploy.yaml
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: prometheus-server
namespace: prom
labels:
app: prometheus
spec:
replicas: 1
selector:
matchLabels:
app: prometheus
component: server
#matchExpressions:
#- {key: app, operator: In, values: [prometheus]}
#- {key: component, operator: In, values: [server]}
template:
metadata:
labels:
app: prometheus
component: server
annotations:
prometheus.io/scrape: 'false'
spec:
serviceAccountName: prometheus
containers:
- name: prometheus
image: prom/prometheus:v2.2.1
imagePullPolicy: Always
command:
- prometheus
- --config.file=/etc/prometheus/prometheus.yml
- --storage.tsdb.path=/prometheus
- --storage.tsdb.retention=720h
ports:
- containerPort: 9090
protocol: TCP
#resources: #新加
# limits: #新加
# memory: 2Gi #新加
volumeMounts:
- mountPath: /etc/prometheus/prometheus.yml
name: prometheus-config
subPath: prometheus.yml
- mountPath: /prometheus/
name: prometheus-storage-volume
volumes:
- name: prometheus-config
configMap:
name: prometheus-config
items:
- key: prometheus.yml
path: prometheus.yml
mode: 0644
- name: prometheus-storage-volume
emptyDir: {}
再次应用一下：
kubeatl apply -f prometheus-deploy.yaml
[root@master prometheus]# kubectl get pods -n prom
NAME READY STATUS RESTARTS AGE
prometheus-node-exporter-4xnhj 1/1 Running 0 14m
prometheus-node-exporter-5z6gd 1/1 Running 0 14m
prometheus-node-exporter-6dwnk 1/1 Running 0 14m
prometheus-server-7c8554cf-9qfgs 1/1 Running 0 1m #server端正常
查看prometheus日志
[root@master prometheus]# kubectl logs prometheus-server-7c8554cf-9qfgs -n prom
level=info ts=2018-09-20T05:56:40.885481171Z caller=main.go:220 msg="Starting Prometheus" version="(version=2.2.1, branch=HEAD, revision=bc6058c81272a8d938c05e75607371284236aadc)"
level=info ts=2018-09-20T05:56:40.885724431Z caller=main.go:221 build_context="(go=go1.10, user=root@149e5b3f0829, date=20180314-14:15:45)"
level=info ts=2018-09-20T05:56:40.88574749Z caller=main.go:222 host_details="(Linux 3.10.0-862.el7.x86_64 #1 SMP Fri Apr 20 16:44:24 UTC 2018 x86_64 prometheus-server-7c8554cf-9qfgs (none))"
level=info ts=2018-09-20T05:56:40.885759306Z caller=main.go:223 fd_limits="(soft=65536, hard=65536)"
level=info ts=2018-09-20T05:56:40.888318801Z caller=main.go:504 msg="Starting TSDB ..."
level=info ts=2018-09-20T05:56:40.916004469Z caller=web.go:382 component=web msg="Start listening for connections" address=0.0.0.0:9090
level=info ts=2018-09-20T05:56:40.924972171Z caller=main.go:514 msg="TSDB started"
level=info ts=2018-09-20T05:56:40.925004887Z caller=main.go:588 msg="Loading configuration file" filename=/etc/prometheus/prometheus.yml
level=info ts=2018-09-20T05:56:40.926337579Z caller=kubernetes.go:191 component="discovery manager scrape" discovery=k8s msg="Using pod service account via in-cluster config"
level=info ts=2018-09-20T05:56:40.926946893Z caller=kubernetes.go:191 component="discovery manager scrape" discovery=k8s msg="Using pod service account via in-cluster config"
level=info ts=2018-09-20T05:56:40.92744512Z caller=kubernetes.go:191 component="discovery manager scrape" discovery=k8s msg="Using pod service account via in-cluster config"
level=info ts=2018-09-20T05:56:40.928130239Z caller=kubernetes.go:191 component="discovery manager scrape" discovery=k8s msg="Using pod service account via in-cluster config"
level=info ts=2018-09-20T05:56:40.928784939Z caller=kubernetes.go:191 component="discovery manager scrape" discovery=k8s msg="Using pod service account via in-cluster config"
level=info ts=2018-09-20T05:56:40.929518073Z caller=main.go:491 msg="Server is ready to receive web requests." #web端已经准备好
打开web界面开始访问：
http://192.168.68.30:30090/graph
可以正常访问
4.开始部署kube-state-metrics
[root@master kube-state-metrics]# ls
kube-state-metrics-deploy.yaml kube-state-metrics-rbac.yaml kube-state-metrics-svc.yaml
主要作用是：把监控数据转换成k8s可以识别的格式
[root@master kube-state-metrics]# kubectl apply -f ./
deployment.apps/kube-state-metrics created
serviceaccount/kube-state-metrics created
clusterrole.rbac.authorization.k8s.io/kube-state-metrics created
clusterrolebinding.rbac.authorization.k8s.io/kube-state-metrics created
service/kube-state-metrics created
查看状态：
[root@master kube-state-metrics]# kubectl get all -n prom
NAME READY STATUS RESTARTS AGE
pod/kube-state-metrics-58dffdf67d-mwfz9 1/1 Running 0 1m
pod/prometheus-node-exporter-4xnhj 1/1 Running 0 24m
pod/prometheus-node-exporter-5z6gd 1/1 Running 0 24m
pod/prometheus-node-exporter-6dwnk 1/1 Running 0 24m
pod/prometheus-server-7c8554cf-9qfgs 1/1 Running 0 11m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kube-state-metrics ClusterIP 10.105.236.184 <none> 8080/TCP 1m
service/prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 20m
service/prometheus-node-exporter ClusterIP None <none> 9100/TCP 24m
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/prometheus-node-exporter 3 3 3 3 3 <none> 24m
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.apps/kube-state-metrics 1 1 1 1 1m
deployment.apps/prometheus-server 1 1 1 1 20m
NAME DESIRED CURRENT READY AGE
replicaset.apps/kube-state-metrics-58dffdf67d 1 1 1 1m
replicaset.apps/prometheus-server-65f5d59585 0 0 0 20m
replicaset.apps/prometheus-server-7c8554cf 1 1 1 11m5.开始部署k8s-prometheus-adapter
[root@master k8s-prom]# cd k8s-prometheus-adapter/
[root@master k8s-prometheus-adapter]# ls
custom-metrics-apiserver-auth-delegator-cluster-role-binding.yaml custom-metrics-apiserver-service.yaml
custom-metrics-apiserver-auth-reader-role-binding.yaml custom-metrics-apiservice.yaml
custom-metrics-apiserver-deployment.yaml custom-metrics-cluster-role.yaml
custom-metrics-apiserver-resource-reader-cluster-role-binding.yaml custom-metrics-resource-reader-cluster-role.yaml
custom-metrics-apiserver-service-account.yaml hpa-custom-metrics-cluster-role-binding.yaml
注意：
在cat custom-metrics-apiserver-deployment.yaml中需要一个证书：
secret:
secretName: cm-adapter-serving-certs #需要创建后的证书修改成这个名字
开始生成证书：
新开窗口：
[root@master ~]# cd /etc/kubernetes/pki/
[root@master pki]# ls
apiserver.crt apiserver.key ca.crt dashboard.crt etcd front-proxy-client.crt jesse.csr sa.pub
apiserver-etcd-client.crt apiserver-kubelet-client.crt ca.key dashboard.csr front-proxy-ca.crt front-proxy-client.key jesse.key
apiserver-etcd-client.key apiserver-kubelet-client.key ca.srl dashboard.key front-proxy-ca.key jesse.crt sa.key
[root@master pki]# (umask 077; openssl genrsa -out serving.key 2048)
Generating RSA private key, 2048 bit long modulus
..+++
..........................................+++
e is 65537 (0x10001)
[root@master pki]# ls
apiserver.crt apiserver.key ca.crt dashboard.crt etcd front-proxy-client.crt jesse.csr sa.pub
apiserver-etcd-client.crt apiserver-kubelet-client.crt ca.key dashboard.csr front-proxy-ca.crt front-proxy-client.key jesse.key serving.key
apiserver-etcd-client.key apiserver-kubelet-client.key ca.srl dashboard.key front-proxy-ca.key jesse.crt sa.key
开始证书签署请求：
[root@master pki]# openssl req -new -key serving.key -out serving.csr -subj "/CN=serving"
[root@master pki]# openssl x509 -req -in serving.csr -CA ./ca.crt -CAkey ./ca.key -CAcreateserial -out serving.crt -days 3650
Signature ok
subject=/CN=serving
Getting CA Private Key
发现生成：serving.key，serving.crt，serving.csr
开始创建secret：
kubectl create secret generic cm-adapter-serving-certs --from-file=serving.crt=./serving.crt --from-file=serving.key=./serving.key -n prom
[root@master pki]# kubectl create secret generic cm-adapter-serving-certs --from-file=serving.crt=./serving.crt --from-file=serving.key=./serving.key -n prom
secret/cm-adapter-serving-certs created
查看一下是否在prom名称空间里：
[root@master pki]# kubectl get secret -n prom
NAME TYPE DATA AGE
cm-adapter-serving-certs Opaque 2 1m #说明创建成功
default-token-h6ljh kubernetes.io/service-account-token 3 1h
kube-state-metrics-token-dbq2z kubernetes.io/service-account-token 3 39m
prometheus-token-rfqgx kubernetes.io/service-account-token 3 58m6.开始安装k8s-prometheus-adapter
[root@master k8s-prometheus-adapter]# ls
custom-metrics-apiserver-auth-delegator-cluster-role-binding.yaml custom-metrics-apiserver-service.yaml
custom-metrics-apiserver-auth-reader-role-binding.yaml custom-metrics-apiservice.yaml
custom-metrics-apiserver-deployment.yaml custom-metrics-cluster-role.yaml
custom-metrics-apiserver-resource-reader-cluster-role-binding.yaml custom-metrics-resource-reader-cluster-role.yaml
custom-metrics-apiserver-service-account.yaml hpa-custom-metrics-cluster-role-binding.yaml
[root@master k8s-prometheus-adapter]# kubectl apply -f ./
clusterrolebinding.rbac.authorization.k8s.io/custom-metrics:system:auth-delegator created
rolebinding.rbac.authorization.k8s.io/custom-metrics-auth-reader created
deployment.apps/custom-metrics-apiserver created
clusterrolebinding.rbac.authorization.k8s.io/custom-metrics-resource-reader created
serviceaccount/custom-metrics-apiserver created
service/custom-metrics-apiserver created
apiservice.apiregistration.k8s.io/v1beta1.custom.metrics.k8s.io created
clusterrole.rbac.authorization.k8s.io/custom-metrics-server-resources created
clusterrole.rbac.authorization.k8s.io/custom-metrics-resource-reader created
clusterrolebinding.rbac.authorization.k8s.io/hpa-controller-custom-metrics created
查看创建：
[root@master k8s-prometheus-adapter]# kubectl get all -n prom
NAME READY STATUS RESTARTS AGE
pod/custom-metrics-apiserver-5f6b4d857d-m42z2 0/1 Error 2 1m #创建失败
pod/kube-state-metrics-58dffdf67d-mwfz9 1/1 Running 0 42m
pod/prometheus-node-exporter-4xnhj 1/1 Running 0 1h
pod/prometheus-node-exporter-5z6gd 1/1 Running 0 1h
pod/prometheus-node-exporter-6dwnk 1/1 Running 0 1h
pod/prometheus-server-7c8554cf-9qfgs 1/1 Running 0 52m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/custom-metrics-apiserver ClusterIP 10.103.178.155 <none> 443/TCP 1m
service/kube-state-metrics ClusterIP 10.105.236.184 <none> 8080/TCP 42m
service/prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 1h
service/prometheus-node-exporter ClusterIP None <none> 9100/TCP 1h
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/prometheus-node-exporter 3 3 3 3 3 <none> 1h
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.apps/custom-metrics-apiserver 1 1 1 0 1m
deployment.apps/kube-state-metrics 1 1 1 1 42m
deployment.apps/prometheus-server 1 1 1 1 1h
NAME DESIRED CURRENT READY AGE
replicaset.apps/custom-metrics-apiserver-5f6b4d857d 1 1 0 1m
replicaset.apps/kube-state-metrics-58dffdf67d 1 1 1 42m
replicaset.apps/prometheus-server-65f5d59585 0 0 0 1h
replicaset.apps/prometheus-server-7c8554cf 1 1 1 52m
查看错误日志：
kubectl logs pod/custom-metrics-apiserver-5f6b4d857d-m42z2 -n prom
panic: unknown flag: --rate-interval #错误
goroutine 1 [running]:
main.main()
/go/src/github.com/directxman12/k8s-prometheus-adapter/cmd/adapter/adapter.go:41 +0x13b
因为配置文件的信息发生变化，所有在作者github上查找
https://github.com/DirectXMan12/k8s-prometheus-adapter/blob/master/deploy/manifests/custom-metrics-apiserver-deployment.yaml
原有文件改名备份：
[root@master k8s-prometheus-adapter]# mv custom-metrics-apiserver-deployment.yaml{,.bak}
下载新文件：
wget https://raw.githubusercontent.com/DirectXMan12/k8s-prometheus-adapter/master/deploy/manifests/custom-metrics-apiserver-deployment.yaml
编辑配置文件
vim custom-metrics-apiserver-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: custom-metrics-apiserver
name: custom-metrics-apiserver
namespace: prom #把名字改成prom
wget https://raw.githubusercontent.com/DirectXMan12/k8s-prometheus-adapter/master/deploy/manifests/custom-metrics-config-map.yaml
vim custom-metrics-config-map.yaml
修改命名空间：
apiVersion: v1
kind: ConfigMap
metadata:
name: adapter-config
namespace: prom
###############################
删除之后再重新开始创建
[root@master k8s-prometheus-adapter]# kubectl delete -f custom-metrics-apiserver-deployment.yaml
deployment.apps "custom-metrics-apiserver" deleted
[root@master k8s-prometheus-adapter]# kubectl apply -f custom-metrics-apiserver-deployment.yaml
deployment.apps/custom-metrics-apiserver created
[root@master k8s-prometheus-adapter]# kubectl apply -f custom-metrics-config-map.yaml
configmap/adapter-config created
###################################
查看是否创建成功
[root@master k8s-prometheus-adapter]# kubectl get all -n prom
NAME READY STATUS RESTARTS AGE
pod/custom-metrics-apiserver-65f545496-crxtl 1/1 Running 0 1m #成功
pod/kube-state-metrics-58dffdf67d-mwfz9 1/1 Running 0 1h
pod/prometheus-node-exporter-4xnhj 1/1 Running 0 1h
pod/prometheus-node-exporter-5z6gd 1/1 Running 0 1h
pod/prometheus-node-exporter-6dwnk 1/1 Running 0 1h
pod/prometheus-server-7c8554cf-9qfgs 1/1 Running 0 1h
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/custom-metrics-apiserver ClusterIP 10.103.178.155 <none> 443/TCP 32m
service/kube-state-metrics ClusterIP 10.105.236.184 <none> 8080/TCP 1h
service/prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 1h
service/prometheus-node-exporter ClusterIP None <none> 9100/TCP 1h
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/prometheus-node-exporter 3 3 3 3 3 <none> 1h
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.apps/custom-metrics-apiserver 1 1 1 1 1m
deployment.apps/kube-state-metrics 1 1 1 1 1h
deployment.apps/prometheus-server 1 1 1 1 1h
NAME DESIRED CURRENT READY AGE
replicaset.apps/custom-metrics-apiserver-65f545496 1 1 1 1m
replicaset.apps/kube-state-metrics-58dffdf67d 1 1 1 1h
replicaset.apps/prometheus-server-65f5d59585 0 0 0 1h
replicaset.apps/prometheus-server-7c8554cf 1 1 1 1h
查看是否加入：kubectl api-versions
[root@master k8s-prometheus-adapter]# kubectl api-versions
admissionregistration.k8s.io/v1beta1
apiextensions.k8s.io/v1beta1
apiregistration.k8s.io/v1
apiregistration.k8s.io/v1beta1
apps/v1
apps/v1beta1
apps/v1beta2
authentication.k8s.io/v1
authentication.k8s.io/v1beta1
authorization.k8s.io/v1
authorization.k8s.io/v1beta1
autoscaling/v1
autoscaling/v2beta1
batch/v1
batch/v1beta1
certificates.k8s.io/v1beta1
crd.projectcalico.org/v1
custom.metrics.k8s.io/v1beta1 #创建成功，它融合了很多的新功能
events.k8s.io/v1beta1
extensions/v1beta1
metrics.k8s.io/v1beta1
networking.k8s.io/v1
policy/v1beta1
rbac.authorization.k8s.io/v1
rbac.authorization.k8s.io/v1beta1
scheduling.k8s.io/v1beta1
storage.k8s.io/v1
storage.k8s.io/v1beta1
v1测试一下：
[root@master k8s-prometheus-adapter]# curl http://localhost:8080/apis/custom.metrics.k8s.io/
[root@master k8s-prometheus-adapter]# curl http://localhost:8080/apis/custom.metrics.k8s.io/
{
"kind": "APIGroup",
"apiVersion": "v1",
"name": "custom.metrics.k8s.io",
"versions": [
{
"groupVersion": "custom.metrics.k8s.io/v1beta1",
"version": "v1beta1"
}
],
"preferredVersion": {
"groupVersion": "custom.metrics.k8s.io/v1beta1",
"version": "v1beta1"
}
}[root@master k8s-prometheus-adapter]# curl http://localhost:8080/apis/custom.metrics.k8s.io/v1beta1/
{
"kind": "APIResourceList",
"apiVersion": "v1",
"groupVersion": "custom.metrics.k8s.io/v1beta1",
"resources": []
###########
开始安装Grafana
[root@master k8s-prom]# cat grafana.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: monitoring-grafana
namespace: prom
spec:
replicas: 1
selector:
matchLabels: #新加
task: monitoring #新加
k8s-app: grafana #新加
template:
metadata:
labels:
task: monitoring
k8s-app: grafana
spec:
containers:
- name: grafana
image: k8s.gcr.io/heapster-grafana-amd64:v5.0.4
ports:
- containerPort: 3000
protocol: TCP
volumeMounts:
- mountPath: /etc/ssl/certs
name: ca-certificates
readOnly: true
- mountPath: /var
name: grafana-storage
env:
#- name: INFLUXDB_HOST
# value: monitoring-influxdb
- name: GF_SERVER_HTTP_PORT
value: "3000"
# The following env variables are required to make Grafana accessible via
# the kubernetes api-server proxy. On production clusters, we recommend
# removing these env variables, setup auth for grafana, and expose the grafana
# service using a LoadBalancer or a public IP.
- name: GF_AUTH_BASIC_ENABLED
value: "false"
- name: GF_AUTH_ANONYMOUS_ENABLED
value: "true"
- name: GF_AUTH_ANONYMOUS_ORG_ROLE
value: Admin
- name: GF_SERVER_ROOT_URL
# If you're only using the API Server proxy, set this value instead:
# value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
value: /
volumes:
- name: ca-certificates
hostPath:
path: /etc/ssl/certs
- name: grafana-storage
emptyDir: {}
---
apiVersion: v1
kind: Service
metadata:
labels:
# For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
# If you are NOT using this as an addon, you should comment out this line.
kubernetes.io/cluster-service: 'true'
kubernetes.io/name: monitoring-grafana
name: monitoring-grafana
namespace: prom
spec:
# In a production setup, we recommend accessing Grafana through an external Loadbalancer
# or through a public IP.
# type: LoadBalancer
# You could also use NodePort to expose the service at a randomly-generated port
# type: NodePort
ports:
- port: 80
targetPort: 3000
selector:
k8s-app: grafana
type: NodePort #新加
kubectl apply -f grafana.yaml
[root@master k8s-prom]# kubectl get pods -n prom
NAME READY STATUS RESTARTS AGE
custom-metrics-apiserver-65f545496-crxtl 1/1 Running 0 37m
kube-state-metrics-58dffdf67d-mwfz9 1/1 Running 0 1h
monitoring-grafana-ffb4d59bd-bbff5 1/1 Running 0 3m
prometheus-node-exporter-4xnhj 1/1 Running 0 2h
prometheus-node-exporter-5z6gd 1/1 Running 0 2h
prometheus-node-exporter-6dwnk 1/1 Running 0 2h
prometheus-server-7c8554cf-9qfgs 1/1 Running 0 1h
查看svc
[root@master k8s-prom]# kubectl get svc -n prom
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
custom-metrics-apiserver ClusterIP 10.103.178.155 <none> 443/TCP 1h
kube-state-metrics ClusterIP 10.105.236.184 <none> 8080/TCP 1h
monitoring-grafana NodePort 10.104.15.0 <none> 80:32024/TCP 5m
prometheus NodePort 10.100.160.51 <none> 9090:30090/TCP 2h
prometheus-node-exporter ClusterIP None <none> 9100/TCP 2h
输入地址http://192.168.68.30:32024/就可以访问
