标签：service 推送 mic top命令 tps sub 容器 str objects
kubernetes早期版本依靠Heapster来实现完整的性能数据采集和监控功能，k8s在1.8版本开始，性能数据开始以Metrics API的方式提供标准化接口，并且从1.10版本开始讲Heapster替换为Metrics Server，在新版本的Metrics当中可以对Node，Pod的cpu，内存的使用指标进行监控
我们可以先在k8s集群当中用kubectl top命令去尝试查看资源使用率，如下：
可以看到并不能查看资源，这是因为没有安装Metrics
[root@master redis]# kubectl top nodes Error from server (NotFound): the server could not find the requested resource (get services http:heapster:)
Metrics部署文件在github上可以找到，如下：
我们点进去然后把它的代码下载下来
[root@master test]# git clone https://github.com/kubernetes-sigs/metrics-server.git 正克隆到 ‘metrics-server‘... remote: Enumerating objects: 53, done. remote: Counting objects: 100% (53/53), done. remote: Compressing objects: 100% (43/43), done. remote: Total 11755 (delta 12), reused 27 (delta 3), pack-reused 11702 接收对象中: 100% (11755/11755), 12.35 MiB | 134.00 KiB/s, done. 处理 delta 中: 100% (6113/6113), done.
进入部署代码目录
[root@master test]# cd metrics-server/deploy/kubernetes/
在metrics-server-deployment.yaml 我们需要添加如下4行内容
开始部署文件
[root@master kubernetes]# kubectl apply -f . clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created serviceaccount/metrics-server created deployment.apps/metrics-server created service/metrics-server created clusterrole.rbac.authorization.k8s.io/system:metrics-server created clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created
查看metrics pod的状态
查看api
我们可以用kubectl proxy来尝试访问这个新的api
没有任何问题，接下来我们在去尝试用kubectl top命令，可以看到已经可以正常使用了
Prometheus是有SoundCloud公司开发的开源监控系统，是继kubernetes之后CNCF第二个毕业项目，在容器和微服务领域得到了广泛应用，Prometheus有以下特点：
prometheus架构图
开始部署第一步
1.下载文件到本地
[root@master test]# git clone https://github.com/iKubernetes/k8s-prom.git 正克隆到 ‘k8s-prom‘... remote: Enumerating objects: 49, done. remote: Total 49 (delta 0), reused 0 (delta 0), pack-reused 49 Unpacking objects: 100% (49/49), done.
2.创建名称空间
[root@master k8s-prom]# kubectl apply -f namespace.yaml
namespace/prom created
3.部署k8s-prom中的node_exporter/中的yaml文件来让prometheus获取数据
[root@master k8s-prom]# kubectl apply -f node_exporter/ daemonset.apps/prometheus-node-exporter created service/prometheus-node-exporter created
4.部署prometheus/中的yaml文件
[root@master k8s-prom]# kubectl apply -f prometheus/
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
5.部署k8s-prom中的k8s-prometheus-adapter/中的文件，但是由于这个文件中用的是http协议，但是我们k8s当中用的是https协议，所以在部署前需要创建秘钥
[root@master k8s-prom]# cd /etc/kubernetes/pki/ [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]# 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 [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
6.部署k8s-prom中的k8s-prometheus-adapter/中的文件
[root@master k8s-prom]# kubectl apply -f k8s-prometheus-adapter/ 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 configmap/adapter-config created clusterrole.rbac.authorization.k8s.io/custom-metrics-resource-reader created clusterrolebinding.rbac.authorization.k8s.io/hpa-controller-custom-metrics created
7.部署kube-state-metrics中的yaml文件
[root@master k8s-prom]# kubectl apply -f kube-state-metrics/
8.部署grafana.yaml文件
[root@master k8s-prom]# kubectl apply -f grafana.yaml deployment.apps/monitoring-grafana created service/monitoring-grafana created
9.验证各个pod运行无误
[root@master k8s-prom]# kubectl get ns NAME STATUS AGE default Active 19h kube-node-lease Active 19h kube-public Active 19h kube-system Active 19h prom Active 10m [root@master k8s-prom]# kubectl get pods -n prom NAME READY STATUS RESTARTS AGE custom-metrics-apiserver-7666fc78cc-xlnzn 1/1 Running 0 3m25s monitoring-grafana-846dd49bdb-8gpkw 1/1 Running 0 61s prometheus-node-exporter-45qxt 1/1 Running 0 8m28s prometheus-node-exporter-6mhwn 1/1 Running 0 8m28s prometheus-node-exporter-k6d7m 1/1 Running 0 8m28s prometheus-server-69b544ff5b-9mk9x 1/1 Running 0 107s [root@master k8s-prom]# kubectl get svc -n prom NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE custom-metrics-apiserver ClusterIP 10.98.67.254 <none> 443/TCP 4m2s monitoring-grafana NodePort 10.102.49.116 <none> 80:30080/TCP 97s prometheus NodePort 10.107.21.128 <none> 9090:30090/TCP 2m24s prometheus-node-exporter ClusterIP None <none> 9100/TCP 9m5s
10.打开浏览器
配置为
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标签：service 推送 mic top命令 tps sub 容器 str objects
原文地址：https://www.cnblogs.com/fengzi7314/p/12494298.html
