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\t
The exam voucher will be provided to you after you have completed the course. Self-paced online student\u2019s vouchers will be assigned through the Learning Plan within 24-hours after the completion of the course.<\/span><\/em><\/p>\t<\/li>\t
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You must complete the course between June 14, 2022 and August 16, 2022.\u00a0<\/span><\/em><\/p>\t<\/li>\t
\t
For online students, your exam voucher must be redeemed by 8\/23\/22. For instructor-led students, your exam voucher must be redeemed 6 months after you complete the course.\u00a0<\/span><\/em><\/p>\t<\/li>\t
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The exam voucher code can only be used once.<\/span><\/em><\/p>\t<\/li>\t
\t
You will receive one (1) NCP exam voucher for each class completed. The voucher can be used on any NCP exam.\u00a0\u00a0<\/span><\/em><\/p>\t<\/li><\/ul>
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This article was written by Karlie Beil, Customer Marketing Specialist.\u00a0<\/p><\/div><\/div><\/section>
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17天前

社区

混合云基础架构

Karbon Kubernetes编排

在Nutanix Karbon上部署Prometheus

在Nutanix Karbon上部署Prometheus

3年前
2018年11月17日

1回复

1616次观点

winson_sou

旅行者

1回复

这是有关使用Nutanix Karbon部署监视插件的三部分博客文章的第一篇。

Nutanix Karbon是一种精心策划的交钥匙产品，可提供简化的Kubernetes簇的配置和操作。Kubernetes是一种开源容器编排系统，用于部署和管理基于容器的应用程序。

2018年10月，AOS 5.9和Prism Central 5.9推出后，Karbon在Tech-Preview发行。

我们收到了客户，合作伙伴和同伴的几个疑问，他们重视我们为Kubernetes带来的简单性，但他们发现很难理解集群的行为以及封面下的情况。

进入普罗米修斯（也称为舞会或P8）。

Prometheus是由SoundCloud团队建造的开源监控工具，它受到Google的启发Borgmon，它是从第一天设计的，用于分配和管理工作单位的Kubernetes模型。Prometheus具有用于临时可视化的表达浏览器，但是，Grafana通常用作Prometheus顶部的可视化仪表板。

在牢记karbon群集被部署时，请记住Prometheus和Grafana将来将作为附加组件（Post GA）包括在内。在这篇文章中，我将带领您浏览使用Helm和Prometheus操作员在Nutanix Karbon上部署Prometheus + Grafana所需的步骤。这些步骤也可以用于在香草库伯尼特集群上部署Prometheus。:)

开始吧。

先决条件：

具有Internet连接的工作Karbon群集。我使用了Kubernetes 1.10.3。

kubectl使用配置的kubeconfig安装在笔记本电脑上。

这些将是我们将在高水平上执行的步骤。

安装头盔
创建RBAC群集角色
创建服务帐户
配置群集角色绑定到服务帐户
下载并安装头盔
初始化头盔

使用头盔安装Prometheus操作员
添加coreos repo
安装Prometheus操作员
安装普罗米修斯表现
暴露于docess grafana。

安装头盔
Helm是Kubernetes软件包管理器，它使用Helm Charts来帮助您定义，安装和升级为Kubernetes构建的应用程序。

让我们继续安装头盔。

让我们首先创建一个RBAC群集角色。

使用kubectl连接到您的karbon群集，然后应用以下清单。以下清单创建了一个称为“头盔”的聚类，并分配了RBAC权限。注意：这些权限实质上允许完全访问整个Karbon Kubernetes群集，因此请谨慎使用。不建议生产。对于生产使用，我们建议以更严格的方式对RBAC规则进行审查。 @Josenutanix将来将以更安全的方式分享以耕种方式使用舵的方式。

使用您喜欢的文本编辑器，将以下清单保存为Helmrole.yaml

代码：
apiversion：rbac.authorization.k8s.io/v1
KIND：聚类
元数据：
CreationTimestamp：null
名称：头盔
注释：
rbac.authorization.kubernetes.io/autoupdate：“ true”
规则：
-Apigroups：
- “*”
资源：
- “*”
动词：
- “*”
- 非养分量：
- “*”
动词：
- “*”

完成此操作后，请使用Kubectl将清单应用于Karbon群集。

代码：

代码：
kubectl应用-f helmrole.yaml

一旦创建了聚类，我们的下一步就是创建一个供helm使用的ServiceAccount。以下清单在Kube-System名称空间中创建了一个名为“ Helm”的ServiceAccount。

使用您喜欢的文本编辑器，将以下清单保存为Helmservice.yaml

代码：
apiversion：v1
善良：ServiceAccount
元数据：
名称：舵
名称空间：Kube-System

完成此操作后，请使用Kubectl将清单应用于Karbon群集。

代码：

代码：
kubectl应用-f Helmservice.yaml

一旦创建了ServiceAccount，我们的下一步就是创建一个群集，以将簇的簇绑定到ServiceAccount。以下清单创建了“头盔”簇的绑定到“舵” ServiceAccount。

使用您喜欢的文本编辑器，将以下清单保存为Helmbinding.yaml

代码：
apiversion：rbac.authorization.k8s.io/v1beta1
类型：簇束
元数据：
名称：舵
名称空间：Kube-System
ROLEREF：
Apigroup：rbac.authorization.k8s.io
KIND：聚类
名称：头盔
主题：
- 善良：ServiceAccount
名称：舵
名称空间：Kube-System

完成此操作后，请使用Kubectl将清单应用于Karbon群集。

代码：

代码：
kubectl应用-f Helmbinding.yaml

既然我们已经创建并配置了Clusterrole，ServiceAccount和ClusterRolebinding，我们可以继续下载和安装Helm。

从您的终端执行以下操作。它将下载Helm Installer脚本。

代码：

代码：
curl https://raw.githubusercontent.com/helm/helm/helm/master/scripts/get> get_helm.sh

接下来，让我们更改get_helm.sh文件的权限，以便我们拥有执行它的权限。

从您的终端执行以下操作。

代码：

代码：
Chmod 700 get_helm.sh

现在，让我们执行get_helm.sh下载并安装Helm。

从您的终端执行以下操作。

代码：

代码：
./get_helm.sh

下载并安装后，我们现在需要初始化Helm并使用我们之前创建的ServiceAccount。

从您的终端执行以下操作。

代码：

代码：
掌舵初始化-Service-Account Helm

恭喜！现在，您在Karbon群集上安装了头盔。让我们继续下一步。

部署Prometheus操作员

首先，让我们将CoreOS Helm存储库添加到掌舵中。执行以下内容以添加存储库。

代码：

代码：
Helm Repo添加CoreOS https://s3-eu-west-1.amazonaws.com/coreos-charts/stable/

现在添加了存储库，我们可以继续部署Prometheus操作员。

以下赫尔姆命令将在命名空间中的kubernetes群集上部署Prometheus操作员

代码：

代码：
Helm install install coreos/prometheus-operator-名称Prometheus-operator-Namespace监视

完毕！现在部署了普罗米修斯。容易吧？在我们访问仪表板之前，需要再进行2个步骤。

首先，让我们部署Kube-Prometheus Helm图表为我们配置Prometheus和Grafana。

执行以下头盔命令

代码：

代码：
Helm install install coreos/kube-prometheus-名称kube-prometheus -set global.rbacenable = true -namespace监视

现在，我们已经配置了Prometheus和Grafana。让我们向我们访问访问grafana的一个点头。

以下清单将在端口30900上创建NodePort服务。

使用您喜欢的文本编辑器，将以下清单保存为grafanaservice.yaml

代码：
apiversion：v1
善良：服务
元数据：
名称：grafana-node-svc
名称空间：监视
规格：
类型：nodeport
端口：
- 名称：网络
NodePort：30900
端口：3000
协议：TCP
TargetPort：Web
选择器：
应用：Kube-Prometheus-Grafana

完成此操作后，请使用Kubectl将清单应用于Karbon群集。

代码：

代码：
kubectl应用-f grafanaservice.yaml

现在，我们已经部署了Prometheus和Grafana，nodeport向Grafana展示了30900。让我们继续访问Grafana。

访问Grafana
您可以通过导航到https：// nodeip是任何karbon/kubernetes工人节点的IP地址来访问Grafana仪表板。

您可以使用PRISM检查IP地址或运行以下kubectl命令。

代码：

代码：
kubectl get nodes -o jsonpath ='{。项}']。status.addresses [？（@type ==“ internalip”）]。地址}

现在，我们可以通过启动您喜欢的网络浏览器并导航到http：// nodeip：30900

就我而言，我的nodeip是10.139.76.251，所以我只是导航到http://10.139.76.251：30900

在这里，我们看到了Grafana仪表板的主页

我们可以单击“家庭图标”以获取可用的预种子仪表板的列表。

这是Kubernetes能力规划仪表板的样本。

希望这有用。我将通过将来使用Tillerless的步骤来更新此帖子。

在我的下一篇文章中，我将分享如何在Karbon集群上部署Nutanix时代。

Nutanix Epoch是一种应用程序跟踪和性能监控工具。它具有执行运行的应用程序或微服务的应用程序的能力。它围绕Google的4个黄金信号的原理，即延迟，流量，错误和饱和度。Epoch可以部署在Karbon或Vanilla Kubernetes群集上，以监控健康状况，并绘制应用程序的依赖性以及在服务开始发生或应用程序停止工作时为客户提供洞察力的能力。

学分：丹尼斯·盖迪恩（Denis Guyadeen），何塞·戈麦斯（Jose Gomez）提供了这篇博客文章的帮助。

AHV

格拉法纳

普罗米修斯

\r\n
\r\nNutanix Karbon is a curated turnkey offering that provides simplified provisioning and operations of Kubernetes clusters. Kubernetes is an open-source container orchestration system for deploying and managing container-based applications.
\r\n
\r\nKarbon was released in Tech-Preview after the launch of AOS 5.9 and Prism Central 5.9 in October 2018.
\r\n
\r\nWe\u2019ve received several queries from our customers, partners and peers alike who value the simplicity that we bring to the table for Kubernetes, but they find it hard to understand how the cluster is behaving and what is going on under the covers.
\r\n
\r\nEnter Prometheus<\/a> (also known as Prom or P8s).
\r\n
\r\nPrometheus is an open-source monitoring tool that was built by a team at SoundCloud and it was inspired by Google\u2019s Borgmon<\/i>, it was designed from day one for the Kubernetes model of assigning and managing units of work. Prometheus has an expression browser for ad hoc visualization, However, Grafana is typically used as a visualization dashboard on top of Prometheus.
\r\n
\r\nWhile keeping in mind that Prometheus and Grafana will be included as an add-on in the future (Post GA) when a Karbon Cluster gets deployed. In this post I will walk you through the steps required to deploy Prometheus + Grafana on Nutanix Karbon using Helm and the Prometheus Operator. These steps can also be used to deploy Prometheus on a Vanilla Kubernetes cluster as well. :)
\r\n
\r\nLet\u2019s start.
\r\n
\r\nPre-requisites:<\/b>
\r\n
\r\n
A working Karbon Cluster with an internet connection. I used Kubernetes 1.10.3. \r\n
kubectl<\/b> installed on your laptop with kubeconfig configured. \r\n<\/ul>\r\nThese will be the steps that we will be performing at a high level.
\r\n
\r\nInstall Helm<\/b>
\r\nCreate RBAC Cluster Role
\r\nCreate Service Account
\r\nConfigure Cluster Role bindings to Service Account
\r\nDownload and Install Helm
\r\nInitialize Helm
\r\n
\r\nInstall Prometheus Operator using Helm<\/b>
\r\nAdd CoreOS Repo
\r\nInstall Prometheus Operator
\r\nInstall Prometheus manifests
\r\nExpose a NodePort to access Grafana.
\r\n
\r\nInstalling Helm<\/b>
\r\nHelm is a Kubernetes Package Manager which uses Helm Charts to help you define, install and upgrade applications which were built for Kubernetes.
\r\n
\r\nLets go ahead and install Helm.
\r\n
\r\nLet\u2019s first create a RBAC Cluster Role.
\r\n
\r\nUse Kubectl to connect to your Karbon Cluster then apply the following Manifest. The following manifest creates a ClusterRole called \u201cHelmRole\u201d and assigns the role RBAC permissions. Note: These permissions essentially allow full access to the entire Karbon Kubernetes Cluster, hence use it with caution. Not recommended for production. For production use we recommend the RBAC rules be reviewed in a more stringent manner. @JoseNutanix<\/user-mention> will share on a more secure manner for using Helm in a Tillerless fashion in the future.
\r\n
\r\nUsing your favorite text editor, save the following manifest as helmrole.yaml
\r\n
\r\n
code:<\/b>apiVersion: rbac.authorization.k8s.io\/v1
kind: ClusterRole
metadata:
creationTimestamp: null
name: HelmRole
annotations:
rbac.authorization.kubernetes.io\/autoupdate: \"true\"
rules:
- apiGroups:
- \"*\"
resources:
- \"*\"
verbs:
- \"*\"
- nonResourceURLs:
- \"*\"
verbs:
- \"*\"<\/pre><\/div>
\r\n
\r\nOnce that\u2019s done, use kubectl to apply the manifest to the Karbon Cluster.
\r\n
\r\nCode:
\r\n
code:<\/b>kubectl apply -f helmrole.yaml
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nOnce the ClusterRole has been created, our next step is to create a ServiceAccount for Helm to use. The following Manifest creates a ServiceAccount called \u201chelm\u201d in the kube-system namespace.
\r\n
\r\nUsing your favorite text editor, save the following manifest as helmservice.yaml
\r\n
\r\n
code:<\/b>apiVersion: v1
kind: ServiceAccount
metadata:
name: helm
namespace: kube-system<\/pre><\/div>
\r\n
\r\nOnce that\u2019s done, use kubectl to apply the manifest to the Karbon Cluster.
\r\n
\r\nCode:
\r\n
code:<\/b>kubectl apply -f helmservice.yaml
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nOnce the ServiceAccount has been created, our next step is to create a ClusterRoleBinding to bind the ClusterRole to the ServiceAccount. The following Manifest creates a binding of the \u201cHelmRole\u201d ClusterRole to the \u201chelm\u201d ServiceAccount.
\r\n
\r\nUsing your favourite text editor, save the following manifest as helmbinding.yaml
\r\n
\r\n
code:<\/b>apiVersion: rbac.authorization.k8s.io\/v1beta1
kind: ClusterRoleBinding
metadata:
name: helm
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: HelmRole
subjects:
- kind: ServiceAccount
name: helm
namespace: kube-system<\/pre><\/div>
\r\n
\r\nOnce that\u2019s done, use kubectl to apply the manifest to the Karbon Cluster.
\r\n
\r\nCode:
\r\n
code:<\/b>kubectl apply -f helmbinding.yaml
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nNow that we have created and configured the ClusterRole, ServiceAccount and ClusterRoleBinding, we can go ahead to download and install Helm.
\r\n
\r\nExecute the following from your terminal. It will download the Helm Installer script.
\r\n
\r\nCode:
\r\n
code:<\/b>curl https:\/\/raw.githubusercontent.com\/helm\/helm\/master\/scripts\/get > get_helm.sh
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nNext, Let change the permissions of the get_helm.sh file so that we will have permissions to execute it.
\r\n
\r\nExecute the following from your terminal.
\r\n
\r\nCode:
\r\n
code:<\/b>chmod 700 get_helm.sh
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nNow lets execute get_helm.sh to download and install Helm.
\r\n
\r\nExecute the following from your terminal.
\r\n
\r\nCode:
\r\n
code:<\/b>.\/get_helm.sh
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nOnce downloaded and installed, we now need to initialize Helm and to use the ServiceAccount we created earlier.
\r\n
\r\nExecute the following from your terminal.
\r\n
\r\nCode:
\r\n
code:<\/b>helm init --service-account helm
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nCongratulations! You now have Helm installed on your Karbon Cluster. Lets move on to the next step.
\r\n
\r\nDeploying the Prometheus Operator<\/b>
\r\n
\r\nFirst, lets add the CoreOS Helm repository into Helm. Execute the following to add the repository.
\r\n
\r\nCode:
\r\n
code:<\/b>helm repo add coreos https:\/\/s3-eu-west-1.amazonaws.com\/coreos-charts\/stable\/
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nNow that the repository has been added, we can go ahead and deploy the Prometheus Operator.
\r\n
\r\nThe following Helm command will deploy the Prometheus Operator on the Kubernetes Cluster in the namespace \u201cmonitoring\u201d
\r\n
\r\nCode:
\r\n
code:<\/b>helm install coreos\/prometheus-operator --name prometheus-operator --namespace monitoring
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nDone! Now have deployed Prometheus. Easy huh? 2 more steps are required before we can access the Dashboard.
\r\n
\r\nFirst lets deploy the kube-prometheus Helm Chart to configure Prometheus and Grafana for us.
\r\n
\r\nExecute the following Helm Command
\r\n
\r\nCode:
\r\n
code:<\/b>helm install coreos\/kube-prometheus --name kube-prometheus --set global.rbacEnable=true --namespace monitoring
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nNow we have Prometheus and Grafana configured. Lets expose a NodePort for us to access Grafana.
\r\n
\r\nThe following Manifest will create a NodePort Service on Port 30900.
\r\n
\r\nUsing your favourite text editor, save the following manifest as grafanaservice.yaml
\r\n
\r\n
code:<\/b>apiVersion: v1
kind: Service
metadata:
name: grafana-node-svc
namespace: monitoring
spec:
type: NodePort
ports:
- name: web
nodePort: 30900
port: 3000
protocol: TCP
targetPort: web
selector:
app: kube-prometheus-grafana<\/pre><\/div>
\r\n
\r\nOnce that\u2019s done, use kubectl to apply the manifest to the Karbon Cluster.
\r\n
\r\nCode:
\r\n
code:<\/b>kubectl apply -f grafanaservice.yaml
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nWe now have Prometheus and Grafana deployed with a NodePort exposing 30900 to Grafana. Lets go ahead and access Grafana.
\r\n
\r\nAccessing Grafana<\/b>
\r\nYou can access the Grafana Dashboards by navigating to https:\/\/ where NodeIP is the IP Address of any Karbon\/Kubernetes Worker Node.
\r\n
\r\nYou can check for the IP Address using Prism or running the following kubectl command.
\r\n
\r\nCode:
\r\n
code:<\/b>kubectl get nodes -o jsonpath='{.items}'].status.addresses[?(@.type==\"InternalIP\")].address}
<\/pre><\/div>
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nWe can now access the Grafana Dashboard by launching your favourite web browser and navigating to http:\/\/NodeIP:30900<\/a>
\r\n
\r\nIn my case, my NodeIP is 10.139.76.251 so I\u2019ll just navigate to http:\/\/10.139.76.251:30900<\/a>
\r\n
\r\nHere we see the homepage of the Grafana Dashboard
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nWe can click on the Home Icon to get a list of pre-seeded dashboards that are available.
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nHere\u2019s a Sample of the Kubernetes Capacity Planning Dashboard.
\r\n
\r\n
<\/a><\/p>
\r\n
\r\nI hope this has been helpful. I'll be updating this post with the steps to use tillerless in the future.
\r\n
\r\nIn my next post, I\u2019ll be sharing on how to deploy Nutanix Epoch on a Karbon Cluster.
\r\n
\r\nNutanix Epoch is an Application Tracing and Performance Monitoring Tool. It has the ability to perform tracing of applications running as Containers or Microservices. It works around the principals of the 4 golden signals by Google, namely Latency, Traffic, Errors and Saturation. Epoch can be deployed on Karbon or vanilla Kubernetes Cluster to monitor the health as well as map the dependencies of applications as well as the ability to give our customers insights when your services are starting to happens or if an application stops working.
\r\n
\r\nCredits to: Denis Guyadeen, Jose Gomez for helping with this blog post.","quoteUsername":"Winson_Sou","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">

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winson_sou

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3年前
2018年12月7日

张贴在此处使用Tillerless Helm和SIMEN YAML更新。:)

https://www.linkedin.com/pulse/deploying-prometheus-nutanix-karbon-winson-sou

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\r\nhttps:\/\/www.linkedin.com\/pulse\/deploying-prometheus-nutanix-karbon-winson-sou","quoteUsername":"Winson_Sou","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}">

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