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社区

混合云基础架构

Karbon Kubernetes编排

grafana on nutanix karbon

grafana on nutanix karbon

3年前
2019年5月20日

0答复

1949年的观点

Userlevel 4

+5

乔森纳克斯

Nutanix员工

78个答复

在这里，我在伦敦卢顿机场，等待我延迟飞往巴塞罗那库贝孔2019的航班。三个小时的“免费”写一个新博客，这次关于如何在Nutanix Karbon上部署Grafana。

在使用Karbon部署Kubernetes群集时，您默认会获得几个附加组件，例如使用EFK（Elasticsearch，Fluentd和Kibana）登录或使用Prometheus进行监视。

今天，karbon中普罗米修斯的可视化仅是为了提醒。如果您想收集指标信息，则需要部署Grafana作为可视化接口。在此博客中，我将向您展示用Tillerless Helm部署Grafana多么容易快捷。由于Karbon是开放的，并且在Kubernetes上游，因此不需要复杂的配置。

先决条件

在继续安装Grafana之前，您需要安装Helm。我写了一个博客，讲述了如何以安全的方式进行。参考Nutanix Karbon上的Tillerless Helm安装的博客。

安装Grafana

如前所述，Karbon中的每个Kubernetes群集都在Prometheus中运行NTNX系统名称空间。我们将使用Prometheus作为Grafana的数据源。

确保您已经开始耕种者客户：

舵蒂勒开始

以下命令将在NTNX系统名称空间，使用内置的Prometheus作为数据源。您也将作为部署的一部分获得几个仪表板，因此您可以立即可视化Kubernetes群集。Grafana将使用外部出版nodeport。确保列出服务以捕获已分配给Grafana服务的服务。

掌舵安装稳定/grafana \ -name grafana \ -namespace ntnx-system \ - -set Persistence.enabled = true \ - -Set dataSources。\ .yaml“ .datasources [0] .name = Prometheus \ - -Set datasources。]。“ dataSources \ .yaml” .dataSources [0] .isdefault = true \ - -Set Dashboards.default.kube-capacity.gnetid.gnetid = 5309 \ - -Set Dashboards.default.kube-capcita。default.kube-capacity.datasource=Prometheus \ --set dashboards.default.kube-cluster-health.gnetId=5312 \ --set dashboards.default.kube-cluster-health.revision=1 \ --set dashboards.default.kube-cluster-health.datasource=Prometheus \ --set dashboards.default.kube-cluster-status.gnetId=5315 \ --set dashboards.default.kube-cluster-status.revision=1 \ --set dashboards.default.kube-cluster-status.datasource=Prometheus \ --set dashboards.default.kube-deployment.gnetId=5303 \ --set dashboards.default.kube-deployment.revision=1 \ --set dashboards.default.kube-deployment.datasource=Prometheus \ --set dashboards.default.kube-master-status.gnetId=5318 \ --set dashboards.default.kube-master-status.revision=1 \ --set dashboards.default.kube-master-status.datasource=Prometheus \ --set dashboards.default.kube-nodes.gnetId=5324 \ --set dashboards.default.kube-nodes.revision=1 \ --set dashboards.default.kube-nodes.datasource=Prometheus \ --set dashboards.default.kube-pods.gnetId=5327 \ --set dashboards.default.kube-pods.revision=1 \ --set dashboards.default.kube-pods.datasource=Prometheus \ --set dashboards.default.kube-resource-request.gnetId=5321 \ --set dashboards.default.kube-resource-request.revision=1 \ --set dashboards.default.kube-resource-request.datasource=Prometheus \ --set dashboards.default.kube-statefulset.gnetId=5330 \ --set dashboards.default.kube-statefulset.revision=1 \ --set dashboards.default.kube-statefulset.datasource=Prometheus \ --set dashboardProviders."dashboardproviders\.yaml".apiVersion=1 \ --set dashboardProviders."dashboardproviders\.yaml".providers[0].orgId=1 \ --set dashboardProviders."dashboardproviders\.yaml".providers[0].type=file \ --set dashboardProviders."dashboardproviders\.yaml".providers[0].disableDeletion=false \ --set dashboardProviders."dashboardproviders\.yaml".providers[0].options.path="/var/lib/grafana/dashboards/default" \ --set service.type=NodePort

要在Kubernetes找到Grafana服务端口，您可以运行此操作。

kubectl -n ntnx系统获取服务grafana名称类型cluster-IP外部-IP端口（S）年龄Grafana NodePort 172.19.19.183.8 80：31324/TCP 10D

在此示例中，您可以看到端口31324已分配给我的Grafana服务。现在，您可以打开浏览器，并使用上一个命令的端口使用任何工人的IP地址。获取工人IP地址的一种快速方法是：

kubectl获取-O yaml |GREP地址： - 地址：192.168.2.197-地址：Karbon-DND-DND-DND-DEVOPS-Stack-4f5d9a-K8S-K8S-Master-0地址： - 地址：192.168.2.104-地址：Karbon-DND-DND-DND-DND-DND-DEVOPS-STACK-4F59A-K8S-Worker-0地址： - 地址：192.168.2.105-地址：Karbon-DND-DND-DND-DEVOPS-stack-4F5D9A-K8S-Worker-1

就我而言，我会打开一个浏览器http://192.168.2.104:31324

访问Grafana

最后一步是获得Grafana凭据。默认用户是行政，但是密码是为每个Grafana安装动态生成的。

运行以下以获取管理员密码

kubectl获取秘密-namespace ntnx-system grafana -o jsonpath =“ {。data.admin-password}” |base64 -decode;回声

回到您的浏览器并介绍凭据。

如果单击家在左上角，您将获得我们已安装的仪表板的列表，作为Helm命令的一部分。

这里是Kubernetes容量仪表板的示例。

我们安装的仪表板是Grafana社区的一部分。在这种情况下，它们是由Feisky创建的（https://grafana.com/orgs/feisky/dashboards），谢谢你！！！

希望您喜欢这个关于如何在Kubernetes群集中安装Grafana的快速博客。

何塞·戈麦斯（Jose Gomez）|技术营销工程师|jose.gomez@nutanix.com |@pipoe2h

AHV

容器

格拉法纳

普罗米修斯

Here I am at London Luton airport waiting for my delayed flight to KubeCon 2019 in Barcelona. Three hours \u2018free\u2019 to write a new blog, this time about how to deploy Grafana on Nutanix Karbon.

When deploying a Kubernetes cluster with Karbon you get by default few add-ons like logging with EFK (Elasticsearch, Fluentd and Kibana) or monitoring with Prometheus.

Today the visualisation of Prometheus in Karbon is just for alerts. If you are looking to gather metrics information you will need to deploy Grafana as the visualisation interface. In this blog I\u2019ll show you how easy and quick is to deploy Grafana with Tillerless Helm. Because Karbon is open and upstream Kubernetes, there is no need of complex configurations.<\/p>
Prerequisite<\/p>
Before you can proceed with the installation of Grafana, you will need to install Helm. I wrote a blog about how to do it in a secure manner. Refer to Tillerless Helm on Nutanix Karbon<\/a> blog for the installation.<\/p>
Install Grafana<\/p>
As mentioned before, every Kubernetes cluster in Karbon has Prometheus running in the ntnx-system<\/strong> namespace. We will use Prometheus as the datasource for Grafana.

Make sure you have started the tiller<\/em> client:
\u00a0<\/p>
helm tiller start<\/code><\/pre> The following command will install Grafana in the ntnx-system<\/strong> namespace, using the built-in Prometheus as datasource. You will get as part of the deployment several dashboards too, so you can visualise your Kubernetes cluster right away. Grafana will be externally published using NodePort<\/strong>. Make sure you list the services to capture what port has been assigned to the Grafana service. \u00a0<\/p>helm install stable\/grafana \\ --name grafana \\ --namespace ntnx-system \\ --set persistence.enabled=true \\ --set datasources.\"datasources\\.yaml\".apiVersion=1 \\ --set datasources.\"datasources\\.yaml\".datasources[0].name=Prometheus \\ --set datasources.\"datasources\\.yaml\".datasources[0].type=prometheus \\ --set datasources.\"datasources\\.yaml\".datasources[0].url=http:\/\/prometheus-k8s.ntnx-system.svc.cluster.local:9090 \\ --set datasources.\"datasources\\.yaml\".datasources[0].access=proxy \\ --set datasources.\"datasources\\.yaml\".datasources[0].isDefault=true \\ --set dashboards.default.kube-capacity.gnetId=5309 \\ --set dashboards.default.kube-capacity.revision=1 \\ --set dashboards.default.kube-capacity.datasource=Prometheus \\ --set dashboards.default.kube-cluster-health.gnetId=5312 \\ --set dashboards.default.kube-cluster-health.revision=1 \\ --set dashboards.default.kube-cluster-health.datasource=Prometheus \\ --set dashboards.default.kube-cluster-status.gnetId=5315 \\ --set dashboards.default.kube-cluster-status.revision=1 \\ --set dashboards.default.kube-cluster-status.datasource=Prometheus \\ --set dashboards.default.kube-deployment.gnetId=5303 \\ --set dashboards.default.kube-deployment.revision=1 \\ --set dashboards.default.kube-deployment.datasource=Prometheus \\ --set dashboards.default.kube-master-status.gnetId=5318 \\ --set dashboards.default.kube-master-status.revision=1 \\ --set dashboards.default.kube-master-status.datasource=Prometheus \\ --set dashboards.default.kube-nodes.gnetId=5324 \\ --set dashboards.default.kube-nodes.revision=1 \\ --set dashboards.default.kube-nodes.datasource=Prometheus \\ --set dashboards.default.kube-pods.gnetId=5327 \\ --set dashboards.default.kube-pods.revision=1 \\ --set dashboards.default.kube-pods.datasource=Prometheus \\ --set dashboards.default.kube-resource-request.gnetId=5321 \\ --set dashboards.default.kube-resource-request.revision=1 \\ --set dashboards.default.kube-resource-request.datasource=Prometheus \\ --set dashboards.default.kube-statefulset.gnetId=5330 \\ --set dashboards.default.kube-statefulset.revision=1 \\ --set dashboards.default.kube-statefulset.datasource=Prometheus \\ --set dashboardProviders.\"dashboardproviders\\.yaml\".apiVersion=1 \\ --set dashboardProviders.\"dashboardproviders\\.yaml\".providers[0].orgId=1 \\ --set dashboardProviders.\"dashboardproviders\\.yaml\".providers[0].type=file \\ --set dashboardProviders.\"dashboardproviders\\.yaml\".providers[0].disableDeletion=false \\ --set dashboardProviders.\"dashboardproviders\\.yaml\".providers[0].options.path=\"\/var\/lib\/grafana\/dashboards\/default\" \\ --set service.type=NodePort <\/code><\/pre>To find the Grafana service port in Kubernetes you can run this. kubectl -n ntnx-system get service grafana NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE grafana NodePort 172.19.183.8 80:31324\/TCP 10d <\/code> In this example you can see the port 31324<\/strong> has been assigned to my Grafana service. Now you can open a browser and use the IP address of any of your workers with the port from the previous command. A quick way to get the worker IP addresses is: kubectl get no -o yaml | grep address addresses: - address: 192.168.2.197 - address: karbon-dnd-devops-stack-4f5d9a-k8s-master-0 addresses: - address: 192.168.2.104 - address: karbon-dnd-devops-stack-4f5d9a-k8s-worker-0 addresses: - address: 192.168.2.105 - address: karbon-dnd-devops-stack-4f5d9a-k8s-worker-1 <\/code> In my case I\u2019ll open a browser to http:\/\/192.168.2.104:31324<\/a> \u00a0<\/p> <\/a><\/p> \u00a0<\/p> Accessing Grafana<\/p> Last step is to get the Grafana credentials. The default user is admin<\/strong>, but the password is dynamically generated for each Grafana installation. Run the following to get the admin password kubectl get secret --namespace ntnx-system grafana -o jsonpath=\"{.data.admin-password}\" | base64 --decode ; echo <\/code> Go back to your browser and introduce the credentials.<\/p> \u00a0<\/p> <\/a><\/p> \u00a0<\/p> If you click Home<\/strong> on the top left corner, you will get the list of the dashboards we have installed as a part of the Helm command.<\/p> <\/p> \u00a0<\/p> \u00a0<\/p> <\/a><\/p> Here an example of the Kubernetes Capacity dashboard.<\/p> \u00a0<\/p> \u00a0<\/p> <\/a><\/p> \u00a0<\/p> The dashboards we have installed are part of the Grafana community. In this case they have been created by Feisky (https:\/\/grafana.com\/orgs\/feisky\/dashboards<\/a>), thank you!!! I hope you have enjoyed this quick blog about how to install Grafana in your Kubernetes cluster.<\/p> <\/p> \u00a0<\/p>","quoteUsername":"JoseNutanix","translations":{"Common":{"like":"Like","unlike":"Unlike"},"Forum":{"Quote":"Quote","Share":"Share"}}}"> 喜欢引用分享
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