diff --git a/SUMMARY.md b/SUMMARY.md index e9cbae0..966d1da 100644 --- a/SUMMARY.md +++ b/SUMMARY.md @@ -78,3 +78,7 @@ ### 调度器 * [Kubernetes 调度器介绍](docs/50.Kubernetes调度策略.md) * [Kubernetes 亲和性调度](docs/51.Kubernetes亲和性调度.md) + + +### 集群监控 +* [Promethues 介绍](docs/52.Prometheus基本使用.md) diff --git a/book.json b/book.json index 3804e02..d8759e6 100644 --- a/book.json +++ b/book.json @@ -27,7 +27,8 @@ "theme-default", "sitemap-general", "3-ba", - "ga" + "ga", + "adsense" ], "pluginsConfig": { "theme-default": { @@ -70,6 +71,13 @@ }, "ga": { "token": "UA-69668147-3" + }, + "adsense": { + "client": "ca-pub-5376999672787220", + "slot": "3100272140", + "format": "auto", + "element": ".page-inner section", + "position": "bottom" } } } diff --git "a/docs/52.Prometheus\345\237\272\346\234\254\344\275\277\347\224\250.md" "b/docs/52.Prometheus\345\237\272\346\234\254\344\275\277\347\224\250.md" new file mode 100644 index 0000000..d893815 --- /dev/null +++ "b/docs/52.Prometheus\345\237\272\346\234\254\344\275\277\347\224\250.md" @@ -0,0 +1,306 @@ +# 52. Promethues 介绍 +从今天开始我们就和大家一起来学习 Kubernetes 中监控系统的搭建，我们知道监控是保证系统运行必不可少的功能，特别是对于 Kubernetes 这种比较庞大的系统来说，监控报警更是不可或缺，我们需要时刻了解系统的各种运行指标，也需要时刻了解我们的 Pod 的各种指标，更需要在出现问题的时候有报警信息通知到我们。 + +在早期的版本中 Kubernetes 提供了 heapster、influxDB、grafana 的组合来监控系统，所以我们可以在 Dashboard 中看到 heapster 提供的一些图表信息，在后续的版本中会陆续移除掉 heapster，现在更加流行的监控工具是 [prometheus](https://prometheus.io)，prometheus 是 Google 内部监控报警系统的开源版本，是 Google SRE 思想在其内部不断完善的产物，它的存在是为了更快和高效的发现问题，快速的接入速度，简单灵活的配置都很好的解决了这一切，而且是已经毕业的 CNCF 项目。 + +> 这里推荐一本书了解 Goolge 运维的秘密：《SRE: Google运维解密》 + + +## 简介 +Prometheus 最初是 SoundCloud 构建的开源系统监控和报警工具，是一个独立的开源项目，于2016年加入了 CNCF 基金会，作为继 Kubernetes 之后的第二个托管项目。 + +### 特征 +Prometheus 相比于其他传统监控工具主要有以下几个特点： + +* 具有由 metric 名称和键/值对标识的时间序列数据的多维数据模型 +* 有一个灵活的查询语言 +* 不依赖分布式存储，只和本地磁盘有关 +* 通过 HTTP 的服务拉取时间序列数据 +* 也支持推送的方式来添加时间序列数据 +* 还支持通过服务发现或静态配置发现目标 +* 多种图形和仪表板支持 + +### 组件 +Prometheus 由多个组件组成，但是其中许多组件是可选的： + +* Prometheus Server：用于抓取指标、存储时间序列数据 +* exporter：暴露指标让任务来抓 +* pushgateway：push 的方式将指标数据推送到该网关 +* alertmanager：处理报警的报警组件 +* adhoc：用于数据查询 + +大多数 Prometheus 组件都是用 Go 编写的，因此很容易构建和部署为静态的二进制文件。 + +### 架构 +下图是 Prometheus 官方提供的架构及其一些相关的生态系统组件： + +![架构](./images/prometheus-architecture.png) + +整体流程比较简单，Prometheus 直接接收或者通过中间的 Pushgateway 网关被动获取指标数据，在本地存储所有的获取的指标数据，并对这些数据进行一些规则整理，用来生成一些聚合数据或者报警信息，Grafana 或者其他工具用来可视化这些数据。 + + +## 安装 +由于 Prometheus 是 Golang 编写的程序，所以要安装的话也非常简单，只需要将二进制文件下载下来直接执行即可，前往地址：[https://prometheus.io/download](https://prometheus.io/download) 下载我们对应的版本即可。 + +Prometheus 是通过一个 YAML 配置文件来进行启动的，如果我们使用二进制的方式来启动的话，可以使用下面的命令： +```shell +$ ./prometheus --config.file=prometheus.yml +``` + +其中 prometheus.yml 文件的基本配置如下： +```yaml +global: + scrape_interval: 15s + evaluation_interval: 15s + +rule_files: + # - "first.rules" + # - "second.rules" + +scrape_configs: + - job_name: prometheus + static_configs: + - targets: ['localhost:9090'] +``` + +上面这个配置文件中包含了3个模块：global、rule_files 和 scrape_configs。 + +其中 global 模块控制 Prometheus Server 的全局配置： +* scrape_interval：表示 prometheus 抓取指标数据的频率，默认是15s，我们可以覆盖这个值 +* evaluation_interval：用来控制评估规则的频率，prometheus 使用规则产生新的时间序列数据或者产生警报 + +rule_files 模块制定了规则所在的位置，prometheus 可以根据这个配置加载规则，用于生成新的时间序列数据或者报警信息，当前我们没有配置任何规则。 + +scrape_configs 用于控制 prometheus 监控哪些资源。由于 prometheus 通过 HTTP 的方式来暴露的它本身的监控数据，prometheus 也能够监控本身的健康情况。在默认的配置里有一个单独的 job，叫做prometheus，它采集 prometheus 服务本身的时间序列数据。这个 job 包含了一个单独的、静态配置的目标：监听 localhost 上的9090端口。prometheus 默认会通过目标的`/metrics`路径采集 metrics。所以，默认的 job 通过 URL：`http://localhost:9090/metrics`采集 metrics。收集到的时间序列包含 prometheus 服务本身的状态和性能。如果我们还有其他的资源需要监控的话，直接配置在该模块下面就可以了。 + +由于我们这里是要跑在 Kubernetes 系统中，所以我们直接用 Docker 镜像的方式运行即可。 + +> 为了方便管理，我们将所有的资源对象都安装在`kube-ops`的 namespace 下面，没有的话需要提前安装。 + +为了能够方便的管理配置文件，我们这里将 prometheus.yml 文件用 ConfigMap 的形式进行管理：（prometheus-cm.yaml） +```yaml +apiVersion: v1 +kind: ConfigMap +metadata: + name: prometheus-config + namespace: kube-ops +data: + prometheus.yml: | + global: + scrape_interval: 15s + scrape_timeout: 15s + scrape_configs: + - job_name: 'prometheus' + static_configs: + - targets: ['localhost:9090'] +``` + +我们这里暂时只配置了对 prometheus 的监控，然后创建该资源对象： +```shell +$ kubectl create -f prometheus-cm.yaml +configmap "prometheus-config" created +``` + +配置文件创建完成了，以后如果我们有新的资源需要被监控，我们只需要将上面的 ConfigMap 对象更新即可。现在我们来创建 prometheus 的 Pod 资源：(prometheus-deploy.yaml) +```yaml +apiVersion: extensions/v1beta1 +kind: Deployment +metadata: + name: prometheus + namespace: kube-ops + labels: + app: prometheus +spec: + template: + metadata: + labels: + app: prometheus + spec: + serviceAccountName: prometheus + containers: + - image: prom/prometheus:v2.4.3 + name: prometheus + command: + - "/bin/prometheus" + args: + - "--config.file=/etc/prometheus/prometheus.yml" + - "--storage.tsdb.path=/prometheus" + - "--storage.tsdb.retention=24h" + - "--web.enable-admin-api" # 控制对admin HTTP API的访问，其中包括删除时间序列等功能 + - "--web.enable-lifecycle" # 支持热更新，直接执行localhost:9090/-/reload立即生效 + ports: + - containerPort: 9090 + protocol: TCP + name: http + volumeMounts: + - mountPath: "/prometheus" + subPath: prometheus + name: data + - mountPath: "/etc/prometheus" + name: config-volume + resources: + requests: + cpu: 100m + memory: 512Mi + limits: + cpu: 100m + memory: 512Gi + securityContext: + runAsUser: 0 + volumes: + - name: data + persistentVolumeClaim: + claimName: prometheus + - configMap: + name: prometheus-config + name: config-volume +``` + +我们在启动程序的时候，除了指定了 prometheus.yml 文件之外，还通过参数`storage.tsdb.path`指定了 TSDB 数据的存储路径、通过`storage.tsdb.retention`设置了保留多长时间的数据，还有下面的`web.enable-admin-api`参数可以用来开启对 admin api 的访问权限，参数`web.enable-lifecycle`非常重要，用来开启支持热更新的，有了这个参数之后，prometheus.yml 配置文件只要更新了，通过执行`localhost:9090/-/reload`就会立即生效，所以一定要加上这个参数。 + +我们这里将 prometheus.yml 文件对应的 ConfigMap 对象通过 volume 的形式挂载进了 Pod，这样 ConfigMap 更新后，对应的 Pod 里面的文件也会热更新的，然后我们再执行上面的 reload 请求，Prometheus 配置就生效了，除此之外，为了将时间序列数据进行持久化，我们将数据目录和一个 pvc 对象进行了绑定，所以我们需要提前创建好这个 pvc 对象：(prometheus-volume.yaml) +```yaml +apiVersion: v1 +kind: PersistentVolume +metadata: + name: prometheus +spec: + capacity: + storage: 10Gi + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Recycle + nfs: + server: 10.151.30.57 + path: /data/k8s + +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: prometheus + namespace: kube-ops +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 10Gi +``` + +我们这里简单的通过 NFS 作为存储后端创建一个 pv、pvc 对象： +```shell +$ kubectl create -f prometheus-volume.yaml +``` + +除了上面的注意事项外，我们这里还需要配置 rbac 认证，因为我们需要在 prometheus 中去访问 Kubernetes 的相关信息，所以我们这里管理了一个名为 prometheus 的 serviceAccount 对象：(prometheus-rbac.yaml) +```yaml +apiVersion: v1 +kind: ServiceAccount +metadata: + name: prometheus + namespace: kube-ops +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: prometheus +rules: +- apiGroups: [""] + resources: + - nodes + - services + - endpoints + - pods + - nodes/proxy + verbs: ["get", "list", "watch"] +- apiGroups: [""] + resources: + - configmaps + verbs: ["get"] +- nonResourceURLs: ["/metics"] # 对非资源型 endpoint metrics 进行 get 操作 + verbs: ["get"] +--- +apiVersion: rbac.authorization.k8s.io/v1beta1 +kind: ClusterRoleBinding +metadata: + name: prometheus +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: prometheus +subjects: +- kind: ServiceAccount + name: prometheus + namespace: kube-ops +``` + +由于我们要获取的资源信息，在每一个 namespace 下面都有可能存在，所以我们这里使用的是 ClusterRole 的资源对象，值得一提的是我们这里的权限规则声明中有一个`nonResourceURLs`的属性，是用来对非资源型 metrics 进行操作的权限声明，这个在以前我们很少遇到过，然后直接创建上面的资源对象即可： +```shell +$ kubectl create -f prometheus-rbac.yaml +serviceaccount "prometheus" created +clusterrole.rbac.authorization.k8s.io "prometheus" created +clusterrolebinding.rbac.authorization.k8s.io "prometheus" created +``` + +还有一个要注意的地方是我们这里必须要添加一个`securityContext`的属性，将其中的`runAsUser`设置为0，这是因为现在的 prometheus 运行过程中使用的用户是 [nobody](https://github.com/prometheus/prometheus/blob/master/Dockerfile)，否则会出现下面的`permission denied`之类的权限错误： +```shell +level=error ts=2018-10-22T14:34:58.632016274Z caller=main.go:617 err="opening storage failed: lock DB directory: open /data/lock: permission denied" +``` + +现在我们就可以添加 promethues 的资源对象了： +```shell +$ kubectl create -f prometheus-deploy.yaml +deployment.extensions "prometheus" created +$ kubectl get pods -n kube-ops +NAME READY STATUS RESTARTS AGE +prometheus-6dd775cbff-zb69l 1/1 Running 0 20m +$ kubectl logs -f prometheus-6dd775cbff-zb69l -n kube-ops +...... +level=info ts=2018-10-22T14:44:40.535385503Z caller=main.go:523 msg="Server is ready to receive web requests." +``` + +Pod 创建成功后，为了能够在外部访问到 prometheus 的 webui 服务，我们还需要创建一个 Service 对象：(prometheus-svc.yaml) +```yaml +apiVersion: v1 +kind: Service +metadata: + name: prometheus + namespace: kube-ops + labels: + app: prometheus +spec: + selector: + app: prometheus + type: NodePort + ports: + - name: web + port: 9090 + targetPort: http +``` + +为了方便测试，我们这里创建一个`NodePort`类型的服务，当然我们可以创建一个`Ingress`对象，通过域名来进行访问： +```shell +$ kubectl create -f prometheus-svc.yaml +service "prometheus" created +$ kubectl get svc -n kube-ops +NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE +prometheus NodePort 10.111.118.104 9090:30987/TCP 24s +``` + +然后我们就可以通过**http://任意节点IP:30987**访问 prometheus 的 webui 服务了。 + +![prometheus webui](./images/prometheus-webui.png) + +为了数据的一致性，prometheus 所有的数据都是使用的 UTC 时间，所以我们默认打开的 dashboard 中有这样一个警告，我们需要在查询的时候指定我们当前的时间才可以。然后我们可以查看当前监控系统中的一些监控目标： +![prometheus targets](./images/prometheus-menu.png) + +由于我们现在还没有配置任何的报警信息，所以 Alerts 菜单下面现在没有任何数据，隔一会儿，我们可以去 Graph 菜单下面查看我们抓取的 prometheus 本身的一些监控数据了，其中`- insert metrics at cursor -`下面就是我们搜集到的一些监控数据指标： +![prometheus metrics](./images/prometheus-metrics-menu.png) + +比如我们这里就选择`scrape_duration_seconds`这个指标，然后点击`Execute`，如果这个时候没有查询到任何数据，我们可以切换到`Graph`这个 tab 下面重新选择下时间，选择到当前的时间点，重新执行，就可以看到类似于下面的图表数据了： +![prometheus graph](./images/prometheus-metrics-graph.png) + +除了简单的直接使用采集到的一些监控指标数据之外，这个时候也可以使用强大的 PromQL 工具，PromQL其实就是 prometheus 便于数据聚合展示开发的一套 ad hoc 查询语言的，你想要查什么找对应函数取你的数据好了。 + +下节课我们再来和大家学习怎样使用 Prometheus 来监控 Kubernetes 系统的组件以及常用的资源对象的监控。 diff --git a/docs/images/prometheus-architecture.png 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a/grafana/grafana-deploy.yaml b/grafana/grafana-deploy.yaml new file mode 100644 index 0000000..f42459c --- /dev/null +++ b/grafana/grafana-deploy.yaml @@ -0,0 +1,63 @@ +apiVersion: extensions/v1beta1 +kind: Deployment +metadata: + name: grafana + namespace: kube-ops + labels: + app: grafana +spec: + revisionHistoryLimit: 10 + template: + metadata: + labels: + app: grafana + spec: + containers: + - name: grafana + image: grafana/grafana:5.3.1 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 80 + name: service + - containerPort: 3000 + name: grafana + env: + - name: GF_SECURITY_ADMIN_USER + value: admin + - name: GF_SECURITY_ADMIN_PASSWORD + value: admin321 + readinessProbe: + failureThreshold: 10 + httpGet: + path: /api/health + port: 3000 + scheme: HTTP + initialDelaySeconds: 60 + periodSeconds: 10 + successThreshold: 1 + timeoutSeconds: 30 + livenessProbe: + failureThreshold: 3 + httpGet: + path: /api/health + port: 3000 + scheme: HTTP + periodSeconds: 10 + successThreshold: 1 + timeoutSeconds: 1 + resources: + limits: + cpu: 100m + memory: 128Mi + requests: + cpu: 100m + memory: 128Mi + volumeMounts: + - mountPath: /var/lib/grafana + name: storage + securityContext: + fsGroup: 472 + runAsUser: 472 + volumes: + - emptyDir: {} + name: storage diff --git a/grafana/grafana-svc.yaml b/grafana/grafana-svc.yaml new file mode 100644 index 0000000..81238c1 --- /dev/null +++ b/grafana/grafana-svc.yaml @@ -0,0 +1,13 @@ +apiVersion: v1 +kind: Service +metadata: + name: grafana + namespace: kube-ops + labels: + app: grafana +spec: + type: NodePort + ports: + - port: 3000 + selector: + app: grafana diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..25020f1 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1090 @@ +{ + "requires": true, + "lockfileVersion": 1, + "dependencies": { + "ansi-red": { + "version": "https://registry.npmjs.org/ansi-red/-/ansi-red-0.1.1.tgz", + "integrity": "sha1-jGOPnRCAgAo1PJwoyKgcpHBdlGw=", 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labels: + app: node-exporter +spec: + template: + metadata: + labels: + app: node-exporter + spec: + containers: + - image: prom/node-exporter:v0.16.0 + name: node-exporter + ports: + - containerPort: 9100 + protocol: TCP + name: http + tolerations: + - key: "node-role.kubernetes.io/master" + operator: "Exists" + effect: "NoSchedule" + +--- +apiVersion: v1 +kind: Service +metadata: + labels: + app: node-exporter + name: node-exporter + namespace: kube-ops +spec: + ports: + - name: http + port: 9100 + nodePort: 31009 + protocol: TCP + type: NodePort + selector: + app: node-exporter diff --git a/prometheus/prometheus-cm.yaml b/prometheus/prometheus-cm.yaml new file mode 100644 index 0000000..efb1dc5 --- /dev/null +++ b/prometheus/prometheus-cm.yaml @@ -0,0 +1,79 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: prometheus-config + namespace: kube-ops +data: + prometheus.yml: | + global: + scrape_interval: 30s + scrape_timeout: 30s + scrape_configs: + - job_name: 'prometheus' + static_configs: + - targets: ['localhost:9090'] + + - job_name: 'kubernetes-apiservers' + scheme: https + kubernetes_sd_configs: + - role: endpoints + tls_config: + ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + insecure_skip_verify: true + 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-nodes' + scheme: https + tls_config: + ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token + kubernetes_sd_configs: + - role: node + relabel_configs: + - action: labelmap + regex: __meta_kubernetes_node_label_(.+) + - target_label: __address__ + replacement: kubernetes.default.svc:443 + - source_labels: [__meta_kubernetes_node_name] + regex: (.+) + target_label: __metrics_path__ + replacement: /api/v1/nodes/${1}/proxy/metrics + + - job_name: 'kubernetes-cadvisor' + scheme: https + tls_config: + ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token + kubernetes_sd_configs: + - role: node + relabel_configs: + - action: labelmap + regex: __meta_kubernetes_node_label_(.+) + - target_label: __address__ + replacement: kubernetes.default.svc:443 + - source_labels: [__meta_kubernetes_node_name] + regex: (.+) + target_label: __metrics_path__ + replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor + + - job_name: 'kubernetes-node-exporter' + scheme: http + tls_config: + ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token + kubernetes_sd_configs: + - role: node + relabel_configs: + - action: labelmap + regex: __meta_kubernetes_node_label_(.+) + - source_labels: [__meta_kubernetes_role] + action: replace + target_label: kubernetes_role + - source_labels: [__address__] + regex: '(.*):10250' + replacement: '${1}:31009' + target_label: __address__ diff --git a/prometheus/prometheus-deploy.yaml b/prometheus/prometheus-deploy.yaml new file mode 100644 index 0000000..0eaa138 --- /dev/null +++ b/prometheus/prometheus-deploy.yaml @@ -0,0 +1,52 @@ +apiVersion: extensions/v1beta1 +kind: Deployment +metadata: + name: prometheus + namespace: kube-ops + labels: + app: prometheus +spec: + template: + metadata: + labels: + app: prometheus + spec: + serviceAccountName: prometheus + containers: + - image: prom/prometheus:v2.4.3 + name: prometheus + command: + - "/bin/prometheus" + args: + - "--config.file=/etc/prometheus/prometheus.yml" + - "--storage.tsdb.path=/prometheus" + - "--storage.tsdb.retention=24h" + - "--web.enable-admin-api" # 控制对admin HTTP API的访问，其中包括删除时间序列等功能 + - "--web.enable-lifecycle" # 支持热更新，直接执行localhost:9090/-/reload立即生效 + ports: + - containerPort: 9090 + protocol: TCP + name: http + volumeMounts: + - mountPath: "/prometheus" + subPath: prometheus + name: data + - mountPath: "/etc/prometheus" + name: config-volume + resources: + requests: + cpu: 100m + memory: 100Mi + limits: + cpu: 200m + memory: 1Gi + securityContext: + runAsUser: 0 + volumes: + - name: data + persistentVolumeClaim: + claimName: prometheus + - configMap: + name: prometheus-config + name: config-volume + diff --git a/prometheus/prometheus-pv.yaml b/prometheus/prometheus-pv.yaml new file mode 100644 index 0000000..98f0c6e --- /dev/null +++ b/prometheus/prometheus-pv.yaml @@ -0,0 +1,26 @@ +apiVersion: v1 +kind: PersistentVolume +metadata: + name: prometheus +spec: + capacity: + storage: 10Gi + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Recycle + nfs: + server: 10.151.30.57 + path: /data/k8s + +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: prometheus + namespace: kube-ops +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 10Gi diff --git a/prometheus/prometheus-rbac.yaml b/prometheus/prometheus-rbac.yaml new file mode 100644 index 0000000..45ba845 --- /dev/null +++ b/prometheus/prometheus-rbac.yaml @@ -0,0 +1,40 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: prometheus + namespace: kube-ops + +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: prometheus +rules: +- apiGroups: [""] + resources: + - nodes + - services + - endpoints + - pods + - nodes/proxy + verbs: ["get", "list", "watch"] +- apiGroups: [""] + resources: + - configmaps + verbs: ["get"] +- nonResourceURLs: ["/metics"] # 对非资源型 endpoint metrics 进行 get 操作 + verbs: ["get"] + +--- +apiVersion: rbac.authorization.k8s.io/v1beta1 +kind: ClusterRoleBinding +metadata: + name: prometheus +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: prometheus +subjects: +- kind: ServiceAccount + name: prometheus + namespace: kube-ops diff --git a/prometheus/prometheus-svc.yaml b/prometheus/prometheus-svc.yaml new file mode 100644 index 0000000..135644c --- /dev/null +++ b/prometheus/prometheus-svc.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Service +metadata: + name: prometheus + namespace: kube-ops + labels: + app: prometheus +spec: + selector: + app: prometheus + type: NodePort + ports: + - name: web + port: 9090 + targetPort: http