国家林业工程建设协会网站,企业官网模板站,国内简洁大气网站推荐,什么网站最好dotnet-monitor可以在Kubernetes中作为Sidecar运行#xff0c;Sidecar是一个容器#xff0c;它与应用程序在同一个Pod中运行#xff0c;利用Sidecar模式使我们可以诊断及监控应用程序。如下图所示#xff0c;这是我们最终要实现的目标#xff0c;通过可视化界面查看应用程…dotnet-monitor可以在Kubernetes中作为Sidecar运行Sidecar是一个容器它与应用程序在同一个Pod中运行利用Sidecar模式使我们可以诊断及监控应用程序。如下图所示这是我们最终要实现的目标通过可视化界面查看应用程序的指标信息。应用服务创建dotnetmonitor.yaml文件如下所示。apiVersion: apps/v1
kind: Deployment
metadata:name: dotnet-monitor-example
spec:replicas: 3selector:matchLabels:app: dotnet-monitor-exampletemplate:metadata:annotations:prometheus.io/scrape: trueprometheus.io/port: 52325labels:app: dotnet-monitor-examplespec:containers:- name: serverimage: mcr.microsoft.com/dotnet/core/samples:aspnetappports:- containerPort: 80volumeMounts:- mountPath: /tmpname: tmp- name: sidecarimage: mcr.microsoft.com/dotnet/monitorports:- containerPort: 52323resources:requests:cpu: 50mmemory: 32Milimits:cpu: 250mmemory: 256Miargs: [--no-auth]env:- name: DOTNETMONITOR_Urlsvalue: http://:52323volumeMounts:- name: tmpmountPath: /tmpvolumes:- name: tmpemptyDir: {}Sidecar和应用程序共享tmp目录同时将目录映射到emptyDir类型的 Volume中。接下来创建dotnetmonitor-service.yaml为应用程序和Sidecar开放端口。apiVersion: v1
kind: Service
metadata:name: dotnetmonitorlabels:app: dotnetmonitor
spec:type: NodePortports:- name: sidecarprotocol: TCPport: 52323nodePort: 31623- name: appprotocol: TCPport: 80nodePort: 31624selector:app: dotnet-monitor-examplePrometheus配置创建prometheus-config.yaml文件通过ConfigMaps管理Prometheus的配置文件并写入如下内容。apiVersion: v1
kind: ConfigMap
metadata:name: prometheus-config
data:prometheus.yaml: |global:scrape_interval: 2s evaluation_interval: 2sscrape_configs:- job_name: prometheusstatic_configs:- targets: [localhost:9090]- job_name: default/dotnet-monitor-example/0honor_timestamps: truescrape_interval: 10sscrape_timeout: 10smetrics_path: /metricsscheme: httpfollow_redirects: truerelabel_configs:# 使用 Label __meta_kubernetes_pod_container_name 的值- source_labels: [__meta_kubernetes_pod_container_name]separator: ;# 正则表达式用于匹配源标签值使用的regex: sidecar# replacement指定的替换后的标签target_label对应的数值replacement: $1# keep就是保留符合正则表达式targets并显示出来action: keep - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]action: keepregex: true- source_labels: [__meta_kubernetes_pod_name]action: replacetarget_label: podkubernetes_sd_configs:- role: endpointsfollow_redirects: truenamespaces:names:- default在Prometheus中如果采用静态服务发现static_configs模式注册那么HPAHorizontalPodAutoscalerPod水平自动伸缩的变动会导致服务很难快速的注册如果频繁更改配置文件那么也是得不偿失的所以在此处选择kubernetes服务发现kubernetes_sd_configs模式除此之外Prometheus还支持其他方式的服务发现。static_configs: 静态服务发现dns_sd_configs: DNS 服务发现file_sd_configs: 文件服务发现kubernetes_sd_configs: Kubernetes 服务发现gce_sd_configs: GCE 服务发现ec2_sd_configs: EC2 服务发现openstack_sd_configs: OpenStack 服务发现azure_sd_configs: Azure 服务发现现在意味着我们会在Kubernetes中的会保留__meta_kubernetes_pod_container_name值为sidecar的同时也需要满足__meta_kubernetes_pod_annotation_prometheus_io_scrape属性为true的Pod。接下来创建prometheus-rbac-setup.yaml文件为了使Prometheus可以访问到Kubernetes API我们需要对Prometheus进行访问授权在Kubernetes中通过基于角色的访问控制模型Role-Based Access Control用于访问Kubernetes的资源。首先我们定义角色ClusterRole并设置相应的访问权限为Prometheus创建账号ServiceAccount最后将账号与角色进行绑定ClusterRoleBinding。apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:name: prometheus
rules:
- apiGroups: []resources:- nodes- nodes/proxy- services- endpoints- podsverbs: [get, list, watch]
- apiGroups:- extensionsresources:- ingressesverbs: [get, list, watch]
- nonResourceURLs: [/metrics]verbs: [get]
---
apiVersion: v1
kind: ServiceAccount
metadata:name: prometheusnamespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:name: prometheus
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: prometheus
subjects:
- kind: ServiceAccountname: prometheusnamespace: default创建prometheus-deployment.yaml文件。apiVersion: apps/v1
kind: Deployment
metadata:labels:name: prometheusname: prometheus
spec:replicas: 1selector:matchLabels:app: prometheus template:metadata:labels:app: prometheusspec:serviceAccountName: prometheuscontainers:- name: prometheusimage: prom/prometheus:latestcommand:- /bin/prometheusargs:- --config.file/etc/prometheus/prometheus.ymlports:- containerPort: 9090protocol: TCPvolumeMounts:- mountPath: /etc/prometheusname: prometheus-configvolumes:- name: prometheus-configconfigMap:name: prometheus-config创建prometheus-service.yaml文件。apiVersion: v1
kind: Service
metadata:name: prometheuslabels:name: prometheus
spec:type: NodePortports:- name: prometheusprotocol: TCPport: 9090targetPort: 9090nodePort: 32732selector:app: prometheus如下所示展示了Prometheus仪表盘GrafanaGrafana的内容不做展开了当然你可以直接查看或使用我的dashboard文件。https://github.com/hueifeng/dotnet-monitor-on-k8s参考部署Prometheushttps://dotnetos.org/blog/2021-11-22-dotnet-monitor-grafana/
