云原生三十五（云原生三十五）

#创作挑战赛#

Prometheus是一个开源监控解决方案，用于收集和聚合指标作为时间序列数据。更简单地说，Prometheus 商店中的每个项目都是一个指标事件，并带有它发生的时间戳。

Prometheus 最初是在 Soundcloud 开发的，但现在是一个由Cloud Native Computing Foundation (CNCF)支持的社区项目。在过去十年中，它迅速发展壮大，因为它结合了查询功能和云原生架构，使其成为现代应用程序的理想监控堆栈。

mkdir -p /app/prometheus/config # 自行配置 prometheus.yml docker run -d --name prometheus --restart=always \ -p 9090:9090 \ -v /app/prometheus/config:/etc/prometheus \ prom/prometheus

# my global config global: scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute. evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. # scrape_timeout is set to the global default (10s). # Alertmanager configuration alerting: alertmanagers: - static_configs: - targets: - alertmanager:9093 # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files: # - "first_rules.yml" # - "second_rules.yml" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: 'prometheus' # metrics_path defaults to '/metrics' # scheme defaults to 'http'. scrape_interval: 5s static_configs: - targets: ['127.0.0.1:9090'] - job_name: 'docker' scrape_interval: 10s static_configs: - targets: ['10.120.82.4:8080'] ## 这个安装了下面cadvisor才有,自动访问/metrics - job_name: 'node' ## 准备一个程序能暴露 /metrics k v； node_exporter scrape_interval: 5s static_configs: - targets: ['10.120.82.4:9100']

# 运行cadvisor 导出docker节点数据，访问 8080/metrics即可 docker run -v /:/rootfs:ro \ -v /var/run:/var/run:rw \ -v /sys:/sys:ro \ -v /var/lib/docker/:/var/lib/docker:ro \ -p 8080:8080 -d --name=cadvisor google/cadvisor

#主机监控,参照如下网址 https://grafana.com/grafana/dashboards/13978?src=grafana_gettingstarted&pg=dashboards&plcmt=featured-sub1 #创建开机启动服务.为啥不行？？？？ 可以用 nohup node_exporter & #nohup node_exporter >> node_exporter.output.log 2>&1 & vi /etc/systemd/system/node-exporter.service ## 内容如下,如下的配置算了 [Unit] Description=Node Exporter [Service] User=node-exporter ExecStart=/usr/local/bin/node_exporter --config.file=agent-config.yaml ##ExecStart=/usr/local/bin/node_exporter Restart=always [Install] WantedBy=multi-user.target ##创建用户 useradd --no-create-home --shell /bin/false node-exporter ## 启动 sudo systemctl daemon-reload sudo systemctl enable node-exporter.service --now sudo systemctl start node-exporter.service sudo systemctl status node-exporter.service

docker run -d --name=grafana --restart=always -p 3000:3000 grafana/grafana

kube-prometheus-stack

• prometheus
• stack-charts
• prometheus-community/kube-state-metrics
• prometheus-community/prometheus-node-exporter
• grafana/grafana

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm repo update helm pull prometheus-community/kube-prometheus-stack --version 16.0.0

2.1、配置ingress访问证书

全局做过的就可以跳过； 只需要给全局加上域名即可

2.2、配置定制化文件

vi override.yaml #直接Ingress部署的

alertmanager: ingress: enabled: true ingressClassName: nginx hosts: - alertmanager.itdachang.com paths: - / pathType: Prefix tls: - secretName: itdachang.com hosts: - alertmanager.itdachang.com grafana: enabled: true defaultDashboardsEnabled: true adminPassword: Admin123456 ingress: enabled: true hosts: - grafana.itdachang.com path: / pathType: Prefix tls: - secretName: itdachang.com hosts: - grafana.itdachang.com prometheus: ingress: enabled: true hosts: [prometheus.itdachang.com] paths: - / pathType: Prefix tls: - secretName: itdachang.com hosts: - prometheus.itdachang.com additionalPodMonitors: - name: registry.cn-hangzhou.aliyuncs.com/lanson_k8s_images/kube-state-metrics:v2.0.0

3、安装

kubectl create ns monitor helm install -f values.yaml -f override.yaml prometheus-stack ./ -n monitor

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