{"id":2231,"date":"2024-11-13T10:23:44","date_gmt":"2024-11-13T02:23:44","guid":{"rendered":"https:\/\/www.ruianding.com\/blog\/?p=2231"},"modified":"2024-11-18T17:38:23","modified_gmt":"2024-11-18T09:38:23","slug":"monitoring-stack-part-2-building-a-monitoring-stack-with-node-exporter-and-prometheus","status":"publish","type":"post","link":"https:\/\/www.ruianding.com\/blog\/monitoring-stack-part-2-building-a-monitoring-stack-with-node-exporter-and-prometheus\/","title":{"rendered":"Monitoring Stack \u2013 Part 2: Building a Monitoring Stack with Node Exporter and Prometheus"},"content":{"rendered":"\n

In Part 1, we set up Grafana on a Linux server as a powerful visualization tool. Now, let\u2019s complete our monitoring stack by adding Node Exporter<\/strong> and Prometheus<\/strong> to collect and store system metrics for Grafana to display.<\/p>\n\n\n\n

In this guide, we\u2019ll walk through installing and configuring Node Exporter to collect system metrics, Prometheus to store and serve those metrics, and finally, we\u2019ll troubleshoot a common setup issue involving Prometheus\u2019s storage directory.<\/p>\n\n\n\n

\n\n\n\n

Understanding the Components of a Monitoring Stack<\/h2>\n\n\n\n
    \n
  1. Data Collector<\/strong> (Node Exporter): Gathers system-level metrics like CPU usage, memory utilization, and network stats from the server.<\/li>\n\n\n\n
  2. Data Storage and Processing<\/strong> (Prometheus): Fetches metrics from Node Exporter and stores them, making the data available to Grafana for visualization.<\/li>\n\n\n\n
  3. Data Visualization and Alerting<\/strong> (Grafana): Connects to Prometheus to visualize and monitor metrics.<\/li>\n<\/ol>\n\n\n\n

    Monitoring Workflow<\/h2>\n\n\n\n
      \n
    1. Node Exporter<\/strong> collects system resource metrics.<\/li>\n\n\n\n
    2. Prometheus<\/strong> scrapes metrics from Node Exporter and stores them.<\/li>\n\n\n\n
    3. Grafana<\/strong> reads data from Prometheus to visualize metrics and set up alerts.<\/li>\n<\/ol>\n\n\n\n

      This configuration allows Grafana to act as a \u201cvisualization layer\u201d for all the data collected by Node Exporter and stored by Prometheus.<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n
      \n\n\n\n

      1. Setting Up Node Exporter<\/h2>\n\n\n\n

      Download and Install Node Exporter<\/strong>:<\/p>\n\n\n\n

      curl -LO https:\/\/github.com\/prometheus\/node_exporter\/releases\/download\/v1.3.1\/node_exporter-1.3.1.linux-amd64.tar.gz\ntar xvf node_exporter-1.3.1.linux-amd64.tar.gz\nsudo mv node_exporter-1.3.1.linux-amd64\/node_exporter \/usr\/local\/bin\/<\/pre>\n\n\n\n
      Run Node Exporter as a Service<\/strong>:<\/p>\n\n\n\n
      sudo vi \/etc\/systemd\/system\/node_exporter.service<\/pre>\n\n\n\n
      Insert this configuration:<\/strong><\/p>\n\n\n\n
      [Unit]\nDescription=Node Exporter\nAfter=network.target\n\n[Service]\nUser=nobody\nExecStart=\/usr\/local\/bin\/node_exporter\n\n[Install]\nWantedBy=default.target<\/pre>\n\n\n\n
      Start and Enable Node Exporter<\/strong>:<\/p>\n\n\n\n
      sudo systemctl daemon-reload\nsudo systemctl start node_exporter\nsudo systemctl enable node_exporter<\/pre>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      Verify Node Exporter<\/strong>:<\/p>\n\n\n\n
      Visit http:\/\/your-server-ip:9100\/metrics<\/code> to confirm that metrics are exposed.<\/p>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      \n\n\n\n
      2. Setting Up Prometheus<\/h2>\n\n\n\n
      Download and Install Prometheus<\/strong>:<\/p>\n\n\n\n
      curl -LO https:\/\/github.com\/prometheus\/prometheus\/releases\/download\/v2.33.1\/prometheus-2.33.1.linux-amd64.tar.gz\ntar xvf prometheus-2.33.1.linux-amd64.tar.gz\nsudo mv prometheus-2.33.1.linux-amd64\/prometheus \/usr\/local\/bin\/\nsudo mv prometheus-2.33.1.linux-amd64\/promtool \/usr\/local\/bin\/<\/pre>\n\n\n\n
      Configure Prometheus<\/strong>:<\/p>\n\n\n\n
      sudo mkdir -p \/etc\/prometheus\nsudo vi \/etc\/prometheus\/prometheus.yml<\/pre>\n\n\n\n
      Add this configuration:<\/strong><\/p>\n\n\n\n
      global:\n  scrape_interval: 15s\n\nscrape_configs:\n  - job_name: 'node_exporter'\n    static_configs:\n      - targets: ['localhost:9100']<\/pre>\n\n\n\n
      Set Up the Storage Directory<\/strong>:<\/p>\n\n\n\n
      Prometheus requires a data storage directory where it can write time-series data. This is a common setup issue if not configured.<\/p>\n\n\n\n
      Create the storage directory and set permissions: sudo mkdir -p \/var\/lib\/prometheus sudo chown -R prometheus:prometheus \/var\/lib\/prometheus<\/code><\/p>\n\n\n\n
      Add the --storage.tsdb.path<\/code> parameter to the Prometheus service file to specify this directory.<\/p>\n\n\n\n
      Configure and Run Prometheus as a Service<\/strong>:<\/p>\n\n\n\n
      sudo vi \/etc\/systemd\/system\/prometheus.service<\/pre>\n\n\n\n
      Add the following:<\/p>\n\n\n\n
      [Unit]\nDescription=Prometheus\nAfter=network.target\n\n[Service]\nUser=prometheus\nExecStart=\/usr\/local\/bin\/prometheus \\\n  --config.file=\/etc\/prometheus\/prometheus.yml \\\n  --storage.tsdb.path=\/var\/lib\/prometheus \\\n  --storage.tsdb.retention.time=7d\n\n[Install]\nWantedBy=default.target<\/pre>\n\n\n\n
      Start and Enable Prometheus<\/strong>:<\/p>\n\n\n\n
      sudo systemctl daemon-reload\nsudo systemctl start prometheus\nsudo systemctl enable prometheus<\/pre>\n\n\n\n
      Verify Prometheus<\/strong>:<\/p>\n\n\n\n
      Visit http:\/\/your-server-ip:9090<\/code> to check the Prometheus UI.<\/p>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      \n\n\n\n
      Troubleshooting: Unable to Start Prometheus Due to “Unable to Create mmap-ed Active Query Log” Error<\/h2>\n\n\n\n
      One common error when starting Prometheus is related to its storage directory:<\/p>\n\n\n\n
      Error Message: Unable to create mmap-ed active query log<\/pre>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      Solution<\/strong>: Ensure that Prometheus has write access to the specified storage directory (\/var\/lib\/prometheus<\/code> in this case) and that the --storage.tsdb.path<\/code> parameter is included in the service file.<\/p>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      After setting the correct permissions and specifying the storage path, restart Prometheus to resolve the issue:<\/p>\n\n\n\n
      sudo systemctl daemon-reload\nsudo systemctl restart prometheus<\/pre>\n\n\n\n
      \n\n\n\n
      Connecting Prometheus to Grafana<\/h3>\n\n\n\n
      Add Prometheus as a Data Source in Grafana<\/strong>:<\/p>\n\n\n\n
        \n
      1. <\/li>\n<\/ol>\n\n\n\n
          \n
        • Open Grafana.<\/li>\n\n\n\n
        • Go to Connections > Data Sources<\/strong> and click Add data source<\/strong>.<\/li>\n\n\n\n
        • Select Prometheus<\/strong> and enter http:\/\/localhost:9090<\/code> as the URL.<\/li>\n\n\n\n
        • Click Save & Test<\/strong>.<\/li>\n<\/ul>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          Create Dashboards in Grafana<\/strong>:<\/p>\n\n\n\n
          With Prometheus set as a data source, you can now create dashboards in Grafana using metrics from Node Exporter.<\/p>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \n\n\n\n
          Summary<\/h2>\n\n\n\n
          With Node Exporter and Prometheus, you now have a full monitoring stack:<\/p>\n\n\n\n
            \n
          • Node Exporter<\/strong> collects system-level metrics.<\/li>\n\n\n\n
          • Prometheus<\/strong> stores and serves metrics.<\/li>\n\n\n\n
          • Grafana<\/strong> visualizes data and enables alerting.<\/li>\n<\/ul>\n\n\n\n
            This setup provides a flexible and powerful monitoring solution, ideal for a variety of applications. Future posts could cover custom dashboards or setting up alerting rules to notify you when certain thresholds are met.<\/p>\n","protected":false},"excerpt":{"rendered":"
            In Part 1, we set up Grafana on a Linux server as a powerful visualization tool. Now, let\u2019s complete our monitoring stack by adding Node Exporter and Prometheus to collect and store system metrics for Grafana to display. In this guide, we\u2019ll walk through installing and configuring Node Exporter to collect system metrics, Prometheus to […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[63],"tags":[65,64],"class_list":["post-2231","post","type-post","status-publish","format-standard","hentry","category-monitoringstack","tag-grafana","tag-prometheus"],"yoast_head":"\nMonitoring Stack \u2013 Part 2: Building a Monitoring Stack with Node Exporter and Prometheus - \u6781\u7b80IT\uff5cSimpleIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ruianding.com\/blog\/monitoring-stack-part-2-building-a-monitoring-stack-with-node-exporter-and-prometheus\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Monitoring Stack \u2013 Part 2: Building a Monitoring Stack with Node Exporter and Prometheus - \u6781\u7b80IT\uff5cSimpleIT\" \/>\n<meta property=\"og:description\" content=\"In Part 1, we set up Grafana on a Linux server as a powerful visualization tool. Now, let\u2019s complete our monitoring stack by adding Node Exporter and Prometheus to collect and store system metrics for Grafana to display. 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