{"id":279333,"date":"2025-02-24T19:22:26","date_gmt":"2025-02-24T18:22:26","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/prometheus-metrics-en\/"},"modified":"2025-02-24T19:22:26","modified_gmt":"2025-02-24T18:22:26","slug":"prometheus-metrics-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/prometheus-metrics-en\/","title":{"rendered":"Prometheus Metrics"},"content":{"rendered":"<p>Description: Prometheus metrics are data collected by the open-source monitoring and alerting system Prometheus, designed for real-time metric collection. These metrics are stored in a time-series database, allowing for detailed analysis of application and system performance and health. Prometheus uses a label-based data model, making it easy to organize and filter metrics. Metrics can encompass a wide range of information, from CPU and memory usage to application response times. Grafana, a popular data visualization tool, integrates seamlessly with Prometheus, allowing users to create interactive dashboards and graphs that visually represent these metrics. This enhances data understanding and facilitates the identification of trends and anomalies in system performance. The combination of Prometheus and Grafana has become a standard in system observability, providing development and operations teams with powerful tools for proactive monitoring and troubleshooting.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Prometheus metrics are data collected by the open-source monitoring and alerting system Prometheus, designed for real-time metric collection. These metrics are stored in a time-series database, allowing for detailed analysis of application and system performance and health. Prometheus uses a label-based data model, making it easy to organize and filter metrics. Metrics can encompass [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-279333","glossary","type-glossary","status-publish","hentry"],"post_title":"Prometheus Metrics ","post_content":"Description: Prometheus metrics are data collected by the open-source monitoring and alerting system Prometheus, designed for real-time metric collection. These metrics are stored in a time-series database, allowing for detailed analysis of application and system performance and health. Prometheus uses a label-based data model, making it easy to organize and filter metrics. Metrics can encompass a wide range of information, from CPU and memory usage to application response times. Grafana, a popular data visualization tool, integrates seamlessly with Prometheus, allowing users to create interactive dashboards and graphs that visually represent these metrics. This enhances data understanding and facilitates the identification of trends and anomalies in system performance. 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