{"id":265451,"date":"2025-01-30T18:40:36","date_gmt":"2025-01-30T17:40:36","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/on-demand-monitoring-en\/"},"modified":"2025-01-30T18:40:36","modified_gmt":"2025-01-30T17:40:36","slug":"on-demand-monitoring-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/on-demand-monitoring-en\/","title":{"rendered":"On-Demand Monitoring"},"content":{"rendered":"<p>Description: On-Demand Monitoring refers to a system and application monitoring approach that is activated as needed, rather than being a continuous process. This method allows organizations to optimize resources and costs, as monitoring is only performed when anomalies are detected or specific analysis is required. In the context of cloud observability, this type of monitoring becomes especially relevant, as cloud architectures tend to be dynamic and scalable. The main features of On-Demand Monitoring include the ability to trigger alerts and data collection in real-time, as well as the flexibility to adapt to different environments and workloads. This enables IT and DevOps teams to respond quickly to emerging issues, improving operational efficiency and user experience. Additionally, by focusing on specific events, data overload is reduced, facilitating deeper and more targeted analysis. In various observability platforms, On-Demand Monitoring integrates with other tools, allowing users to customize their monitoring strategies and gain valuable insights into the performance and health of their applications and services.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: On-Demand Monitoring refers to a system and application monitoring approach that is activated as needed, rather than being a continuous process. This method allows organizations to optimize resources and costs, as monitoring is only performed when anomalies are detected or specific analysis is required. In the context of cloud observability, this type of monitoring [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[11860,11840],"glossary-tags":[12816,12796],"glossary-languages":[],"class_list":["post-265451","glossary","type-glossary","status-publish","hentry","glossary-categories-azure-monitor-en","glossary-categories-cloud-observability-en","glossary-tags-azure-monitor-en","glossary-tags-cloud-observability-en"],"post_title":"On-Demand Monitoring ","post_content":"Description: On-Demand Monitoring refers to a system and application monitoring approach that is activated as needed, rather than being a continuous process. This method allows organizations to optimize resources and costs, as monitoring is only performed when anomalies are detected or specific analysis is required. In the context of cloud observability, this type of monitoring becomes especially relevant, as cloud architectures tend to be dynamic and scalable. The main features of On-Demand Monitoring include the ability to trigger alerts and data collection in real-time, as well as the flexibility to adapt to different environments and workloads. This enables IT and DevOps teams to respond quickly to emerging issues, improving operational efficiency and user experience. Additionally, by focusing on specific events, data overload is reduced, facilitating deeper and more targeted analysis. 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