Description: Scraping, in the context of system monitoring, refers to the process of collecting metrics from configured endpoints at specified intervals. This mechanism allows monitoring tools to obtain performance and status data from various applications and services, thus facilitating system supervision and analysis. Through this process, tools can store and query metrics in their databases, allowing users to track the behavior of their applications over time. Scraping is based on the pull data collection model, where the monitoring tool is responsible for requesting metrics from the endpoints exposed by the applications, instead of receiving data via a push method. This methodology ensures that the data is up-to-date and accurate, allowing developers and system administrators to have a clear view of their services’ performance. Additionally, scraping can be configured to adapt to different needs, such as adjusting the collection frequency or specifying which metrics are relevant for monitoring. In summary, scraping is a fundamental feature in system monitoring that enables the efficient and effective collection of metrics for the supervision of complex environments.<\/p>\n","protected":false},"excerpt":{"rendered":"
Description: Scraping, in the context of system monitoring, refers to the process of collecting metrics from configured endpoints at specified intervals. This mechanism allows monitoring tools to obtain performance and status data from various applications and services, thus facilitating system supervision and analysis. Through this process, tools can store and query metrics in their databases, […]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"_yoast_wpseo_metadesc":"Scraping, in the context of system monitoring, refers to the process of collecting metrics from configured endpoints at specified intervals. This\u2026","glosarix_cat":"monitorizacion","footnotes":""},"glossary-categories":[13577],"glossary-tags":[],"glossary-languages":[],"class_list":["post-340478","glossary","type-glossary","status-publish","hentry","glossary-categories-monitoring-and-alerting"],"post_title":"Scraping (system monitoring)","post_content":"Description: Scraping, in the context of system monitoring, refers to the process of collecting metrics from configured endpoints at specified intervals. This mechanism allows monitoring tools to obtain performance and status data from various applications and services, thus facilitating system supervision and analysis. Through this process, tools can store and query metrics in their databases, allowing users to track the behavior of their applications over time. Scraping is based on the pull data collection model, where the monitoring tool is responsible for requesting metrics from the endpoints exposed by the applications, instead of receiving data via a push method. This methodology ensures that the data is up-to-date and accurate, allowing developers and system administrators to have a clear view of their services' performance. Additionally, scraping can be configured to adapt to different needs, such as adjusting the collection frequency or specifying which metrics are relevant for monitoring. In summary, scraping is a fundamental feature in system monitoring that enables the efficient and effective collection of metrics for the supervision of complex environments.","acf":[],"yoast_head":"\n