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The response times are the times required for an application to respond to a user's actions at such a load. [2] The second set of performance metrics measures the computational resources used by the application for the load, indicating whether there is adequate capacity to support the load, as well as possible locations of a performance ...
The e-commerce reports show a site's transactions, revenue, and many other commerce-related metrics. [13] On September 29, 2011, Google Analytics launched Real-Time analytics, enabling a user to have insights about visitors currently on the site. [14] A user can have 100 site profiles. Each profile generally corresponds to one website.
Apdex (Application Performance Index) is an open standard developed by an alliance of companies for measuring performance of software applications in computing.Its purpose is to convert measurements into insights about user satisfaction, by specifying a uniform way to analyze and report on the degree to which measured performance meets user expectations.
Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.
Dynatrace, Inc. is an American multinational technology company that provides an observability platform. Their software is used to monitor, analyze, and optimize application performance, software development, cyber security practices, IT infrastructure, and user experience.
Dashboards are the 3rd step on the information ladder, demonstrating the conversion of data to increasingly valuable insights. [citation needed] Strategic dashboards support managers at any level in an organization and provide the quick overview that decision-makers need to monitor the health and opportunities of the business. Dashboards of ...
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Netdata provides A.I. insights for all monitored data, training machine learning models directly at the edge. [8] This allows for fully automated and unsupervised anomaly detection, and with its intuitive APIs and UIs, users can quickly perform root cause analysis and troubleshoot issues, identifying correlations and gaining deeper insights ...