Abstract: A method for real-time capture and analysis of website performance metrics includes receiving, in each of a plurality of result servers, data values transmitted from a plurality of client devices, each data value representing a measurement of a performance metric associated with an experience of a user on a web page or using a web application, the measurement being made and the data value produced being transmitted in real-time while the user is on the web page or using the web application. For each data value received, a count in one of a set of N data buckets defined in a memory is incremented. All of the counts in each of the corresponding data buckets is aggregated to produce a histogram of the performance metric is rendered on an analytic dashboard.

Abstract: A method for real-time capture of actual user experiences on a website, web application or mobile app includes receiving, in first servers, one or more beacons, each containing data items. Each beacon is generated in real-time from a user session. The data items are aggregated in one or more first sets of N data buckets associated with each of the first servers. Each of the first servers transmits the data items of each of the N data buckets to a second server over a network, which further aggregates the data items received in one or more sets of N data buckets corresponding to and identically configured as the data buckets of the first servers. The corresponding data contents of the one or more second sets of N data buckets is aggregated into one or more final sets of N data buckets used in generating a real-time analytic dashboard.

Abstract: A method for real-time capture of actual user experiences on a website, web application or mobile app includes receiving, in first servers, one or more beacons, each containing data items. Each beacon is generated in real-time from a user session. The data items are aggregated in one or more first sets of N data buckets associated with each of the first servers. Each of the first servers transmits the data items of each of the N data buckets to a second server over a network, which further aggregates the data items received in one or more sets of N data buckets corresponding to and identically configured as the data buckets of the first servers. The corresponding data contents of the one or more second sets of N data buckets is aggregated into one or more final sets of N data buckets used in generating a real-time analytic dashboard.

Abstract: A method for real-time capture of actual user experiences on a website, web application or mobile app includes receiving, in first servers, one or more beacons, each containing data items. Each beacon is generated in real-time from a user session. The data items are aggregated in one or more first sets of N data buckets associated with each of the first servers. Each of the first servers transmits the data items of each of the N data buckets to a second server over a network, which further aggregates the data items received in one or more sets of N data buckets corresponding to and identically configured as the data buckets of the first servers. The corresponding data contents of the one or more second sets of N data buckets is aggregated into one or more final sets of N data buckets used in generating a real-time analytic dashboard.

Abstract: A method for real-time capture and analysis of website performance metrics includes receiving, in each of a plurality of result servers, data values transmitted from a plurality of client devices, each data value representing a measurement of a performance metric associated with an experience of a user on a web page or using a web application, the measurement being made and the data value produced being transmitted in real-time while the user is on the web page or using the web application. For each data value received, a count in one of a set of N data buckets defined in a memory is incremented. All of the counts in each of the corresponding data buckets is aggregated to produce a histogram of the performance metric is rendered on an analytic dashboard.