Abstract: Systems and methods for troubleshooting and performance analysis of a cloud-based service include receiving metrics over time from a plurality of analyzers, wherein the metrics include service-related metrics and network-related metrics related to a cloud-based service, wherein each analyzer of the plurality of analyzers is executed at one of a user device accessing the cloud-based service and in the cloud-based service, and wherein at least one analyzer is executed in the cloud-based service; analyzing the metrics to determine a status of the cloud-based service over the time; and identifying issues related to the cloud-based service utilizing the analyzed metrics over the time, wherein the issues include any of an issue on a particular user device, an issue in a network between a particular user device and the cloud service, and an issue within the cloud service.

Abstract: Systems and methods for troubleshooting and performance analysis of a cloud-based service include receiving metrics over time from a plurality of analyzers, wherein the metrics include service-related metrics and network-related metrics related to a cloud-based service, wherein each analyzer of the plurality of analyzers is executed at one of a user device accessing the cloud-based service and in the cloud-based service, and wherein at least one analyzer is executed in the cloud-based service; analyzing the metrics to determine a status of the cloud-based service over the time; and identifying issues related to the cloud-based service utilizing the analyzed metrics over the time, wherein the issues include any of an issue on a particular user device, an issue in a network between a particular user device and the cloud service, and an issue within the cloud service.

Abstract: A method for troubleshooting and performance analysis of a cloud based system, the method implemented by an analyzer service executed on one or more servers, and the analyzer service communicatively coupled to a network and to user devices, the method includes receiving results from execution of an analyzer application on each of the user devices, wherein the analyzer application is executed locally on user devices to perform tests comprising traceroutes and web page loads, and wherein the plurality of tests are performed both through the cloud based system to the network and directly to the network; processing the results to determine a status of the cloud based system and associated user devices communicating therewith; utilizing the status to identify bottlenecks and issues associated with the cloud based system and the network; and causing performance of remedial actions based on the identified bottlenecks and the issues.

Abstract: A method for troubleshooting and performance analysis of a cloud based system, the method implemented by an analyzer service executed on one or more servers, and the analyzer service communicatively coupled to a network and to user devices, the method includes receiving results from execution of an analyzer application on each of the user devices, wherein the analyzer application is executed locally on user devices to perform tests comprising traceroutes and web page loads, and wherein the plurality of tests are performed both through the cloud based system to the network and directly to the network; processing the results to determine a status of the cloud based system and associated user devices communicating therewith; utilizing the status to identify bottlenecks and issues associated with the cloud based system and the network; and causing performance of remedial actions based on the identified bottlenecks and the issues.

Abstract: A method for continuously authenticating a user of voice recognition services is described. According to the method a user is initially authenticated, with a user interface for a computer system that accepts vocal input, by comparing vocal input to a pre-recorded file corresponding to an approved user. The input from a current user is compared to an approved user profile corresponding to the approved user. A risk factor is determined based on a deviation of current user input to the user interface from the approved user profile. The current user is selectively re-authenticated based on the risk factor.