Abstract: Systems and methods are provided for isolating performance variation in website monitoring. A set of geographically diverse monitoring agents are identified and a subset of baseline agents is selected from these monitoring agents. The baseline agents are those agents that are geographically close to the target website or otherwise enjoy reliable communications with the target website and are therefore less affected by network latencies. The frequency at which a target website is monitored is weighted in favor of the baseline agents in order to get an accurate baseline metric for the target website while also obtaining information regarding global accessibility of the website from the geographically disperse monitoring agents. The variations in sample frequency can be optimized for each particular set of baseline agents. The set of baseline agents can be pre-assigned or dynamically identified based on an analysis of the performance variation from each of the monitoring agents.

Abstract: Described herein are systems and methods for website or web based application monitoring and load testing. A server is configured to execute monitoring or load testing agents on various agent devices that are placed in various locations across a network. The agents receive a playback script from the server and execute the script to simulate a user session that is part of a website monitoring or load testing project. Execution of the playback script may cause the agent to send commands to a generic browser application that in turn carries out those commands. Alternatively, or in combination, execution of the script may cause the agent to simulate operating system commands such as mouse, keyboard, and voice commands. The results of the script execution by the agent are stored and sent back to the server for potential real time alerting notification and compilation into a related report. Methods for recording the playback scripts are also provided.

Abstract: Systems and methods are provided for isolating performance variation in website monitoring. A set of geographically diverse monitoring agents are identified and a subset of baseline agents is selected from these monitoring agents. The baseline agents are those agents that are geographically close to the target website or otherwise enjoy reliable communications with the target website and are therefore less affected by network latencies. The frequency at which a target website is monitored is weighted in favor of the baseline agents in order to get an accurate baseline metric for the target website while also obtaining information regarding global accessibility of the website from the geographically disperse monitoring agents. The variations in sample frequency can be optimized for each particular set of baseline agents. The set of baseline agents can be pre-assigned or dynamically identified based on an analysis of the performance variation from each of the monitoring agents.

Abstract: A system and method for visually and mathematically correlating website performance datasets with analytics datasets and optionally with back end application performance datasets in order to determine if variations in one dataset are caused by or related to variations in another dataset and simultaneously determines the cost of slow or unavailable websites by comparing expected traffic to actual traffic during the slow or errant period.