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: 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: 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 monitoring system is provided that allows owners of monitoring accounts to share web monitoring data collected under the direction of the monitoring account. Account owners are able to interact with the monitoring system to identify recipient accounts for shared web monitoring data and apply permissions at a granular level so that portions of monitored data can be shared with varying permission levels. Grouping can also be employed by an account owner to facilitate efficient sharing of monitoring data to many recipient accounts. The monitoring system also provides analysis utilities that can be used by a recipient account to aggregate shared with owned data and generate related reports as desired.

Abstract: Systems and methods for website and application monitoring and testing inside from a private network are presented. An agent module resident on an agent device inside the secured network periodically sends an HTTP message to a controller server and receives an HTTP response. The agent module parses out a set of instructions from the content of the HTTP response and executes the instructions. The agent module collects and compiles responsive information resulting from the instructions being executed and sends the compiled information to the controller server for storage and reporting.

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.