Abstract: Techniques for resource access throttling are described. In implementations, access to a network resource can be controlled based on a variety of factors, such as a type of user requesting access to the network resource. For example, consider a scenario where an online content store is preparing to launch. To prevent resources associated with the online content store from being overwhelmed by the number of requests for access when the store is launched, techniques can be implemented to throttle the number of requests that are granted. For instance, requests for access can be throttled based on different user types.

Abstract: Techniques for resource access throttling are described. In implementations, access to a network resource can be controlled based on a variety of factors, such as a type of user requesting access to the network resource. For example, consider a scenario where an online content store is preparing to launch. To prevent resources associated with the online content store from being overwhelmed by the number of requests for access when the store is launched, techniques can be implemented to throttle the number of requests that are granted. For instance, requests for access can be throttled based on different user types.

Abstract: Techniques for resource access throttling are described. In implementations, access to a network resource can be controlled based on a variety of factors, such as a type of user requesting access to the network resource. For example, consider a scenario where an online content store is preparing to launch. To prevent resources associated with the online content store from being overwhelmed by the number of requests for access when the store is launched, techniques can be implemented to throttle the number of requests that are granted. For instance, requests for access can be throttled based on different user types.

Abstract: Techniques for resource access throttling are described. In implementations, access to a network resource can be controlled based on a variety of factors, such as a type of user requesting access to the network resource. For example, consider a scenario where an online content store is preparing to launch. To prevent resources associated with the online content store from being overwhelmed by the number of requests for access when the store is launched, techniques can be implemented to throttle the number of requests that are granted. For instance, requests for access can be throttled based on different user types.

Abstract: A computing systems data reporting system is comprised of a processing component and a reporting component. The processing component includes a configuration file and a system analysis and aggregation executable program module. The system analysis and aggregation executable module utilizes the input and output directory information from the configuration file to collect performance, usage and security data from sources such as those described above. The reporting component comprises an XML output memory component for storing aggregated data received from the executable module of the processing component. As XML data is passed to the reporting component, the XML data is transformed for publication via an Internet-based web page such that the data is viewable by interested users on a near real-time basis.