Abstract: Cloud-based testing of applications allows an application under test (AUT) to be subjected to test loads mimicking expected high volume real-time production loads. Test loads can be applied from geographically distributed test load sources. During testing, the system can monitor usage of AUTs and the underlying cloud infrastructure (virtual machines, test servers, etc.) on which the AUT is executing. An AUT can be scaled, for instance, additional instances of the application can be started, and additional virtual machines can be configured and test servers provisioned if AUT or infrastructure usage exceeds specified thresholds during testing. A testing services provider can supply a web-based unified management console from which admins and test users can manage AUT testing.

Abstract: Methods and systems for monitoring and controlling a service level agreement are disclosed. A disclosed embodiment comprises a cloud platform hosting at least one application associated with at least one service level agreement, a monitoring module for collecting at least one metric relating to an application hosted on the cloud platform and terms of a service level agreement associated with each of the one or more metrics, and monitoring the metric collected against a service level objective in the service level agreement. The system may additionally comprise a controlling module for mapping a service level objective to a predefined operation rule, identifying one or more actions to be taken in accordance with the rule, assigning a priority to the one or more actions identified in accordance with the rule; and performing the one or more actions in accordance with the assigned priority of each of the one or more actions.

Abstract: Cloud-based testing of applications allows an application under test (AUT) to be subjected to test loads mimicking expected high volume real-time production loads. Test loads can be applied from geographically distributed test load sources. During testing, the system can monitor usage of AUTs and the underlying cloud infrastructure (virtual machines, test servers, etc.) on which the AUT is executing. An AUT can be scaled, for instance, additional instances of the application can be started, and additional virtual machines can be configured and test servers provisioned if AUT or infrastructure usage exceeds specified thresholds during testing. A testing services provider can supply a web-based unified management console from which admins and test users can manage AUT testing.

Abstract: Systems and methods for deriving a service level agreement for an application hosted on a cloud platform are defined. In accordance with at least one embodiment, deriving the service level agreement comprises packaging the application for deployment on a cloud platform, executing the packaged application in a sandboxed environment and capturing one or more application performance characteristics thereby, executing the packaged application in a sandboxed virtualized platform and further capturing one or more application performance characteristics thereby, mapping the one or more captured application performance characteristics to one or more service level objectives, and deriving a service level agreement on the basis of the one or more service level objectives, wherein the service level agreement comprises at least one of the one or more service level objectives.

Abstract: Methods and systems for monitoring and controlling a service level agreement are disclosed. A disclosed embodiment comprises a cloud platform hosting at least one application associated with at least one service level agreement, a monitoring module for collecting at least one metric relating to an application hosted on the cloud platform and terms of a service level agreement associated with each of the one or more metrics, and monitoring the metric collected against a service level objective in the service level agreement. The system may additionally comprise a controlling module for mapping a service level objective to a predefined operation rule, identifying one or more actions to be taken in accordance with the rule, assigning a priority to the one or more actions identified in accordance with the rule; and performing the one or more actions in accordance with the assigned priority of each of the one or more actions.