Microsoft Technology Licensing, LLC

Srikanth Raghavan

Saad Syed

Ajay Mani

Abhishek Kumar Singh

Embodiments are directed to implementing rate controls to limit faults detected by timeout and to learning and adjusting an optimal timeout value. In one scenario, a computer system identifies cloud components that have the potential to fail within a time frame that is specified by a timeout value. The computer system establishes a number of components that are allowed to fail during the time frame specified by the timeout value and further determines that the number of component failures within the time frame specified by the timeout value has exceeded the established number of components that are allowed to fail. In response, the computer system increases the timeout value by a specified amount of time to ensure that fewer than or equal to the established number of components fail within the time frame specified by the timeout value.

Implementing rate controls to limit timeout-based faults

Embodiments are directed to establishing a model for testing cloud components and to preventing cascading failures in cloud components. In one scenario, a computer system models identified cloud components (including cloud hardware components and/or cloud software components) as health entities. Each health entity is configured to provide state information about the cloud component. The computer system establishes declarative safety conditions which declaratively describe cloud computing conditions that are to be maintained at the identified cloud components. The computer system then tests against the declarative safety conditions to determine which cloud components are or are becoming problematic. Upon determining that an error has occurred, the computer system notifies users of the error and the component at which the error occurred. Guarded interfaces are established to ensure that actions taken to fix the error do not cause further failures.

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Srikanth Raghavan