Microsoft Technology Licensing, LLC

Murray William Rogers

Matthew Ian Ronald Williams

David Charles Hotham

Joseph Ellis Darracott Powell

Sophie Stratton

Nicolas Harry Neate

Techniques are disclosed for allocating computing resources in a computing network of a cloud computing system, the computing resources comprising a plurality of computing devices hosting virtual machines. An expected usage profile is determined based on first data indicative of a current demand for computing resource usage in the computing network, second data indicative of an adjacent demand for computing resource usage in the computing network, third data indicative of a historical demand for computing resource usage in the computing network, and fourth data indicative of events that are external to the computing network.

Intelligent dynamic scaling based on internal and external indicators

A native restart controller restarts services in a controlled manner. The services run in a cloud computing environment comprising a plurality of computing devices executing a plurality of Kubernetes pods comprising one or more containers. An indication is received of a deployment defining a service to be implemented in the cloud computing environment, the deployment including a desired number of instances of the service. An API is instantiated that is operable to provide a first state indicative of whether restarts are to be controlled by the restart controller and a second state indicating that a restart is required. In response to receiving an indication that restarts for the cluster are to be controlled by the restart controller and that a restart is required, the instances are restarted in a sequence in accordance with restart criteria associated with the service.

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Enfield, United Kingdom

Murray William Rogers