Abstract: A virtual storage appliance having multiple storage processors is installed in a virtualized execution environment. Each one of the multiple virtual storage processors is a virtual machine that executes in the virtualized execution environment. At the time the virtual storage appliance is installed, properties of virtual resources provided by the virtualized execution environment to the virtual storage processors are obtained. The virtual resources provided by the virtualized execution environment to the virtual storage processors are consumed by the virtual storage processors while processing Input/Output (I/O) requests that are received by the virtual storage processors from at least one consumer application. The virtual storage processors are automatically configured in response to the properties of the virtual resources provided by the virtualized execution environment that are obtained at the time the virtual storage appliance is installed.

Abstract: A virtual storage appliance having multiple storage processors is installed in a virtualized execution environment. Each one of the multiple virtual storage processors is a virtual machine that executes in the virtualized execution environment. At the time the virtual storage appliance is installed, properties of virtual resources provided by the virtualized execution environment to the virtual storage processors are obtained. The virtual resources provided by the virtualized execution environment to the virtual storage processors are consumed by the virtual storage processors while processing Input/Output (I/O) requests that are received by the virtual storage processors from at least one consumer application. The virtual storage processors are automatically configured in response to the properties of the virtual resources provided by the virtualized execution environment that are obtained at the time the virtual storage appliance is installed.

Abstract: A computer executes a predictive information discovery engine in an operating environment that includes execution of an application with which a user interacts to accomplish a task. Trigger signals are received from trigger components that monitor the user's interaction with the application and respond to user actions to generate the trigger signals. The trigger signals include signal-specific metadata obtained from a store of metadata including current context information about the user's use of the application. The trigger signals are automatically responded by (i) querying external data sources for information relevant to a current operating context as reflected in the signal-specific metadata, and (ii) for information returned in response to the querying, presenting the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task.

Abstract: Techniques are directed to a method performed by a computing device. The method includes (a) receiving, from a client via a network connection of the computing device, a first management request to manage a data storage system, the first management request being in a RESTful style, (b) generating, by the computing device, a second management request formatted in a non-RESTful style compliant with a back-end storage management protocol, (c) sending the second management request to a back-end storage management server, (d) receiving a first management response from the back-end storage management server in response to the second management request, the first management response being formatted in the non-RESTful style compliant with the back-end storage management protocol, (e) converting, by the computing device, the first management response into a second management response in the RESTful style, and (f) sending the second management response to the client via the network connection.