Abstract: The technology disclosed relates to processing events generated by Internet of Things (IoT) devices. In particular, it relates to storing a machine-readable declarative specification of stateful event processing of an automated multi-step progression of monitoring of Internet of Things (IoT) devices that generate events. It includes compiling into tangible memory, in response to the declarative specification, a state processing network that implements a multi-step progression of monitoring events generated by the IoT devices. The state processing network implements both the time based transition triggers and the event based transition triggers after being initiated by the IoT devices. Further, data structures, which record monitoring status of particular IoT devices, are compiled. Finally, the state processing network further selects an alternative action to trigger, and triggers the selected action using at least some data from a particular event being processed.

Abstract: The disclosed declarative framework implements a machine for multi-step progression of interaction with an entity. The framework is usable for a broad range of applications—providing a simple rule-based authoring tool for specifying elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Case-status states, a first filtering condition, and a count parameter that specifies a limit on a number of times within a time period in excess of which additional events with characteristics that match will be ignored or discarded are usable to determine whether to ignore or process an incoming event—throttling the rate at which certain actions occur. A workflow engine gets loaded with instructions derived from the states and event filtering conditions, for handling incoming machine-generated events. Once defined, the state machine is automatically generated and implemented based on the declarative input provided.

Abstract: The technology disclosed offers a declarative and visualization framework that implements a state machine for multi-step progression of interaction with an entity. The declarative framework is usable over and over for a broad range of applications because it provides a simple rule-based authoring tool that can be used for specifying different elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Once defined, the state machine is automatically generated and visually implemented based on the declarative input provided by a non-technical user.

Abstract: The technology disclosed relates to processing events generated by Internet of Things (IoT) devices. In particular, it relates to storing a machine-readable declarative specification of stateful event processing of an automated multi-step progression of monitoring of Internet of Things (IoT) devices that generate events. It includes compiling into tangible memory, in response to the declarative specification, a state processing network that implements a multi-step progression of monitoring events generated by the IoT devices. The state processing network implements both the time based transition triggers and the event based transition triggers after being initiated by the IoT devices. Further, data structures, which record monitoring status of particular IoT devices, are compiled. Finally, the state processing network further selects an alternative action to trigger, and triggers the selected action using at least some data from a particular event being processed.

Abstract: The technology disclosed offers a declarative framework that implements a machine for multi-step progression of interaction with an entity. The declarative framework is usable over and over for a broad range of applications because it provides a simple rule-based authoring tool that can be used for specifying different elements and components of a complex state machine, including state definitions, state transition triggers, state transition conditions and state transition actions. Once defined, the state machine is automatically generated and implemented based on the declarative input provided by a non-technical user.