Amazon Technologies, Inc.

Dhaval Parmar

Gaurav Gupta

Mark Aran Aiken

Ankit Kumar

Raghunathan Kothandaraman

Deep Dixit

Sasanka Rajaram

Disclosed are various embodiments for filters and event schema for categorizing and processing streaming event data. An event may be generated by a service that describes user interaction a client application executable on a client device. The event may be received as a data structure in a first format. A filter, such as a regular expression filter, may be applied to the data structure to identify an event type for the event. The data structure may be converted from the first format to a second format in accordance with a common event schema able to be interpreted by virtual compute engines.

Filters and event schema for categorizing and processing streaming event data

Disclosed are various embodiments for event processing architecture for real-time user engagement. Events that describe user interactions with client applications are analyzed in real-time when received in a data stream. The events are compared to patterns specified, for example, by administrators. If a pattern is matched based on a comparison to events received in the data stream, a predetermined action may be performed. The processing of events may be performed by a compute engine, which may include a virtual machine or a thread implemented in a parallel computing arrangement.

Event processing architecture for real-time member engagement

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Seattle, WA, United States of America

Dhaval Parmar