Amazon Technologies, Inc.

F5 Networks, Inc.

Christopher James Bradfield

Gaurav D Ghare

Praveen Kumar Gattu

Nagesh V Honnalli

Ryan Nienhuis

Windowed queries with event-based open times are described for use in data analytics for streaming data. A window semantic may be used to define windowed queries of an analytics application that, when executed against an incoming data stream, open a window at a time when a first event associated with a grouping key is received by a windowed query. The window remains open for a predefined duration specified in the windowed query, and query results may be generated based on any events associated with the grouping key that are received while the window remains open. After a lapse of the predefined duration, the window closes, and the query results may be output in association with the window.

Windowed query with event-based open time for analytics of streaming data

A method, apparatus, and system are directed to managing traffic towards a tunnel in a network. The invention enables a network device, to extract data from a received packet. A deep packet inspection is employed that enables examination of the extracted data at virtually any layer of an OSI layered protocol of the packet. If the extracted data does not satisfy the flow criteria, a second packet may be inspected at a deep packet level to determine whether the data of the first and second packet satisfies the flow criteria. If the extracted data satisfies the flow criteria a tunnel is determined based, in part, on the flow criteria. The packet is associated with and forwarded towards the determined tunnel.

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Seattle, WA, United States of America

Christopher James Bradfield