Abstract: Aspects of the present disclosure are directed to obscuring objects and faces in data streams using machine learning. A data stream captured at a client device associated with a user can be processed to recognize objects in the data stream. Based on user preferences that define object sharing rules, one or more of the recognized objects can be obscured from the data stream. For example, when user's data stream is displayed to other users, such as during a video broadcast, objects in the user's data stream can be obscured. User preferences and object sharing rules can be defined using a preview of the data stream and explicit input from the user with respect to recognized objects in the preview. Other example user preferences and sharing rules include rules for recognized faces, rules relative to an object's location in the data stream, rules or objects in motion, etc.

Abstract: A system and method for optimizing use of idle server connections comprises receiving, at a first network traffic management device of a cluster, a request from a client device to access a server. The first network traffic management device reserve an idle flow connection from an idle connection pool previously established between at least a second network traffic management device and the server. A flow cookie is retrieved from the second network traffic management device. The flow cookie comprises routing information associated with the retrieved idle flow connection, whereby the flow cookie is modified to represent the connection between the server and the first network traffic management device. The updated flow cookie is incorporated into the received request and forwarded to the server, wherein a server response contains the updated flow cookie such that the response is received by the first network traffic management device.