Abstract: The disclosed embodiments are directed toward monitoring and classifying encrypted network traffic. In one embodiment, a method is disclosed comprising intercepting an encrypted network request, the network request transmitted by a client device to a network endpoint; identifying a network service associated with the network endpoint based on unencrypted properties of the encrypted network request; identifying, based on the encrypted network request and a series of subsequent network requests issued by the client device, an action taken by the client device, the action comprising an activity performed during a session established with the network service; and updating a catalog of network interactions using the network service and the action.

Abstract: Disclosed herein are systems, devices, and methods for providing auto-scaling in a cluster of device instances. In one embodiment, a method is disclosed comprising updating, using a distributed counter, a metric associated with one or more instances executing a network application; identifying that the metric has exceeded a threshold defined in a scaling policy based on comparing the distributed counter to the scaling policy; identifying a command to execute in response to the metric exceeding the threshold; and executing the command to modify the one or more instances.

Abstract: The disclosed embodiments are directed toward monitoring and classifying encrypted network traffic. In one embodiment, a method is disclosed comprising intercepting an encrypted network request, the network request transmitted by a client device to a network endpoint; identifying a network service associated with the network endpoint based on unencrypted properties of the encrypted network request; identifying, based on the encrypted network request and a series of subsequent network requests issued by the client device, an action taken by the client device, the action comprising an activity performed during a session established with the network service; and updating a catalog of network interactions using the network service and the action.

Abstract: Disclosed herein are systems, devices, and methods for providing auto-scaling in a cluster of device instances. In one embodiment, a method is disclosed comprising updating, using a distributed counter, a metric associated with one or more instances executing a network application; identifying that the metric has exceeded a threshold defined in a scaling policy based on comparing the distributed counter to the scaling policy; identifying a command to execute in response to the metric exceeding the threshold; and executing the command to modify the one or more instances.

Abstract: Disclosed herein are systems, devices, and methods for providing auto-scaling in a cluster of device instances. In one embodiment, a method is disclosed comprising updating, using a distributed counter, a metric associated with one or more instances executing a network application; identifying that the metric has exceeded a threshold defined in a scaling policy based on comparing the distributed counter to the scaling policy; identifying a command to execute in response to the metric exceeding the threshold; and executing the command to modify the one or more instances.

Abstract: The disclosed embodiments are directed toward monitoring and classifying encrypted network traffic. In one embodiment, a method is disclosed comprising intercepting an encrypted network request, the network request transmitted by a client device to a network endpoint; identifying a network service associated with the network endpoint based on unencrypted properties of the encrypted network request; identifying, based on the encrypted network request and a series of subsequent network requests issued by the client device, an action taken by the client device, the action comprising an activity performed during a session established with the network service; and updating a catalog of network interactions using the network service and the action.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic peer-to-peer level of activity information maintenance and sharing without centralization. The disclosed systems and methods a peer-to-peer level of activity sharing mechanism involving sharing level of activity counter update instructions for use in updating a number of level of activity counters maintained locally by a peer receiving the instruction(s). A peer can use its local level of activity counters in determining whether impose a throttling mechanism.

Abstract: Disclosed herein are systems, devices, and methods for providing auto-scaling in a cluster of device instances. In one embodiment, a method is disclosed comprising updating, using a distributed counter, a metric associated with one or more instances executing a network application; identifying that the metric has exceeded a threshold defined in a scaling policy based on comparing the distributed counter to the scaling policy; identifying a command to execute in response to the metric exceeding the threshold; and executing the command to modify the one or more instances.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic peer-to-peer level of activity information maintenance and sharing without centralization. The disclosed systems and methods a peer-to-peer level of activity sharing mechanism involving sharing level of activity counter update instructions for use in updating a number of level of activity counters maintained locally by a peer receiving the instruction(s). A peer can use its local level of activity counters in determining whether impose a throttling mechanism.

Abstract: An approach is provided for utilizing a scalable data structure. A query specifying an entity identifier and requested content is received. A search is caused, at least in part, the search based on the entity identifier of a profile index of data structures, each specifying a profile field that is associated with an access control field to yield a search result. Access rights to the requested content are indicated for the entity identifier. The data structures further include the profile field and the access control field.

Abstract: An approach is provided for message routing to services. A publish request associated with a service is received from a user equipment. A query is generated to determine a plurality of locations of the service. Each location corresponds respectively to a plurality of clusters. Transmission of the query is initiated to a home locator. The locations from the home locator are received. One of the locations is selected. Transmission of the publish request to the selected location is initiated.