Abstract: In order to use zero trust network resources distributed across multiple gateways, an agent is deployed on an endpoint of an enterprise network. The agent maps requests for specific applications to corresponding gateways. The agent may also multiplex or otherwise aggregate communications among different network applications and gateways in order to provide seamless, transparent access to the distributed resources at a single endpoint, and/or within a single interface.

Abstract: In order to use zero trust network resources distributed across multiple gateways, an agent is deployed on an endpoint of an enterprise network. The agent maps requests for specific applications to corresponding gateways. The agent may also multiplex or otherwise aggregate communications among different network applications and gateways in order to provide seamless, transparent access to the distributed resources at a single endpoint, and/or within a single interface.

Abstract: Scalable handling of billing events that affect one or more accounts. A computing system partitions received events into a number of channels, perhaps by account identifier. The channels receive the events, process the events, and forwards the events to an aggregator to allow the events to be aggregated by account to allow for easier computation of a bill. The aggregator also performs de-duplication of events to help reduce the risk of double billing.

Abstract: A computing system partitions received events into a number of channels by account identifier. The channels receive the events and perform de-duplication of the events. This de-duplication can be performed with a filter that is updated to reflect the receipt of any original event. The filter may be used to either determine that the event is not a duplicate of another, or to determine that the event cannot be ruled out as being a duplicate of another. In the latter case, further processing may be performed to for definitively determine whether the event is truly a duplication, or in the alternative, the event may be immediately treated as a duplicate.

Abstract: Scalable handling of billing events that affect one or more accounts. A computing system partitions received events into a number of channels, perhaps by account identifier. The channels receive the events, and perform de-duplication of the events. This de-duplication may be performed using a Bloom filter that is updated to reflect the receipt of any original event. The Bloom filter may be used to either determine that the event is not a duplicate of another, or to determine that the event cannot be ruled out as being a duplicate of another. In the latter case, further processing may be performed to for definitively determine whether the event is truly a duplication, or in the alternative, the event may be immediately treated as a duplicate.

Abstract: Scalable handling of billing events that affect one or more accounts. A computing system partitions received events into a number of channels, perhaps by account identifier. The channels receive the events, process the events, and forwards the events to an aggregator to allow the events to be aggregated by account to allow for easier computation of a bill. The aggregator also performs de-duplication of events to help reduce the risk of double billing.

Abstract: Scalable handling of billing events that affect one or more accounts. A computing system partitions received events into a number of channels, perhaps by account identifier. The channels receive the events, and perform de-duplication of the events. This de-duplication may be performed using a Bloom filter that is updated to reflect the receipt of any original event. The Bloom filter may be used to either determine that the event is not a duplicate of another, or to determine that the event cannot be ruled out as being a duplicate of another. In the latter case, further processing may be performed to for definitively determine whether the event is truly a duplication, or in the alternative, the event may be immediately treated as a duplicate.

Abstract: Scalable handling of billing events that affect one or more accounts. A computing system partitions received events into a number of channels, perhaps by account identifier. The channels receive the events, and perform de-duplication of the events to help reduce the risk of double billing. The channel then assigns the event a channel specific sequence number. The sequenced events may perhaps then be aggregated by account to allow for easier computation of a bill.