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Preventing data loss in event driven continuous availability systems
Last updated:
Abstract:
Described herein is a method, system, and non-transitory computer readable medium for preventing data loss from both producer and consumer systems in continuous availability event-driven applications. The process for preventing data loss may replicate events at the broker level, and selectively receive replica events at the consumer level to account for the case the originally sent event is not received, while conserving computer and network resources. Alternatively, events and replica events may be received in duplicate. In either mode of reception, machine-learning may be used for implementing algorithms which further help to conserve resources and aid in preventing further data loss.
Status:
Grant
Type:
Utility
Filling date:
13 Aug 2019
Issue date:
18 Jan 2022