Amazon has been granted a patent for a method that uses access logs to generate simulated traffic patterns for load testing services. The method involves obtaining request information from access logs, storing data indicative of request timelines, assigning requests to computing nodes based on location, and causing the nodes to send requests to services. GlobalData’s report on Amazon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Load testing services using access logs for simulated traffic patterns
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A recently granted patent (Publication Number: US11888943B1) outlines a computer-implemented method and system for load testing services operating on a provider network. The method involves obtaining request information from access logs, storing data indicative of a timeline of requests, assigning requests to computing nodes based on the timeline data, and causing the computing nodes to send requests to a computing device associated with the services. The requests are based on request characteristics such as protocol, method, resource location, query parameter, or data value.
Furthermore, the system described in the patent includes instructions stored on one or more memories that, when executed by processors, store data indicative of a pattern of events based on access logs, assign events to computing nodes, and cause the nodes to send messages indicative of the events. The events are associated with event characteristics like protocol, method, resource location, query parameter, or data value. The system can also scale events, generate placeholder data, and assign events to computing nodes based on geographic regions. Additionally, a non-transitory computer-readable storage medium is disclosed with instructions for storing event data, assigning events to computing nodes, and sending messages based on event characteristics. The patent emphasizes the efficient load testing of services by organizing and analyzing request and event data to optimize performance and resource allocation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
