Amazon Technologies, Inc.

Mohsen Azimi

Jacob Carr

Robert James Hanson

Alex Jennifer Tribble

Anil Gangolli

Evan Corriere

Jason Adonis Timmons

Xinrui Li

Sahil Sharma

Tristan Niles Cecil

Abhijit Prakash Bhatnagar

Huaqing Fang

Yusof Ganji

Techniques are disclosed to implement an adaptive testing service (ATS) capable of automatically generating test cases for a network service to adapt test coverage to observed behaviors of the network service. In embodiments, the ATS uses telemetry data from a production version of the network service to identify classes of testable behaviors. Test cases are generated for the behaviors and assigned weights based on frequency or recency metrics of the behaviors. The test cases are stored in a test case repository, and may be used to monitor the production version of the network service or verify code changes to a development version of the network service. The test case weights may be used to select which test cases to run or determine whether code changes should be accepted or rejected. The test cases are evolved over time to adapt to behavior changes in the network service.

Adaptive testing service that generates test cases from observed behaviors

To reduce the time, cost, and computational resources associated with writing to and reading from a non-volatile memory device multiple times, log data is stored in volatile memory of a computing device. The host device includes a file system that receives the log data from an application when the application sends an instruction to write the log data to the file system. Once the log data is stored in volatile memory, device data indicative of the rate at which log data is received by and transmitted from the computing device, and an amount of unused memory or other computational resources of the computing device, may be used to determine which services are permitted to access the log data, and whether to provide access to all of the log data or only a portion of the log data based on a sampling rate.

System for processing of log data in memory

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Seattle, WA, United States of America

Mohsen Azimi