Amazon Technologies, Inc.

Naveen Anand Subramaniam

Gaurav Gupta

Jacob Carr

Brian Thomas Kachmarck

Aaron Ben Fernandes

Paul David Franklin

Anil M Kumar

James Caleb Kirschner

Rishabh Animesh

Brian Gouldsberry

Qingqing Xiao

First audit information corresponding to a first set of log entries associated with a transformation performed on first data is obtained, where the first audit information includes a first commutative result produced by applying a commutative function to object identifiers associated with the first set of log entries. Second audit information corresponding to a second set of log entries associated with the transformation performed on second data is obtained, with the second data being a different representation of the first data and where the second audit information includes a second commutative result produced by applying the commutative function to object identifiers associated with the second set of log entries. The first commutative result is compared with the second commutative result to validate whether the second data matches the first data. One or more actions are performed depending on whether the second data is the successful transformation of the first data.

Audit correctness of asynchronous batch transformation systems

Items within a data set can be redistributed to different partitions of a distributed data store according to modified hash values. A redistribution event may, in some embodiments, trigger the redistribution of a data set. Modified hash values for items in the data set may be generated according to a secondary hashing scheme to be used for identifying the location of a new partition to store the item instead of hash values based on current key values that identify a current partition that stores the item. Access can be provided to items based on the modified hash values to determine the new partition that stores the item after redistribution.

Redistributing a data set amongst partitions according to a secondary hashing scheme

A computing resource service provider may provide customers with access to various services provided by a set of service endpoints. During certain intervals of time increased network traffic may cause an increase in the consumption of computing resources of the set of service endpoints. A throttling trigger may be detected that may cause one or more routing devices to reroute network traffic to one or more lower tier routing devices. The lower tier routing devices may maintain throttling information and forward network traffic to the set of service endpoints.

Shaping network traffic using throttling decisions

Growing community of inventors

Seattle, WA, United States of America

Naveen Anand Subramaniam