Amazon Technologies, Inc.

Nishant Jain

Phillip H Pruett, Iv

Sameer Choudhary

Vishwas Narendra

Nikhil Shah

James Zuber

Tyler Michael Jung

Suchindra Yogendra Agarwal

Julien Jacques Ellie

Christopher Andrew Stephens

Zachary Thomas Crowell

Arvinth Ravi

Benjamin David Newman

Prathiban Mohanasundaram

Michael Sean Mayo

Hardik Navin Nagda

John Christopher Mikula

Divij Gupta

Bryan T Wilkinson

Pierre Vigneras

Janko Jerinic

Vijayasarathy Kannan

Nicholas Jacob Essenburg

Rajesh Sampath

Liming Ye

Slavcho Georgiev Slavchev

David Grant Emeny-Smith

Systems and methods are provided for efficiently maintaining a transaction sequence witness service to ensure that requests to read data provide consistent results across all storage nodes in a distributed system. When a storage node receives a request for a data object, the node may obtain&#x2014;from transaction sequence witness service&#x2014;the latest sequence number associated with the object. If the sequence number indicates the object has been modified in the period of time since the currently stored version was stored, the node can obtain the current version from persistent storage.

Witness service for ensuring data consistency in a distributed storage system

Systems and methods are provided for using a distributed cache architecture with different methods to load balance requests depending upon whether a requested data item is a freely-requested item (e.g., a 'hot key'). The cache may be implemented as a consistent hash ring, and most keys may be assigned to particular node based on a consistent hash. For hot key requests, the requests may be distributed among a subset of nodes rather than being assigned to a specific node using consistent hashing. When a witness service is used to ensure that cached data is fresh, verification requests for data regarding hot keys may be batched to avoid overloading the witness service with hot key requests.

Multi-tier cache for a distributed storage system

Technologies are described herein for scanning machine images using a scanning service to identify potential risks. The scanning service may be associated with a service provider network. A scan request is received at the scanning service that requests machine images to be scanned. One or more scans may be performed on each of the machine images. An execution environment may host a machine image during a scan of the machine image. Scan result data associated with the scans is stored. The scan result data may be used to provide scan results to the requestor.

Scanning machine images to identify potential risks

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Seattle, WA, United States of America

Nishant Jain