Amazon Technologies, Inc.

Srividhya Srinivasan

Anurag Windlass Gupta

Jakub Kulesza

Deepak Agarwal

Andrew Edward Caldwell

Bhaven Avalani

Ippokratis Pandis

Naresh Chainani

Michail Petropoulos

Martin Grund

Frederick Ryan Johnson

Burst performance of a database query may be determined according to a size of the database query. A query to a database may be received. A size may be determined for the query. If the size is less than a size threshold assigned to a first query engine, then the query may be performed at the first query engine. If the size is greater than or equal to the size threshold assigned to the first query engine, then the query may be performed at a second query engine.

Burst performance of database queries according to query size

A stateful cluster may implement scaling of the stateful cluster while maintaining access to the state of the stateful cluster. A scaling event for a stateful cluster may be detected, and in response the stateful cluster may be adjusted to include a different number of nodes. The state of the cluster may then be logically distributed among the different number of nodes according to a monotone distribution scheme. The adjusted node may then service access requests according to the monotone distribution scheme. Prior to making the adjusted storage cluster available for servicing access requests, the nodes from the original cluster may still service access requests for state.

Scaling stateful clusters while maintaining access

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Seattle, WA, United States of America

Srividhya Srinivasan