Amazon Technologies, Inc.

Bruce William McGaughy

Ippokratis Pandis

Eric Ray Hotinger

Naresh Chainani

William Michael McCreedy

Chao Duan

Yan Valerie Leshinsky

Pavel Sokolov

Davide Pagano

Sanjay Wangoo

Neeraja Rentachintala

Christos Stavrakakis

Arvind Jayasundar

Yousuf Hussain Syed Mohammad

Bin Zhang

Hitenkumar Sonani

Sebastian Hillig

Kathiravan Kalimuthu

Zhixing Ma

Pulkit Jagdishchandra Bhavsar

Idle periods may be for management actions at processing clusters for managed databases. A leader node of a processing cluster for a managed database may monitor a network endpoint at a proxy service associated with a database managed by the database service. An idle period for the database may be detected. A management action for the processing cluster may be determined to be performed during the detected idle period. The leader node may cause the determined management action to be performed.

Detecting idle periods at network endpoints for management actions at processing clusters for managed databases

Database query processing may be scaled using additional processing clusters. A database query is received at a processing cluster. A determination is made as to whether additional processing clusters will be used to process the database query. Operations to cause compute nodes of the processing cluster to instruct operations at the additional processing clusters are included in a plan generated to perform database queries determined to use additional processing clusters. The plan is executed to be perform the database query causing compute nodes of the processing cluster to send instructions to corresponding additional processing clusters in order to generate and return a response to the database query.

Scaling database query processing using additional processing clusters

A database service may distribute resources across different geographic locations or other infrastructures to increase availability of the resources and may provide multiple locations to access resources and isolate failure of resources to a respective location or infrastructure. The processing resources in differing fault tolerance zones may be able to continue operating in the event of an outage impacting an entire fault tolerance zone. The database service may generate a supporting processing cluster in the differing fault tolerance zone that handles at least a portion of the access requests of an initial processing cluster. The database service may provision the supporting processing cluster in a separate fault tolerance zone that has a similar capacity and may provision and maintain the cluster in order to preclude the potential of not having sufficient capacity to recover upon failure of a single fault tolerance zone.

Access requests processing and failover handling across multiple fault tolerance zones

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Mercer Island, WA, United States of America

Bruce William McGaughy