Mongodb, Inc.

Amazon Technologies, Inc.

Mark Porter

Andrew Michalski Schwerin

Judah Schvimer

Tarik Moataz

Max Jacob Hirschhorn

Seny Kamara

Ryan Chipman

Tim Fogarty

Esha Maharishi

Randolph Tan

Samyukta Lanka

Lingzhi Deng

Grant Alexander Macdonald McAlister

Tanmoy Dutta

Cailin Anne Nelson

Dennis Tighe

Barry Bailey Hunter, Jr

Eric Andrew Milkie

Louisa Berger

John Morales

Matthew Walters

Siyuan Zhou

Therese Avitabile

Daniel William Gottlieb

Misha Tyulenev

Jonathan Balsano

Susan LoVerso

Bharath Subramanian Pichai

Rahul Nambiar

Tomer Yakir

Gregory Banks

Matthew Russotto

Jack Wearden

A Jesse Jiryu Davis

Garaudy Etienne

Kaloian Manassiev

Daniel Myers

Isabel Peters

Keith Smith

Donald Anderson

According to aspects of the disclosure, there is provided a scalable cloud distributed database system for hosting data of multiple database tenants. In some embodiments, the database may be serverless. The serverless database may be configured to automatically and dynamically match resources to workload demands for tenants of the database. Databases described herein may include replica sets hosting multiple tenants. Tenants may be migrated from one replica set to another replica set based on usage. Usage of tenants may be throttled during migration between replica sets. Tenants with lower usage may be selected for migration between replica sets. During migration, files containing both a document and a history of updates to the document may be migrated. Databases described herein may include multiple storage tiers having different read and/or write speeds.

Systems and methods for scalable database hosting data of multiple database tenants

According to some aspects, provided are systems and methods that implement end-to-end encryption, and provide implementation configured to secure information during execution of queries on an encrypted data source. Various embodiments include multiple encrypted multi-map data structures and associated encryption schemes configured to securely read, write, and delete information while supporting any one or more of the following features: snapshot security, multiple client support, efficient execution under concurrent operation, and resilience to client failures. In various embodiments, addressable multi-map data structures enable concurrent access, and allow correct operation under polynomial time constraints.

Systems and methods for end-to end-encryption with encrypted multi-maps

In some embodiments, an auto-index system may be provided to determine one or more candidate indexes to be automatically created in a database system. The auto-index system may determine if one or more criteria associated with creating the one or more candidate indexes are met. In response to determining that the one or more criteria associated with creating the one or more candidate indexes are met, the auto-index system may automatically create the one or more candidate indexes, for example, by an automation agent. The one or more criteria may also be associated with respective performance metrics of the database system.

Systems and methods for automatic index creation in database deployment

In some embodiments, a database cluster to cluster synchronization system may include multiple replicators coupled to a source database cluster and a destination database cluster, where the source and destination cluster may be shard clusters. Each of the multiple replicators may correspond to a respective subset of the source database cluster and configured to monitor changes of data on the respective subset of the source database cluster and translate the changes of data to one or more database operations to be performed on the destination cluster. The changes of data on the source database may be contained in respective change streams associated with each of the replicators.

Systems and methods for synchronizing between a source database cluster and a destination database cluster

A method is provided for resharding a sharded database sharded according to a first shard key. The method includes: receiving, by a processor an instruction to reshard the sharded database; receiving, at the processor, a new shard key to be used in a resharding process to reshard the sharded database; determining, by the processor, whether a duration of unavailability of the sharded database during the resharding process is less than a predetermined amount of time; and automatically performing, by the processor, the resharding process according to the new shard key to produce a resharded database, if the duration of unavailability is less than the predetermined amount of time. The method may be performed without users noticing a significant interruption to read/write operations from/to the database.

Methods and systems for automatically resharding a sharded collection of data

Resources hosted in different virtualization platforms may be managed across the different virtualization platform. Requests to perform types of actions with respect to a resource hosted in a type of virtualization platform may be received. Mapping information between types of actions and actions available via interfaces for different types of virtualization platforms may be evaluated to select actions for an interface of the type of virtualization platform that hosts the resource. The selected actions may then be performed via the interface to perform the action with regard to the resource.

Managing hosted resources across different virtualization platforms

Growing community of inventors

Seattle, WA, United States of America

Mark Porter