Google Inc.

Roy Peterkofsky

Martin Taillefer

Alexander Mohr

Anna Berenberg

William Earl

Jaidev Haridas

Kristian Kennaway

Jaroslaw Kowalski

Chandra Prasad

Michael Dahlin

Brent B Welch

Ozan Demir

Mikhail Basilyan

Timothy Smith

Jose Casillas

Philipp Keller

Brent Welch

A system comprises data processing hardware and memory hardware. The memory hardware is in communication with the data processing hardware, and stores instructions that, when executed on the data processing hardware, cause the data processing hardware to perform a plurality of operations. In some examples, one of the operations may include receiving instance management configuration data for a single-tenant software-as-a-service (SaaS) application. Another operation may include further include receiving an image of the single-tenant SaaS application. Yet another operation can include generating, by the control plane manager, a control plane based on the instance management configuration data. The control plane is configured to create multiple instances of the single-tenant SaaS application based on the received image, and to manage the instances of the single-tenant SaaS application based on the received instance management configuration data. Another operation may include executing the control plane on the data processing hardware.

Managing multi-single-tenant SaaS services

Systems, methods, devices, and other techniques for managing a computing resource shared by a set of online entities. A system can receive a request from a first online entity to reserve capacity of the computing resource. The system determines a relative priority of the first online entity and identifies a reservation zone that corresponds to the relative priority of the first online entity. The system determines whether to satisfy the request based on comparing (i) an amount of the requested capacity of the computing resource and (ii) an amount of the portion of unused capacity of the computing resource designated by the reservation zone that online entities having relative priorities at or below the relative priority of the first online entity are permitted to reserve.

Dynamic capacity optimization for shared computing resources segmented into reservation zones

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Mountain View, CA, United States of America

Roy Peterkofsky