Deepti Srivastava from Beaverton, OR

Resumes

Deepti Srivastava

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Location:

United States

Deepti Srivastava

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Location:

Beaverton, Oregon

Industry:

Information Technology and Services

Skills:

Testing
Test Planning
Test Cases
Excel
PowerPoint
Microsoft Excel
Waterfall
SharePoint
Quality Assurance
Agile Methodologies
Regression Testing
Quality Center
JIRA

Deepti Srivastava

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Deepti Srivastava

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Deepti Srivastava

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Deepti Srivastava

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News

Google launches beta of Cloud Spanner, a managed version of its internal database

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miliar relational database environment. Its ideal for operational workloads supported by traditional relational databases, including inventory management, financial transactions, and control systems, that are outgrowing those systems, Google product manager Deepti Srivastava wrote in a blog post.

Date

Feb 14, 2017

Source:

Google

Google's new cloud service is a unique take on a database

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Heudecker did point out that the service will require companies to port existing applications, which may prove challenging. Google is working with partners to help customers move over, according to Deepti Srivastava, the product manager for Cloud Spanner.

Date

Feb 14, 2017

Category:

Sci/Tech

Source:

Google

Publications

Us Patents

Adaptive Cluster Timer Manager

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US Patent:

20100211959, Aug 19, 2010

Filed:

Feb 13, 2009

Appl. No.:

12/371534

Inventors:

Wilson Chan - San Mateo CA, US
Deepti Srivastava - San Francisco CA, US
Tolga Yurek - Foster City CA, US
Yu Kin Ho - Fremont CA, US
John Hsu - Sunnyvale CA, US
Tak Fung Wang - Redwood City CA, US
Angelo Pruscino - Los Altos CA, US

Assignee:

ORACLE INTERNATIONAL CORPORATION - Redwood Shores CA

International Classification:

G06F 9/46

US Classification:

718107

Abstract:

Described herein are techniques for adaptively managing timers that are used in various layers of a node. In many cases, the number of timers that occur in the system is reduced by proactively and reactively adjusting values of the timers based on conditions affecting the system, thereby making such a system to perform significantly better and more resiliently than otherwise.