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Varun K Tibrewal

from Newark, CA
Age ~35
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Also known as:
Varun L
Related to:
Yoshita TibrewalYash K Tibrewal, 31
Connected to:
Deepak S Tibrewala, 38Rajat Tibrewal, 50Ruchi Tibrewal, 43Lee T Tibstra, 65Danielle P Tibulski, 32Brenda Tiburcio, 40Cruz R Tiburcio, 40Gabriela Tiburcio, 27Grace Tiburcio, 69Luisa R Tiburcio, 45

Varun Tibrewal Phones & Addresses

  • Newark, CA
  • San Jose, CA
  • Kirkland, WA
  • Redmond, WA
  • Bellevue, WA
  • Pittsburgh, PA

Resumes

Resumes

Varun Tibrewal Photo 1

Software Engineer

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Location:
Redmond, WA
Industry:
Computer Software
Work:
Microsoft
Software Engineer
Infoworld Technologies Aug 2010 - Jun 2011
Software Developer
Education:
Carnegie Mellon University 2011 - 2013
Master of Science, Masters Pune Institute of Computer Technology 2006 - 2010
Bachelor of Engineering, Bachelors, Computer Engineering Bishops School Pune
Department of Technology, Savitribai Phule Pune University
Varun Tibrewal Photo 2

Varun Tibrewal

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Publications

Us Patents

Distributed Availability Groups Of Databases For Data Centers Including Different Commit Policies

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US Patent:
20180095836, Apr 5, 2018
Filed:
Jan 10, 2017
Appl. No.:
15/402756
Inventors:
- Redmond WA, US
Zhengguo Sun - Redmond WA, US
Varun Kunjbihari Tibrewal - Kirkland WA, US
Steven John Lindell - Bellevue WA, US
Sameer Arun Verkhedkar - Issaquah WA, US
Sandeep Lingam - Redmond WA, US
Colin Neville - Redmond WA, US
International Classification:
G06F 11/14
G06F 11/20
G06F 17/30
Abstract:
A Distributed Availability Group (DAG) spans two AGs, each spanning one or more replica nodes and functioning as primary or secondary AG. A primary AG is replicated to the secondary AG synchronously or asynchronously. A failover in the DAG results in the AGs swapping their roles. Multiple DAGs can be linked together as a chain, which provides many useful features including disaster recovery across geographical regions, massive read scale (numerous readable secondary nodes), online migration of databases (across different operating systems and computing environments). The systems using DAGs can replicate databases across multiple independent high availability (HA) failover clusters using complex replication topologies and allow for manual failover and failback. The systems allow chaining of multiple AGs to provision a treelike structure of replicas and numerous secondary replicas without impacting performance. The systems automatically seed new database replicas to facilitate building a complex topology of DAGs.

Distributed Availability Groups Of Databases For Data Centers Including Seeding, Synchronous Replications, And Failover

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US Patent:
20180095850, Apr 5, 2018
Filed:
Jan 10, 2017
Appl. No.:
15/402706
Inventors:
- Redmond WA, US
Zhengguo SUN - Redmond WA, US
Varun Kunjbihari TIBREWAL - Kirkland WA, US
Steven John LINDELL - Bellevue WA, US
Sameer Arun VERKHEDKAR - Issaquah WA, US
Sandeep LINGAM - Redmond WA, US
Colin NEVILLE - Redmond WA, US
International Classification:
G06F 11/20
G06F 17/30
G06F 11/14
Abstract:
A Distributed Availability Group (DAG) spans two AGs, each spanning one or more replica nodes and functioning as primary or secondary AG. A primary AG is replicated to the secondary AG synchronously or asynchronously. A failover in the DAG results in the AGs swapping their roles. Multiple DAGs can be linked together as a chain, which provides many useful features including disaster recovery across geographical regions, massive read scale (numerous readable secondary nodes), online migration of databases (across different operating systems and computing environments). The systems using DAGs can replicate databases across multiple independent high availability (HA) failover clusters using complex replication topologies and allow for manual failover and failback. The systems allow chaining of multiple AGs to provision a treelike structure of replicas and numerous secondary replicas without impacting performance. The systems automatically seed new database replicas to facilitate building a complex topology of DAGs.

Distributed Availability Groups Of Databases For Data Centers For Providing Massive Read Scale

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US Patent:
20180096023, Apr 5, 2018
Filed:
Jan 10, 2017
Appl. No.:
15/402729
Inventors:
- Redmond WA, US
Zhengguo SUN - Redmond WA, US
Varun Kunjbihari TIBREWAL - Kirkland WA, US
Steven John LINDELL - Bellevue WA, US
Sameer Arun VERKHEDKAR - Issaquah WA, US
Sandeep LINGAM - Redmond WA, US
Colin NEVILLE - Redmond WA, US
International Classification:
G06F 17/30
Abstract:
A Distributed Availability Group (DAG) spans two AGs, each spanning one or more replica nodes and functioning as primary or secondary AG. A primary AG is replicated to the secondary AG synchronously or asynchronously. A failover in the DAG results in the AGs swapping their roles. Multiple DAGs can be linked together as a chain, which provides many useful features including disaster recovery across geographical regions, massive read scale (numerous readable secondary nodes), online migration of databases (across different operating systems and computing environments). The systems using DAGs can replicate databases across multiple independent high availability (HA) failover clusters using complex replication topologies and allow for manual failover and failback. The systems allow chaining of multiple AGs to provision a treelike structure of replicas and numerous secondary replicas without impacting performance. The systems automatically seed new database replicas to facilitate building a complex topology of DAGs.

Distributed Availability Groups Of Databases For Data Centers Including Failover To Regions In Different Time Zones

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US Patent:
20180096068, Apr 5, 2018
Filed:
Jan 10, 2017
Appl. No.:
15/402781
Inventors:
- Redmond WA, US
Zhengguo SUN - Redmond WA, US
Varun Kunjbihari TIBREWAL - Kirkland WA, US
Steven John LINDELL - Bellevue WA, US
Sameer Arun VERKHEDKAR - Issaquah WA, US
Sandeep LINGAM - Redmond WA, US
Colin NEVILLE - Redmond WA, US
International Classification:
G06F 17/30
Abstract:
A Distributed Availability Group (DAG) spans two AGs, each spanning one or more replica nodes and functioning as primary or secondary AG. A primary AG is replicated to the secondary AG synchronously or asynchronously. A failover in the DAG results in the AGs swapping their roles. Multiple DAGs can be linked together as a chain, which provides many useful features including disaster recovery across geographical regions, massive read scale (numerous readable secondary nodes), online migration of databases (across different operating systems and computing environments). The systems using DAGs can replicate databases across multiple independent high availability (HA) failover clusters using complex replication topologies and allow for manual failover and failback. The systems allow chaining of multiple AGs to provision a treelike structure of replicas and numerous secondary replicas without impacting performance. The systems automatically seed new database replicas to facilitate building a complex topology of DAGs.
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Varun K Tibrewal from Newark, CA, age ~35 Get Report