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NWDS Talk - An Introduction to Amazon Aurora - Sailesh Krishnamurthy

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Published on Nov 17, 2015

See more Northwest Database Society talks here:
http://db.cs.washington.edu/nwds/nwds...

Speaker: Sailesh Krishnamurthy, Amazon

Title: An Introduction to Amazon Aurora

Where: University of Washington, Seattle.
Computer Science and Engineering Department.
Paul Allen Center, Database Lab, CSE 405.

When: Friday, November 13th, 2015, 2:30pm - 3:20pm.

Abstract:

In this talk I will provide an architectural overview of Amazon Aurora, a new cloud-native relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

Aurora delivers up to five times the throughput of standard MySQL running on the same hardware. Aurora is delivered as a managed service (via Amazon RDS) that handles time-consuming tasks such as provisioning, patching, backup, recovery, failure detection, and repair. Aurora increases MySQL performance and availability by tightly integrating the database engine with an SSD-backed virtualized storage layer purpose-built for database workloads. Aurora's storage is fault-tolerant and self-healing. Disk failures are repaired in the background without loss of database availability. Aurora is designed to automatically detect database crashes and restart without the need for crash recovery or to rebuild the database cache. In addition, Aurora will also automatically failover to one of up to 15 read replicas.

Bio:

Sailesh Krishnamurthy is a Senior Engineering Manager at Amazon Web Services (AWS) where he leads engineering for the Amazon Aurora database kernel. Prior to AWS, Sailesh was at Cisco Systems via the acquisition of Truviso, a real-time streaming data analytics software company that he co-founded to commercialize his prior academic research. At Truviso, he built and managed the initial engineering, services and support teams and was also the original developer of the core platform. Sailesh is an authority in the field of data management with over a dozen published academic papers and several issued U.S. patents. He investigated the technical ideas at the heart of Truviso¹s products as part of his doctoral research on stream query processing, earning a Ph.D. in Computer Science from UC Berkeley in 2006. Prior to graduate work at Berkeley he worked at IBM on core database products and at Netscape on a Java virtual machine implementation. Sailesh has a Master¹s degree in Computer Science from Purdue University and a Bachelor¹s degree in Electrical Engineering from the Birla Institute of Technology and Science, Pilani, India.

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