Percona Live: Data Performance Conference 2016 Logo

April 18-21, 2016

Santa Clara, California

Introducing Amazon Aurora: A New MySQL-Compatible Database

Introducing Amazon Aurora: A New MySQL-Compatible Database

 20 April 03:30 PM - 04:20 PM @ Ballroom D
Experience level: 
50 minutes conference
Big Data
High Availability


Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. Learn how using Amazon Aurora allows you to: migrate existing MySQL databases, automatically grow database volumes up to 64TB, automatically replicate 6 copies of data across 3 Availability Zones, increase in throughput performance,and transparently fail over to ensure high-availability. Learning Objectives: • How to migrate existing MySQL databases to Amazon Aurora • How Amazon Aurora delivers up to 5x MySQL performance on similar hardware • How to automatically grow database volumes up to 64TB • How Amazon Aurora protects your data through automated replication and transparent fail over


Anurag Gupta's picture

Anurag Gupta

Vice President of Big Data Services, Amazon Web Services


Anurag Gupta is the Vice President of Big Data Services at AWS and is responsible for strategy and execution of Amazon Redshift, Amazon Aurora, Amazon Elastic Map Reduce and AWS Data Pipeline. Prior to joining AWS, Anurag held multiple engineering management and technology leadership roles across low-level systems and applications at a range of company sizes - from large enterprises to start-ups. What's been consistent however is a bias towards high-growth environments, early-version products and deep IP. He joined Amazon because he believes that cloud computing has transformational potential and is at least as large a shift as minicomputer, client-server, and app-server based computing were for prior generations. He also believes that there is a need for significant rethinking within the data processing community as we move from a design point focused on the sharing of scarce system resources to one where the central challenge is how to take advantage of their abundance.

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