Amazon Aurora: A deep-dive into what's new
Amazon Aurora is a fully managed relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is purpose-built for the cloud using a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously possible using conventional monolithic database architectures. Amazon Aurora packs a lot of innovations in the engine and storage layers. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, new improvements to Aurora's performance, availability and cost-effectiveness and discuss best practices and optimal configurations.
Senior Engineering Manager, Amazon Web Services
Sailesh Krishnamurthy is a Senior Engineering Manager at Amazon Web Services (AWS) where he leads engineering for the Amazon Aurora database engine compatible with MySQL. 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 Truviso's 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 Master´s degree in Computer Science from Purdue University and a Bachelor´s degree in Electrical Engineering from the Birla Institute of Technology and Science, Pilani, India.