In this training session, we will combine an extended deep dive on the Aurora architecture with a hands on lab using Aurora PostgreSQL. As part of the deep dive we will cover the unique features and changes that work together to produce improved scalability, availability and durability.
In addition, you will get a hands-on experience creating an Aurora PostgreSQL cluster, configuring that cluster for high availability and read scaling as well as point in time recovery, and cloning your cluster. We will also walk through failover, promotion and the best practices around parameter settings based on application workload.
Jignesh Shah is Product Manager for Amazon RDS with Amazon Web Services. At AWS he works on PostgreSQL engines at AWS including Amazon RDS PostgreSQL and Amazon Aurora with PostgreSQL compatibility. He has worked with PostgreSQL since 2005 and has released application and database lifecyle products using PostgreSQL at appOrbit and VMware. He is an active member of the PostgreSQL community for a long time publishing a first standards accepted benchmark using PostgreSQL when he was at Sun Microsystems. His interests are in Cloud technologies involving Operating Systems, Containers and Databases.