In this session, we will deep dive into the exciting features of Amazon RDS for PostgreSQL, including new versions of PostgreSQL releases, new extensions and larger instances. We will also show benchmarks of new RDS instance types and their value proposition. We will also look at how high availability and read scaling works on RDS PostgreSQL. We will also explore lessons we have learned managing a large fleet of PostgreSQL instances, including important tunables and possible gotchas around pg_upgrade.
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.