Presented by:

E938adea42300181ed59bf9656f79e43

Jim Mlodgenski

Amazon Web Services

Jim has more than 20 years of experience developing data intensive applications and infrastructure. Prior to joining AWS, Jim was CTO at OpenSCG and CEO at StormDB, a Postgres-XC scalable public cloud solution. While at StormDB, Jim envisioned the offering and was responsible for all product development. Prior to StormDB, Jim was chief architect at EnterpriseDB, leading the firm’s technology direction, including its early cloud offerings and other product lines. Jim also very active in the PostgreSQL community, co-founding both the New York and Philadelphia PostgreSQL Meetup groups, co-organizing the largest PostgreSQL conferences, and serving on the Board of the PostgreSQL Foundation. Jim also speaks regularly at PostgreSQL and other open sources conferences.

No video of the event yet, sorry!

Amazon Aurora is a relational database service for OLTP workloads offered as part of Amazon Web Services (AWS). In this talk, we describe how Aurora brings a novel architecture to the relational database by pushing redo processing to a multi-tenant scale-out storage service, purpose-built for Aurora. We describe how doing so not only reduces network traffic, but also allows for fast crash recovery, failovers to replicas without loss of data, and fault-tolerant, self-healing storage.

Date:
2019 September 20 15:30
Duration:
20 min
Room:
Ballroom
Conference:
Silicon Valley 2019
Language:
Track:
Distributed SQL
Difficulty:
Medium