Presto at Meta: A Guide to Tuning Clusters at Enormous Scale

Presto at Meta: A Guide to Tuning Clusters at Enormous Scale

Facebook operates Presto at an enormous scale. A critical part of the success of Presto is properly tuning the clusters according to the use case they target. Swapnil Tailor, Basar Onat and Tim Meehan describe important session properties and configuration properties used to configure Presto, and guidance on when and how to use them.

Querying streaming data with Presto, Amazon Athena and Upsolver

Querying streaming data with Presto, Amazon Athena and Upsolver

In this session, Yoni will present on querying streaming data with Presto and Amazon Athena including performance, data partitioning and compaction. In addition, we will demo using the Upsolver platform with Amazon Athena. In addition, he will share what they are working on with Prestodb.