Podcasts

Shubha Nabar Discusses Einstein, the Machine Learning System in Salesforce

Shubha Nabar is a senior director of data science for Salesforce Einstein. In the podcast she discusses Salesforce Einstein and the problem space that they are trying to solve, explores the differences between enterprise and consumer for machine learning, and then talks about the Optimus Prime Scala library that they use in Salesforce.

Sid Anand on Building Agari’s Cloud-Native Data Pipelines with AWS Kinesis and Serverless

Wesley Reisz talks to Sid Anand, a data architect at cybersecurity company Agari, about building cloud-native data pipelines. The focus of their discussion is around a solution Agari uses that is built from Amazon Kinesis Streams, serverless functions, and auto scaling groups.

Kolton Andrus on Lessons Learnt from Failure Testing at Amazon and Netflix and New Venture Gremlin

Wesley Reisz talks to Kolton Andrus. Andrus is the founder of Gremlin Inc. He was a Chaos Engineer at Netflix, focused on the resilience of the Edge services. He designed and built FIT, Netflix’s failure injection service. Prior, he improved the performance and reliability of the Amazon Retail website.

Preslav Le on How Dropbox Moved off AWS and What They Have Been Able to Do Since

In March 2016 Dropbox announced that they had migrated away from Amazon Web Services (AWS). In this week's podcast Robert Bluman talks to Preslav Le about what they have been able to do since.