Happy New Year! It's been a while since our last meetup and I'm excited to announce we have one I think you'll love. Sovrn is presenting on using Lambda and Kinesis at Scale. Come and hear how Sovrn is solving some really big and interesting problems with AWS technologies at scale!
Hope to see you there!
About the Event:
Sovrn recently released a high-volume API in a fully serverless topology, using golang on AWS Lambda and Kinesis. This enables massive scale at very manageable costs, and changed our deployment topology from hundreds of bare-metal hosts into a simple, cloud-native pipeline. Along the way, we learned some things intentionally, and some things painfully.
We will also share learnings about Spark/Scala processing on ephemeral EMR clusters. Spark on EMR is easy to start, but can be very nuanced to optimize and tune. We will be sharing useful Spark tips to maximize AWS resources, handle data problems, and leverage some lesser-known built-in Spark tools.
6:00 – 6:45 - Socialize over food and drinks
6:45 – 7:00 - Welcome, opening remarks and announcements
7:00 – 8:30 – Rob, Sean, Kenyatta & Jen - AWS Lambda and Kinesis at Scale
8:30-9:00 - Networking
About the Speakers
Rob Cuthbertson, Director of Engineering for the Data Platform
Rob has worked in Ad Tech for 9 years, and a string of innovative teams and startups for decades prior. Rob has worked in Telecom, Energy, NLP/ML analytics, and consulting. He loves to lead amazing engineering teams based on a culture of continuous learning.
Sean Stasica, Lead Data Engineer
Sean has designed and built many data-driven systems over the years. He is responsible for the architecture for large scale data ingest and delivery systems at Sovrn. Prior to Sovrn, Sean worked at Parkifi, an IoT startup, and at Citi building a new team and infrastructure for Citi's new global analytics platform.
Kenyatta Thomas, Senior Software Engineer
Kenyatta Thomas has worked in the Boulder and Denver tech communities for the past 14 years. She grew up in Denver and her hobbies include yoga, hiking and gaming.
Jen Waller, Data Scientist
Building big data products and the infrastructure to support them.