Track: Going Serverless

Location: Ballroom A

Day of week: Wednesday

The public cloud continues to offer new X’s in their x-as-a-service paradigm forcing us to rethink the way we build applications and the architectures that support them. The revolution is far from over with the latest transformation coming to the area of compute! Under the banner of serverless and with names like Azure functions, GCP Cloud Functions, or AWS Lambdas, this new paradigm advances the public cloud promise to provide undifferentiated heavy-lifting, allowing the developer to manage only his/her applications and some (minimal) configuration. In some respects, these cloud functions are only the latest in a portfolio of services that we have come to love and that the public vendors have been providing all along : e.g. Kinesis/Pub-sub, S3/Cloud Storage, DynamoDB/Cloud BigTable, etc…. Adding serverless compute to these other serverless offerings allows us to innovate faster, recover faster from failures, and reduce our costs. Come to this track to learn how you can leverage the latest advances in the world of Serverless from the companies that build them and build on them!

Track Host:
Sid Anand
Chief Data Engineer @PayPal

Sid Anand currently serves as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. In his spare time, he is a maintainer/committer on Apache Airflow, a co-chair for QCon, and a frequent speaker at conferences. When not working, Sid spends time with his wife, Shalini, and their 2 kids.

10:35am - 11:25am

by Ben Kehoe
Cloud Robotics Research Scientist @iRobot

iRobot entered the Smart Home market with the launch of our first internet-connected Roomba in 2015. Despite a long history of developing networked robots and selling millions of (unconnected) consumer robots per year, building an elastic, scalable cloud infrastructure for the Internet of Things was outside of our core expertise. Utilizing serverless architecture enabled us to completely bypass that undifferentiated lifting and focus on delivering features.

11:50am - 12:40pm

by Jared Short
Director of Innovation @Trek10

Like a good wine and cheese, some technologies are just meant to be paired. Serverless can help you implement and scale new services rapidly. GraphQL can help you present a unified and pleasant experience for users of your services and APIs, while maintaining a complex infrastructure behind the scenes. When pairing Serverless & GraphQL you can implement some unique patterns and architectures for performance, security, and user experience gains.

In this session, we'll dive deep...

1:40pm - 2:30pm

by Nate Kupp
Technical Infrastructure Lead @Thumbtack

As Paul Graham writes, creating marketplaces is incredibly hard, and they take "heroic measures" to get rolling. From humble beginnings, Thumbtack today helps millions of customers complete their projects, generating more than $1B / year in business for our professionals. In this talk, I will share some of our key learnings on our journey to scale: from a PHP/PostgreSQL monolith with a self-managed Hadoop cluster, to Dockerized microservices paired with managed/...

2:55pm - 3:45pm

Open Space
4:10pm - 5:00pm

by Dana Katherine Engebretson
Performance Engineer @SPS Commerce

This is a story of how I took down one of our vendor’s services with an innocent serverless application. I wanted to retrieve data from one of our monitoring platforms to analyze SPS Commerce’s software performance. Initially, I wrote a script to collect the data using python multiprocessing. To gather this data in a more scalable, fast, and efficient way, I decided to pivot to a serverless architecture. Unfortunately, my solution ended up spawning requests...

5:25pm - 6:15pm

Abstract Coming Soon 

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