36:31
In Depth TensorFlow
Illia Polosukhin keynotes on TensorFlow, introducing it and presenting the components and concepts it is built upon.
31:03
TensorFlow: A Flexible, Scalable & Portable System
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
50:30
What Google Learned about Creating Effective Teams
Matt Sakaguchi addresses the research and the insights of a manager who worked with his own team and others to instill the findings and principles from a pilot program at Google in the real world.
39:57
Using a Design Sprint to Accelerate Innovation
Rob Scherer and Rob Alford discuss the Design Sprint process used by Google Ventures, some of the changes made to it and lessons learned along the way.
46:52
Streaming Auto-scaling in Google Cloud Dataflow
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
51:37
Service Architectures at Scale: Lessons from Google and eBay
Randy Shoup discusses modern service architectures at scale, using specific examples from both Google and eBay. He covers some interesting lessons learned in building and operating these sites.
25:05
Infrastructure Built in Go
Jessie Frazelle takes a look inside the tools built in Go centered around infrastructure and ops - from Docker to etcd to nsq and more.
52:35
Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
51:34
Scalability Lessons from eBay, Google, and Real-time Games
Randy Shoup tells war stories from Google and eBay focusing on how to scale code, infrastructure, performance, and operations, along with hard-won lessons learned in scaling them.
50:47
Have Your Cake and Eat It Too -- Further Dispelling the Myths of the Lambda Architecture
Tyler Akidau from Google demonstrates Google's Millwheel, a streaming system that promises low latency, strong consistency, and flexibility without relying on Lambda Architecture.
45:05
How DevOps and the Cloud Changed Google Engineering
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
39:18
Solidifying the Cloud: How Google Backs up the Internet
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
