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40:53
Culture & Methods Follow 134 Followers

What Google Learned about Creating Effective Teams

Posted by Matt Sakaguchi  on  Aug 01, 2017 Posted by Matt Sakaguchi Follow 0 Followers  on  Aug 01, 2017

Matt Sakaguchi talks about some of the practical research Google has done around building effective teams, along with key insights from the Pilot program at Google.

36:31
Data Science Follow 212 Followers

In Depth TensorFlow

Posted by Illia Polosukhin  on  Jun 30, 2017 Posted by Illia Polosukhin Follow 1 Followers  on  Jun 30, 2017

Illia Polosukhin keynotes on TensorFlow, introducing it and presenting the components and concepts it is built upon.

31:03
Data Science Follow 212 Followers

TensorFlow: A Flexible, Scalable & Portable System

Posted by Rajat Monga  on  Dec 17, 2016 Posted by Rajat Monga Follow 0 Followers  on  Dec 17, 2016

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
Culture & Methods Follow 134 Followers

What Google Learned about Creating Effective Teams

Posted by Matt Sakaguchi  on  Dec 07, 2016 1 Posted by Matt Sakaguchi Follow 0 Followers  on  Dec 07, 2016 1

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
Culture & Methods Follow 134 Followers

Using a Design Sprint to Accelerate Innovation

Posted by Rob Scherer  on  Sep 06, 2016 Posted by Rob Scherer Follow 0 Followers , Rob Alford Follow 0 Followers  on  Sep 06, 2016

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
Cloud Follow 42 Followers

Streaming Auto-scaling in Google Cloud Dataflow

Posted by Manuel Fahndrich  on  May 01, 2016 Posted by Manuel Fahndrich Follow 0 Followers  on  May 01, 2016

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
Followers

Service Architectures at Scale: Lessons from Google and eBay

Posted by Randy Shoup  on  Jul 14, 2015 Posted by Randy Shoup Follow 3 Followers  on  Jul 14, 2015

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
Followers

Infrastructure Built in Go

Posted by Jessie Frazelle  on  Jun 10, 2015 Posted by Jessie Frazelle Follow 0 Followers  on  Jun 10, 2015

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
Followers

Cluster Management at Google

Posted by John Wilkes  on  Apr 04, 2015 Posted by John Wilkes Follow 0 Followers  on  Apr 04, 2015

John Wilkes shares lessons learned managing clusters at the scale of Google.

51:34
Followers

Scalability Lessons from eBay, Google, and Real-time Games

Posted by Randy Shoup  on  Feb 25, 2015 Posted by Randy Shoup Follow 3 Followers  on  Feb 25, 2015

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
Followers

Have Your Cake and Eat It Too -- Further Dispelling the Myths of the Lambda Architecture

Posted by Tyler Akidau  on  Jan 24, 2015 Posted by Tyler Akidau Follow 0 Followers  on  Jan 24, 2015

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
Followers

How DevOps and the Cloud Changed Google Engineering

Posted by Melody Meckfessel  on  Dec 19, 2014 1 Posted by Melody Meckfessel Follow 0 Followers  on  Dec 19, 2014 1

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.

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