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37:46
DevOps Follow 923 Followers

Debugging Microservices: How Google SREs Resolve Outages

Posted by Liz Fong-Jones  on  Sep 10, 2018 Posted by Liz Fong-Jones Follow 3 Followers , Adam Mckaig Follow 1 Followers  on  Sep 10, 2018

Adam Mckaig and Liz Fong-Jones talk about how SREs discover and debug problems at Google during outages, and share real stories about their experiences.

48:17
AI, ML & Data Engineering Follow 955 Followers

Google Dataflow Codelab

Posted by Martin Gorner  on  Jul 09, 2018 Posted by Martin Gorner Follow 0 Followers  on  Jul 09, 2018

Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.

49:17
AI, ML & Data Engineering Follow 955 Followers

Machine Intelligence at Google Scale

Posted by Guillaume LaForge  on  Jun 01, 2018 Posted by Guillaume LaForge Follow 1 Followers  on  Jun 01, 2018

Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.

44:02
Culture & Methods Follow 759 Followers

Engineering Engineering Culture with Memes

Posted by Bruce Johnson  on  Mar 30, 2018 Posted by Bruce Johnson Follow 0 Followers  on  Mar 30, 2018

Bruce Johnson describes some real-world examples of memes that helped shape engineering team culture during his years at Google and play an epic role at FullStory today.

47:03
Development Follow 653 Followers

Real-World Virtual Reality

Posted by Alex Kesling  on  Oct 07, 2017 1 Posted by Alex Kesling Follow 0 Followers  on  Oct 07, 2017 1

Alex Kesling explores Google Expeditions as a case study in building meaningful Virtual Reality applications.

50:42
AI, ML & Data Engineering Follow 955 Followers

Deep Learning @Google Scale: Smart Reply in Inbox

Posted by Anjuli Kannan  on  Oct 03, 2017 3 Posted by Anjuli Kannan Follow 0 Followers  on  Oct 03, 2017 3

Anjuli Kannan describes the algorithmic, scaling, deployment considerations involved in a an application of cutting-edge deep learning in a user-facing product: the Smart Reply feature of Google Inbox

40:53
Culture & Methods Follow 759 Followers

What Google Learned about Creating Effective Teams

Posted by Matt Sakaguchi  on  Aug 01, 2017 1 Posted by Matt Sakaguchi Follow 0 Followers  on  Aug 01, 2017 1

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
AI, ML & Data Engineering Follow 955 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
AI, ML & Data Engineering Follow 955 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 759 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 759 Followers

Using a Design Sprint to Accelerate Innovation

Posted by Rob Alford  on  Sep 06, 2016 Posted by Rob Alford Follow 0 Followers , Rob Scherer 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 318 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.

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