InfoQ Homepage Google Content on InfoQ
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Build Cross Platform Apps with Flutter
Faisal Abid talks about Flutter, how it achieves an almost identical look and feel to its Android/iOS counterparts and what is on the roadmap for Flutter (Web & IoT).
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What We Got Wrong: Lessons from the Birth of Microservices
Ben Sigelman talks about what Google got wrong about microservices, the lessons learned along the way and how to apply those lessons today.
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What We Got Wrong: Lessons from the Birth of Microservices
Ben Sigelman talks about what Google got wrong about microservices, the lessons learned along the way and how to apply those lessons today.
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Debugging Microservices: How Google SREs Resolve Outages
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.
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Google Dataflow Codelab
Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.
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Machine Intelligence at Google Scale
Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.
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Engineering Engineering Culture with Memes
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.
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Real-World Virtual Reality
Alex Kesling explores Google Expeditions as a case study in building meaningful Virtual Reality applications.
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Deep Learning @Google Scale: Smart Reply in Inbox
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
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What Google Learned about Creating Effective Teams
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.
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In Depth TensorFlow
Illia Polosukhin keynotes on TensorFlow, introducing it and presenting the components and concepts it is built upon.
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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.
