React Native at Airbnb with Gabriel Peal Holiday Repeat
Play • 54 min

Originally published July 27, 2018

React Native allows developers to reuse frontend code between mobile platforms. A user interface component written in React Native can be used in both iOS and Android codebases. Since React Native allows for code reuse, this can save time for developers, in contrast to a model where completely separate teams have to create frontend logic for iOS and Android.

React Native was created at Facebook. Facebook itself uses React Native for mobile development, and contributes heavily to the open source React Native repository.

In 2016, Airbnb started using React Native in a significant portion of their mobile codebase. Over the next two years, Airbnb saw the advantages and the disadvantages of adopting the cross platform, JavaScript based system. After those two years, the engineering management at Airbnb came to the conclusion to stop using React Native. Gabriel Peal is an engineer at Airbnb who was part of the decision to move off of React Native. Gabriel wrote a blog post giving the backstory for React Native at Airbnb, and he joins the show to give more detail on the decision.

The post React Native at Airbnb with Gabriel Peal Holiday Repeat appeared first on Software Engineering Daily.

Towards Data Science
Towards Data Science
The TDS team
68. Silvia Milano - Ethical problems with recommender systems
One of the consequences of living in a world where we have every kind of data we could possible want at our fingertips, is that we have far more data available to us than we could possibly review. Wondering which university program you should enter? You could visit any one of a hundred thousand websites that each offer helpful insights, or take a look at ten thousand different program options on hundreds of different universities’ websites. The only snag is that, by the time you finish that review, you probably could have graduated. Recommender systems allow us to take controlled sips from the information fire hose that’s pointed our way every day of the week, by highlighting a small number of particularly relevant or valuable items from a vast catalog. And while they’re incredibly valuable pieces of technology, they also have some serious ethical failure modes — many of which arise because companies tend to build recommenders to reflect user feedback, without thinking of the broader implications these systems have for society and human civilization. Those implications are significant, and growing fast. Recommender algorithms deployed by Twitter and Google regularly shape public opinion on the key moral issues of our time — sometimes intentionally, and sometimes even by accident. So rather than allowing society to be reshaped in the image of these powerful algorithms, perhaps it’s time we asked some big questions about the kind of world we want to live in, and worked backward to figure out what our answers would imply for the way we evaluate recommendation engines. That’s exactly why I wanted to speak with Silvia Milano, my guest for this episode of the podcast. Silvia is an expert of the ethics of recommender systems, and a researcher at Oxford’s Future of Humanity Institute and at the Oxford Internet Institute, where she’s been involved in work aimed at better understanding the hidden impact of recommendation algorithms, and what can be done to mitigate their more negative effects. Our conversation took us led us to consider complex questions, including the definition of identity, the human right to self-determination, and the interaction of governments with technology companies.
1 hr 1 min
Google Cloud Platform Podcast
Google Cloud Platform Podcast
Google Cloud Platform
Intel with Rebecca Weekly
Welcome back to a new year of Google Cloud Platform Podcasts! Mark Mirchandani and Emma Iwao host the first show of 2021 with special guest Rebecca Weekly of Intel. She joins us to talk about the partnership between Google Cloud and Intel. Describing the company’s goals of gathering, storing, managing, and analyzing data in all its forms to unlock the power of technology and information, Rebecca points out how well these align with Google’s own goals and why the partnership is such a natural fit. Rebecca explains the four pillars of the Google-Intel partnership, including the focus on infrastructure and app modernization to elevate the user experience. Through their work with Google, Intel has been able to optimize the move from on prem to cloud for those clients who choose to make the shift, using their thorough client knowledge and Google Cloud expertise to facilitate a smooth transition. Rebecca walks us through the process of crafting this client experience, from choosing products and tools to identifying and solving any bottlenecks and optimizing the configuration using benchmarks. Later, we talk about the value of open source software in both the hardware and software worlds and why Intel believes so strongly in open source projects. Rebecca offers examples of clients successfully using Intel hardware and Google Cloud software, including Climacell and Kinsta. We get the inside scoop on future projects at Intel, like the next generation of scalable Xeon processors, and Rebecca talks about the future of data analyzation and computing. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries. Rebecca Weekly Rebecca leads the team that influences nearly every aspect of our cloud platform solutions across strategic planning, hardware and software enabling, marketing and sales. Together they shape the development, production, and business strategy of Intel’s cloud platforms to ensure differentiation and platforms that enable TAM expansion with enthusiasm, collaboration, and urgency. She drives strategic collaborations with key partners including top cloud service providers, OxMs, ISVs & OSVs to ensure platform requirements meet our customer needs. In her “spare” time, she’s the lead singer of a funk & soul band, Sinister Dexter, was professionally trained in dance (tap, modern, and jazz), and is an experienced choreographer. She has two amazing little boys and loves to run (after them, and on her own). Rebecca graduated from MIT with a degree in Computer Science and Electrical Engineering. Cool things of the week * 97 Things Every Cloud Engineer Should Know Book * Introducing Google Cloud Workflows video Interview * Intel site * Google Cloud withe Intel site * TensorFlow site * Anthos site * Intel Select Solutions site * PerfKit Benchmarker site * Google Cloud Functions site * Climacell site * Blue Skies Ahead: ClimaCell Delivers Innovative Weather Prediction Solutions doc * Kinsta site * Benchmarking GCP’s Compute-Optimized VMs (C2) blog * Arcules site * Descartes Labs site * DAOS site * Optane site What’s something cool you’re working on? Emma was a guest on GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao. Emma is working on the Ruby 3.0 support and release and deprecation policy. Ruby is now available on Google Cloud Functions! Sound Effects Attribution * “Partyhorn” by Milton of Freesound.org * “ToiletFlush” by EminYildirim of Freesound.org
45 min
Learning Bayesian Statistics
Learning Bayesian Statistics
Alexandre ANDORRA
#32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle
When explaining Bayesian statistics to people who don’t know anything about stats, I often say that MCMC is about walking many different paths in lots of parallel universes, and then counting what happened in all these universes. And in a sense, this whole podcast is dedicated to sampling the whole distribution of Bayesian practitioners. So, for this episode, I thought we’d take a break of pure, hard modeling and talk about how to get involved into Bayesian statistics and open-source development, how companies use Bayesian tools, and what common struggles and misperceptions the latter suffer from. Quite the program, right? The good news is that Peadar Coyle, my guest for this episode, has done all of that! Coming to us from Armagh, Ireland, Peadar is a fellow PyMC core developer and was a data science and data engineer consultant until recently – a period during which he has covered all of modern startup data science, from AB testing to dashboards to data engineering to putting models into production. From these experiences, Peadar has written a book consisting of numerous interviews with data scientists throughout the world – and do consider buying it, as money goes to the NumFOCUS organization, under which many Bayesian stats packages live, like Stan, ArviZ, PyMC, etc. Now living in London, Peadar recently founded the start-up Aflorithmic, an AI solution that aims at developing personalized voice-first solutions for brands and enterprises. Their technology is also used to support children, families and elderly coping with the mental health challenges of COVID-19 confinements. Before all that, Peadar studied physics, philosophy and mathematics at the universities of Bristol and Luxembourg. When he’s away from keyboard, he enjoys the outdoors, cooking and, of course, watching rugby! Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Brian Huey, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, Demetri Pananos, James Ahloy, Jon Berezowski, Robin Taylor, Thomas Wiecki, Chad Scherrer, Vincent Arel-Bundock, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll and Nathaniel Burbank. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: "Matchmaking Dinner" announcement: https://twitter.com/alex_andorra/status/1351136756087734272 (https://twitter.com/alex_andorra/status/1351136756087734272) How to get acces to "Matchmaking Dinner" episodes: https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) Peadar on Twitter: https://twitter.com/springcoil (https://twitter.com/springcoil) Peadar's website: https://peadarcoyle.com/ (https://peadarcoyle.com/) Peadar on GitHub: https://github.com/springcoil (https://github.com/springcoil) Interviews with Data Scientists -- A discussion of the Industy and the current trends: https://leanpub.com/interviewswithdatascientists/ (https://leanpub.com/interviewswithdatascientists/) Aflorithmic -- Personalized Audio SaaS Platform: https://www.aflorithmic.ai/ (https://www.aflorithmic.ai/) Peadar's PyMC3 Primer: https://product.peadarcoyle.com/ (https://product.peadarcoyle.com/) This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy Support this podcast
53 min
The Cloudcast
The Cloudcast
Cloudcast Media
A Transformation Look Ahead for 2021
Andrew Clay Shafer (@litteidea, VP Transformation @RedHat ) & John Willis (@botchagalupe, Sr.Dir. Transformation) talk about the importance of "learning organizations",   aligning change to business value, and the evolution of self-service and automated governance. *SHOW: *485 *SHOW SPONSOR LINKS:* * Datadog Security Monitoring Homepage - Modern Monitoring and Analytics * Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt. * Okta - You should not be building your own Auth * Learn how Okta helped Cengage improve student success rates during COVID. * BMC Wants to Know if your business is on its A-Game * BMC Autonomous Digital Enterprise *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES:* * Red Hat Global Transformation Office * Books by John Willis * 10 Must Read DevOps & Transformation Books *Topic 1 *- Welcome to the show. You’re both really well known in the DevOps communities, but give us the TL;DR of your backgrounds for anyone not familiar with your work.  *Topic 2 *- Whether people are tired of the term “Digital Transformation” or not, change is a huge part of our industry, especially as it relates to corporate culture and organization. What’s the framing for that type of discussion in 2021?  *Topic 3 *- I’ve heard you both say “technology is easy, people are hard”. How do you think about these conflicts of transformation, whether people’s individual motivations aren’t always aligned to a business goal?* * *Topic 4 *- One of the biggest differences between existing companies and start-ups is the level of self-service that they build around their systems. The self-service systems allow experimentation, allow automated deployments, etc. But is there a way to bring a concept of automated governance to these end-to-end models?  *Topic 5 *- Oftentimes transformations are aligned with cloud-native technologies, cloud-native apps. The model of Ops in a cloud-native world is different. What are some of the areas you both focus on to make cloud-native Ops successful, or better aligned to the technology part of transformations?  *Topic 6 *- What are some of the best and worst “getting started” steps that you see various groups (or companies) take in their transformation journeys?  *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
46 min
More episodes
Search
Clear search
Close search
Google apps
Main menu