Google Cloud Platform Podcast

We have the pleasure this week of having the Director of Solutions for Google Cloud Miles Ward and Cloud Solutions Architect Grace Mollison join Mark and Melanie to discuss Solution Architects, what they do and how they interact with Customers at Google Cloud Platform. Miles Ward Miles Ward is a three-time technology startup entrepreneur with a decade of experience building cloud infrastructures. Miles is Director of Solutions for Google Cloud; focused on delivering next-generation solutions to challenges in big data and analytics, application migration, infrastructure automation, and cost optimization. He worked as a core part of the Obama for America 2012 “TECH” team, crashed Twitter a few times, helped NASA stream the Curiosity Mars Rover landing, put Skype back online in a pinch, and plays a mean electric sousaphone. Grace Mollison Based in London, UK, Grace Mollison is a Cloud Solutions Architect where she helps customers to understand how to apply policies to their Google cloud platform environments as well as how to architect and deploy applications on the Google Cloud platform. In her spare time she spends time attempting to teach her international team how to speak the Queens english! Before Google Grace was a Solutions Architect at AWS where she worked with the AWS ecosystem and customers to ensure well architected solutions. Cool things of the week We have awesome new intro and outro music. Did you notice? The thing is … Cloud IoT Core is now generally available blog site JupyterLab is Ready for Users blog github Announcing Google Cloud Spanner as a Vault storage backend blog How to handle mutating JSON schemas in a streaming pipeline, with Square Enix blog FAT* livestream Interview Google Cloud Platform Solutions site Tutorials and Solutions site Machine Learning with Financial Time Series Data solution Implementing GCP Policies for Customer Use Cases solution #87 Customer Engineers with Jonathan Cham podcast Google Cloud Next Solution Architects are hiring! careers Question of the week How do I get a Docker image into Minikube without uploading it to an external registry and then downloading it all over again? Is there an easy way to do this locally? Minikube github $ docker save | (eval $(minikube docker-env) && docker load) Original references github Stack Overflow Where can you find us next? Mark will be at the Game Developer’s Conference | GDC in March.

In this episode, Google Play Marketing is the customer of Google Cloud Platform. Melanie and Mark chat with Dom Elliott (Google Play) and Stewart Bryson (Red Pill Analytics) about how they use our big data processing and visualisation tools to introspect what is happening in the Google play ecosystem. Dom Elliott Dom Elliott leads global developer marketing communications for Google Play. His goal is to help Android app and game developers improve their app quality and business performance on Google Play, by raising awareness and understanding of features that can help them find success. Stewart Bryson Stewart Bryson is the Owner & Co-founder of Red Pill Analytics, a products and services company specializing in Cloud Analytics delivery. Red Pill is 4 years old and has about 30 employees in the US, UK and Brazil. We work with customers to accelerate their use of the public cloud for analytics, including migrating current on-premises workloads. Red Pill Analytics was engaged by Google Play to build the digital channel ingestion processes, as well as build all the Data Studio content for analyzing those channels. Cool things of the week Easy distributed training with TensorFlow using tf.estimator.train_and_evaluate on Cloud ML Engine blog CI/CD with Less Fluff & More Awesome blog 96 vCPU Compute Engine instances are now generally available announcement site Interview Google Play site Google Data Studio site docs Adding charts to Data Studio docs Google BigQuery Data Transfer Service site docs Google App Engine site docs Cloud Cloud PubSub site docs Cloud Functions site docs Google Cloud Pub/Sub Triggers docs tutorial Cloud Natural Language site docs Google Play Question of the week If you want to be able to unit test your integrations with Kubernetes with client-go, how can you mock what happens inside the cluster in your unit tests? fake.Clientset godoc code example testing.Fake godoc Where can you find us next? Melanie will be at Fat* in New York very shortly! Mark will be at the Game Developer’s Conference | GDC in March.

This week, we dive into machine learning bias and fairness from a social and technical perspective with machine learning research scientists Timnit Gebru from Microsoft and Margaret Mitchell (aka Meg, aka M.) from Google. They share with Melanie and Mark about ongoing efforts and resources to address bias and fairness including diversifying datasets, applying algorithmic techniques and expanding research team expertise and perspectives. There is not a simple solution to the challenge, and they give insights on what work in the broader community is in progress and where it is going. Timnit Gebru Timnit Gebru works in the Fairness Accountability Transparency and Ethics (FATE) group at the New York Lab. Prior to joining Microsoft Research, she was a PhD student in the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her main research interest is in data mining large-scale, publicly available images to gain sociological insight, and working on computer vision problems that arise as a result, including fine-grained image recognition, scalable annotation of images, and domain adaptation. The Economist and others have recently covered part of this work. She is currently studying how to take dataset bias into account while designing machine learning algorithms, and the ethical considerations underlying any data mining project. As a cofounder of the group Black in AI, she works to both increase diversity in the field and reduce the impact of racial bias in the data. Margaret Mitchell M. Mitchell is a Senior Research Scientist in Google’s Research & Machine Intelligence group, working on artificial intelligence. Her research involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence toward positive goals. Margaret’s work combines machine learning, computer vision, natural language processing, social media, and insights from cognitive science. Before Google, Margaret was a founding member of Microsoft Research’s “Cognition” group, focused on advancing artificial intelligence, and a researcher in Microsoft Research’s Natural Language Processing group. Cool things of the week GPS/Cellular Asset Tracking using Google Cloud IoT Core, Firestore and MongooseOS blog GPUs in Kubernetes Engine now available in beta blog Announcing Spring Cloud GCP - integrating your favorite Java framework with Google Cloud blog Interview PAIR | People+AI Research Initiative site FATE | Fairness, Accountability, Transparency and Ethics in AI site Fat* Conference site & resources Joy Buolamwini site Algorithmic Justice Leaguge site ProPublica Machine Bias article AI Ethics & Society Conference site Ethics in NLP Conference site FACETS site TensorFlow Lattice repo Sample papers on bias and fairness: Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification paper Facial Recognition is Accurate, if You’re a White Guy article Mitigating Unwanted Biases with Adversarial Learning paper Improving Smiling Detection with Race and Gender Diversity paper Fairness Through Awareness paper Avoiding Discrimination through Casual Reasoning paper Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings paper Satisfying Real-world Goals with Dataset Constraints paper Axiomatic Attribution for Deep Networks paper Monotonic Calibrated Interpolated Look-Up Tables paper Equality of Opportunity in Machine Learning blog Additional links: Bill Nye Saves the World Episode 3: Machines Take Over the World (includes Margaret Mitchell) site “We’re in a diversity crisis”: Black in AI’s founder on what’s poisoning the algorithms in our lives article Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru TWiML & AI podcast Security and Safety in AI: Adversarial Examples, Bias and Trust with Mustapha Cisse TWiML & AI podcast How we can build AI to help humans, not hurt us TED PAIR Symposium conference Question of the week “Is there a gcp service that’s cloud identity-aware proxy except for a static site that you host via cloud storage?” Answer between Mark & KF Cloud Identity-Aware Proxy site & docs Cloud Storage site & docs Hosting a Static Website on Cloud Storage site Google App Engine site & docs weasel repo Where can you find us next? Melanie will be at Fat* in New York in Feb. Mark will be at the Game Developer’s Conference | GDC in March.

Yifei Feng talks with Mark and Melanie about working on the open source TensorFlow platform, the recent 1.5 release, and how her team engages and supports the growing community. She provides a great overview of what its like to work on an open source project and ways to get involved especially for anyone new to contributing. Yifei Feng Yifei is a software engineer on TensorFlow team. Her main focus is building tools and infractures to help TensorFlow engineers do their best work. She works on release and the open source process of TensorFlow. She also worked on TensorFlow’s high level API and TensorFlow Serving. Cool things of the week TensorFlow 1.5 Release blog Use Forseti to make sure your Google Kubernetes Engine clusters are updated for Meltdown and Spectre blog GCP arrives in Canada with launch of Montreal region blog Interview TensorFlow site and github TensorFlow Contributing Guidelines page TensorFlow Summit site Stack Overflow site TensorFlow with Eli Bixby podcast Cloud Machine Learning Engine with Yufeng Guo podcast Learn TensorFlow without a PhD blog AI Adventures YouTube Question of the week How do I design identity and access management policies policies for a GCP? Toward effective cloud governance: designing policies for GCP customers large and small blog Where can you find us next? Melanie will be at Fat* in New York in Feb. Mark will be at the Game Developer’s Conference | GDC in March.

We return once again to Continuous Integration tooling, this time with a visual spin. Mike Fotinakis joins Mark and Melanie to discuss how they use Google Cloud Platform to develop Percy, the platform for continuous visual reviews for web apps. Mike Fotinakis Mike is Co-Founder and CEO of Percy, where he is working on problems at the intersection of design, development, and deployment. Mike has previously worked as an engineer at companies including Google, Science Exchange, and AltSchool, and is now enjoying building his first company from the ground up. Sometimes, he even enjoys things that don’t involve computers at all, including rock climbing, coffee, classical singing, and scuba diving. Cool things of the week OpenCensus: A Stats Collection and Distributed Tracing Framework blog medium London Zoo trials facial recognition technology to help track elephants in the wild blog Cloud Dataflow and the Tram Challenge youtube Interview Percy site docs Google Kubernetes Engine site docs Google Cloud Storage site docs Google Cloud SQL site docs Redis Labs Cloud site Google Cloud Platform Pricing Calculator site Ember Conf site Percy.io Question of the week I would love a weekly roundup of news about Google Cloud Platform - where can I get one? This week in GCP medium Where can you find us next? Melanie will be at FOSDEM in Brussels this weekend. Mark will be at the Game Developer’s Conference | GDC in March.

The delightful Sam Ramji joins Mark and Melanie this week to talk about Google Cloud Platform, Open Source, Distributed Systems and Philosophy and how they are all interrelated. Sam Ramji A 20+ year veteran of the Silicon Valley and Seattle technology scenes, Sam Ramji is VP Product Management for Google Cloud Platform (GCP). He was the founding CEO of Cloud Foundry Foundation, was Chief Strategy Officer for Apigee (APIC), designed and led Microsoft’s open source strategy, founded the Outercurve Foundation, and drove product strategy for BEA WebLogic Integration. Previously he built distributed systems and client software at firms including Broderbund, Fair Isaac, and Ofoto. He is an advisor to multiple companies including Accenture, Insight Engines, and the Linux Foundation, and served on the World Economic Forum’s Industrial Internet Working Group. He received his B.S. in Cognitive Science from UCSD in 1994. Cool things of the week An example escalation policy — CRE life lessons blog The new Google Arts & Culture, on exhibit now blog Five Days of Kubernetes 1.9 blog Kubernetes Comic site Interview The Case for Learned Index Structures paper CAP Theorem wikipedia Databricks site Spinnaker site Tensor Processing Units site 38 Special - Hold On Loosely youtube Question of the week I would like to run a Google Cloud Function every day/week/hour etc - but there is no cron ability in Cloud Functions (yet?). How can I do this now? Functions Cron github Where can you find us next? Melanie is speaking at AI Congress in London Jan 30th and she will be at FOSDEM in Brussels in Feb. Mark will be at the Game Developer’s Conference | GDC in March.

Bringing you a special second episode this week with Matt Linton and Paul Turner sharing insights with Mark and Melanie about the CPU vulnerabilities, Spectre & Meltdown, and how Google coordinated and managed security with the broader community. We talked about how there has been minimal to no performance impact for GCP users and GCP’s Live Migration helped deploy patches and mitigations without requiring maintenance downtime. Due to the special nature, no cool things or question included on this podcast. About Matt Linton Matt is an Incident Manager (aka Chaos Specialists) for Google, which means his team is on-call to handle suspected security incidents and other major urgent issues. About Paul Turner Paul is a Software Engineer specializing in operating systems, concurrency, and performance. Interview Protecting our Google Cloud customers from new vulnerabilities without impacting performance blog What Google Cloud, G Suite and Chrome customers need to know about the CPU vulnerability blog Google Security Blog, Today’s CPU vulnerability: what you need to know blog ProjectZero News and Updates by Yann Horn blog Spectre Attack paper Meltdown Paper paper Intel Security Center site Intel Analysis of Speculative Side Channels site An Update on AMD Processor Security: site ARM Processor Security Update site GCP Compute Engine Live Migration docs GCP Security Overview site Patch your operating systems and all the things. Keep updated.

Amy Unruh and Sara Robinson join the podcast this week to talk with Mark and Melanie about the alpha launch of Cloud AutoML Vision. Cloud AutoML is a suite of products enabling developers with limited ML expertise to build high quality models using transfer learning and Neural Architecture Search techniques. AutoML Vision is the first product out the gate with a focus on making it easy to train customized vision models. About Amy Unruh Amy is a developer relations engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&D, and published a book on App Engine. About Sara Robinson Sara is a developer relations engineer on Google’s Cloud Platform team, focusing on big data and machine learning. She worked on providing initial product feedback and building a demo for the AutoML Vision launch. Cool things of the week Google Brain Looking Back on 2017 blog Shout-out to Kaz Sato for his TensorFlow Rock Paper Scissors example Running dedicated game servers in Kubernetes Engine blog Kaggle Learn site Honorable mention… - Scientists put a worm brain in a lego robot blog Interview Cloud AutoML: Making AI accessible to every business blog Cloud AutoML Vision site Cloud AutoML Vision Access Request | Whitelist Application form Cloud images example video Shout-out thanks to Rob Carver for domain expertise in helping label cloud images. Coastline images example readme and filenames csv Using Machine Learning to Explore Neural Network Architecture blog Learning Transferable Architecture for Scalable Image Recognition arXiv paper Neural Architecture Search with Reinforcement Learning arXiv paper Progressive Neural Architecture Search arXiv paper Learning2learn video Cloud Vision site docs Question of the week How does someone in academia get GCP credits? Google Cloud Platform Education Grants site Where can you find us next? Melanie is speaking at AI Congress in London Jan 30th and she will be at FOSDEM in Brussels in Feb. Mark will be at the Game Developer’s Conference | GDC in March.

Launchpad Studio, a product development acceleration program focused on helping machine learning startups iterate quickly, fail fast, and collaborate on best practices. Malika Cantor and Peter Norvig talk with Mark and Melanie this week about how the Launchpad Studio program is helping startups overcome data, expertise and tooling barriers by providing access to talent and resources and building universal best practices. About Malika Cantor Malika is the Global Lead for Google Launchpad Studio. Launchpad is the acceleration engine of Google - running a number of accelerator programs focused on supporting the global startup ecosystem. Prior to joining Google, Malika was a co-founder and partner at Comet Labs, a venture capital firm and experimental research lab focused on investing and supporting applied AI startups. She has worked with founders for around 6 years, in London, Beijing, Singapore, Toronto, and Silicon Valley. About Peter Norvig Peter Norvig is a Director of Research at Google; previously he directed Google’s core search algorithms group. He is a fellow and councilor of the Association for the Advancement of Artificial Intelligence and co-author, with Stuart Russell, of Artificial Intelligence: A Modern Approach, now the leading college text in the field. He was head of the Computational Sciences Division (now the Intelligent Systems Division) at NASA Ames Research Center. Cool things of the week Introducing Preemptible GPUS: 50% off blog How We Implemented a Fully Serverless Recommender System Using GCP blog Awesome lists repo: Awesome Google Cloud Platform repo Awesome Kubernetes repo Awesome TensorFlow repo Awesome Firebase repo Interview Launchpad Studio site Verily site DeepMind site Cloud AI site Cloud Machine Leanring Engine site TensorFlow site Android Things site Question of the week How does a startup get GCP credits? Google Cloud Platform Startup Program site CPU Vulnerability Links What Google Cloud, G Suite and Chrome customers need to know about the industry-wide CPU vulnerability blog Google Security Blog, Today’s CPU vulnerability: what you need to know blog ProjectZero News and Updates blog Where can you find us next? San Francisco

This week we get the band back together! Francesc Campoy Flores rejoins the show along with Director of Google Cloud Developer Relations Greg Wilson to talk all about 2017 and Google Cloud with Mark and Melanie About Francesc Campoy Flores Francesc Campoy Flores is the VP of Developer Relations at source{d}, He’s also a Gopher, Catalan, LGBTQIA advocate, previous Google employee (and Podcast host), and creator of the Just For Func YouTube series! About Greg Wilson Greg Wilson is the Director of Google Cloud Developer Relations, overseeing developer relations work across both G Suite and Google Cloud Platform. Cool things of the week Jeff Dean’s talk at NIPS on ML for Systems and Systems for ML sides The Case for Learned Index Structures paper KubeFlow github hackernews Manage Google Kubernetes Engine from Cloud Console dashboard, now generally available blog Interview Top 5 Downloaded Episode of 2017 #88 Kubernetes 1.7 with Tim Hockin #91 The Future of Media with Machine Learning with Amit Pande #93 What’s AI with Melanie Warrick #75 Container Engine with Chen Goldberg #100 Vint Cerf: past, present, and future of the internet Greg’s Favourites #57 Pokémon GO with Edward Wu, Director of Software Engineering at Niantic #68 The Home Depot with William Bonnell #86 Broad Institute and Platinum Customers with Lukas Karlsson and Mike Altarace Francesc’s Favourites #62 Cloud Spanner with Deepti Srivastava Mark’s Favourites The SRE Category on GCP Podcast Melanie’s Favourites #57 Pokémon GO with Edward Wu, Director of Software Engineering at Niantic Favourite announcements, products and more at Google Cloud Platform Cloud Spanner Cloud Machine Learning Engine TensorFlow GCE Virtual Machines, e.g. Pre-emptible VMs Go 1.8 on App Engine Cheaper GPUs Kubernetes Question of the week What were your personal highlights for 2017? Mark Getting involved with SIG API Machinery with Kubernetes Melanie Watching Haben Girma, the first Deafblind Graduate of Harvard Law School, speak about accessibility in tech. Where can you find us next? It’s the end of the year! So we’ll be taking a break, and returning in January 2018!