Google Cloud Platform Podcast

On this very special episode of the Google Cloud Platform Podcast, we have live interviews from the first day of NEXT! Melanie and Mark had the chance to chat with Melody MeckFessel, VP of Engineering at Google Cloud and Pavan Srivastava of Deloitte. Next we spoke with Sandeep Dinesh about Open Service Broker and Raejeanne Skillern of Intel. Melody Meckfessel Melody Meckfessel is a hands-on technology leader with more than 20 years experience building and maintaining large-scale distributed systems and solving problems at scale. As VP of Engineering, she leads the team building DevOps tools and sharing DevOps best practices across Google and with software development and operations teams around the world. Her team powers the world's most advanced continuously delivered software, enabling development teams to turn ideas into reliable, scalable production systems. After graduating from UC Berkeley, Melody programmed for startups and enterprise companies. Since joining Google in 2004, Melody has led teams in Google's core search systems, search quality and cluster management. Melody is passionate about making software development fast, scalable and fun. Pavan Srivastava Pavan is a technology leader with 20 years of experience in developing strategies and implementation of SAP focused technology solutions. Pavan leads Deloitte's SAP technology capability that focuses on helping clients adopt innovative technology solutions such as cloud and SAP HANA to improve business efficiencies. Pavan has led several engagements helping clients develop strategy, architecture and implement SAP on the cloud and SAP HANA platform. Sandeep Dinesh Sandeep Dinesh is a Developer Advocate for Google Cloud. He blends and creates new opportunities for businesses and people by leveraging the best technology possible. Raejeanne Skillern Raejeanne Skillern is the VP of Data Center and General Manager of Intel's cloud service provider (CSP) business. Her goal is to make it easier, more cost-effective and more efficient for CSPs to build new infrastructure and services. She is privileged to lead an exceptional team that manages Intel's business, products and technologies for cloud infrastructure deployments and works closely with the world's largest cloud providers to ensure Intel's data center products are optimized for their unique needs. Interviews Cloud AutoML site GKE On-Prem site Melody Meckfessel's Speaking Schedule at NEXT site DevOps site Google Open Source site Cloud Build site Spinnaker site Kubernetes site Stackdriver site Application Performance Management site OpenCensus site Deloitte site SAP site Deloitte and Google Cloud blog Google Cloud Platform Service Broker site Open Service Broker site Pub/Sub site Cloud Spanner site Intel Cloud Computing site Intel Xeon site Intel Optane DC Persistent Memory site Partnering with Intel and SAP on Intel Optane DC Persistent Memory for SAP HANA blog Where can you find us next? We'll both be at Cloud NEXT in Moscone West on the first floor! Come by and say hi!

On this episode of the podcast, Mark and Melanie delve into the fascinating world of robotics and reinforcement learning. We discuss advances in the field, including how robots are learning to navigate new surroundings and how machine learning is helping us understand the human mind better. Raia Hadsell Raia Hadsell, a senior research scientist at DeepMind, has worked on deep learning and robotics problems for the past 15 years. After completing a PhD at New York University, which featured a self-supervised deep learning vision system for a mobile robot, her research continued at Carnegie Mellon's Robotics Institute and SRI International, and in early 2014 she joined DeepMind in London to develop artificial general intelligence. Her current research focuses on the challenge of interactive learning for AI agents and robots, including subjects such as neural memory for real world navigation and lifelong learning. Cool things of the week AI Adventures How to Make a Data Science Project with Kaggle site Predict your future costs with Google Cloud Billing cost forecast blog and site Kaggle Competition Winning Solutions site Google Cloud Platform Podcast Episode 84: Kaggle with Wendy Kan podcast Introducing Jib — build Java Docker images better blog Google Container Tools site Interview Raia Hadsell site Learning to Navigate Cities Without a Map research paper and blog Unsupervised Predictive Memory in a Goal-Directed Agent | MERLIN research paper Nature: Vector-based navigation using grid-like representations in AI research paper DeepMind has trained an AI to unlock the mysteries of your brain site Navigating with grid-like representations in artificial agents blog DeepMind site and blog Boston Dynamics site Google Brain Robotics site Transylvanian Machine Learning Summer School site IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures research paper Edward Mozer - Grid Cells and the Brain's Spatial Mapping System video The Nobel Prize in Physiology or Medicine 2014 site TensorFlow site Question of the week How do you connect a Google Cloud Source repository to an existing Git repository? site and blog Where can you find us next? We'll both be at Cloud NEXT! Mark will be talking about Agones blog Melanie will speak at PyCon Russia July 22nd

On this episode of the podcast, Melanie and Mark talk with Emiliano (Emi) Martínez to learn more about how VirusTotal is helping to create a safer internet by providing tools and building a community for security researchers. Emiliano (Emi) Martínez Emiliano has been with VirusTotal for over 10 years. He has seen the business grow from a small startup in southern Spain into a Google X moonshot under the new Chronicle bet. He is a software engineer acting as the Tech Lead for VirusTotal. Throughout the past 10 years, not only has he been immersed in coding and architecting the platform, but he has also participated at all levels of the business: from bootstrapping the very first sales to working close with marketing and other teams in order to take the project to the next level. His main interests are IT security (more specifically malware) and designing products and services from scratch. VirusTotal and Chronicle are Hiring VirusTotal is part of Chronicle, and Chronicle is hiring! Come join our team experts to help build out the next generation of security intelligence solutions. We are looking for talent that is comfortable operating in an organization that is scaling quickly, that loves variety in their work and wants to get their hands dirty with all things cyber security, cloud computing, and machine learning. We are a dynamic organization that likes to run experiments so we are looking for colleagues that are excited about trying new things and offering a creative yet efficient, and client-centric approach to engineering solutions. You are scrappy and resourceful, creative and driven – and excited to share in the magic of working at Chronicle Cool things of the week BigQuery in June: a new data type, new data import formats, and finer cost controls blog Dataflow Stream Processing now supports Python blog Associate Cloud Engineer blog Six AI & ML Sessions to Attend at NEXT blog Interview VirusTotal site VirusTotal Use Cases site and videos VirusTotal Intelligence site VirusTotal Malware Hunting site VirusTotal Monitor site VirusTotal APIs site VirusTotal Community site VirusTotal Contact site Data Connectors San Jose on July 12, 2018 site Data Connectors Raleigh on July 26, 2018 site BSides Las Vegas on August 7-8, 2018 site If you are interested in a 1:1 meeting with VirusTotal, please email [email protected] Google Cloud App Engine site Google Compute Engine site Google Cloud Kubernetes Engine site BigQuery site Google Cloud Data Studio site Google Cloud MemoryStore site Google Cloud SQL site G Suite site Question of the week This week's question comes from Andrew Sheridan, with a special guest answer from Robert Kubis. What is the best practice for multi tenancy in Google Cloud Spanner, especially if customers are not of the same size and have unequal load? What DBAs need to know about Cloud Spanner, part 1: Keys and indexes blog Cloud Spanner - Choosing the Right Primary Keys video More questions about Spanner? Robert will be presenting on it at Cloud NEXT. Where can you find us next? We'll both be at Cloud NEXT! Melanie will speak at CERN July 17th and PyCon Russia July 22nd

Happy 4th of July! Today, Melanie and Mark go in depth with Brett Bibby and Micah Baker to learn more about Unity and its new strategic alliance with Google Cloud. We explore how an alliance between Google Cloud and Unity means easier development for game creators and better gaming for fans. Brett Bibby Brett Bibby is Unity's Vice President, Engineering. Prior to his current role, Brett served as a Field Engineering and Evangelist at Unity consulting with developers throughout Southeast Asia, Australia, India, and greater Asia. Before Unity, Brett founded and ran a game studio developing console titles, and has more than 30 years of experience developing games and game engine technology. Micah Baker As Product Manager leading the strategy for Gaming on the Google Cloud Platform, Micah is committed to enabling developers to realize their vision for great games. An avid gamer on all major platforms, he never hesitates to get involved in games that were built with a passion for immersive storytelling, innovative multiplayer experiences, and breathtaking artwork. Cool things of the week The 2018 World Cup Visualized: All the Goals So Far site Why we believe in an open cloud blog Kubernetes 1.11: a look from inside Google blog Understanding error budget overspend - part one - CRE life lessons blog Good housekeeping for error budgets - part two - CRE life lessons blog New GitHub repo: Using Firebase to add cloud-based features to games built on Unity blog Interview Unity site Google Cloud Spanner site Unity Hackweek site Unity Connected Games site Bringing connected games within reach with Google Cloud blog Unity Hackweek 2018: Creating X Together blog Brett Bibby Question of the week How do I report errors to Stackdriver from a cloud function? Where can you find us next? We'll both be at Cloud NEXT!

Brahim Elbouchikhi and Sachin Kotwani talk with Melanie and Mark about Firebase's ML Kit and how it enables machine learning on mobile and cloud apps. We delve into why ML Kit was developed, how it makes machine learning easier, what it's used for now and plans for the future. Sachin Kotwani Sachin Kotwani is a product manager with a special passion for making software development easy and fun. He has worked on several teams at Google, including Google Cloud, Play, and now Firebase. Before joining product management he worked worked as a strategy & ops manager in Google's Sales organization, and prior to Google, he worked in finance at Amazon. He holds an MBA from Carnegie Mellon University, and dual bachelor's degrees in Business Management and Computer Science from the University of Missouri - Columbia. His hobbies include traveling with his family, chasing his daughter around the house, and tinkering with mobile apps and backends. Brahim Elbouchikhi Brahim Elbouchikhi is a Group Product Manager on the Android team. On Android, Brahim is responsible for developer and consumer facing ML products, including Camera and developer SDKs. Prior to Android, Brahim led Daydream's software team. Brahim was also a founding PM of the Google Play store where he led monetization, search, and discovery. Brahim holds an MBA from the Stanford Graduate School of Business and a BS in Computer Science and Engineering from UCLA. Brahim has also worked at Amazon and Deloitte in addition to starting a company in the past. Cool things of the week Our 10th Doodle 4 Google winner is dino-mite blog Google Podcasts now on Android blog Machine Learning with TensorFlow on Google Cloud Platform Specialization site Introducing Cloud Dataflow's new Streaming Engine blog ML Explorer: talking and listening with Google Cloud blog #131 Actions on Google with Mandy Chan podcast Interview ML Kit for Firebase site TensorFlow Hub site TensorFlow Lite site Federated Learning document and blog TensorFlow.js site Question of the week What is a Developer Programs Engineer? Developer Programs Engineer — Say What!? blog Franziska Hinkelmann twitter Where can you find us next? Mark is going to the Unity Hackweek. Read how Google Cloud is teaming up with Unity for gaming blog Melanie is speaking at Stanford AI4ALL on June 28th. We'll both be at Cloud NEXT!

Thadeu Luz from Hand Talk shares with Melanie and Mark how the free Hand Talk education application translates and interprets spoken and written Portuguese into Brazilian Sign Language (aka LIBRAS or BSL). The application uses an animated avatar Hugo to deliver the signs through gestures and facial expressions and its built off of a statistical machine translation system and Firebase. Future plans include expanding into other languages with a priority on ASL and they welcome support. Thadeu Luz Thadeu Luz is entrepreneur, data scientist and full-stack engineer with a background in 3D Animation, Video Compositing and Architecture. In early 2018 I have joined the Google Developers Experts program as a Firebase Expert. He's CPO and founder of Hand Talk, an internationally decorated company that produces automatic sign language interpretation with the help of a friendly virtual 3D Character named Hugo. Cool things of the week Our video for NEXT video First research center in Ghana blog GCP in Finland blog AI Adventures BigQuery and Open Datasets video Dockercon and value of childcare at conferences tweet What is going on in Unite Berlin 2018 blog & Powering up Conncected Game Development blog Interview Hand Talk site & video Firebase Hosting site docs Cloud Functions for Firebase site docs Cloud Functions for Firebase Sample Library github Launchpad Studio site and podcast TensorFlow.js site ML Kit for Firebase site & podcast coming next week Serve Dynamic Content with Cloud Functions docs Google Translate Community site Cloud Machine Learning Engine docs Hand Talk Question of the week What DOES a Go developer need to know about GCP? Where can you find us next? Mark is speaking at the Online Kubernetes Community Meeting on the 21st of June, at 10am Pacific. Melanie is speaking at a joint WiMLDS and PyLadies event "Paths to Data Science" on June 26th and Stanford AI4ALL on June 28th.

This week is all about Voices! 🎶🎤🔊 Mandy Chan joins Melanie and Mark to discuss the intricacies of building user Voice user interfaces with Actions on Google, developing with SSML and more! Mandy Chan Mandy Chan is the developer community manager for the Actions On Google team. Her role is to help expand the funnel of the Actions on Google developer community by creating practical tools and content like http://bit.ly/aog-codelab-1 and http://bit.ly/aog-codelab-2 Mandy began to build voice applications back in early 2016, and since then, she has built more than a dozen Voice Applications on Actions On Google and other platforms. One of her most frequently downloaded open source projects is called the SSML-Builder which creates well-formed Speech Synthesis Markup Language without worrying about string concatenation. You can learn more about her open source project on http://bit.ly/ssml-build When she is not pondering about how to improve the developer experience, you can find her hiking at mountains or learning new magic tricks. You can also learn more about Mandy by following @MandyChanNYC Cool things of the week AI at Google: our principles blog Incorporating Google's AI Principles into Google Cloud blog Deploying to Google Kubernetes Engine blog Fighting fire with machine learning: two students use TensorFlow to predict wildfires blog Together, we can help Puerto Rico recover donation match Introducing sole-tenant nodes for Google Compute Engine — when sharing isn't an option blog docs Interview Actions on Google site docs github console g+ community ssml-builder site npm Advanced SSML by Leon blog Actions on Google: SSML docs Actions on Google Codelabs level one level two Dialogflow site docs console Google Assistant SDK for devices site Cloud Functions for Firebase docs Google Action Firebase Services docs To get inspired by some interesting voice applications voice experiment Mandy Chan medium github Systers on June 21st 9AM PST – Getting started with Actions on Google Workshop site Question of the week I want to push a Docker image to Google Container Registry via docker push. How can I set things up so that I don't have to use gcloud docker -- push every time? Pushing and Pulling Images docs Authentication Methods docs Where can you find us next? Mark is speaking at the San Francisco Kubernetes Meetup: Scaling Game Servers and the Conduit Service Mesh on June 14th, and also speaking at the Online Kubernetes Community Meeting on the 21st of June, at 10am Pacific. Melanie is speaking at a joint WiMLDS and PyLadies event "Paths to Data Science" on June 26th and Stanford AI4ALL on June 28th.

Juliet Hougland and Michelle Casbon are on the podcast this week to talk about data science with Melanie and Mark. We had a great discussion about methodology, applications, tools, pipelines, challenges and resources. Juliet shared insights into the unique data science ownership workflow from idea to deployment at Stitch Fix, and Michelle dove into how Kubeflow is playing a role to help drive reliability in model development and deployment. Juliet Hougland Juliet Hougland leads the Workflow, Environment, and Execution team at Stichfix. She is a data scientist and engineer with expertise in computational mathematics and years of hands-on machine learning and big data experience. She has built and deployed production ML models, advised Fortune 500 companies on infrastructure and worked on a variety of open source projects (Apache Spark, Scalding, and Kiji) at the intersection of big data and machine learning. Michelle Casbon Michelle Casbon is a Senior Engineer on the Google Cloud Platform Developer Relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Prior to joining Google, she was at several San Francisco-based startups as a Senior Engineer and Director of Data Science. Within these roles, she built and shipped machine learning products on distributed platforms using both AWS and GCP. Michelle's development experience spans more than a decade and has primarily focused on multilingual natural language processing, system architecture and integration, and continuous delivery pipelines for machine learning applications. She especially loves working with open source projects and is an active contributor to Kubeflow. Michelle holds a masters degree from the University of Cambridge. Cool things of the week Sandeep Dinesh: Kubernetes Best Practices YouTube CNCF TOC voted to accept Helm as an incubation-level hosted project to CNCF site Andriod P in Beta blog Agones 0.2.0 site Securing cloud-connected devices with Cloud IoT and Microchip blog Interview flotilla-os repo Kubeflow repo Cloud Dataproc site & docs Spark site & community site scikit-learn site xgboost repo PyTorch site TensorFlow site and github Kubernetes site github Introducing ultramem Google Compute Engine machine types blog #114 Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell podcast Machine Learning Flash Clards site Open Source Data Science Masters site DockerCon SF site Question of the week If I have written a gRPC Service, but I'm using a language/platform that isn't supported - is there any way I can access it as REST? grpc-gateway Envoy proxy Transcoding Where can you find us next? Mark is speaking at the San Francisco Kubernetes Meetup: Scaling Game Servers and the Conduit Service Mesh on June 14th. Melanie is speaking at a joint WiMLDS and PyLadies event "Paths to Data Science" on June 26th and Stanford AI4ALL on June 28th.

Mandy Waite joins Mark and Melanie to share what is developer relations and how trust and empathy are key to its success. We discuss meeting developers where they are and the wide variety of differing communities that exist across the technology ecosystem. Mandy Waite Mandy Waite has worked at Google for nearly 8 years, 6 of which have been spent growing and nurturing the Cloud Advocacy team. She heads up the Infrastructure and Ops Advocacy team in Google Cloud with a focus on Cloud Native, DevOps, SRE, Observability and Security. Cool things of the week Better cost control with Google Cloud Billing programmatic notifications blog Music in Motion: a Firebase and IoT story blog Google Cloud Codelabs and Challenges codelabs Kubernetes Podcast site and blog Interview Google Cloud Platform site #46 Borg and K8s with John Wilkes podcast #118 OpenCensus with Morgan McLean and JBD podcast Felipe Hoffa & BigQuery reddit, blog and podcast Livestreaming with Jen Tong Twitch, Holden Karau Twitch, and Chris Broadfoot Twitch Ben Treynor on What is 'Site Reliability Engineering' interview Solomon Hykes at dotScale on Docker video Istio site and #85 Istio with Varun Talwar and Sven Mawson podcast Kubernetes site Docker site The Core Competencies of Developer Relations blog Question of the week Where do I go to learn about GDPR in regards to Google Cloud Platform? Google Cloud: Ready for GDPR blog Google Cloud & the General Data Protection Regulation site Where can you find us next? Mark is speaking at the Monthly SF Game Development Community, presenting on You Can't Just Add More Servers on May the 30th in San Francisco. Melanie is speaking at a joint WiMLDS and PyLadies event "Paths to Data Science" on June 26th. More details to come.

Chief Decision Scientist, Cassie Kozyrkov joins Mark and Melanie this week to explain data science, analytics, machine learning and statistical inference, in relation to decision intelligence. Cassie Kozyrkov As Chief Decision Scientist at Google Cloud, Cassie advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the innovator behind the practice of Decision Intelligence Engineering at Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google's Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she's not working, you're most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel. Cool things of the week Cloud ML Engine adds Cloud TPU support for training blog docs Google Kubernetes Engine 1.10 is generally available and ready for the enterprise blog Introducing ultramem Google Compute Engine machine types blog Increase performance while reducing costs with the new App Engine scheduler blog docs Interview Decision Intelligence wikipedia Redhat Summit Keynote youtube Data Analytics wikipedia Statistical Analysis wikipedia Machine Learning wikipedia Deep Learning wikipedia There are several other episodes that provide insights into data science: #31 TensorFlow with Eli Bixby podcast #84 Kaggle with Wendy Kan podcast #109 Cloud AutoML Vision with Amy Unruh and Sara Robinson podcast #113 Open Source TensorFlow with Yifei Feng podcast #122 Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast As well as case studies on real world problems: #91 The Future of Media with Machine Learning with Amit Pande podcast #115 Google Play Marketing with Dom Elliott and Stewart Bryson podcast Question of the week How can I secure my Google Cloud Platoform acount using a YubiKey? Securing your Cloud Platform Account with Security Keys docs Encrypting Google Application Default and gcloud credentials with GPG SmardCard blog Where can you find us next? Mark will be speaking at the Monthly SF Game Development Community, presenting on You Can't Just Add More Servers on May the 30th in San Francisco. Melanie is speaking at a joint WiMLDS and PyLadies event "Paths to Data Science" on June 26th. More details to come.

This week is a clash of titans! Liz Fong-Jones and Seth Vargo join Mark and Melanie, to battle out on which is better: SRE or Devops (hint - everyone wins!). Liz Fong-Jones Liz is a Staff Site Reliability Engineer at Google and works on the Google Cloud Customer Reliability Engineering team in New York. She has worked on services ranging from Google Flights to Cloud Bigtable in her 10+ years at Google. She lives with her wife, metamour, and a Samoyed/Golden Retriever mix in Brooklyn. In her spare time, she plays classical piano, leads an EVE Online alliance, and advocates for transgender rights. Seth Vargo Seth Vargo is a Developer Advocate at Google. Previously he worked at HashiCorp, Chef Software, CustomInk, and a few Pittsburgh-based startups. He is the author of Learning Chef and is passionate about reducing inequality in technology. Seth is an active member of the DevOps community and has written thought-leader-y pieces such as the 10 Myths of DevOps. Cool things of the week Google I/O session youtube What's new in Firebase at I/O 2018 blog Introducing ML Kit for Firebase blog Jeff Dean is new Head of AI wired Introducing Cloud Memorystore: A fully managed in-memory data store service for Redis blog Google Group Issue tracker Interview class SRE implements DevOps youtube series DevOps wikipedia Site Reliability Engineering (SRE) site Terraform site Chef site Puppet site Ansible site SaltStack site Prometheus site Datadog site Stackdriver site The Site Reliability Workbook: Practical Ways to Implement SRE amazon Seeking SRE o'reilly Customer Reliability Engineering Blog Series blogs Question of the week I'm a researcher at a regionally accredited academic institution and I need compute resources. Does Google Cloud have any programs that can help me out? Google Cloud Platform announces new credits program for researchers blog faq Where can you find us next? Mark will be speaking at the Monthly SF Game Development Community, presenting on You Can't Just Add More Servers on May the 30th in San Francisco. Melanie is speaking at the Understand Risk Forum on May 17th, in Mexico City.

Holden Karau is on the podcast this week to talk all about Spark and Beam, two open source tools that helps process data at scale, with Mark and Melanie. Holden Karau Holden Karau is a transgender Canadian open source developer advocate @ Google with a focus on Apache Spark, BEAM, and related "big data" tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date. She is a commiter on and PMC on Apache Spark and committer on SystemML & Mahout projects. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. Cool things of the week Twitter's collaboration with Google Cloud blog & tweet Kaggle CERN TrackML Particle Tracking Challenge Competition site Open-sourcing gVisor, a sandboxed container runtime blog & repo Announcing Stackdriver Kubernetes Monitoring blog MLPerf: collaborative effort to standardize ML benchmarks site Interview Spark site & community site Beam site Cloud Dataflow site & docs Cloud Dataproc site & docs Using Spark on Kubernetes Engine blog Testing future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc blog Spark Packages site Spark testing base repo Flink site Arrow site Upcoming Talks: PyCon 2018 & Debugging PySpark talk Scala Days & Keeping the "fun" in Spark talk Strata London & Understanding Spark tuning with auto-tuning talk J on the Beach & General Purpose Big Data Systems are eating the world talk Spark Summit 2018 & Accelerating TF with Apache Arrow on Spark talk Question of the week I have a continuous integration build process setup with Container Builder, but it's all sequential. I want to speed things up by processing parts of it in parallel. How do I do that? Configure Build Step Order docs Where can you find us next? Mark can be found streaming Agones development on Twitch. Melanie is speaking at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City. Special shout out: Google I/O and PyCon are both happening this week

Mark and Melanie are joined by Sarah Novotny, Head of Open Source Strategy for Google Cloud Platform, to talk all about Open Source, the Cloud Native Compute Foundation and their relationships to Google Cloud Platform. Sarah Novotny Sarah Novotny leads an Open Source Strategy group for Google Cloud Platform. She has long been an Open Source community champion in communities such as Kubernetes, NGINX and MySQL and ran large scale technology infrastructures at Amazon before web-scale had a name. In 2001, she co-founded Blue Gecko, which was sold to DatAvail in 2012. She is a program chair emeritus for O'Reilly Media's OSCON. Cool things of the week Now live in Tokyo: using TensorFlow to predict taxi demand blog Kubernetes best practices: Organizing with Namespaces blog youtube Announcing Open Images V4 and the ECCV 2018 Open Images Challenge blog dataset challenge Introducing Kubernetes Service Catalog and Google Cloud Platform Service Broker: find and connect services to your cloud-native apps blog docs Julia Evans - zines store Interview Kubernetes site Node.js Foundation board of directors Tensorflow site gRPC site Apache Beam site Google Kubernetes Engine site Forseti site podcast Cloud Native Compute Foundation site Cloud Native Computing Foundation Announces Kubernetes® as First Graduated Project blog NTP's Fate Hinges On 'Father Time' article Open Container Initiative site Fireside chat: building on and contributing to Google's open source projects Google I/O Question of the week Mark broke SSH access to his Compute Engine instance by accidentally removing the GCP linux guest environment. How did he fix it? Installing the Linux Guest Environment via Clone Root Disk & Use Startup Script docs Where can you find us next? Mark can be found streaming Agones development on Twitch and finished his blog series on scaling game servers on Kubernetes. Melanie will be speaking at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City.

VP of Infrastructure at Google Cloud Eric Brewer, talks to Melanie and Mark all about open source at Google Cloud, distributed systems, hybrid cloud, and more! Eric Brewer Eric Brewer is the main inventor of a wireless networking scheme called WiLDNet, which promises to bring low-cost connectivity to rural areas of the developing world. He is a tenured professor of Computer Science at UC Berkeley. In 1996, Brewer co-founded Inktomi Corporation (bought by Yahoo! in 2003) and became a paper billionaire during the dot-com bubble. Working with Bill Clinton, he helped to create USA.gov, which launched in 2000.[1] He is known for formulating the CAP Theorem about distributed network applications in the late 1990s.[2] Starting in May 2011 he has been on a sabbatical at Google as VP of Infrastructure.[3] Credits: Wikipedia Cool things of the week Google Cloud Next site Google Cloud Next London site Google Cloud Next Tokyo site Cloud SQL for PostgreSQL now generally available and ready for your production workloads blog Calling C functions from BigQuery with Web Assembly blog BigQuery beyond SQL and JS: Running C and Rust code at scale blog Kubernetes best practices: How and why to build small container images blog youtube Interview Nine faculty elected to American Academy of Arts and Sciences blog USA.gov site Eric Brewer research at google Kubernetes site 2014 Dockercon Keynote youtube 2017 Google Cloud Next Keynote youtube Istio site Extend the Kubernetes API with CustomResourceDefinitions docs Mentors Butler Lampson Barbara Liskov David Patterson Question of the week If I want to visualise the network traffic between pods/services within my Kubernetes cluster, is there an easy way to do this? Weavescope features installation Where can you find us next? Mark can be found streaming Agones development on Twitch, and will be presenting on Agones at Cloud Next. Melanie will be presenting at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City.

Nick Sullivan, and Adam Langley join Melanie and Mark to provide a pragmatic view on post-quantum cryptography and what it means to research security for the potential of quantum computing. Post-quantum cryptography is about developing algorithms that are resistant to quantum computers in conjunction with "classical" computers. It's about looking at the full picture of potential threats and planning on how to address them using a diversity of types of mathematics in the research. Adam and Nick help clarify the different terminology and techniques that are applied in the research and give a practical understanding of what to expect from a security perspective. Nick Sullivan Nick Sullivan runs the cryptography team at Cloudflare, an internet security and performance company. Adam Langley Adam Langley is a Principal Software Engineer at Google, responsible for a variety of cryptography-related efforts. Cool things of the week Google IO site & IO Extended Events site App Engine Turns 10 blog Introducing Stackdriver APM & Stackdriver Profiler blog & article Smart Parking story: Cloud-native architecture with serverless microservices blog part1 Implementing an event-driven architecture on serverless blog part2 What we learned doing serverless blog part3 Episode 102 Smart Parking and IoT Core with Brian Granatir podcast Interview Quantum Computing simple wiki & wiki Post-Quantum Cryptography wiki & site Chrome post-quantum algorithm experiment 2016 blog & wired article & results Imperial Violet by Adam Langley blog Post-quantum confidentiality for TLS blog Cloudflare Blog by Nick Sullivan blog National Institute of Standards and Technology (NIST) site & round 1 submissions PQ Crypto Conference site Additional References / Resources: Quantum Cryptography wiki & article Quantum Supremacy wiki and arXiv paper Lattice-based Cryptography wiki & resources RSA algorithm wiki Symmetric and Asymmetric (Public key) Encription explanation Confidentiality and Integrity explanation Schrodinger's cat wiki Shor's algorithm wiki Quest for the Quantum Computer book Meet the meQuanics - Quantum Computing Discussions site & podcast Question of the week How to stream realtime coding? Lessons for my First Year Live Coding on Twitch - Suz Hinton blog Get a good microphone Open Broadcast Software Twitch TV Mark's Twitch Site Where can you find us next? San Francisco

Jessica Forde, Yuvi Panda and Chris Holdgraf join Melanie and Mark to discuss Project Jupyter from it's interactive notebook origin story to the various open source modular projects it's grown into supporting data research and applications. We dive specifically into JupyterHub using Kubernetes to enable a multi-user server. We also talk about Binder, an interactive development environment that makes work easily reproducible. Jessica Forde Jessica Forde is a Project Jupyter Maintainer with a background in reinforcement learning and Bayesian statistics. At Project Jupyter, she works primarily on JupyterHub, Binder, and JuptyerLab to improve access to scientific computing and scientific research. Her previous open source projects include datamicroscopes, a DARPA-funded Bayesian nonparametrics library in Python, and density, a wireless device data tool at Columbia University. Jessica has also worked as a machine learning researcher and data scientist in a variety of applications including healthcare, energy, and human capital. Yuvi Panda Yuvi Panda is the Project Jupyter Technical Operations Architect in the UC Berkeley Data Sciences Division. He works on making it easy for people who don't traditionally consider themselves "programmers" to do things with code. He builds tools (e.g., Quarry, PAWS, etc.) to sidestep the list of historical accidents that constitute the "command line tax" that people have to pay before doing productive things with computing. Chris Holdgraf Chris Holdgraf is a is a Project Jupyter Maintainer and Data Science Fellow at the Berkeley Institute for Data Science and a Community Architect at the Data Science Education Program at UC Berkeley. His background is in cognitive and computational neuroscience, where he used predictive models to understand the auditory system in the human brain. He's interested in the boundary between technology, open-source software, and scientific workflows, as well as creating new pathways for this kind of work in science and the academy. He's a core member of Project Jupyter, specifically working with JupyterHub and Binder, two open-source projects that make it easier for researchers and educators to do their work in the cloud. He works on these core tools, along with research and educational projects that use these tools at Berkeley and in the broader open science community. Cool things of the week Dragonball hosted on GC / powered by Spanner blog and GDC presentation at Developer Day Cloud Text-to-Speech API powered by DeepMind WaveNet blog and docs Now you can deploy to Kubernetes Engine from Gitlab blog Interview Jupyter site JupyterHub github Binder site and docs JupyterLab site Kubernetes site github Jupyter Notebook github LIGO (Laser Interferometer Gravitational-Wave Observatory) site and binder Paul Romer, World Bank Chief Economist blog and jupyter notebook The Scientific Paper is Obsolete article Large Scale Teaching Infrastructure with Kubernetes - Yuvi Panda, Berkeley University video Data 8: The Foundations of Data Science site Zero to JupyterHub site JupyterHub Deploy Docker github Jupyter Gitter channels Jupyter Pop-Up, May 15th site JupyterCon, Aug 21-24 site Question of the week How did Google's predictions do during March Madness? How to build a realt time prediction model: Architecting live NCAA predictions Final Four halftime - fed data from first half to create prediction on second half and created a 30 second spot that ran on CBS before game play sample prediction ad Kaggle Competition site Where can you find us next? Melanie is speaking about AI at Techtonica today, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium

Paris Pittman and Garrett Rodrigues join Mark and Melanie to discuss the Contributor Experience on Kubernetes, and how people can get involved with Kubernetes! Paris Pittman Co-Chair of Contributor Experience Special Interest Group for Kubernetes. Bay Area Kubernetes Meetup Co-Organizer Paris is a Developer Relations Program Manager on the Google Cloud Open Source Strategy team focusing on Kubernetes Community. She has 13 years of professional experience in attracting, retaining, growing, and incentivizing engineering talent for organizations and open source projects. She has also been organizing communities in one form or another for over 20 years, and at one point ran enough hackathons and meetups to subsist solely on the free pizza leftovers. Garrett Rodrigues Technical Lead of the Contributor Experience SIG for Kubernetes. Garrett is a Technical Program Manager at Google, and he joined the Kubernetes and GKE Team at Google in June 2016. As a lead of ContribX, he has focused on scaling the Kubernetes project in a sustainable way. Garrett developed a lot of the tooling and automation to support OSS code review, issue triage, and data collection about the project. In addition to his work on Contributor Experience, Garrett is currently involved with the app-def working group to get a new declarative application management tool released. Cool things of the week Highlights from the TensorFlow Developer Summit, 2018 blog TensorFlow Hub site Announcing TensorRT integration with TensorFlow 1.7 blog Announcing Google Cloud Security Talks during RSA Conference 2018 blog Exploring container security: An overview blog How to run Windows Containers on Compute Engine blog Interview Kubernetes site github Kubernetes SIGs and Working Groups github Kubernetes Community Content github Kubernetes Contributor Guide github Kubernetes slack join! Kubernetes design proposals github Kubernetes Issues help wanted Kubernetes Contributor Summit site Kubernetes Weekly Community Meeting github Dev Statistics site Kubernetes Mentoring Initiatives github Question of the week If I need to temporarily increases the power of a Cloud Shell, how do I do that? Boost Mode docs Justin Garrison tweet Where can you find us next? Melanie will be speaking about AI at Techtonica on April 11th, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium

Nenad Stojanovski and Andrew Hoying join Mark and Melanie this week to discuss Forseti - open source tools for Google Cloud Platform security. Nenad Stojanovski Staff Security Engineer, Spotify Andrew Hoying Andrew Hoying is a Senior Security Engineer at Google. His goal is to ensure all services built by Google and running on Google Cloud Platform have the same, or better, security assurances as services running in any other environment. He is also a top contributor to the Forseti Security open-source project, helping enterprises monitor and secure their GCP environments. Cool things of the week Shopify's Infrastructure Collaboration with Google blog Kubernetes Engine Private Clusters now available in beta blog Easy HPC clusters on GCP with Slurm blog Understand your spending at a glance with Google Cloud Billing reports beta blog Interview Forseti Security site docs github Google Cloud Shell site docs Forseti Security Question of the week How do I automatically scan the Docker images in your Google Cloud Repository for known vulnerabilities? Scanning Vulnerabilities in Docker images blog Container Registry Vulnerability Scanning docs Where can you find us next? Melanie will be speaking about AI at Techtonica on April 11th, and April 14th will be participating in a panel on Diversity and Inclusion at the Harker Research Symposium

Bryan Catanzaro, the VP Applied Deep Learning Research at NVIDIA, joins Mark and Melanie this week to discuss how his team uses applied deep learning to make NVIDIA products and processes better. We talk about parallel processing and compute with GPUs as well as his team's research in graphics, text and audio to change how these forms of communication are created and rendered by using deep learning. This week we are also joined by a special co-host, Sherol Chen who is a developer advocate on GCP and machine learning researcher on Magenta at Google. Listen at the end of the podcast where Mark and Sherol chat about all things GDC. Bryan Catanzaro Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA, where he leads a team solving problems in domains ranging from video games to chip design using deep learning. Bryan earned his PhD from Berkeley, where he focused on parallel computing, machine learning, and programming models. He earned his MS and BS from Brigham Young University, where he worked on higher radix floating-point representations for FPGAs. Bryan worked at Baidu to create next generation systems for training and deploying deep learning models for speech recognition. Before that, he was a researcher at NVIDIA, where he worked on programming models for parallel processors, as well as libraries for deep learning, which culminated in the creation of the widely used CUDNN library. Cool things of the week NVIDIA Tesla V100s coming to Google Cloud site Automatic Serverless Deployment with Cloud Source Repositories blog Magenta site NSynth Super site MusicVAE site Making music using new sounds generated with machine learnnig blog Building Blocks of Interpretability blog Interview NVIDIA site NVIDIA GPU Technology Conference (GTC) site CUDA site cuDNN site NVIDIA Volta site NVIDIA Tesla P4 docs NVIDIA Tesla V100s site Silicon Valley AI Lab Baidu Research site ICML: International Conference on Machine Learning site CVPR: Computer Vision and Pattern Recognition Conference site Referenced Papers & Research: Deep learning with COTS HPC System paper Building High-level Features Using Large Scale Unsupervised Learning paper OpenAI Learning to Generate Reviews and Discovering Sentiment paper Progressive Growing of GANs for Improved Quality, Stability, and Variation paper and CelebA dataset High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs paper Deep Image Prior site How a Japanese cucumber farmer is using deep learning and TensorFlow blog Sample Talks: Future of AI Hardware Panel video High Performance Computing is Supercharging AI blog/video AI Podcast: Where is Deep Learning Going Next? blog/video Sample Resources: Coursera How Google does Machine Learning site NVIDIA Deep Learning Institute site Udacity AI Nanodegree site Kaggle site TensorFlow site PyTorch site Keras site Question of the week What to watch out for and get involved in at the Game Developers Conference (GDC) this year and in the future? International Grame Developers Association (IGDA) site Fellowship of GDC Parties site ALtCtrlGDC site Experimental Gameplay Workshop site Women in Games International (WIGI) site Blacks in Gaming (BIG) site Serious Games (SIGs) site What's New in Firebase and Google Cloud Platform for Games site Summits to Checkout: AI Game Developers Summit site Game Narrative Summit site Independent Games Summit site Additional Advice: The first two days are summits which are great because topic focused Expo floor takes a good hour to get through WIGI, BIG and SIGs (Google and Microsoft) have the best food GDC is composed of various communities Bring business cards Check out post-mortems Favorite Games: Mass Effect site Final Fantasy wiki Games Mark & Sherol are currently playing: Hearthstone site Dragon Age Origins wiki Where can you find us next? Mark and Sherol are at the Game Developer's Conference (GDC). You can find them via the Google at GDC 2018 site. Sherol will be at TensorFlow Dev Summit speaking about machine learning research and creativity next week.

Product Manager Morgan McLean and Software Engineer JBD join Melanie and Mark this week to discuss the new open source project OpenCensus, a single distribution of libraries for metrics and distributed tracing with minimal overhead that allows you to export data to multiple backends. Morgan McLean Morgan McLean is the Product Manager for Tracing, Debugging, and Profiling at Google, including OpenCensus JBD JBD leads the OpenCensus Go and our integrations with other projects. Cool things of the week Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog github TensorFlow 1.6 release summit TensorFlow Object Detection on iOS youtube Optimizing your Cloud Storage performance: Google Cloud Performance Atlas blog Introducing GCP's new interactive CLI blog docs Interview OpenCensus site docs Github Organisation github How Google uses Census internally blog The value of OpenCensus blog Tracing Zipkin site Stackdriver site docs jaeger github Metrics Stackdriver docs Prometheus site Google Summer of Code site OpenCensus Question of the week I heard there are abilities to natively extend Kubernetes - what does that mean, and also how do I do that? Custom Resource Definitions reference guide Sample Controller github TGIK Custom Controller video series github youtube youtube youtube An Introduction to Extending Kubernetes with CustomResourceDefinitions blog memcached-operator etcd-operator Where can you find us next? Mark will be at the Game Developer's Conference | GDC in March. You can find him via the Google at GDC 2108 site.

Dr. Fei-Fei Li, the Chief Scientist of AI/ML at Google joins Melanie and Mark this week to talk about how Google enables businesses to solve critical problems through AI solutions. We talk about the work she is doing at Google to help reduce AI barriers to entry for enterprise, her research with Stanford combining AI and health care, where AI research is going, and her efforts to overcome one of the key challenges in AI by driving for more diversity in the field. Dr. Fei-Fei Li Dr. Fei-Fei Li is the Chief Scientist of AI/ML at Google Cloud. She is also an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab. Dr. Fei-Fei Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder of Stanford's renowned SAILORS outreach program for high school girls and the national non-profit AI4ALL. For her work in AI, Dr. Li is a speaker at the TED2015 main conference, a recipient of the IAPR 2016 J.K. Aggarwal Prize, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards. Work from Dr. Li's lab have been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the "Great Immigrants: The Pride of America" in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al. Cool things of the week Terah Lyons appointed founding executive director of Partnership on AI article & site Fully managed export and import with Cloud Datastore now generally available blog How Color uses the new Variant Transforms tool for breakthrough clinical data science with BigQuery blog & repo Google Cloud and NCAA team up for a unique March Madness copmetition hosted on Kaggle blog Interview AI4All site, they are hiring and how to become a mentor Cloud AI site Cloud AutoML site Cloud Vision API site and docs Cloud Speech API site and docs Cloud Natural Language API site and docs Cloud Translation API site and docs Cloud Machine Learning Engine docs TensorFlow site, github and Dev Summit waitlist ImageNet site & Kaggle ImageNet Competition site Stanford Medicine site & Stanford Children's Hospital site Additional sample resources on Dr. Fei-Fei Li: Citations site Stanford Vision Lab site Fei-Fei Li | 2018 MAKERS Conference video Google Cloud's Li Sees Transformative Time for Enterprise video Past, Present and Future of AI / Machine Learning Google I/O video Research Symposium 2017 - Morning Keynote Address at Harker School video How we're teaching computers to understand pictures video Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guy with Hoodies" article Dr. Fei-Fei Li Question of the week Where can I learn more about machine learning? Listing of some of the many resources out there in no particular order: How Google does Machine Learning coursera Machine Learning with Andrew Ng coursera and Deep Learning Specialization coursera fast.ai site Machine Learning with John W. Paisley edx Machine Learning Columbia University edx International Women's Day March 8th International Women's Day site covers information on events in your area, and additional resources. Sample of recent women in tech events to keep on radar for next year: Women Techmakers site Lesbians Who Tech site Women in Data Science Conference site Where can you find us next? Mark will be at the Game Developer's Conference | GDC in March.

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!

Deep Kapadia and JP Robinson from New York Times join Mark and Francesc to discuss how they use Google Cloud Platform to serve the New York Times to its readers. About JP Robinson JP Robinson maintains NYT's internal and open source tools and frameworks that are related to the Go programming language. He also lead backend development of NYT's games platform. Recently his team completely rewrote our backend with Go and GCP tools. In doing so they've managed to significantly lower request latencies and cut costs in half. About Deep Kapadia Deep Kapadia manages the Infrastructure and Delivery Engineering, Site Reliability and Test Automation teams at The New York Times. His teams are responsible for providing other engineering teams with tools and processes needed to get their jobs done on a day to day basis. His teams recently have been working on building the GKE deployment pipeline and enabling other teams to migrate to the Cloud from our physical datacenters and also moving their entire edge and routing caching architecture from internally hosted varnish to Fastly. They also helped move most of their site behind HTTPS. Cool things of the week Cutting cluster management fees on Google Kubernetes Engine blog Coming in 2018: GCP's Hong Kong region blog Introducing an easy way to deploy containers on Google Compute Engine virtual machines blog Interview New York Times Crossword site Moving The New York Times Games Platform to Google App Engine blog New York Times in 1996 webarchive Google App Engine site docs Cloud Datastore site docs Kubernetes Engine site docs Cloud Pub/Sub site docs Google BigQuery site docs Cloud Endpoints site docs Drone GAE github Drone GKE github Marvin github openapi2proto github gRPC site New York Time Open site Question of the week What best practices are there for securing a Kubernetes Engine Cluster? Precious cargo: Securing containers with Kubernetes Engine 1.8 blog Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be at NIPS (Neural Information Processing Systems) in Long Beach and will also be attending Black in AI on December 8th.

Myles Borins talks with Mark and Francesc about Node.js from its history, how to contribute, the consensus-seeking governance, and why it's important to Google Cloud Platform. Node.js is an open-source, JavaScript runtime environment built on Chrome's V8 JavaScript engine, and Google is a Platinum Member of the Node.js Foundation. About Myles Borins Myles Borins is a developer, musician, artist, and maker he works for Google as a developer advocate serving the Node.js ecosystem he graduated with a Master of Music Science and Technology from c.c.r.m.a. a.k.a the center for computer research in music and acoustics Cool things of the week Reduced GPU prices on GCP and preemptible local SSDs blog Skylake processors now available in 7 regions blog New Episodes of Learn TensorFlow and Deep Learning, without a PhD: Modern Convolutional Neural Nets video Modern RNN Architectures video Deep Reinforcement Leanring video Interview Node.js site Node.js on Google Cloud Platform site docs Node School site Node.js with Justin Beckwith podcast App Engine site docs Cloud Functions site docs Kubernetes Engine site doc Introduction to Kubernetes: How to Deploy a Node.js Docker App site Socket.io site Question of the week How do you give public postmordems? Fearless shared postmortems - CRE life lessons blog Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be at SOCML (Self-Organizing Conference on Machine Learning) end of this week and NIPS (Neural Information Processing Systems) in Long Beach next week.

On this week's podcast, Eric Anderson shares how Dataprep helps summarize, transform, visualize and cleanup data on the Google Cloud Platform. When doing data analysis, typically data munging can take up most of the time and this serverless tool helps optimize the process. About Eric Anderson Eric is a Product Manager at Google working on Cloud Dataprep and recently Cloud Dataflow. Previously he was at Amazon Web Services, Harvard Business School, General Electric and University of Utah. He's from Salt Lake City, Utah and lives in Mountain View, California with and wife and three kids. Cool things of the week Intel Performance Libraries and Python Distribution enhance performance and scaling of Intel Xeon Scalable ('Skylake') processors on GCP blog The hidden costs of cloud blog and Server Density podcast Monitor and manage your costs with Cloud Platform billing export to BigQuery blog and Public Datasets podcast Kaggle TensorFlow Speech Recognition Challenge site Interview Cloud Dataprep site docs Cloud Dataflow site docs 7 Steps to Mastering Data Preparation with Python blog Design Your Pipeline blog Apache Beam site Question of the week What is feature engineering? Intro to Feature Engineering with TensorFlow video Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be at NIPS (Neural Information Processing Systems) in Long Beach in December

Colt McAnalis joins the podcast this week to talk about his Performance Atlas series where he dives into how to make Google Cloud applications faster and cheaper. In his words, his job is to help get someone promoted. About Colt McAnlis Colt McAnlis is a Developer Advocate at Google focusing on performance & compression. Before that, he was a graphics programmer in the games industry working at Blizzard, Microsoft (Ensemble), and Petroglyph. He's been an Adjunct Professor at SMU Guildhall, a UDACITY instructor (twice), and a Book Author, (twice). When he's not working with developers, Colt spends his time preparing for an invasion of giant ants from outer space. Cool things of the week With Multi-Region Support in Cloud Spanner, have your cake and eat it too blog The State of Data Science & Machine Learning by Kaggle blog and podcast Introducing Certified Kubernetes (and Google Kubernetes Engine!) blog Interview Performance Atlas series Profiling App Engine (Standard) Boot Time video TCP BBR site Cloud Functions site docs Understanding Compression book Google SRE book TCP/IP Illustrated book Ilya Grigorik site Perf Like a Pirate III site Question of the week What are the differences between sustained and committed use discounts? Sustained Use Discounts docs Committed Use Discounts docs Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit.

Brian Granatir comes on the podcast this week to tell us all about the New Zealand company Smart Parking taking advantage of IoT Core and our Serverless products! This is also the inaugural episode of Melanie joining Mark on the podcast! About Brian Granatir Brian Granatir has been developing for the cloud since the beginning, back in 2007. He left Oregon and moved to New Zealand to be with his future wife in 2014. In 2017, he joined Smart Parking to help with the development of their new Smart City platform built on GCP. Before becoming a developer, Brian spent 3 years as a screenwriter in Hollywood. Cool things of the week Demystifying ML: How machine learning is used for speech recognition blog GCP arrives in India with launch of Mumbai region blog Cloud SQL for PostgreSQL adds high availability and replication blog Interview Smart Parking site IoT Core site docs Cloud Pub/Sub site docs Cloud Functions site docs Cloud Datastore site docs BigQuery site docs Google Data Studio site docs Question of the week How do I configure a PostgreSQL Cloud SQL instance for high availability? Configuring an Instance for High Availability docs Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be speaking at QCon is San Francisco next week!

It's time to learn everything about Cloud IoT Core from Indranil Chakraborty, Product Manager, and Gabe Weiss, Developer Advocate on IoT. Listen to Mark and Francesc ask all of the questions you had about IoT but didn't dare to ask. About Indranil Chakraborty Indranil is a product manager for Google Cloud Platform and leads product strategy and development for Cloud IoT Core. Previously, he held product management roles at Google Fiber and sales strategy roles for Google AdWords. Indranil holds an MBA from UCLA Anderson. About Gabe Weiss Gabe works on the Google Cloud Platform team ensuring that developers can make awesome things, both inside and outside of Google. Focused primarily on the Internet of Things, it's his job to be sure IoT devices can play nicely with the GCP ecosystem. That's everything from speaking at conferences, writing example code, running bootcamps, writing technical blogs or just doing some hand holding. Prior to Google he's worked in virtual reality production and distribution, source control, the games industry and professional acting. Cool things of the week Announcing Go 1.8 on App Engine Standard Environment GCP Podcast hits 100 episodes — here are the 10 most popular episodes GCP products described in 4 words or less Interview Cloud IoT Core Google Cloud IoT Solutions Announcing Cloud IoT Core public beta Question of the week Francesc says his goodbyes to Google and the Google Cloud Platform Podcast. Thanks and goodbye, Google friends

Google, the Cloud, or podcasts would not exist without the internet, so it's with an incredible honor that we celebrate our 100th episode with one of its creators: Vint Cerf. Listen to Mark and Francesc talk about the origins, current trends, and the future of the internet with one of the best people to cover the topic. About Vint Cerf Vinton G. Cerf is vice president and Chief Internet Evangelist for Google. He contributes to global policy development and continued spread of the Internet. Widely known as one of the "Fathers of the Internet" Cerf is the co-designer of the TCP/IP protocols and the architecture of the Internet. He has served in executive positions at MCI, the Corporation for National Research Initiatives and the Defense Advanced Research Projects Agency and on the faculty of Stanford University. Vint Cerf served as chairman of the board of the Internet Corporation for Assigned Names and Numbers (ICANN) from 2000-2007 and has been a Visiting Scientist at the Jet Propulsion Laboratory since 1998. Cerf served as founding president of the Internet Society (ISOC) from 1992-1995. Cerf is a Foreign Member of the British Royal Society and Swedish Academy of Engineering, and Fellow of IEEE, ACM, and American Association for the Advancement of Science, the American Academy of Arts and Sciences, the International Engineering Consortium, the Computer History Museum, the British Computer Society, the Worshipful Company of Information Technologists, the Worshipful Company of Stationers and a member of the National Academy of Engineering. He has served as President of the Association for Computing Machinery, chairman of the American Registry for Internet Numbers (ARIN) and completed a term as Chairman of the Visiting Committee on Advanced Technology for the US National Institute of Standards and Technology. President Obama appointed him to the National Science Board in 2012. Cerf is a recipient of numerous awards and commendations in connection with his work on the Internet, including the US Presidential Medal of Freedom, US National Medal of Technology, the Queen Elizabeth Prize for Engineering, the Prince of Asturias Award, the Tunisian National Medal of Science, the Japan Prize, the Charles Stark Draper award, the ACM Turing Award, Officer of the Legion d'Honneur and 29 honorary degrees. In December 1994, People magazine identified Cerf as one of that year's "25 Most Intriguing People." His personal interests include fine wine, gourmet cooking and science fiction. Cerf and his wife, Sigrid, were married in 1966 and have two sons, David and Bennett. Also, he's awesome. Cool things of the week We interviewed Vint Cerf! Interview Question of the week Who will you interview for episode 100? Vint Cerf.

Firebase Developer Advocate David East joins Francesc and Mark to discuss the mega powerful combination of Firebase Hosting and Cloud Functions for Firebase! About David East David East is a Developer Advocate for Firebase at Google. Web die-hard. Also possibly the shortest bio on the podcast. Cool things of the week Introducing custom roles, a powerful way to make Cloud IAM policies more precise blog Serverless Transfer Learning with Cloud ML Engine and Keras blog Five things learned using terraform to manage cloud infrastructure blog Interview Firebase Hosting site docs Cloud Functions for Firebase site docs Cloud Functions for Firebase Sample Library github Serve Dynamic Content with Cloud Functions docs Cloud Hosting: Deploying Your Site docs Express Javascript Framework site Cache Control Headers w3c Server-side Rendering with JavaScript Frameworks youtube Node.js apps on Firebase Hosting Crash Course youtube Question of the week How do I learn more about Google Cloud? I love the docs, but I'm looking for something more like online classes - what can I do? The Google Cloud Coursera Course, Starting Oct 16 site Where can you find us next? Francesc is currently presenting at Google Cloud Summit Paris right after speaking at Velocity London, and then heading back to Paris for dotGo. Mark is heading to Australia for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

This summer (aka Australian winter) a new Cloud Region was announced in Australia and today Francesc and Mark talk to two Australian engineers, Andrew Walker founder of 3wks and Graham Polley, about how this new region has changed the way they think about the cloud down under. About Andrew Walker Andrew is the founder of 3wks who have delivered 190 projects on Google Cloud platform for enterprise customers in Australia. He loves everything serverless, from App Engine through to BigQuery. About Graham Polley Graham is a senior software engineer based out of Melbourne Australia, and works for Shine Solutions. Shine are a enterprise digital consultancy with offices in Melbourne & Sydney. Being an official Google Developer Expert, he's passionate about promoting the adoption of cloud technologies into software development, and regularly blogs and gives presentations. He has extensive experience in building big data solutions for clients using the Google technology stack, and in particular with BigQuery & Dataflow. Graham works very closely with the Google cloud engineering teams in the US, where he is a member of their cloud platform trusted tester program, and the solutions he helps build are used as internal exemplars of developer use cases. Cool things of the week How we built a brand new bank on GCP and Cloud Spanner: Shine blog post Now shipping: Compute Engine machine types with up to 96 vCPUs and 624GB of memory announcement Google Cloud Dataprep - Data Handling Made Easier Medium Interview Sydney Cloud Region docs Google Cloud Platform expands to Australia with new Sydney region - open now announcement Google Cloud Platform Geography and Regions docs Google Cloud Dataflow docs Google BigQuery docs Question of the week Is Tensorflow good for general math computation? Yes! It's great for any linear algebra programs. Linear Algebra Shootout: NumPy vs. Theano vs. TensorFlow blog post Where can you find us next? Francesc just released the second part of this #justforfunc code review. Next week he will be presenting at Go Meetup London, Velocity London, and Google Cloud Summit Paris. Mark is heading to Australia for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

Dan McGrath and Alex Dufetel join Francesc and Mark in the studio this week to discuss Cloud Firestore, the brand new, fully-managed NoSQL document database for mobile and web app development. About Dan McGrath Dan McGrath is the Product Manager for Cloud working on databases such as Cloud Firestore. Dan has spent the last decade working in product & engineering for large scale database systems. He has a background in banking software, databases, and information security. About Alex Dufetel Alex Dufetel is a Product Manager for the Firebase team at Google, working on Backend-as-Service products such as the Realtime Database and Cloud Firestore. Alex was previously Director of Products at Fuze, a video conferencing and enterprise communications provider and, before that, a co-founder of LiveMinutes, a real-time team collaboration app. Cool things of the week Extending per second billing in Google Cloud blog PHP 7.1 for Google App Engine is generally available blog Java 8 on App Engine standard environment is now generally available blog migration Kubernetes 1.8: Security, Workloads and Feature Depth blog Google Container Engine - Kubernetes 1.8 takes advantage of the cloud built for containers blog Announcing Cloud IoT Core public beta blog Interview Cloud Firestore announcement site docs Cloud Firestore server sdks docs Extend Cloud Firestore with Cloud Functions docs Cloud Firestore for Realtime Database Developers blog Firestore Discuss google-group Firestore Realtime Database site docs Question of the week How do I import/export data from my Cloud Datastore? Exporting and Importing Entities docs Scheduling an Export docs Where can you find us next? Francesc just released a new #justforfunc and he'll be presenting at Go Meetup London, Velocity London, Google Cloud Summit Paris and Devfest Nantes He is heading to Australia for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

Avere provides high performance file system solutions for hybrid cloud infrastructures, and is partner for Google Cloud Platform. To tell you all about it Francesc and Mark are joined by Scott Jeschonek, Director of Cloud Products at Avere, and Dave Elliott, Developer Advocate at Google Cloud Platform. About Scott Jeschonek Scott Jeschonek is Director of Cloud Products at Avere Systems, a leading provider of enterprise storage for the hybrid cloud. Scott has spent his past 20 years synthesizing his enterprise, telecommunications and vendor experience together to provide a unique perspective to the implications of the cloud phenomenon. About Dave Elliott Dave Elliott is a Developer Advocate for Google Cloud Platform. In this role he engages communities to inspire them to try new products and technologies, embrace new ideas, and he is the voice of those communities to product and engineering teams. Prior to Google, Elliott was a Chief Cloud Evangelist at Symantec where he advocated for new architectures in data and storage. Mr. Elliott was an early advocate of cloud computing while at Sun Microsystems in the 1990s and has spent his career helping companies understand and embrace emerging technologies. Prior to Symantec, Elliott served as GM Americas at Arkeia Software, an innovator in data protection for virtual and cloud environments. Earlier, Mr. Elliott was responsible for Strategic Development for Iomega Corporation's PSS Business Unit, and held positions at Blue Martini Software and with management consulting firm A.T. Kearney. Mr. Elliott holds an MBA from the University of California at Berkeley and an BA in Quantitative Economics & Decision Sciences from the University of California, San Diego. Cool things of the week GCP arrives in South America with launch of São Paulo region! announcement Announcing IPv6 global load balancing GA announcement Read between the lines with Cloud Natural Language's new recognition features blog Classifying text content with the Natural Language API big data blog Google Cloud Dataprep is now a public beta big data blog Interview Avere Systems Subnetworks docs Virtual Private Cloud (VPC) Network Overview docs #40 Rodeo FX with Alan Fregtman GlusterFS gluster.org averesystems.com Question of the week Container Builder seems pretty cool … but how do I get started? Google Cloud Container Builder Documentation #79 Container Builder with Christopher Sanson and David Bendory Google Container Builder youtube series by Carter Morgan Google Container Builder, Part 1 (Cloud Rolling Update) Google Container Builder, Part 2: Multi-Step Builds (Cloud Rolling Update) Where can you find us next? Francesc will is presenting at Google Cloud Summit in Chicago today and just released a new #justforfunc episode on justforfunc #20: code reviewing ursho (part 1). In October, he'll be presenting at Velocity London, Google Cloud Summit Paris and Devfest Nantes Mark is attending Strangeloop. He is also heading to Australia in October for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

Sourcegraph provides navigation tools for source code, and it's powered by Go and Google Cloud Platform. Quinn Slack, CEO and co-founder, joins your co-hosts Francesc and Mark to discuss how they built their features on top of our infrastructure. About Quinn Slack Quinn Slack is CEO and co-founder of Sourcegraph, code intelligence software that lets software teams ship better and faster. Prior to Sourcegraph, Quinn co-founded Blend, an enterprise technology company with over 150 employees dedicated to improving home lending. His long-term goal is to build the products and infrastructure to support the future world where billions of people have coding fluency (just as billions of people today can read and write). Cool things of the week Introducing managed SSL for Google App Engine announcement With Forseti, Spotify and Google release GCP security tools to open source community announcement Global Kubernetes in 3 Steps on GCP medium by Christopher Grant Interview Sourcegraph Sourcegraph source code GitHub Google Container Engine Helm GitHub GCPPodcast #50 Helm with Michelle Noorali and Matthew Butcher sourcegraph.com Question of the week How can I automatically redact Personally Identifiable Information (PII) or other sensitive information? Data Loss Prevention API docs Demo of Data Loss Prevention at Cloud Summit Sydney YouTube Where can you find us next? Francesc will be presenting at Google Cloud Summit in Chicago next week. In October, he'll be presenting at Velocity London, Google Cloud Summit Paris and Devfest Nantes Mark is attending Strangeloop in September. He is also heading to Australia in October for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

Have you ever wanted to know what powers BigQuery under the hood? Tino Tereshko and Jordan Tigani sit in front of the microphone with co-hosts Mark and Francesc to talk all about it! About Tino Tereshko Tino is the Big Data Lead for Office of the CTO at Google Cloud, focusing on building strategic relationships with the world's top Enterprises in the interest of sharing and accelerating technological innovation. Tino hails from the BigQuery team, where he solved difficult cloud-native product problems, enabled Googlers and customers, and built programs like BigQuery Pacific. In earlier years Tino held various positions of leadership in several Silicon Valley startups, and could be found working as a quant developer on the floor of the Chicago Board of Equities at a boutique market making firm. Tino holds a Bachelor's degree in Applied Mathematics and Economics from University of California - Davis. When not at work, you can usually find him playing beach volleyball, cycling, skiing, paddle boarding, or enjoying a nice glass of wine. About Jordan Tigani Jordan was one of the founding engineers on Google BigQuery, wrote the first book on the subject, and is now the engineering lead of the product. Before Google, he worked at a number of star-crossed startups, and also spent time at Microsoft in the Windows kernel team and MSR. Cool things of the week This week in Google Cloud Platform medium This week in Google Cloud — "Premium and Standard networking tiers, NYT Games on App Engine, Puppet for GCP, and a firewall for App Engine" blog Creating a GCP type provider in 6 (well 7) easy steps blog Aja Hammerly's Battleship blog series Interview BigQuery site docs BigQuery under the hood blog Dremel paper Borg and Kubernetes with John Wilkes podcast Question of the week I want to talk to to my phone like it's J.A.R.V.I.S. and make it do things. How can I build a bot to do this? Cloud Speech API site docs Cloud Natural Language Processing API site docs API.AI site docs Intents docs Go library github BigQuery Where can you find us next? Francesc will be presenting at Google Cloud Summit in Sydney and Google Cloud Summit in Chicago in September. In October, he'll be presenting at Velocity London, Google Cloud Summit Paris and Devfest Nantes Mark is speaking at Austin Game Conference and attending Strangeloop in September. He is also heading to Australia in October for GDG Devfest Melbourne and Game Connect Asia Pacific and will be hanging out at Unite Melbourne and PAX Australia.

What is the difference between AI and ML? Melanie Warrick joins your co-hosts Mark and Francesc to discuss the differences and what applications it can have. About Melanie Warrick Melanie is a Senior Developer Advocate at Google. Previous experience includes work as a founding engineer on Deeplearning4J as well as implementing machine learning in production at Change.org. Prior experience also covers business consulting and large enterprise technology implementations for a wide variety of companies. Over the last couple years, she's spoken at many conferences about artificial intelligence, and her passions are working on machine learning problems at scale. Cool things of the week Announcing new Stackdriver Logging features and expanded free logs limits blog Preventing log waste with Stackdriver Logging blog How to build a conversational app using Cloud Machine Learning APIs, Part 3 blog Your next app might be a bot! Building conversational UX with API.AI youtube The canonical new book about stream processing announcement Quickdraw site github Interview Narrow AI wikipedia Quantum Computing wikipedia TensorFlow site DeepMind site Cloud Machine Learning Engine site Keras site Pytorch site Caffe site O'Reilly Artificial Intelligence (San Francisco) talk about reinforcement learning Strata Data Conference (New York) talk about AI Grace Hopper (Orlando) talk about AI Minds Mastering Machines (London) talk about AI Crunch (Budapest) talk about machine learning Question of the week What if you want you want to do an action whenever any Pod is created or destroyed on Kubernetes? Kubernetes Pod Watch API docs kubectl get command docs Where can you find us next? Francesc just released an episode of justforfunc last week on Go Type Aliases, and will be presenting at Google Cloud Summit in Sydney in September and then heading to Google Cloud Summit in Chicago. Mark is speaking at Gameacon and Austin Game Conference and attending Strangeloop once he's done with all that. He is also heading to Australia in October for GDG Devfest Melbourne and Game Connect Asia Pacific as well.

Michael Will, Director of Technical Operations at Phoenix One Games, joins your co-hosts Mark and Francesc today to tell us about their migration from their own hardware to the cloud, how they did it, and what they learned from it. About Michael Will Michael is experienced in the design and deployment of high performance compute clusters both from hardware and software aspect with a parallel execution and solution architecture focus from IBM 390 running Linux to Penguin Computing commodity hardware for 10+ years, applying in the last 5 years to his passion for real time strategy gaming at Phoenix Age / Kabam / Phoenix One Games. Cool things of the week Moving The New York Times Games Platform to Google App Engine New York Times blog Introducing Network Service Tiers: Your cloud network, your way GCP blog Titan in depth: Security in plaintext GCP blog Final Day at Cloud Next gcppodcast 67 Interview Google Compute Engine docs Gaming Solutions on Google Cloud Platform docs Google Cloud Storage docs Couchbase Google Cloud and Couchbase Server: Zero to Millions of Operations in No Time couchbase.com VERTICA database info Phoenix One Games Question of the week How to secure an App Engine application? App Engine login (required/admin in your app.yaml), only Google accounts. OAuth2: Firebase Authentication Auth0. Cloud Identity-Aware Proxy App Engine firewall (beta) Where can you find us next? Francesc just released another justforfunc episode on Go Type Aliases, and will be presenting at Google Cloud Summit in Sydney in September. Mark is entering crazy season, currently speaking at Pax Dev and then attending Pax West right after. He'll then be speaking at Gameacon and Austin Game Conference and attending Strangeloop once he's done with all that.

In this week's episode Mark and Francesc are joined by Amit Pande, Product Management Leader for Google Cloud to discuss how machine learning can automate the media and entertainment industry. About Amit Pande Amit Pande is a Product Management Leader for Google Cloud. In this role, Amit is responsible for working closely with leaders across Media and Entertainment Industry to help them envision and transform their business with Google Cloud, Big Data and Machine Learning. Amit is a veteran product manager with 6 years of experience leading several successful products across Google Search, Ads and Google Play product areas. Prior to joining Google, Amit worked in various product and engineering leadership roles at Microsoft for 8 years including on Xbox Video and Music. Amit holds a masters degree in Computer Science from University of Southern California. He lives in San Francisco with his wife. Cool things of the week Cloud Speech API improves longform audio recognition and adds 30 new language variants blog Guide to common Cloud Dataflow use-case patterns part 1 part 2 How to build a conversational app using Cloud Machine Learning APIs part 1 part 2 Interview Cloud Media solutions Cloud CDN site docs Cloud AI products Tensorflow site Cloud Machine Learning Engine site docs Cloud Natural Language API site docs Cloud Speech API site docs Cloud Video Intelligence API site docs IBC 2017 in Amsterdam - Sept 14th - 18th, 2017 MACHINE INTELLIGENCE COMES TO CONTENT CREATION - Organized by ETC in LA on Sept 27, 2017 Question of the week We have a new answer to the question from last week! Is there a way to access and administer Kubernetes from my phone? Thanks to Dylan Graham for a great answer! Cabin github iOS Where can you find us next? Francesc will be presenting at Google Cloud Summit in Sydney in September, Velocity London in October, dotGo in Paris and Gophercon Brazil, in November. Mark is will be presenting at Pax Dev and then attending Pax West right after. He'll then be speaking at Gameacon and Austin Game Conference and attending Strangeloop once he's done with all that.

Mark and Francesc welcome the incredible Greg DeMichillie into their studio this week, to talk all about Google Cloud's Office of the CTO, and how it works with enterprise companies. About Greg DeMichillie Greg has 20 years experience in creating great computing platforms for developers and IT alike. He has been at Google since before the inception of Google Cloud Platform and as Director of Product he lead the product teams for App Engine, Compute Engine, Kubernetes & Container Engine, as well as the Developer Console, SDKs, and Billing system. He has delivered keynote presentations and product demos at events such as Google I/O and Google Cloud NEXT as well as interviews with the New York Times, Wall St Journal, and other publications. Prior to joining Google, he had leadership roles at variety of companies including Adobe and Amazon, as well as a decade at Microsoft where he was a developer on the first version of Visual C++, the development manager for Microsoft's Java tools, and lead the product team for the creation of C#. Cool things of the week Cloud SQL for PostgreSQL updated with new extensions blog docs issue tracker discussion group Celebrating Six Months of Open Access, plus The Met on Google BigQuery blog Deploying Clojure applications to Google Cloud blog Announcing price cuts on Local SSDs for on-demand and preemptible instances blog Interview How the queen of Silicon Valley is helping Google go after Amazon's most profitable business article Lush migrating to Google Cloud in 22 days blog Evernote migrating to Google Cloud blog Google Cloud Summit Sydney site Google Cloud Summit Paris site Google Cloud Summit Seattle site Google Cloud Summit Chicago site Google Cloud Summit Stockholm site Look out for more Summits in: Singapore, Kuala Lumpur, Bangalore, Munich, and Sau Paulo Question of the week Is there a way to access the Kubernetes dashboard without running kubectl proxy? Such as, if I wanted to view or control my Kubernetes cluster from my phone? Kubernetes UI docs kubectl proxy docs Creating Authorized Networks for Master Access docs Google Cloud Shell site docs Where can you find us next? Francesc is going on holidays!!! But he just released a justforfunc episode on Contributing to the Go project, and will be presenting at Google Cloud Summit in Sydney in September. Mark is entering crazy season, and will be presenting at Play NYC, then speaking at Pax Dev and then attending Pax West right after. He'll then be speaking at Gameacon and Austin Game Conference and attending Strangeloop once he's done with all that.

Today Francesc and Mark have the honor to be joined by Alim Jaffer and Mo Firouz from Heroic Labs to discuss their open source framework for social and realtime apps and games. About Alim Jaffer A member of the founding team, Alim joined Heroic Labs in 2016 as the VP of Product after having worked in startups focused in the games and health verticals. He is based in Vancouver, Canada and San Francisco. About Mo Firouz Mo cofounded Heroic Labs and is part of the core engineering team. Mo has worked on various products in Heroic Labs including the core Nakama server as well as Heroic Managed Cloud where he was primarily responsible for automating server provisioning and the monitoring stack with Kubernetes. Mo previously worked as a system architect in VisualDNA and built scalable big-data analytics systems, and prior to that built realtime high frequency trading systems. Cool things of the week CRE life lessons: What is a dark launch, and what does it do for me? blog post Cloud Dataproc is now even faster and easier to use for running Apache Spark and Apache Hadoop announcement Canary Deployments using Istio blog post Interview Heroic Labs heroiclabs.com Heroic Labs on GitHub repository Heroic Labs Documentation Google Container Engine CockroachDB Question of the week Accessing Cloud SQL instances from Cloud Functions? Use SQL Proxy, as for the Managed Instance Group, which we cover on episode 81. Connecting MySQL Client from Compute Engine About the Cloud SQL Proxy CloudSQL Proxy GitHub repo Where can you find us next? Francesc just released a justforfunc episode on Contributing to the Go project. He'll be soon taking some well deserved holidays! Mark will be speaking at Pax Dev and then attending Pax West right after.

Tim Hockin, one of the engineers that started the Kubernetes project, joins Francesc and Mark to talk about all of the cool stuff coming up with Kubernetes 1.7. About Tim Hockin Tim was one of the first engineers on Kubernetes and GKE, where he has been involved in things like networking, storage, node management, API, plugins, and more. Before Kubernetes, he worked on Google's internal systems, Borg and Omega, mostly on the node management side, and on Google's machine management, hardware bringup, and kernels. He has been contributing to open-source projects since 1995, when he first learned C. Cool things of the week Cloud Shell's code editor now in beta announcement How App Engine helped power Super Mario Run blog post New hands-on labs for scientific data processing on Google Cloud Platform blog post Interview kubernetes.io is an open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes 1.7: Security Hardening, Stateful Application Updates and Extensibility blog post Kubernetes 1.7 release notes Kubernetes StatefulSets docs Kubernetes API Aggregation GitHub issue Extend the Kubernetes API with CustomResourceDefinitions docs Question of the week When should I use a pod and when a container? Tim Hockin's slides are here. Where can you find us next? Francesc just released a justforfunc episode on Go Testing. He'll be soon taking some well deserved holidays! Mark will be speaking at Pax Dev and then attending Pax West right after.