Google Cloud Platform Podcast

Mark Mirchandani and Michelle Casbon take over the show this week to discuss AI and the PAIR Guidebook to Human-Centered AI. Mark Mandel pops in on the interview, and Di Dang, Design Advocate at Google, talks about her role in designing and building the guidebook with the intent of helping others create quality AI projects. Di describes human-centered AI as a practice of not only being conscious of the project being built, but also considering how this AI project will impact us as humans at the end of the day. We influence machine learning so much, both intentionally and unintentionally, and it’s our job to look at the project and results as a whole. In the guidebook, topics like data bias in machine learning, what design patterns work, how to establish trust with the user, and more are addressed. Di explains that the guidebook is a work in progress that will develop with input from users and advances in technology. Di Dang Di Dang recently joined Google’s Design Relations team as a Design Advocate supporting emerging technologies such as augmented reality and machine learning. Previously, she worked as a Senior UX Designer and led the Emerging Tech group at Seattle-based digital agency POP, advising clients on how VR/AR, web/mobile, conversational UI, and machine learning could benefit their end users. With a degree in Philosophy and Religion, she considers herself an optimistic realist who is passionate about ethical design. You can find Di onstage doing improv or on Twitter @dqpdang. Cool things of the week Bringing the best of open source to Google Cloud customers blog James Ward’s Cloud Run button site Michelle’s favorite codelabs from I/O TPU-speed data pipelines site Your first Keras model site Convolutional neural networks site Modern convnets, squeezenet, with Keras with TPUs site Interview People + AI Guidebook site PAIR site GCP Podcast Episode 114: Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell podcast Machine Learning Crash Course site Google Clips site Google Brain Team site Question of the week How do I get started with practical AI? Build an Appointment Scheduler Chatbot with Dialogflow Where can you find us next? Michelle will be at Google I/O and Kubecon Europe. No I/O event in your area? You can host one!

On the podcast today we have a fascinating interview from our time at Cloud Next ‘19! Mark and Jon went in-depth with Andrew Davidson about MongoDB to find out what they do and how they do it. MongoDB is a document database that stores JSON natively, making it super easy for developers to work with data in a way that’s similar to how they think about building applications. The database is scalable, highly available by default with built-in replication, has an intuitive query language, and can be run anywhere. MongoDB Atlas is a global database service that runs on Google Cloud; it automates deployment and provisioning, and ongoing operations such as maintenance, upgrades, and scaling with no downtime. Atlas is a declarative model to manage your databases easily, is easy to migrate to, and offers advanced features such as global clusters for low latency read and write access anywhere in the world. In the future, Andrew sees a world where we think in terms of JSON-style documents instead of just tables. MongoDB can help make that happen. Andrew Davidson Andrew Davidson, a Silicon Valley native who lives in NYC, is the Director of Cloud Products at MongoDB with a focus on MongoDB Atlas, MongoDB’s global database as a service. He previously worked on scaling global mapping operations at Google, has a background in physics, and has lived extensively in South Asia. Cool things of the week Level up on Android with Indie Games Accelerator blog Berglas site American Cancer Society uses Google Cloud machine learning to power cancer research blog Efficiently scale ML and other compute workloads on NVIDIA’s T4 GPU, now generally available blog GCP Podcast Episode 168: NVIDIA T4 with Ian Buck and Kari Briski podcast After school, this teen tracks climate change with NASA blog Interview MongoDB site MongoDB Atlas site JSON site Virtual Private Cloud (VPC) site Kubernetes site MongoDB Charts site MondgoDB Stitch site MongoDB University site MongoDB.local site MongoDB World site Question of the week How can I access Google Cloud Shell from any terminal? Introducing the ability to connect to Cloud Shell from any terminal blog gcloud alpha cloud-shell ssh site gcloud alpha cloud-shell scp site gcloud alpha cloud-shell get-mount-command site Where can you find us next? Jon and Mark will be at IO.

Ann Wallace and Michael Wallman are here today to teach Aja and Mark about Professional Services Organization (PSO) at Google Cloud. PSO is the “post sales” department, helping clients come up with solutions for security, data migration, AI, ML, and more. Listen in to this episode to learn more about the specifics of the PSO! Ann Wallace Ann Wallace is the Global Security Practice Lead for Google PSO. She has spent the last 6 months building out the security practice. Ann is passionate about inclusion in tech. She is the West regional lead for Google Cloud EDII and a volunteer with Women Who Code Portland. Before Google Ann spent 14 years at Nike in various engineering and architecture roles. CloudNOW named her one of the top 10 Women in Cloud in 2015. When not working, Ann can be found ultra-trail running around the world. Michael Wallman Michael Wallman is a TPM, working on Cloud Migration for internal Alphabet companies and acquisitions. He also serves as the America’s infrastructure practice lead. He is in his 3rd year at Google. Prior to Google, Michael is Cloud “OG”, and spent almost 5 years growing the AWS Professional Services organization from 5 to 700+. Before sticking his head in the clouds, Michael helped found 2 start-ups: Aspera and SensysNetworks. Outside of work Michael spends his time chasing his 2 toddlers and mountain lions around the Berkeley Hills. Ann and Michael actually met 5 years ago, working on Nike’s first cloud migration project. This encompassed reverse engineering a custom Perl configuration management system. (Who doesn’t love Perl?) It’s a small cloud world. Cool things of the week Amy built an app that uses Cloud Vision to identify key features of images texted to it link Want to Change the Game? Design your own with Google Play blog Change the Game site The team based game of life app we demoed during the keynote is still up site How we search for bow wows and meows blog Why do cats and dogs…? site Interview G Suite site Chrome site GKE site Kubernetes site Anthos (the new Cloud Services Platform) site Pub/Sub site GCS site GCS Dual-Region Buckets site Grafeas site CRDS site Exploring container security: Digging into Grafeas container image metadata blog CRE site SRE site Cloud Consulting Services site Question of the week How do I cache files between builds in Cloud Build? Cloud Builders Community site Where can you find us next? Mark will be at IO, Open Source in Gaming Day which is co-located with Open Source North America Summit, and CFP. Aja will be online! She has blog posts coming on assessing coding during interviews, using Ruby + GCP for weird stuff, and many other things. Our guests will be at Kubecon EU.

Mark Mirchandani is our Mark this week, joining new host Michelle Casbon in a recap of their favorite things at Next! The main story this episode is Cloud Run, and Gabi and Mark met up with Steren Giannini and Ryan Gregg at Cloud Next to learn more about it. Announced at Next, Cloud Run brings serverless to containers! It offers great options and security, and the client only pays for what they use. With containers, developers can use any language, any library, any software, anything! Two versions of Cloud Run were released last week. Cloud Run is the fully managed, hosted service for running serverless containers. The second version, Cloud Run GKE, provides a lot of the same benefits, but runs the compute inside your Kubernetes container. It’s easy to move between the two if your needs change as well. Steren Giannini Steren is a Product Manager in the Google Cloud Platform serverless team. He graduated from École Centrale Lyon, France and then was CTO of a startup that created mobile and multi-device solutions. After joining Google, Steren managed Stackdriver Error Reporting, Node.js on App Engine, and Cloud Run. Ryan Gregg Ryan is a product manager at Google, working on Knative and Cloud Run. He has over 15 years experience working with developers on building and extending platforms and is passionate about great documentation and reducing developer toil. After more than a decade of working on enterprise software platforms and cloud solutions at Microsoft, he joined Google to work on Knative and building great new experiences for serverless and Kubernetes. Cool things of the week News to build on: 122+ announcements from Google Cloud Next ‘19 blog Mark’s Favorite Announcement: Network service tiers site Michelle’s Favorite Announcements: Cloud Code site Cloud SQL for Postgres now supports v11 release notes Cloud Data Fusion for visual code-free ETL pipelines site Cloud AI Platform site AutoML Natural Language site Google Voice for G Suite blog Hangouts Chat in Gmail site Kubeflow v0.5.0 release site Interview Cloud Run site Knative site Knative Docs site Firestore site App Engine site Cloud Functions site GKE site Cloud Run on GKE site Understanding cluster resource usage site Docker site Cloud Build site Gitlab site Buildpacks site Jib (Java Image Builder) site Pub/Sub site Cloud VPC site Google Cloud Next ‘19 All Sessions videos Question of the week If I want to try out Cloud Run, how do I get started? Get started with the beta version by logging in site Quicklinks site Codelab site Where can you find us next? Gabi is at PyTexas Jon and Mark Mandel are at East Coast Game Conference Michelle & Mark Mirchandani will be at Google IO in May Michelle will be at Kubecon Barcelona in May

Welcome to day three of Next! More awesome interviews await in this episode, as hosts Mark Mirchandani, Aja Hammerly, Mark Mandel, Jon Foust and their guests explore more of Next. To start, Dan of Viacom joins Mark and Jon to talk about his job in the TV business and why he loves Istio. Host-turned-guest Aja and Lauren of the Developer Relations team sat in the booth to talk with the Marks about the developer keynote at Next. Aja and Lauren elaborate on how they work to promote Next and put together content inclusive of all aspects of Google Cloud. Mark and Mark hear how Yuri from Scotiabank is using Kubernetes to help advance Scotiabank’s latest projects. Anthony from Google joins the conversation, too. And lastly, we tease you with a short interview with Andrew of MongoDB to speak more on the partnership between MongoDB Atlas and Google Cloud. Andrew will be joining us for a full interview on the podcast later this year! Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 3 Run Channel video Google Cloud Next ‘19: Day 3 Build Channel video Google Cloud Next ‘19: Day 3 Collaborate Channel video Day 3 at Next ‘19: A look back at an amazing week blog Playlist: All Sessions - Google Cloud Next ‘19 videos Viacom site How Viacom modernized its Intelligent Content Discovery Platform with Google Cloud blog GKE site Anthos site Istio site Developer Keynote: Get to the Fun Part (Cloud Next ‘19) video Jenkins site Slack site Cloud Run site Announcing Cloud Run, the newest member of our serverless compute stack blog GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast Dev Zone Walkthrough (Cloud Next ‘19) video Dev Zone Experiment Pizza Authenticator (Cloud Next ‘19) video Scotiabank site Kubernetes site Google Cloud Next ‘19: Day 2 Product Innovation Keynote (Justin Arbuckle at 25:23) video Securing Kubernetes Secrets (Cloud Next ‘19) video MongoDB site MongoDB Atlas site Where can you find us next? The GCP Podcast will be back to its regular schedule next week!

The podcast celebrates day two of Next as our hosts speak with some more conference attendees. Andre came by to talk with Aja and Jon about his work with Stackdriver IRM and their mission for fewer, shorter, and smaller outages. We had three hosts in the booth with guest, Anne, who works for the GCP Trust and Security Product Team. Brian, Mark, and Aja find out exactly what Anne does at GCP and how she’s enjoying Next! Brian and Mark also met up with Mario who came all the way from Munich, Germany. Mario runs the Cloud Community in his hometown, and he shared his thoughts on Anthos and what he’s excited about at Next. Last but not least, Valentin stopped by to talk with Mark and Jon about Go and the presentation he’s giving at Next on site performance. Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 2 Run Channel video Google Cloud Next ‘19: Day 2 Build Channel video Stackdriver site Stackdriver Incident Response and Management site Stackdriver Incident Response and Management documentation docs Data Management: The New Best Practice for Incident Response (Cloud Next ‘19) video Stackdriver Profiler site GKE site Increasing trust in Google Cloud: visibility, control and automation blog GKE Sandbox site gVisor site Hybrid Cloud Sessions - Google Cloud Next ‘19 videos Google Cloud Next ‘19: Day 1 Secure Channel video Google Cloud Next ‘19: Day 2 Secure Channel video Anthos site Meet Anthos! (Cloud Next ‘19) video Introducing Anthos: An entirely new platform for managing applications in today’s multi-cloud world blog Cloud SQL site Making Google Cloud the best place to run your Microsoft Windows applications blog How to Migrate Windows Workloads to Google Cloud (Cloud Next ‘19) video Qwiklabs site Dev.to site Go site Go Tools site Cloud Run site Announcing Cloud Run, the newest member of our serverless compute stack blog Where can you find us next? We’re at Next this week! Stop by and say hi!

We’re at Cloud Next this week with special guests, special hosts, and more! On day one, Gabi and new host Mark Mirchandani were able to speak with Jonathan Cham, Customer Engineer at Google Cloud, about his experiences with Google Next. Ori of the Cloud SQL team shared exciting news about Cloud SQL Server. Later, Aja was joined by co-host Brian Dorsey who elaborated on his Next talk, as well as his favorite things at Next. They were able to get a quick interview with Matt and Nate about Skuid and what they’re looking forward to at Cloud Next. Jose and Bryan of Onix stopped by as well to talk about their company and their experiences in comedy! Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 1 Run Channel video Cloud Next Opening Keynote video Anthos site Cloud SQL site SQL Server on Google Cloud site Skuid site Firebase site Cloud SQL for PostgreSQL site Google Compute Engine site Onix site Cloud Search site OnSpend site GSuite site Onix Outreach site Where can you find us next? We’re at Next this week! Stop by and say hi!

Gabi is back with Mark this week in an interview with Connor Gilbert of StackRox, a Kubernetes security company. StackRox uses Kubernetes and containers to maximize security for customers across the container lifecycle. Connor explains how they monitor your containers through building, deploying, and finally the running of the application, and keep your project secure through all stages. StackRox identifies risks and weak areas, then responds in real time. Connor’s advice for our listeners is to understand what’s going on with your containers and your application. Look at the data, the specs, and your options and then, if-needed, adjust the defaults to optimize the security of your app. Connor Gilbert Connor Gilbert is a product manager at StackRox, a Kubernetes security company, where he contributes to product vision and advocates for customer needs. Connor previously worked in architecture and engineering roles at StackRox. Before that, as Security Research Scientist at Qadium, he built tools to uncover network perimeter exposures and conducted DARPA Internet security research. He first discovered Kubernetes in 2015 and has been using it on GCP ever since. Cool things of the week Simplify reporting with the Sheets data connector for BigQuery, and voila: automated content updates for G Suite blog 6 standout serverless sessions at Google Cloud Next ‘19 blog 9 mustn’t-miss machine learning sessions at Next ‘19 blog Don’t miss these must-see G Suite sessions at Google Cloud Next ‘19 blog Next On Air live show Interview StackRox site StackRox Overview site StackRox Data Sheet data sheet Kubernetes site GKE site Google Container Registry site Google Cloud Security Command Center site Go site Istio site Kubernetes Documentation site Kubernetes Blog blog Kubernetes Blog: A Guide to Kubernetes Admission Controllers blog CNCF site CNCF Webinar: Operationalizing Kubernetes Security Best Practices video BSidesSF 2019 Talk: “Containers: Your Ally in Improving Security” video Nine Kubernetes Security Best Practices Everyone Should Follow site Top 5 Kubernetes RBAC Mistakes to Avoid white paper Question of the week How do I migrate my traditional data warehouse platform to BigQuery? Migrating your traditional data warehouse platform to BigQuery: announcing the data warehouse migration offer Warehouse Migration Where can you find us next? Mark will be at Cloud NEXT, ECGC, and IO. Gabi will be at Cloud NEXT and PyTexas StackRox will be at Cloud NEXT, KubeCon, FS-ISAC, DockerCon, Red Hat Summit, and Black Hat.

Today on the podcast, we speak with Ian Buck and Kari Briski of NVIDIA about new updates and achievements in deep learning. Ian begins by telling hosts Jon and Mark about his first project at NVIDIA, CUDA, and how it has helped expand and pave the way for future projects in super computing, AI, and gaming. CUDA is used extensively in computer vision, speech and audio applications, and machine comprehension, Kari elaborates. NVIDIA recently announced their new Tensor Cores, which maximize their GPUs and make it easier for users to achieve peak performance. Working with the Tensor Cores, TensorFlow AMP is an acceleration into the TensorFlow Framework. It automatically makes the right choices for neural networks and maximizes performance, while still maintaining accuracy, with only a two line change in Tensor Flow script. Just last year, NVIDIA announced their T4 GPU with Google Cloud Platform. This product is designed for inferences, the other side of AI. Because AI is becoming so advanced, complicated, and fast, the GPUs on the inference side have to be able to handle the workload and produce inferences just as quickly. T4 and Google Cloud accomplish this together. Along with T4, NVIDIA has introduced TensorRT, a software framework for AI inference that’s integrated into TensorFlow. Ian Buck Ian Buck is general manager and vice president of Accelerated Computing at NVIDIA. He is responsible for the company’s worldwide datacenter business, including server GPUs and the enabling NVIDIA computing software for AI and HPC used by millions of developers, researchers and scientists. Buck joined NVIDIA in 2004 after completing his PhD in computer science from Stanford University, where he was development lead for Brook, the forerunner to generalized computing on GPUs. He is also the creator of CUDA, which has become the world’s leading platform for accelerated parallel computing. Buck has testified before the U.S. Congress on artificial intelligence and has advised the White House on the topic. Buck also received a BSE degree in computer science from Princeton University. Kari Briski Kari Briski is a Senior Director of Accelerated Computing Software Product Management at NVIDIA. Her talents and interests include Deep Learning, Accelerated Computing, Design Thinking, and supporting women in technology. Kari is also a huge Steelers fan. Cool things of the week Kubernetes 1.14: Production-level support for Windows Nodes, Kubectl Updates, Persistent Local Volumes GA blog Stadia blog How Google Cloud helped Multiplay power a record-breaking Apex Legends launch blog Massive Entertainment hosts Tom Clancy’s The Division 2 on Google Cloud Platform blog Interview NVIDIA site NVIDIA Catalog site CUDA site Tensor Cores site TensorFlow sote Automatic Mixed Precision for Deep Learning site Automatic Mixed Precision for NVIDIA Tensor Core Architecture in TensorFlow blog TensorFlow 2.0 on NVIDIA GPU video NVIDIA Volta site NVIDIA T4 site WaveNet blog BERT blog Compute Engine site T4 on GCP site Webinar On Demand: Accelerate Your AI Models with Automatic Mixed-Precision Training in PyTorch site PyTorch site NVIDIA TensorRT site TensorRT 5.1 site Kubernetes site Rapids site NVIDIA GTC site Deep Learning Institute site KubeFlow Pipeline Docs site KubeFlow Pipelines on GitHub site NVIDIA RTX site Question of the week Where can we learn more about Stadia? general info developer access Where can you find us next? Mark will be at Cloud NEXT, ECGC, and IO. Jon may be going to Unite Shanghai and will definitely be at Cloud NEXT, ECGC, and IO. NVIDIA will be at Cloud NEXT and KubeCon, as well as International Conference on Machine Learning, The International Conference on Learning Representations, and CVPR

World Pi Day is behind us, but our guest today, Emma Iwao, joins hosts Gabi and Mark to teach us all about pi. Pi is the constant of the ratio of a circle’s circumference to its diameter. Anytime you see a circle on a computer, pi has been used. It’s vital for everything from gaming to calculating rocket trajectories! Emma crushed the world record for calculating digits of pi using Google Cloud over four months! Listen in to hear more about how she did it! Emma Haruka Iwao Emma is a developer advocate for Google Cloud Platform, focusing on application developers’ experience and high performance computing. She has been a C++ developer for 15 years and worked on embedded systems and the Chromium Project. Emma is passionate about learning and explaining the most fundamental technologies such as operating systems, distributed systems, and internet protocols. Besides software engineering, she likes games, traveling, and eating delicious food. Cool things of the week The Next OnAir site is live today and provides many of the details viewers could be looking for ahead of the event site Get Google Cloud Certified at Next ‘19: What you need to know blog Game Playing on Google Maps (see more at GDC) blog Your mission, gumshoe: Catch Carmen San Diego in Google Earth blog Interview Y-cruncher site Join the pi-31415926535897 Google Group group Fetching pi digits site Pi digit snapshots site Question of the week How do I track what is happening to my containers? Who has access to them, changes, etc? Where can you find us next? Mark will be at GDC, Cloud NEXT, ECGC, and IO. Gabi will be at Cloud NEXT, PyTexas 2019, and she will be conducting a Cloud on Air Webinar on Migrating to Cloud SQL