Google Cloud Platform Podcast

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!

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 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.

• 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

• 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

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

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.

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.

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 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 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.

• 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

• 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

Where can we learn more about Stadia?

• general info
• developer access

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

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.

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 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.

• 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

• Y-cruncher site
• Join the pi-31415926535897 Google Group group
• Fetching pi digits site
• Pi digit snapshots site

How do I track what is happening to my containers? Who has access to them, changes, etc?

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

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!

Jon Foust is back with Mark this week as we talk about SAP HANA, a data and application platform. Lucia Subatin and Kevin Nelson elaborate, explaining that SAP HANA is engineered for running SAP business applications. It is capable of handling large transactions very quickly and with great flexibility. With HANA, you don't move data around, so you can run transaction workloads, as well as analytics, etc. in the same platform.

By teaming up with GCP, SAP HANA ensures that their enterprise users will have scalability and storage no matter how their businesses grow. GCP and SAP HANA developers have been working together to continue to make the products better.

Lucia, Developer Advocate for SAP, is a proud geek. Her mission is to bring developers closer to SAP HANA and optimal enterprise solutions. Her contribution towards the community is based on enabling content and facilitating adoption by exploring and sharing more and better ways to capitalize the power of the platform.

Kevin is a Google Cloud Developer Advocate focused on enterprise strategic partners. In his free time, Kevin is an avid sailor, brewer, and history buff who loves stargazing and studying the Age of Exploration.

• Take your mobile games business to the next level with Google AdMob and Google Ads at GDC blog
• Gaming developer hub site
• Go global with Cloud Bigtable blog
• Announcing Knative v0.4 Release article
• Build with Classroom G Suite blog

• SAP site
• SAP HANA site
• SAP S/4HANA site
• SAP C/4HANA site
• BigQuery site
• Cloud Foundry site
• SAP HANA Express site
• Compute Engine site
• GCP Marketplace site
• Kubernetes site
• Ubuntu site
• Elephants, Rhinos, and People site
• Request an SAP CodeJam site
• Information for Developers site
• SAP TechEd site

If I want to programmatically search for links to an image that I have, how can I do that?

• Web detection tutorial
• Detecting Web Entities and Pages

Mark will be at GDC, Cloud NEXT, and ECGC in April.

Jon will be at GDC, Cloud NEXT, ECGC, and Vector Conf 2019.

Our guests will be at SAP CodeJam Venice, CA March 7, 2019, SAP CodeJam Mannheim, Germany March 18, 2019 and at Cloud NEXT.

Jon Foust is back with Mark this week as we talk about SAP HANA, a data and application platform. Lucia Subatin and Kevin Nelson elaborate, explaining that SAP HANA is engineered for running SAP business applications. It is capable of handling large transactions very quickly and with great flexibility. With HANA, you don’t move data around, so you can run transaction workloads, as well as analytics, etc. in the same platform.

By teaming up with GCP, SAP HANA ensures that their enterprise users will have scalability and storage no matter how their businesses grow. GCP and SAP HANA developers have been working together to continue to make the products better.

Mark and Brian Dorsey spend today talking Python with Dustin Ingram. Python is an interpreted, dynamically typed language, which encourages very readable code. Python is popular for web applications, data science, and much more! Python works great on Google Cloud, especially with App Engine, Compute Engine, and Cloud Functions. To learn more about best (and worst) use cases, listen in!

Dustin Ingram is a Developer Advocate at Google, focused on supporting the Python community on Google Cloud. He's also a member of the Python Packaging Authority, maintainer of PyPI, and organizer for the PyTexas conference.

• Machine learning can boost the value of wind energy blog
• Compute Engine Guest Attributes site
• Colopl open sourced a Cloud Spanner driver for Laravel framework site
• Running Redis on GCP: four deployment scenarios blog

• GCP Podcast Episode 3: Kubernetes and Google Container Engine podcast
• Python site
• Extending Python with C or C++ docs
• PyPy site
• PyPI site
• App Engine site
• Compute Engine site
• Cloud Functions site
• Ubuntu site
• Flask site
• Flask documentation docs
• Docker site
• Python documentation docs
• PyCon site
• PyCaribbean site

How can I manipulate images with Cloud Functions?

Mark will be at GDC, Cloud NEXT, and ECGC in April.

Dustin will be at Cloud Next and PyCon.

Brian will be lecturing at Cloud Next: 'Where should I run my code?'