Today on the podcast, we’re speaking with Chris Aniszczyk about the Linux Foundation and the important work they do to further the advancement of technology through open source initiatives. Mark and Mark are your hosts this week, and they begin by speaking with Chris about what the Linux Foundation is and how it’s unique.
The Linux Foundation, while seeking to support open source projects, sets itself apart by also providing professional services such as marketing, technical writing, legal help, and running events. It acts as a parent foundation for smaller open source foundations like Cloud Native Computing Foundation, Node.js Foundation, and the Automotive Linux Foundation, which strives to bring open source to the automotive industry.
Though typically companies can be leery of working with competitors, The Linux Foundation has been successful bringing companies together to create useful software that benefits everyone. Collaboration can be easier when done through the foundation. Chris also actively reaches out to companies in industries that don’t typically engage in open source practices and encourages them to consider working together to make their industry better. Specifically, Chris works with companies within CNCF and the Open Container Initiative.
Michelle and Mark are together again this week to talk with John Bohannon about AI startup, Primer. His goal is to build systems that continuously read documents and write about what they discover. He discusses his recent work building a self-updating knowledge base and the research his team just published.
Perhaps most interesting is the circuitous path he took to get to Primer. Hear about his adventures along the way to becoming a data scientist specializing in natural language processing. How does a microbiologist who developed a pregnancy test for fish get distracted by Python? What does contemporary dance have to do with establishing AI policy? Join us as he weaves a common thread along his career path: encountering interesting problems and discovering creative ways to solve them.
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.
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.
Professional Services with Ann Wallace and Michael Wallman
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!
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.
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!
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.
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.
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!
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!
Node.js is our topic this week as Mark and first-time host, Jon Foust, pick the brain of Myles Borins. Myles updates us on all the new things happening with Node.js, including the new .dev site that holds a ton of documentation to help people get started. Node.js now integrates with Cloud Build, the Node.js foundation has some new developments, and Google App Engine supports Node.js. The group has also been working on serverless containers.
We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer.
Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects.
Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces.
Today, Mohamed El-Geish joins us to talk about the voice AI technology powering Voicea. Gabi is back on the host bench with Mark as we learn how Voicea can improve productivity. EVA, the voice assistant, will record important information for you so you can focus on your meeting and will create tasks lists to help you stay organized. Voicea integrates well with multiple platforms to help accomplish your goals as well. You can send messages to Slack, add tasks to your Basecamp list, and more.
Mohamed explains the process of building Voicea and how machine learning techniques and user feedback have helped make it such a useful tool. Now, Voicea is working to incorporate video, allowing users to play back things like important meeting slides.
Go Cloud Functions with Stewart Reichling and Tyler Bui-Palsulich
First-time host, Aja, joins Mark today to talk Go Cloud Functions with two Google colleagues! Stewart, lead Product Manager on Google Cloud Functions, and Tyler, Developer Programs Engineer at Google, start the show by explaining the purpose of Cloud Functions. It is a severless compute product that supports many programming languages, scales automatically, and only charges for what you use. It works best as event-driven computing, in other words, when something happens, you want something else to happen in response. Cloud Functions also works well between clouds or even Google Cloud services, acting as the glue between them.
Go Cloud Functions works specifically for Go. Google makes a huge effort to make Cloud Functions easy to use for all developers, so that no matter what language you’re familiar with, Cloud Functions works for you.
We’re back! This week, Mark welcomes Gabi as his new co-host! Listen in as they discuss Knative with Mark Chmarny and Ville Aikas.
So what is Knative? Mark and Ville explain that Knative is basically a way to simplify Kubernetes for developers. This way, developers can focus on writing good code without worrying about all the aspects of Kubernetes, such as deploying and autoscaling. Knative helps with these functions automatically. Knative also supports many languages which allows developers to bring their own stack. The day-to-day of developing doesn’t change, which is the beautiful thing about Knative!
Knative is open source and easy to deploy. Developers can find installation guides online for any Kubernetes certified instance of service. A link to the installation guide for Knative on GKE is in our show notes.
Happy Holidays, everyone! Melanie and Mark wrap up a great year by reminiscing about some of their favorite episodes! We also talk about the big news of the year, our favorite articles, and what’s coming up for the GCP Podcast in 2019.
Melanie and Mark talk with Google Cloud’s VP of Engineering, Melody Meckfessel, this week. In her time with Google Cloud, she and her team have worked to uncover what makes developers more productive. The main focus of their work is DevOps, defined by Melody as automation around the developer workflow and culture. In other words, Melody and her team are discovering new ways for developers to interact and how those interactions can encourage their productive peak.
Melody and her team have used their internal research and expanded it to collaborate with Google Cloud partners and open source projects. The sharing of research and products has created even faster innovation as Google learns from these outside projects and vice versa.
In the future, Melody sees amazing engagement with the community and even better experiences with containers on GCP. She is excited to see the Go community growing and evolving as more people use it and give feedback. Melody also speaks about diversity, encouraging everyone to be open-minded and try to build diverse teams to create products that are useful for all.
Melanie is solo this week talking with Anima Anandkumar, a Caltech Bren professor and director of ML research at NVIDIA. We touch on tensors, their use, and how they relate to TensorFlow. Anima also details the work she does with NVIDIA and how they are helping to advance machine learning through hardware and software. Our main discussion centers around AI and machine learning research conferences, specifically the Neural Information Processing Systems conference (commonly referred to as NIPS) and the reason they have rebranded.
NIPS originally started as a small conference at Caltech. As deep learning became more and more popular, it grew exponentially. With the higher attendance and interest, the acronym became center stage. Sexual innuendos and harassing puns surrounded the conference, sparking a call for a name change. At first, conference organizers were reluctant to rebrand and they used recent survey results as a reason to keep NIPS.
Anima discusses her personal experience protesting the acronym, opening up about the hate speech and threats of which she and others received. Despite the harassment, Anima and others continued to protest, petition, and share stories of mistreatment within the community which helped lead to the name/acronym change to NeurIPS. The rebranding hopes to reestablish an inclusive academic community and move the focus back to machine learning research and away from unprofessional attention.
Grace Health with Therese Mannheimer and Roman Jasins
Happy Thanksgiving! On this episode, Mark and Melanie learn about Grace.health with co-founders Therese Mannheimer and Roman Jasins. Grace.health’s goal is to give women control of information about their own bodies, allowing them to make informed healthcare decisions. Grace.health is a female health companion that lets women track and plan their periods, fertility, and ask questions. It is a global undertaking, hoping to reach not just the tech savvy woman, but all women in all markets worldwide.
Stigmas and taboos around the world portray periods as dirty and contagious, preventing women from being able to work, go to school, or even sleep in the house. Grace.health’s goal is to educate people to help limit these superstitions and allow women to live fuller lives. With Grace.health, women know when their periods are coming or when the are ovulating so they can make the proper plans.
In the longterm, Grace.health hopes to be a tool to not only help women identify any health concerns but also find a healthcare professional and get the treatment necessary.
Viktor Gamov is on the podcast today to discuss Confluent and Kafka with Mark and special first-time guest host, Michelle. Viktor spends time with Mark and Melanie explaining how Kafka allows you to stream and process data in real-time, and how Kafka helps Confluent with its advanced streaming capabilities. Confluent Cloud helps connect Confluent and cloud platforms such as Google Cloud so customers don’t have to manage anything - Confluent takes care of it for you!
To wrap up the show, Michelle answers our question of the week about Next 2019.
Joanna Smith and Alicia Williams talk G Suite with Mark and Melanie this week! G Suite is Google’s collection of apps to help make working easier. It includes things like Gmail, Docs, Sheets, Calendar, and more and is designed to be collaborative. It’s customizable, allowing users to adjust the programs to their needs and be more effective – including integrating it with Google Cloud! G Suite has an active community of developers building add-ons to increase functionality as well.
Happy Halloween! On this not-so-spooky episode of the Google Cloud Podcast, Melanie and Mark talk with Tony Aiuto of Bazel. Bazel grew from Google’s internal build system, Blaze, to become the open source Bazel that it is today. The aim of the project is to quickly make very large builds across multiple languages.
AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike
On the podcast today, we have two more fascinating interviews from Melanie’s time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa.
Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills.
Mark and Melanie speak with Patrick Flynn and Mike Eltsufin about their exciting new Java products for Google Cloud. Mike tells us all about the new Spring Cloud GCP, a helpful tool that integrates Google Cloud Platform APIs and the Spring Framework. Patrick elaborates on his team’s new tool, Jib, a Java container image builder, and how it helps Java developers.
Strange Loop, Remote Working, & Distributed Systems with KF
Melanie and Mark celebrate their 150th episode this week with a high-energy interview of mutual friend, KF, at Strange Loop. KF gives her perspective on Strange Loop, working remotely, and distributed systems. She compliments Strange Loop for the diversity it has achieved as the conference has grown. She laments the lack of introductory material for distributed systems learners, saying it’s not as complicated as everyone thinks but needs more educational material for beginners! In general, she believes everyone could benefit from some code study, especially if you can find a good mentor. KF also gives us some great tips for working remotely and staying effective and social.
Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala
Today, Melanie brings you another great interview from her time at Deep Learning Indaba in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that’s going on in the continent.
At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences.
Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be “behind”.
In our last (but not least!) interview from NEXT, Mark and Melanie talked with Sivan Aldor-Noiman and Erik Andrejko about Wellio, an awesome new platform that combines AI and healthy eating. Wellio was developed as a way to not only educate users on the importance of proper nutrition for well-being but to give them their own personal nutritionist.
The data scientists at Wellio started from scratch (pun intended) to create their own food-related database and then began training models so the data could be organized and personalized. Using a combination of human power and machine learning techniques, Wellio learns your preferences, allergies, diets, etc. and will make healthy decisions for you based on these key facts. It chooses recipes, populates a grocery list, and even has the ingredients delivered to your door in time for dinner!
This week we are bringing you a couple of interviews from last week’s Deep Learning Indaba conference. Dr. Vukosi Marivate, Andrea Bohmert and Yasin(i) Musa Ayami talk about the burgeoning machine learning community, research, companies and AI investment landscape in Africa. While Mark is at Google Cloud Next in Tokyo, Melanie is joined by special guest co-hosts Nyalleng Moorosi and Willie Brink.
Vukosi and Yasin(i) share how Deep Learning Indaba is playing an important role to recognize and grow machine learning research and companies on the African continent. We also discuss Yasin(i)’s prototyped app, Tukuka, and how it won the Maathai Award which is given to individuals who are a positive force for change. Tukuka is being built to aid economically disadvantaged women in Zambia get access to financial resources that are currently unavailable. Andrea rounds up the interviews by giving us a VC perspective on the AI start-up landscape in Africa and how that compares to other parts of the world. As Nyalleng says at the end, AI is happening in Africa and has great potential for impact.
Jeff Dean, the lead of Google AI, is on the podcast this week to talk with Melanie and Mark about AI and machine learning research, his upcoming talk at Deep Learning Indaba and his educational pursuit of parallel processing and computer systems was how his career path got him into AI. We covered topics from his team’s work with TPUs and TensorFlow, the impact computer vision and speech recognition is having on AI advancements and how simulations are being used to help advance science in areas like quantum chemistry. We also discussed his passion for the development of AI talent in the content of Africa and the opening of Google AI Ghana. It’s a full episode where we cover a lot of ground. One piece of advice he left us with, “the way to do interesting things is to partner with people who know things you don’t.”
Listen for the end of the podcast where our colleague, Gabe Weiss, helps us answer the question of the week about how to get data from IoT core to display in real time on a web front end.
Our guest today is Dr. Mario Lassnig, a software engineer working on the ATLAS Experiment at CERN! Melanie and Mark put on their physics hats as they learn all about what it takes to manage the petabytes of data involved in such a large research project.
Mercari with Taichi Nakashima and Tonghui (Terry) Li
This week we learn about how Mercari is handling migrating from an on-prem monolithic infrastructure to cloud microservices architecture with GKE. Terry and Taichi share with Melanie and Mark what drove the decision for the change, the challenges and what the team has learned from the transition. The real value for this change has been about making the platform more scalable as they grow to meet the needs of their millions of daily active users. It’s another great interview we captured out of Google NEXT.
What's new in App Engine with Steren Giannini and Stewart Reichling
Mark and Melanie are your hosts again this week as we talk with Steren Giannini and Stewart Reichling discussing what’s new with App Engine. Particularly its new second generation runtime, allowing headless Chrome, and better language support! And automatic scalability to make your life easier, too. App Engine also has an interesting way of inspiring new Google products. Tune in to learn more!
Mark Mandel is in the guest seat today as Melanie and our old pal Francesc interview Cyril Tovena of Ubisoft and Mark about Agones. We discuss dedicated game servers and their importance in game performance, how Agones can make hosting and scaling dedicated game servers easier to manage, and the future of Agones. Cyril and Mark elaborate on Ubisoft’s relationship with Google and how it’s progressing the world of gaming. Listen in!
On this episode of the podcast we continue a conversation we started with Haben Girma, an advocate for equal rights for people with disabilities, regarding the value of tech accessibility. Melanie and Mark talk with her about common challenges and best practices when considering accessibility in technology design and development. Bottom line - we need one solution that works for all.
It’s the third and final day for us at NEXT, and Mark and Melanie are wrapping up with some great interviews! First, we spoke with Stephanie Cueto and Vivian San of Techtonica, a San Francisco non-profit. Next, Liz Fong-Jones and Nikhita Raghunath joined us for a quick discussion about open source and Stackdriver and last but not least, Robert Kubis helped us close things sharing what it means to do DevRel at this event.
Day two of NEXT was another day full of interesting interviews! Melanie and Mark sat down for quick chats with Haben Girma about accessibility in tech and Paresh Kharya to talk about NVIDIA. Next, we touched base with Amruta Gulanikar and Simon Zeltser to learn more about Windows SQL Server and .NET workloads on Google Cloud. The interviews wrap up with Henry Hsu & Isaac Wong of Holberton.
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.
Robotics, Navigation, and Reinforcement Learning with Raia Hadsell
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.
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.
Connected Games with Unity and Google Cloud with Brett Bibby and Micah Baker
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.
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.
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.
Data Science with Juliet Hougland and Michelle Casbon
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.
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.
Open Source at Google Cloud Platform with Sarah Novotny
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.
Post-Quantum Cryptography with Nick Sullivan and Adam Langley
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.
Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf
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.
NVIDIA and Deep Learning Research with Bryan Catanzaro
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.
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.
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.
Solution Architects with Miles Ward and Grace Mollison
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.
Google Play Marketing with Dom Elliott and Stewart Bryson
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.
Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell
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.
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.
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.
CPU Vulnerability Security with Matt Linton and Paul Turner
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.
Cloud AutoML Vision with Amy Unruh and Sara Robinson
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.
Launchpad Studio with Malika Cantor and Peter Norvig
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.
A Year in Review with Francesc Campoy Flores and Greg Wilson
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
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.
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.
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.
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!
Cloud IoT Core with Indranil Chakraborty and Gabe Weiss
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.
Vint Cerf: past, present, and future of the internet
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
Sydney Region with Andrew Walker and Graham Polley
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.
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.
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.
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.
Due to popular demand, this week Francesc and Mark
are joined by Product Manager Varun Talwar and Senior Staff Software Engineer
Sven Mawson to discuss
all things Istio, an open platform to connect, manage, and secure microservices.
Wendy Kan joins your co-hosts
Mark today to talk about Kaggle, their competitions,
and the cool data sets available on their platform.
Kaggle joined the Google family a few months ago, so it’s a great opportunity to know more about
the platform and the amazing community behind it.
If you have ever wanted to play with huge datasets - this is the episode for you! Partner Operations Manager Mike Hamberg
and Program Manager Will Curran join your co-hosts Francesc and Mark
to talk through all the public datasets that Google Cloud Platform hosts for you on BigQuery and Google Compute Storage.
It’s all about open source monitoring this week, as Prometheus Co-Founder Julius Volz,
joins your co-hosts Francesc and Mark to talk all about
Prometheus. Where it came from, why it was built and why you should use it.
Cloud Dataflow and its OSS counterpart Apache Beam are amazing tools for Big Data.
So today your co-hosts Francesc and Mark
interview Frances Perry,
the Tech Lead and PMC for those projects, to join us and tell us more about it.
Yesterday Spinnaker reached its version 1.0,
today Francesc and Mark
talk to Steven Kim and Christopher Sanson about it!
Spinnaker is an open-source multi-cloud continuous delivery platform used in production at companies
like Netflix, Waze, Target, and Cloudera, plus a new open-source command line interface (CLI)
tool called halyard that makes it easy to deploy Spinnaker itself
Basecamp Networks uses Machine Learning to diagnose
easily what kind of sickness or parasite a crop might be suffering.
They’re powered by Google Cloud Platform, and their CEO, Craig Ganssle, is here to tell
Mark and Francesc
all about it.
In this episode Mark and Francesc
have a great interview with Chen Goldberg, the Engineering Director for
Container Engine and Kubernetes at Google - discussing all about why Kubernetes is open source and the
integrations that Google Container Engine has with the wider
Google Cloud Platform.
Have you ever wanted to apply Cloud Vision API to videos?
Well, Sara Robinson is here to tell your co-hosts
Mark and Francesc
about Cloud Video Intelligence API,
which allows you to do that and much more.
This week, Mark and Francesc get a chance to talk
directly to the Director of Customer Reliability Engineering himself, Luke Stone, all about CRE - where it came from,
what it’s goals are, and how it’s been working with some big customers at Google Cloud Platform.
One of our dear Developer Advocates, Yufeng Guo,
joins your co-hosts,
Mark and Francesc,
to talk about the Cloud Machine Learning Engine.
Cloud Machine Learning Engine offers a managed platform for training and serving Tensorflow models.
Digging back into our archive of interviews from Google Cloud Next,
Mark and Francesc talk to Brad Rydzewski,
creator of Drone, about the open source continuous integration and delivery platform. We are also excited to have
the amazing Jessie Frazelle joining us as well!
The CEO and founder of Server Density, David Mytton,
joins the podcast today to tell your co-hosts
Mark and Francesc about
their experience migrating from on-premise MongoDB to Cloud Bigtable.
Server Density provides an open source logging and monitoring solution running on Google Cloud Platform.
This week brings us back to an interview that we did while at Cloud Next last week.
Mark and Francesc talk to
William Bonnell, Senior Director of SRE at
The Home Depot all about SRE culture, and the CRE team as well.
It is the last day of Google Cloud Next 2017
and we got two amazing interviews for you: Titan chips, head of Marketing,
and head of Solution Architects, and more in a single episode!
One more day, Francesc and Mark
are back with a daily episode from Google Cloud Next!
Today we interview some of the many Google Cloud Partners attending the conference.
Following the saga of episodes on programming languages today your co-hosts,
Francesc and Mark,
have the honor to talk to Jon Wayne Parrott,
a Developer Programs Engineer at Google Cloud Platform, about Python on the cloud.
On the heels of the Cloud Spanner
launch, Deepti Srivastava joins your hosts Francesc and Mark
on this week’s podcast to talk all about this globally distributed, horizontally scalable, relational database that also provides global consistency
and ACID transactions!
You might have heard about Improbable teaming up with Google Cloud,
and you might want to know more about it. Well, this episode is for you!
Rob Whitehead, CTO and co-founder of Improbable, joins the podcast to explain to
your co-hosts, Mark and Francesc,
everything there is to know about Improbable, SpatialOS, and their relationship to Google Cloud Platform.
Our beloved teammate Paul Newson is back from his SRE rotation to tell us
about all the lessons that he learned during all these months.
Your co-hosts, Mark and
Francesc, are as always here to ask all
the burning questions.
In this second episode of the year we’ll talk Java!
Ray Tsang and Rajeev Dayal tell your co-hosts Mark and
Francesc everything there is to know about Java on Google Cloud Platform.
You will learn about what you can currently as a Java developer on Google Cloud Platform,
but also what to expect on the future.
Pokémon GO with Edward Wu, Director of Software Engineering at Niantic
We’re back! And we’re bringing a seriously cool interview about Pokémon GO with Edward Wu,
Director of Software Engineering at Niantic.
In this interview your co-hosts Francesc and Mark
chat with Ed about the whole history of Pokémon GO,
from the inception of Niantic to the amazing success and the scaling challenges they faced.
Managed Infrastructure with Pawel Siarkiewicz and Jerzy Foryciarz
Today we learn everything there is to be learnt about Managed Infrastructure from
Pawel Siarkiewicz and Jerzy Foryciarz,
two Product Managers at Google working on the topic.
Your co-hosts Francesc and Mark
are here to help you understand what is Managed Infrastructure and why sometimes it might be
just the right level of abstraction and automation you need.
This week your cohosts Francesc and Mark
travel all the way to sunny Sunnyvale, CA to interview some Google Developer Experts on the amazing things
Google Developer Experts are a very interesting group of highly skilled people with a passion for technology
and spreading their knowledge. We will talk about how they are using the cloud to improve research on cancer.
Sandeep Dinesh, a fellow Developer Advocate for Google Cloud Platform,
joins your cohosts Francesc and Mark
to talk about how Mark and Sandeep built a fun IoT version of Simon Says.
Get ready for some real hacking, involving gRPC, Kubernetes, many programming languages, and even a bit of
Windows and .NET with Chris Sells and Amruta Gulanikar
Today Amruta Gulanikar and Chris Sells,
experts from the Windows and .NET community and part of the Google Cloud team,
join your cohosts Francesc and Mark
to discuss why you should run your Windows and .NET work loads on Google Cloud.
Ines Envid, a Product Manager for Cloud Networking,
joins the podcast today to tell us how mind blowing Google’s network is and how you
can make the best of it!
Let Francesc and Mark
ask all the questions about VPCs, Load Balancers, and Routers you always wanted to
know the answer to.
Cloud Abuse with Swati Kulshreshth and Emeka Okonkwo
Swati Kulshreshth and Emeka Okonkwo join your co-hosts,
Mark and Francesc,
today to give us an overview of what the Google Cloud Abuse team,
how it can impact you, and in what ways it protects everyone: including you!
Today we have the incredible honor to interview John Wilkes,
Principle Engineer at Google and co-author of the Borg paper,
about the history of Borg and how Kubernetes came to be.
And guess what, Mark is very excited!
Francesc is excited too, though.
Russell Smith, cofounder and CTO of
Rainforest QA, joins the podcast to explain
to your dear cohosts Francesc and Mark
how they power their analytics platform with BigQuery,
streaming thousands of rows per second.
Descartes Labs is creating an incredible
living atlas of the world from huge datasets leveraging the power of
Google Cloud Platform and Tim Kelton, one
of the co-founders of Descartes Labs, is here to your cohosts
Francesc Campoy and
Mark Mandel all about it.
Mark is back right on time to interview
Alan Fregtman, a pipeline developer working at
Alan will explain how Google Cloud Platform enables Rodeo FX artist to create amazing visual effects faster.
Rodeo FX is very well known for their work on Game of Thrones, Deadpool, and many others.
I recommend watching this demo video to get an idea of their talent.
Game Of Thrones - Season 6 - VFX Breakdown from Rodeo FX.