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Google Cloud Platform Podcast

Google Cloud Platform Podcast

Author: Google Cloud Platform

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The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to Big Query.
159 Episodes
End of Year Wrap-up
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.Cool things of the weekKubernetes and GKE for developers: a year of Cloud Console blogReducing gender bias in Google Translate blogCloud Security Command Center is now in beta and ready to use blogMain contentPodcast accomplishments!We have awesome new intro and outro music, new website, new YouTube videos!We hit 1 million and then 2 million downloads!Mark and the podcast are celebrating their three year anniversary!Top 10 most downloaded episodes of all time!GCP Podcast Episode 111: Google Cloud Platform with Sam Ramji podcastGCP Podcast Episode 112: with Mike Fotinakis podcastGCP Podcast Episode 146: Google AI with Jeff Dean podcastGCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcastGCP Podcast Episode 128: Decision Intelligence with Cassie Kozyrkov podcastGCP Podcast Episode 113: Open Source TensorFlow with Yifei Feng podcastGCP Podcast Episode 88: Kubernetes 1.7 with Tim Hockin podcastGCP Podcast Episode 108: Launchpad Studio with Malika Cantor and Peter Norvig podcastGCP Podcast Episode 130: Data Science with Juliet Hougland and Michelle Casbon podcastGCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcastTop 10 most downloaded episodes for 2018!Exact same list except Tim Hockin is not #7. Following episodes go up a number and we added to #10 spot.GCP Podcast Episode 122: Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcastMark’s favorite episodesGCP Podcast Episode 129: Developer Relations with Mandy Waite podcastGCP Podcast Episode 121: Kontributing to Kubernetes with Paris Pittman and Garrett Rodrigues podcastGCP Podcast Episode 131: Actions on Google with Mandy Chan podcastGCP Podcast Episode 148: Wellio with Sivan Aldor-Noiman and Erik Andrejko podcastGCP Podcast Episode 110: CPU Vulnerability with Matt Linton and Paul Turner podcastGCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcastGCP Podcast Episode 140: Container Security with Maya Kaczorowski podcastMelanie’s favorite episodesGCP Podcast Episode 117: Cloud AI Fei-Fei Li was the Chief Scientist of AI/ML at Google podcastGCP Podcast Episode 114: ML Bias & Fairness with Timnit Gebru and Margaret Mitchell podcastGCP Podcast Episode 141: Accessibility in Tech podcastGCP Podcast Episode 136: Robotics with Raia podcastGCP Podcast Episode 150: Strange Loop, Remote Working, and Distributed Systems with KF podcastDL IndabaGCP Podcast Episode 147: DL Indaba: AI Investments in Africa podcastGCP Podcast Episode 149: Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala podcastGCP Podcast Episode 152: AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike podcastGCP Podcast Episode 157: NeurIPS and AI Research with Anima Anandkumar podcastFavorite announcements, products, and more at Google CloudUnity and Google Cloud Strategic Alliance blogOpen Match blogCloud TPU siteGoogle Dataset Search is in beta siteNo tricks, just treats: Globally scaling the Halloween multiplayer Doodle with Open Match on Google Cloud blogGKE On-Prem siteOpen Source - Knative release, Skaffold, Istio updates, gVisor, etc.Google in Ghana blogCloud NEXT blogGCP Podcast Episode 137: Next Day 1 podcastGCP Podcast Episode 138: Next Day 2 podcastGCP Podcast Episode 139: Next Day 3 podcastUnity and DeepMind partner to advance AI research blogIntroducing PyTorch across Google Cloud blogQuestion of the weekWhat were your personal highlights for 2018?MarkAgonesIntroducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog githubThe new websiteHaving Melanie join me on the podcastMelanieBringing Francesc backMeeting GraceGCP Podcast Episode 142: Agones With Mark Mandel and Cyril Tovena podcastWhere can you find us next?It’s the holidays!Special thanks!Thank you guestsThank you JenniferThank you HD Interactive: James, Trae, Sabrina, and SeanThank you GregThank you Neil, Chuck, and ShanaThank you MBooth for the website overhaul and social media supportThank you FrancescThank you listeners!

End of Year Wrap-up


VP of Engineering - Melody Meckfessel
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.Melody MeckfesselMelody 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.Cool things of the weekMark is back from vacation!We are at 2 million downloads! tweetGreg Wilson twitter and githubOpen source gaming:Agones - 0.6.0 - siteOpen Match - 0.2.0 RC - siteWhat’s new at Firebase Summit 2018 blogInterviewGCP Podcast Episode 137: Next Day 1 podcastStackdriver siteGitLab siteGoogle SRE siteBorg siteCloud Spanner siteGo siteGKE On-Prem siteSkaffold siteMinikube siteDORA siteCloud Build siteBazel siteQuestion of the weekIf I want to configure third party notifications (such as Slack or Github) into my Cloud Build configuration - how can I do that?Sending build notificationsConfiguring notifications for third-party servicesWhere can you find us next?Mark will be at KubeCon next week.Melanie will be at NeurIPS this week. She’ll be attending Queer in AI, Black in AI, and LatinX this week as well.
NeurIPS and AI Research with Anima Anandkumar
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.Anima AnandkumarAnimashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization.Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum’s Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on.Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.Cool things of the weekTaking charge of your data: using Cloud DLP to de-identify and obfuscate sensitive information blogUnlocking what’s possible with medical imaging data in the cloud blogGoogle makes dataset of 50 million drawings available on its cloud blogMachine learning on machines: building a model to evaluate CPU performance blogInterviewAnima at TensorLab siteNeurIPS sitePetition siteName Change (results of the poll) letterJohns Hopkins University letter letterAI Researchers Fight Over Four Letters articleFrom the Board: Changing our Acronym letterTensorFlow siteNVIDIA siteQuestion of the weekWhat are some actions I can take if I’m being trolled, harassed and/or bullied online or I want to be proactive about my safety?If you are experiencing harassment, tell someone who can support you, document it, and assess escalating to authorities depending on the severity.Surveillence Self-DefensePreventing DoxxingWhere can you find us next?Mark will be at KubeCon in December.Melanie will be at SOCML this week and NeurIPS next week. She’ll be attending WIML, Black in AI, and LatinX.
Grace Health with Therese Mannheimer and Roman Jasins
Happy Thanksgiving! On this episode, Mark and Melanie learn about with co-founders Therese Mannheimer and Roman Jasins.’s goal is to give women control of information about their own bodies, allowing them to make informed healthcare decisions. 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.’s goal is to educate people to help limit these superstitions and allow women to live fuller lives. With, women know when their periods are coming or when the are ovulating so they can make the proper plans.In the longterm, 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.Therese MannheimerTherese, one of the founders of, is an experienced business developer and product person who believes that the best way to solve problems is to put relevant solutions into the hands of people. She is also co-founder of the Allbright Foundation that works with driving opinion around meritocracy.Roman JasinsRoman is CTO and co-founder of things of the weekBuilding IoT Applications on Google Cloud videoGetting started with Kubeflow Pipelines blogSubatomic particles and big data: Google joins CERN openlab blogGCP Podcast Episode 145: ATLAS with Dr. Mario Lassnig podcastIstio Routing Basics siteInterviewGrace Health siteGoogle Cloud Startup siteDialogflow siteFEM International siteUN siteDoctors Without Borders siteThe Hunger Project siteQuestion of the weekWith background cloud functions - how can I set them up to retry on failure?Background functionsRetrying Background FunctionsWhere can you find us next?Mark and will be at KubeCon in December.Melanie will be at SOCML in November and Black in AI and LatinX in December.
Confluent and Kafka with Viktor Gamov
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.Viktor GamovViktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka.Working in the field, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable, and highly available distributed systems.Back in his consultancy days, he co-authored O’Reilly’s «Enterprise Web Development».He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is a regular at events, including JavaOne, Devoxx, OSCON, QCon, and others. He blogs and produces the podcasts Razbor Poletov (in Russian) and co-hosts Viktor on Twitter, where he posts about gym life, food, open source, and, of course, Kafka and Confluent!Cool things of the weekKubeflow published a leadership guide to inclusivity sitePicture what the cloud can do: How the New York Times is using Google Cloud to find untold stories in millions of archived photos blogClick-to-deploy on Kubeflow siteContainerd available for beta testing in Google Kubernetes Engine blogIntroducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses blogAnnouncing Cloud Scheduler: a modern, managed cron service for automated batch jobs blogInterviewKafka siteKafka Connect siteKafka Streams siteKSQL siteConfluent siteConfluent Hub siteConfluent Schema Registry siteConfluent Cloud on Google Cloud Marketplace siteConfluent Enterprise siteConfluent Cloud siteConfluent on Github siteConfluent Blog blogHow to choose the number of topics/partitions in a Kafka cluster? blogPublishing with Apache Kafka at The New York Times blogGoogle Cloud Platform and Confluent partner to deliver a managed Apache Kafka service blogViktor’s Presentations siteConfluent Community siteQuestion of the weekIf I wanted to submit a CFP for Next 2019, how would I do it?Where can you find us next?Mark and Michelle will be at KubeCon in December.Michelle will be at Scale by the Bay on Friday. She’ll also be at YOW! Sydney, Brisbane, & Melbourne in Nov & December.
G Suite with Joanna Smith and Alicia Williams
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.Joanna SmithJoanna is a Developer Advocate for G Suite, working to make sure that anyone can extend G Suite with clever solutions to make Google work for them.Alicia WilliamsAlicia is an advocate for Google Cloud, trying to help data analysts solve problems. She uses machine learning, SQL, and visualizations to help solve problems and tell stories.Cool things of the weekA dataset of congressional bills and built a text classification model with AutoML Natural Language by Sara Robinson tweet and blogServerless from the ground up: Connecting Cloud Functions with a database (Part 3) blogHow 20th Century Fox uses ML to predict a movie audience blogKick off developer projects with improved G Suite Developer Hub blogThis multiplayer game integrates Open Match, a highly-scalable, open source matchmaking framework from Google Cloud, Unity tweet, and Google DoodleHappy Anniversary, Melanie!InterviewG Suite siteGoogle Sheets siteG Suite on Google Plus siteG Suite Marketplace siteG Suite on Github siteG Suite APIs siteG Suite App Maker siteBuilding IoT Applications on Google Cloud videoFirestore Google Apps Script Library siteBuild on G Suite siteAdvanced Services Documentation siteBigQuery siteNew Google Sheets enterprise data integrations with BigQuery and SAP blogAnalyze big data within Google Sheets siteAnalyzing text in a Google Sheet using Cloud Natural Language API and Apps Script blogEntity sentiment analysis on text data in a Google sheet using Cloud Natural Language Github siteQuestion of the weekWhat if I want to write a code sample with a link that opens the Cloud Console and automatically clones a Git repository into Cloud Shell?Where can you find us next?Alicia will be at DevFest.Mark will be at KubeCon in December.Melanie will be at SOCML this month.

Bazel with Tony Aiuto


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.Karim BeguirKarim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France’s Ecole Polytechnique and former Program Fellow at NYU’s Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience.Muthoni WanyoikeMuthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking.Cool things of the weekIs there life on other planets? Google Cloud is working with NASA’s Frontier Development Lab to find out blogIn this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. siteA new course to teach people about fairness in ML blogServerless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blogSuperposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and videoInterviewInstadeep siteNairobi Women in Machine Learning and Data Science siteNeural Information Processing Systems siteGoogle Launchpad Accelerator siteTensorFlow siteGoogle Assistant siteCloud AutoML siteHackathon Lagos siteDeep Learning Book bookRanked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paperLessons learned on building a tech community blogKenya Open Data Initiative siteR for Data Science GitHub site and bookTWIML Presents Deep Learning Indaba siteQuestion of the weekIf I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that?GCloud container clusters create siteSpecifying cluster version siteWhere can you find us next?Our guests will be at Indaba 2019 in Kenya.Mark will be at KubeCon in December.Melanie will be at SOCML in November.
Java & Jib with Patrick Flynn and Mike Eltsufin
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.Patrick FlynnPatrick Flynn is a long time Java developer who spent many years in Google Ads, and is now four years into being the tech lead of the Google Cloud Java Tools team.Mike EltsufinMike Eltsufin has been an enterprise Java application developer in the banking sector for over a decade before joining Google. Currently, he’s the tech lead of the Cloud Java Frameworks team, focusing on bringing the goodness of Spring Boot to Google Cloud Java developers.Cool things of the weekIntroducing container-native load balancing on Google Kubernetes Engine blogSimplifying cloud networking for enterprises: announcing Cloud NAT and more blogStore it, analyze it, back it up: Cloud Storage updates bring new replication options blogPostmortems and Retrospectives with Liz and Seth videoGCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcastInterviewApp Engine siteKubernetes Engine siteSpring Framework siteSpring Boot siteSpring Cloud GCP siteSpring Cloud GCP on GitHub siteCloud Pub/Sub siteSpanner siteCloud Sql siteCloud Datastore siteDocker siteJib on GitHub siteCloud Tools for IntelliJ Documentation siteIntroducing Jib — build Java Docker images better blogBazel siteSkaffold on GitHub siteNetty siteSpringOne siteKnative and riff for Spring Developers videoJib Gitter siteSig Apps siteKubernetes Slack siteCodelabs siteQuestion of the weekWhat if we have an object in Google Cloud Storage, and I want to automatically change an aspect of it – such as:Downgrade the storage class of objects older than 365 days to Coldline Storage.Delete objects created before January 1, 2013.Keep only the 3 most recent versions of each object in a bucket with versioning enabled.Managing Object Lifecycles docs and guideWhere can you find us next?Patrick’s team will be at KubeCon Shanghai and Oracle Code One and he will be at KubeCon SeattleMark will be at KubeCon in December.Melanie will be at Twilio Signal $BASH event on Thursday and SOCML in November.
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.Katherine FellowsKF is a senior engineer focusing on backend, infrastructure, and data engineering. She has worked remotely for companies at all stages of growth in San Francisco, New York City, Portland, and Philadelphia. Most recently, she’s been a Senior Software Engineer at Turbine Labs, developing tools that leverage a service mesh to make collaboration more effective for engineering teams. KF currently lives with her cat in Portland, OR.Cool things of the weekIntroducing PyTorch across Google Cloud blogIs that a device driver, golf driver, or taxi driver? Building custom translation models with AutoML Translate blogA developer onramp to Kubernetes with GKE blogNetwork controls in GCP vs. on-premises: Not so different after all blogInterviewStrange Loop siteKubernetes siteDocker siteSRE siteGCP Podcast Episode 102: Smart Parking and IoT Core with Brian Granatir podcastQuestion of the weekHow do I encrypt and decrypt data with Cloud KMS?Symetric and AsymetricWhere can you find us next?Mark will definitely be at Kubecon in December.Mark streams on Twitch streaming.Melanie will be at CAMLIS.Get in touch!WebsiteEmail us!Ask us a questionRedditGoogle PlusTwitter
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