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Google Cloud Platform Podcast
40 minutes | 5 days ago
Workflows with Kris Braun and Guillaume Laforge
Brian Dorsey joins Stephanie Wong this week for an in-depth discussion on Workflows. Guests Kris Braun and Guillaume Laforge introduce us to Google Cloud Workflows, explaining that this fully managed serverless product helps connect services in the cloud. By facilitating the creation of an end-to-end schema, Workflows lets developers specify what microservices or other software respond when certain events occur in a detailed, visual format. Kris and Guillaume list the benefits of using Workflows and detail the many uses for this powerful tool. The ability to add detailed descriptors, for example, helps companies avoid errors in calling up other pieces of software. New employees have an easier time getting acquainted when the steps are clearly defined as well. Our guests use real-world examples to illustrate the three main uses for Workflows: event-driven, batch, and infrastructure automation. Workflows are flexible and customizable. Later, we hear about Cloud Composer and its relation to Workflows, and our guests help us understand which product is right for each client type. The Workflows team continues to expand offerings. More connectors are being added to allow developers to call other GCP services. Working with lists will soon be easier, allowing Workflows to run steps in parallel. And Kris details other exciting updates coming soon, including Eventarc. Kris Braun Kris Braun is the Product Manager for three Google Cloud products that connect services to build applications: Workflows, Tasks, and Scheduler. Before Google, Kris’ adventures include founding and growing startups, leading a team of network security researchers investigating threats like Stuxnet, and writing the original BlackBerry simulator for app development. He’s a passionate advocate for opening job opportunities to skilled refugees displaced by war and disaster. Guillaume Laforge Guillaume Laforge is a Developer Advocate for Google Cloud, focusing on serverless technologies. More recently, he dived head first in Workflows, and started presenting the product at online events, wrote articles, tips and tricks, and videos on the topic. Cool things of the week How sweet it is: Using Cloud AI to whip up new treats with Mars Maltesers blog Turbo boost your Compute Engine workloads with new 100 Gbps networking blog Benchmarking higher bandwidth VM instances docs Interview Workflows site Spanner site Cloud SQL site Cloud Composer site Pub/Sub site Cloud Run site Eventarc site Eventarc Documentation docs Workflows Insiders site Quickstarts site How-To Guides site Syntax Reference site Guillaume’s Workflow Tips and Tricks blog A first look at serverless orchestration with Workflows blog Orchestrating the Pic-a-Daily serverless app with Workflows blog Better service orchestration with Workflows blog Get to know Workflows, Google Cloud’s serverless orchestration engine blog 3 common serverless patterns to build with Workflows blog Introduction to serverless orchestration with Workflows codelab Pic-a-Daily Serverless Workshop codelab Pic-a-daily: Lab 6—Orchestration with Workflows codelab What’s something cool you’re working on? Brian is working on use cases around VMs. Stephanie has been writing about database migration.
45 minutes | 12 days ago
Data Governance with Jessi Ashdown and Uri Gilad
Hosts Stephanie Wong and Priyanka Vergadia learn about data governance this week in an interesting chat with Jessi Ashdown and Uri Gilad. While data governance includes security measures, the overarching term also means knowing your data, where it is, and how to use it. In their book, Jessi, Uri, and their co-authors hope to make data governance more accessible by sharing the knowledge Google has developed over twenty plus years. We talk about the challenges companies of all sizes face implementing data governance frameworks and Uri shares a few tips for streamlining the process. Communication and prioritization are important no matter the size of your team. Companies must also understand the sensitivity of the data, how it’s protected and managed, and why it’s collected. Having a thoughtful, thorough understanding of what data gives you the most bang for your buck can help companies prioritize certain data collection, make better decisions, scale efficiently, and save money. When communicating with team members, it’s important to share vital information about the data. Knowing who’s in charge of what data, for example, makes accessing that data faster. With proper communication and thorough prioritization, teams can begin to think about how developing automated tools can increase functional data utilization. Later, we discuss the ways companies can support employees on the data governance journey by clearly communicating the best practice rules. Uri describes how Google uses data governance principles and shares resources Google has published that detail these steps further. Tools like BigQuery and Data Catalog are Google-built products meant to provide companies with more automated data governance solutions. Jessi and Uri wrap up the show with some more best practices in the data governance sphere, like proper metadata to increase the trustworthiness of data. And Uri details the tools Google Cloud has developed to make your data life easier, giving examples of companies putting these tools into practice. Jessi Ashdown Jessi Ashdown is a User Experience Researcher for Google Cloud who conducts user studies with customers from all over the world and uses the findings and feedback from these studies to help inform and shape Google’s data governance products to best serve those users’ needs. Uri Gilad Uri is leading the Data Governance efforts, within the Data Analytics area in Google Cloud. As part of his role, Uri is spearheading a cross-functional effort to create the relevant controls, management tools and workflows that enable a GCP customer to apply Data Governance policies in a unified fashion wherever your data may be in your GCP deployment. Prior to Google, Uri served as an executive in multiple Data Security companies: most recently as the VP of product in MobileIron, a public Zero Trust/Endpoint security platform. Uri was an early employee and a manager in CheckPoint and Forescout - two well known Security brands. Uri holds an M.sc from Tel Aviv University and a B.sc from the Technion, Israel’s Institute of Technology. You can find him on Linkedin. Cool things of the week Batter up! Anthos on bare metal helps MLB gear up for upcoming season blog Introducing Network Connectivity Center: A revolution in simplifying on-prem and cloud networking blog Interview Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness book Goods White Paper doc Dremel White Paper doc BigQuery site Data Catalog site Identity and Access Management site Strata Data Superstream Series event What’s something cool you’re working on? Priyanka has been working on GCP Comics and new GCPSketchnotes. Stephanie is working on an animated series about data centers.
51 minutes | 19 days ago
GKE Cost Optimization with Kaslin Fields and Anthony Bushong
This week on the podcast, fellow Googlers Kaslin Fields and Anthony Bushong chat with hosts Mark Mirchandani and Stephanie Wong about how to optimize your spending with Google Kubernetes Engine. Cost optimization doesn’t necessarily mean lower costs, Kaslin explains. It means running your application the best possible way and accommodating things like traffic spikes while keeping costs as low as possible. As our guests tell us, standard best practices can aid in optimization, but when it comes to efficiently running on a budget, there are more tips and tricks available in GKE. One of GKE’s newest operation modes, Autopilot, means Kuubernetes nodes are now managed by Google. Customers pay by the pod so the focus can be on the application rather than the details of clusters and their optimization. Best practices for resource utilization and autoscaling are included with Autopilot. Kaslin and Anthony break up Google’s GKE cost optimization tips into four categories: multi-tenancy, autoscaling, infrastructure choice, and workload best practices and tell us how company culture effects these decisions. Proper education around Kubernetes and GKE specifically is the first step to using resources the most efficiently, Anthony tells us. Keeping tenants separate and resources well managed on multi-tenant clusters is made easier with Namespaces. Scaling pods and the infrastructure around them is an important part of optimization as well, and Anthony helps us understand the best practices for fine tuning the autoscaling features in GKE. Scaling infrastructure to handle spikes or lulls is an automatic feature with Autopilot, helping projects run smoothly. To control workloads efficiency, GKE now offers a host of features, including horizontal, vertical, and multidimensional pod autoscaling. Later, we walk through the steps for implementing some of these optimizations decisions while keeping your application running. GKE Usage Metering is a useful tool for measuring tenant usage in a cluster so resource distribution can be managed easier. Kaslin Fields Kaslin is a Developer Advocate at Google Cloud where she focuses on Google Kubernetes Engine. Anthony Bushong Anthony is a Specialist Customer Engineer at Google Cloud, where he focuses on Kubernetes. Cool things of the week A2 VMs now GA—the largest GPU cloud instances with NVIDIA A100 GPUs blog How carbon-free is your cloud? New data lets you know blog Our third decade of climate action: Realizing a carbon-free future blog Interview Kubernetes site GKE site Best practices for running cost-optimized Kubernetes applications on GKE docs Docker site Autopilot overview docs Namespaces docs Kubernetes best practices: Organizing with Namespaces blog Optimize cost to performance on Google Kubernetes Engine video Using node auto-provisioning docs Scaling workloads across multiple dimensions in GKE blog Enabling GKE usage metering docs Kubernetes in Google Cloud Qwiklabs site Kubernetes Engine Qwiklabs site Cloud Operations for GKE Qwiklabs site Earn the new Google Kubernetes Engine skill badge for free blog Beyond Your Bill videos Cloud On Air Webinar: Hands-on Lab: Optimizing Your Costs on Google Kubernetes Engine site Cloud OnBoard site Adopting Kubernetes with Spotify video
43 minutes | a month ago
BeyondCorp with Kiran Nair and Ameet Jani
Stephanie Wong joins our old pal Mark Mirchandani this week to chat about BeyondCorp Enterprise and the way enterprise companies are using this security software. Ameet starts the show explaining BeyondCorp’s three pillars of security, including how detailed customer and client knowledge aid in security. Kiran elaborates, stressing the importance of the web browser’s contribution to a secure experience. With BeyondCorp Enterprise offerings, companies can layer additional protections in the cloud, supplementing the often lacking network model and adding better security protections across devices. BeyondCorp offers a simpler implementation structure as well. Things like monitoring can be switched on with a click. We hear about the features of BeyondCorp, including how users help shape the way BeyondCorp protects their projects. Ameet walks us through how a client could add BeyondCorp to their current security infrastructure and the specific benefits of doing so. BeyondCorp Enterprise, an easy off-the-shelf offering, was inspired by Google’s own security measures. With automatic added protections in Chrome, BeyondCorp Enterprise takes the most secure browser in the world and ups the game for enterprise employees working from any device. Kiran describes these additional measures and why they’re important for enterprise users. Ameet and Kiran tell us the steps required to set up the software and the customizations available. Enterprise customers should think through groups of users and what will be allowed by each. On the browser side, the three tiers of security features, including invisible features, can be implemented and changed easily. With the new BeyondCorp Enterprise, enterprise clients are now able to take advantage of the advanced security of the cloud. Through real company examples, Ameet and Kiran share with us the ways this software is already changing the enterprise security game. Kiran Nair Kiran Nair is a product manager on Google Chrome. His focus area is security, and keeping Chrome users safe from web based threats. Besides spending the last 12 years building software and hardware products, Kiran is a certified yoga trainer and enjoys a casual game of tennis in the evening Ameet Jani Ameet is the product manager for BeyondCorp Enterprise. Cool things of the week Introducing #AskGoogleCloud: A community driven YouTube live series blog Cloud On Air: Build the future with Google Kubernetes Engine (GKE) event Google Cloud Born-Digital Summit: Inspiring the next generation of technology leaders blog Interview BeyondCorp site BeyondCorp Enterprise on Google site GCP Podcast Episode 221: BeyondCorp with Robert Sadowski podcast An overview: “A New Approach to Enterprise Security” research paper How Google did it: “Design to Deployment at Google” research paper Google’s frontend infrastructure: “The Access Proxy” research paper Migrating to BeyondCorp: “Maintaining Productivity while Improving Security” research paper The human element: “The User Experience” research paper Secure your endpoints: “Building a Healthy Fleet” research paper Question of the week Can you clearly explain GCP policy resource inheritance? What does it mean when the policy is effectively a union or additive? Resource Manager Understanding hierarchy evaluation Guide to Cloud Billing Resource Organization & Access Management
25 minutes | a month ago
Chromebook's 10th Birthday with Angela Gosz and Courtney Harrison from Intel
Jenny Brown and Mark Mirchandani are back this week to celebrate a special anniversary! This year marks ten years since the launch of the first Chromebooks, and our guests, Angela Gosz and Courtney Harrison, are here to reflect on the past and talk about the future Chrome OS. Chromebooks powered by Intel allow users to get the most out of their endpoints, serving as a secure and stable entrypoint to the Cloud. Our guests describe the main groups of Chromebook users and how the ease of use, portability, and customization benefits each. The Google Admin Console allows more than 500 customizable security features to tailor the experience for employees or end customers, Angela explains. The changes brought on by the pandemic meant more companies had to support a distributed business, and Chromebook with the Admin Console has been able to facilitate this transition easily. With the new ZTE program, Chromebooks can be sent directly to employees, bypassing IT. The computers can be configured through the console without any physical contact. Courtney tells us her experiences with Chromebook at Intel and how the automatic updates, computing speed, and other features have made her job easier. She explains the process of working with Google to develop the hardware needed for Chromebook and how the cloud comes into play for maximum performance. We talk about many of the other Chromebook options offered and what options will be available in the future. Angela Gosz Angela Gosz is a Customer Success Manager on the Chrome Enterprise Team, based out of Google Chicago. With 17 years of experience in the IT Industry, Angela has been on the leading edge of digital transformation implementations, supporting Enterprise organizations and partners to adopt and optimize their endpoint computing strategy - especially in Healthcare. Today she ensures customers realize the full potential of their investment in Chrome OS as a cloud-first endpoint. Outside of work, she has been meditating daily for 5 years, teaches yoga and is a certified Reiki practitioner. Angela holds a Bachelor’s Degree in Journalism from the University of Wisconsin-Madison. Courtney Harrison Courtney is an Account Director with Intel Corporation based in the San Francisco Bay area. Currently Courtney leads a team that supports all of the Intel business interactions with Alphabet and Google. A twenty-one year Intel veteran, Courtney has spent the past fifteen years in field sales working with top multi-national customers and local OEMs. Courtney began her career at Intel in CPU operations. Courtney has both a Bachelor’s and Master’s Degree from Stanford University in Industrial Engineering. Cool things of the week A new podcast explores the unseen world of data centers blog Back by popular demand: Google Cloud products in 4 words or less (2021 edition) blog Save the date for Google Cloud Next ‘21: October 12-14, 2021 blog Interview Intel site Chromebook site Chrome OS site Chromebook turns 10 site Building the future of business computing: 10 years of Chrome OS blog Form Factor Portfolio site Deploy devices with zero-touch enrollment site Thunderbolt site WiFi 6 site CloudReady site MCA site What’s something cool you’re working on? Mark is working on Costs meet code with programmatic budget notifications. Sound Effects Attribution “LeDancing” by Frankum of Freesound.org “Jingle Romantic” by Jay_You of Freesound.org
44 minutes | a month ago
ML Lifecycle with Dale Markowitz and Craig Wiley
Jenny Brown co-hosts with Mark Mirchandani this week for a great conversation about the ML lifecycle with our guests Craig Wiley and Dale Markowitz. Using a real-life example of bus cameras detecting potholes, Dale and Craig walk us through the steps of designing, building, implementing, and improving on a piece of machine learning software. The first step, Craig tells us, is to identify the data collected and determine its viability in an ML model. He describes how to get the best data for your project and how to keep the data, code, and libraries consistent to allow better analysis by your ML models. He talks about the importance of a Feature Store to aid in data consistency. Craig explains how machine learning pipelines like TensorFlow are great tools to improve consistency in the ML environment as well, making it easier to improve your model and even to build new ones using the same data. Keeping this consistency from data scientist analyzation to ML developer to model deployment means a more efficient process and product. Evaluating models after production is an important step in the lifecycle as well to ensure accuracy, validity, and performance of the model. Craig gives us some examples and tips on monitoring models after they’ve been deployed. We talk about the challenges of scaling ML projects and Craig offers advice for developers and companies looking to build ML projects. Dale Markowitz Dale Markowitz is an Applied AI Engineer for ML on Google Cloud. Before that, she was a software engineer in Google Research and an engineer at the online dating site OkCupid. Craig Wiley Craig is the Director of Product for Google Cloud’s AI Platform. Previous to Google, Craig spent nine years at Amazon, as the General Manager of Amazon SageMaker, AWS’ machine learning platform as well as in Amazon’s 3rd Party Seller Business. Craig has a deep belief in democratizing the power of data, he pushes to improve the tooling for experienced users while seeking to simplifying it for the growing set of less experienced users. Outside of work he enjoys spending time with his family, eating delicious meals, and enthusiastically struggling through small home improvement projects. Cool things of the week Introducing GKE Autopilot: a revolution in managed Kubernetes blog At your service! With schedule-based autoscaling, VMs are at the ready blog Interview Google Cloud AI and Machine Learning Products site GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast Using machine learning to improve road maintenance blog Key requirements for an MLOps foundation blog TensorFLow site Kubeflow Pipelines site TensorBoard site How to dub a video with AI video Can AI make a good baking recipe? video Machine learning without code in the browser video What’s something cool you’re working on? Jenny started a new podcast that reads interesting Google blog posts over at Google Cloud Reader. Our friend Dr. Anton Chuvakin started the Cloud Security Podcast by Google. Read more about it and listen here. Follow the show and hosts on Twitter Cloud Security Podcast Anton and Tim And listen to Anton on the GCP Podcast Episode 218: Chronicle Security with Dr. Anton Chuvakin and Ansh Patniak.
41 minutes | 2 months ago
Cloud Spanner Revisited with Dilraj Kaur and Christoph Bussler
Mark Mirchandani and Stephanie Wong are back this week as we learn about all the new things happening with Google Cloud Spanner. Our guests this week, Dilraj Kaur and Christoph Bussler, describe Cloud Spanner as a fully managed relational database that boasts unlimited scaling and advanced consistency and availability. Unlimited scaling truly means unlimited, and Chris explains why Cloud Spanner offers this feature and how it’s making database design and development easier. Dilraj and Chris tell us all about the cool new features Spanner has developed, like generated columns and foreign keys, and how customer needs influenced these developments. Chris walks us through the process of using some of these new features, including how developers can monitor their database systems. Managed backups and multi-region configuration are additional recent additions to Cloud Spanner, and our guests explain how these are used by current enterprise clients. Dilraj and Chris explain the automatically managed features of Spanner versus the customer managed features and how people set up and manage database projects. We hear examples of companies using Cloud Spanner and how it has improved their businesses. Dilraj Kaur Dilraj Kaur is an Enterprise Customer Engineer with specialization in Data Management. She has been with Google for about 2.5 years and is based in Atlanta. Christoph Bussler As a Solutions Architect Chris is focusing on databases, data migration and data integration in enterprise customer settings. See his professional work and background on his website. Cool things of the week New to Google Cloud? Here are a few free trainings to help you get started blog Start your skills challenge today site Service Directory is generally available: Simplify your service inventory blog Interview Google Cloud Spanner site GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast Using the Cloud Spanner Emulator docs Cloud Spanner Ecosystem site Cloud Spanner Qwiklabs site Google Cloud Platform Community On Slack site Creating and managing generated columns docs WITH Clause docs Foreign Keys docs Numeric Data Type docs Information schema docs Overview of introspection tools docs Backup and Restore docs Multi-region configurations docs ShareChat: Building a scalable data-driven social network for non-English speakers globally site Blockchain.com: Streamlining infrastructure for the world’s most dynamic financial market site What is Cloud Spanner? video What’s something cool you’re working on? Mark has been working on budgeting blog posts, including Protect your Google Cloud spending with budgets. Stephanie is working on her data center animation series
33 minutes | 2 months ago
Cloud SQL Insights with Nimesh Bhagat
This week on the podcast, Mark Mirchandani and Gabi Ferrara talk with Nimesh Bhagat about Cloud SQL Insights. This powerful tool enables developers to diagnose database issues for faster, smoother performance. Nimesh tells us the inspiration for Cloud SQL Insight’s development and describes its biggest benefits. One of the important aspects of Insights is the ability for developers to gain an application-centric view by allowing them to tag database queries with SQL comments. These tags are aggregated in Insights and give developers a visual of the database queries. Here, developers can see load patterns and use that information to improve database efficiency. Cloud SQL Insights offers managed database analysis that helps developers understand the past and predict the future. Simplifying the journey of database debugging, Nimesh explains, was the goal of creating Cloud SQL Insights. He takes us through the process of using the software, pointing out the improvements Insights makes over the old way. Cloud SQL Insights only launched in January, but it’s already helping numerous clients with their projects. Nimesh describes these real-world uses, including Major League Baseball experience as part of Insights Early Access Program. Nimesh Bhagat Nimesh is a product manager at Google Cloud, he leads Cloud SQL Insights. He has worked across engineering and product roles, building highly available and high performance enterprise infrastructure used by Fortune 500 companies. His passion lies in combining powerful infrastructure with simple user experience so that every business and developer can build software at scale and velocity. Cool things of the week A new collaboration with Google Cloud blog Don’t fear the authentication: Google Drive edition blog Interview Cloud SQL Insights docs Cloud SQL Documentation docs GCP Podcast Episode 163: Cloud SQL with Amy Krishnamohan podcast Google Cloud Monitoring site Database observability for developers: introducing Cloud SQL Insights blog Introduction to Cloud SQL Insights codelab Boost your query performance troubleshooting skills with Cloud SQL Insights blog Introducing Sqlcommenter: An open source ORM auto-instrumentation library blog Introducing Cloud SQL Insights video Cloud SQL Github site What’s something cool you’re working on? Gabi is working on several things, including Schema Migrations with CI/CD pipelines. She is always available on Twitter and she offers free office hours! Sound Effects Attribution “Small Audience Laugh” by Tim Kahn of Freesound.org
42 minutes | 2 months ago
Google Cloud Game Servers with Mark Mandel
Former GCP Podcast host Mark Mandel is our guest this week. He’s talking Google Cloud Game Servers, Agones, and more with Mark Mirchandani and guest host Stephanie Wong. Mark explains how dedicated game servers work and why gaming has embraced the idea of dedicated servers. Online multiplayer gaming with its need for fast, consistent state sharing among players benefits from dedicated servers and offers cheating mitigation and reduced latency, as well as development flexibility. He tells us a little about the history of the open source project, Agones, and how it has helped Kubernetes run memory-state games efficiently on these dedicated servers. Google Cloud Game Servers work with layers of products to create a seamless multiplayer environment. Mark details this process and how Kubernetes, GKE, and Agones work together with these servers to accomplish this goal at scale. This situation is ideal for developers looking for the customizability and flexibility of a self-controlled system rather than a fully managed lift and shift model. Mark talks about the features of GCGS, including the versioning configuration system that allows you to create multiple configurations, and roll outs that give you control over distribution. We also learn a little about game building best practices and how Mark and his team advise and educate other game developers. Mark Mandel Mark Mandel is a Developer Advocate for the Google Cloud Platform. Hailing from Australia, Mark built his career developing backend web applications which included several widely adopted open source projects, and running an international conference in Melbourne for several years. Since then he has focused on becoming a polyglot developer, building systems in Go, JRuby and Clojure on a variety of infrastructures. In his spare time he plays with his dog, trains martial arts, and reads too much fantasy literature. Cool things of the week Google Cloud Docs Samples docs Limiting public IPs on Google Cloud blog Interview Google Cloud Game Servers site Agones site Agones Prerequisite Knowledge docs Kubernetes site GKE site Online Game Technology, Drawn Badly videos GCP Podcast Episode 142: Agones with Mark Mandel and Cyril Tovena podcast GCP Podcast Episode 202: Supersolid with Kami May podcast Multiplay site Accelbyte site Improbable site Find the right Google Cloud partner site Game Developers Conference site Agones on Slack site Agones on Twitter site Mark Mandel on Twitch site Mark Mandel on YouTube site What’s something cool you’re working on? Stephanie is working on Season of Scale season 5 and a data center animated series that will launch in a few weeks! Sound Effects Attribution “TrumpetBrassFanfare.wav” by ohforheavensake of Freesound.org “8-bit Video Game Sounds.wav” by ProjectsU012 of Freesound.org “music elevator.wav” by Jay_You of Freesound.org
39 minutes | 2 months ago
Botcopy with Dustin Dye and Alex Seegers
Dustin Dye and Alex Seegers of Botcopy are on the show today, chatting with hosts Mark Mirchandani and Priyanka Vergadia. Botcopy uses advanced AI technology along with excellent copy writing to create better chat bots. The software works directly on a company website and doesn’t require a login, allowing chats to stay anonymous. Our guests explain that their chat bots are treated like virtual employees, built and trained to function and speak appropriately for their specific job. Copy writing is an important part of this, as the conversational AI should continue to support the brand being represented and conversations should flow naturally. The bot personalities are developed through written copy and interactions with customers in instances like customer service, lead generation, and even some internal employee management needs. Later, we talk about how Dialogflow and Botcopy work together, including how Botcopy adds important user context to the conversation to facilitate more accurate bot responses. We hear more about Dialogflow CX and how the modular builder makes designing and controlling bot conversations easier. CX has also made managing multiple bots on a single account easier and team collaboration more efficient. The visual builder available in CX offers a better chatbot design experience, especially when multiple teams are working on the same bot. We hear examples of great use-cases for Botcopy, like restaurant menus, clinical trials, and more. Alex and Dustin give developers valuable advice about working with clients to build their bots. Test early and often to build a robust bot capable of handling many situations. It’s important to have an analytics system in place to identify possible improvement areas as well. Dustin Dye Dustin Dye is co-founder and CEO of Botcopy. After developing branded character and dialogue content for the #1 business bots on Messenger and Slack, Dustin launched Botcopy in 2017. Before co-founding Botcopy, Dustin had co-founded Expert Dojo, one of Silicon Beach’s largest startup incubator, serving, mentoring, and securing funding for some of the most exciting businesses coming out of LA. Dustin is a frequent keynote speaker at leading Chatbot conferences in the US and abroad. Alexander Seegers Alexander Seegers is a co-founder and COO of Botcopy and heads up the product team. He holds a Business degree from Northeastern and UX certification from General Assembly. Alex has consulted tech leaders at Fortune 500 companies worldwide, spearheading their forays into conversational AI for multiple use cases at the enterprise level. In addition to big-picture leadership and vision, Alex is adept at numerous coding languages and complex systems architecture. Cool things of the week Introducing WebSockets, HTTP/2 and gRPC bidirectional streams for Cloud Run blog Take the first step toward SRE with Cloud Operations Sandbox blog Interview Botcopy site Botcopy Blog blog Contact Botcopy email Dialogflow site Miro site What’s something cool you’re working on? Priyanka is working on Dialogflow CX episodes for the Deconstructing Chatbots series.
45 minutes | 3 months ago
Intel with Rebecca Weekly
Welcome back to a new year of Google Cloud Platform Podcasts! Mark Mirchandani and Emma Iwao host the first show of 2021 with special guest Rebecca Weekly of Intel. She joins us to talk about the partnership between Google Cloud and Intel. Describing the company’s goals of gathering, storing, managing, and analyzing data in all its forms to unlock the power of technology and information, Rebecca points out how well these align with Google’s own goals and why the partnership is such a natural fit. Rebecca explains the four pillars of the Google-Intel partnership, including the focus on infrastructure and app modernization to elevate the user experience. Through their work with Google, Intel has been able to optimize the move from on prem to cloud for those clients who choose to make the shift, using their thorough client knowledge and Google Cloud expertise to facilitate a smooth transition. Rebecca walks us through the process of crafting this client experience, from choosing products and tools to identifying and solving any bottlenecks and optimizing the configuration using benchmarks. Later, we talk about the value of open source software in both the hardware and software worlds and why Intel believes so strongly in open source projects. Rebecca offers examples of clients successfully using Intel hardware and Google Cloud software, including Climacell and Kinsta. We get the inside scoop on future projects at Intel, like the next generation of scalable Xeon processors, and Rebecca talks about the future of data analyzation and computing. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries. Rebecca Weekly Rebecca leads the team that influences nearly every aspect of our cloud platform solutions across strategic planning, hardware and software enabling, marketing and sales. Together they shape the development, production, and business strategy of Intel’s cloud platforms to ensure differentiation and platforms that enable TAM expansion with enthusiasm, collaboration, and urgency. She drives strategic collaborations with key partners including top cloud service providers, OxMs, ISVs & OSVs to ensure platform requirements meet our customer needs. In her “spare” time, she’s the lead singer of a funk & soul band, Sinister Dexter, was professionally trained in dance (tap, modern, and jazz), and is an experienced choreographer. She has two amazing little boys and loves to run (after them, and on her own). Rebecca graduated from MIT with a degree in Computer Science and Electrical Engineering. Cool things of the week 97 Things Every Cloud Engineer Should Know Book Introducing Google Cloud Workflows video Interview Intel site Google Cloud withe Intel site TensorFlow site Anthos site Intel Select Solutions site PerfKit Benchmarker site Google Cloud Functions site Climacell site Blue Skies Ahead: ClimaCell Delivers Innovative Weather Prediction Solutions doc Kinsta site Benchmarking GCP’s Compute-Optimized VMs (C2) blog Arcules site Descartes Labs site DAOS site Optane site What’s something cool you’re working on? Emma was a guest on GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao. Emma is working on the Ruby 3.0 support and release and deprecation policy. Ruby is now available on Google Cloud Functions! Sound Effects Attribution “Partyhorn” by Milton of Freesound.org “ToiletFlush” by EminYildirim of Freesound.org
36 minutes | 5 months ago
2020 Year End Wrap Up
This week, four of the podcast’s greatest hosts come together to celebrate all of the fun and informative episodes we’ve been privileged to do this year! Join Mark Mirchandani, Jon Foust, Priyanka Vergadia, and Brian Dorsey as we talk about our favorite guests and shows, some cool things that happened this year, and what we’re looking forward to in 2021! Cool things of the week A Giant List of Google Cloud Resources blog Google Cloud 4 Words site Our favorite episodes Jon’s Favorites GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcast Priyanka’s Favorite GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast Mark’s Favorites GCP Podcast Episode 242: NASA and FDL with James Parr and Madhulika Guhathakurta podcast GCP Podcast Episode 217: Cost Optimization with Justin Lerma and Pathik Sharma podcast GCP Podcast Episode 228: Fastly with Tyler McMullen podcast Brian’s Favorites GCP Podcast Episode 223: Voice Coding with Emily Shea and Ryan Hileman podcast GCP Podcast Episode 233: Bare Metal Solution with James Harding and Gurmeet Goindi podcast GCP Podcast Episode 212: Data Management with Amy Krishnamohan podcast Sound Effects Attribution “Bad Beep” by RicherLandTV of Freesound.org “Small Group Laugh 6” by Tim.Kahn of Freesound.org “It’s Always Night in Space” by JamesSilvera of HDInteractive.com “Easy Cheesy” by LoboLoco of FreeMusicArchive.org
40 minutes | 5 months ago
NASA and FDL with James Parr and Madhulika Guhathakurta
Guest host Sara Ford joins our old favorite Mark Mirchandani this week for a special interview with NASA and FDL. Our guests, James Parr and Madhulika Guhathakurta, give us a super cool, in-depth look at how NASA and FDL do what they do. Lika explains the important scientific studies she has worked on during her years at NASA and how she came to understand and appreciate Machine Learning. James introduces us to the Frontier Development Lab, a project collaborated on by private and public companies to leverage AI and Machine Learning in the research of science, exploration, and many other disciplines. From saving Earth from asteroids to conducting research on our sun, James describes the process of solving these solar system sized problems, starting with creating a solid team. Machine Learning is a team sport, he says, and like making a Hollywood film, it takes many people from different backgrounds to find these solutions. The cloud has been integral in facilitating this meeting of the minds and the analyzing of data at FDL. Later, we talk about the process of astronomical research before the current technological age and how techniques have advanced into the 21st century. James tells us the origin story of FDL and how they were tasked with applying Machine Learning to complex problems like planetary defense and space weather. Lika describes space weather and details how it impacts our planet. We talk about the role of data engineers in the team sport of astro-research and how data is collected and analyzed. Lika emphasizes the benefits of building a working system and how the processes can be applied to many other disciplines. James and Lika wrap up the show with a look at what cool things they expect in the future. James Parr James is Director of the Frontier Development Lab, in partnership with NASA ARC and the SETI Institute. FDL has successfully demonstrated that structured interdisciplinary problem solving, sprint methodologies, radical collaboration methods and partnering with leaders in commercial AI, such as Google Cloud, are powerful amplifiers in applying AI to the science and technology goals of space agencies. Madhulika(Lika) Guhathakurta, PhD For the past two decades, Lika has led the development of Heliophysics as an integrated scientific discipline from which fundamental discoveries about our universe provide direct societal benefits. As the Lead for the Living With a Star (LWS) program for 16 years (2001-2016), she made possible the flagship missions (e.g. the Solar Dynamics Observatory, Van Allen Probes, Solar Orbiter Collaboration and Parker Solar Probe) including STEREO that would revolutionize our understanding of how the Sun shapes space weather in the solar system. To accelerate innovation and scientific discovery she created funding mechanisms to shepherd traditional domain scientists out of their comfort zones to create LWS system science known as Targeted Research & Technology program and Focused Science Teams that foster competitive, yet collaborative environments that promote the crosspollination of ideas and technology. To nurture the next generation of leaders in Heliophysics, she created the Jack Eddy Fellowship Program which has become an important channel for the professional growth of promising researchers and has been successful at promoting the careers of many women scientists reaching 50% parity with men. Since 2017, she was the driving force at NASA Headquarters and at NASA Ames behind the growth of Frontier Development Laboratory, both in terms of the breadth of problem areas tackled as well as in the number of agency and industry partners (e.g. Google, Nvidia, Intel, Lockheed Martin, Planet). The types of innovative solutions include virtual telescopes, data fusion, edge computing, and autonomy and this approach will have an enduring imprint on the way science and exploration is carried out by future generations. Cool things of the week Prepare for Google Cloud certification with one free month of new Professional Certificates on Coursera blog GCP Podcast Episode 239: Cloud Learning Services with Nandhini Rangan and Magda Jary podcast NASA’s OSIRIS-REx Spacecraft Collects Significant Amount of Asteroid site Interview NASA site Frontier Development Lab (FDL) site Oort Information site Sound Effects Attribution “Bad Beep” by RicherLandTV of Freesound.org “Small Group Laugh 6” by Tim.Kahn of Freesound.org
41 minutes | 6 months ago
HPC with Senanu Aggor and Ilias Katsardis + Deloitte Cyber Analytics with Eric Dull
Mark and Brian are together this week, hosting our guests Senanu Aggor and Ilias Katsardis as we discuss High Performance Computing with Google. HPC uses powerful computers to solve problems that would otherwise be too large or take too long for standard machines. Innovation and advances in cloud technology have made this resource more accessible, more scalable, and more affordable. Senanu lists some great use cases for HPC, including vehicle manufacturing and the medical field and describes how these markets benefit from the extra power HPC offers. Ilias talks tech and helps us understand the evolution of the Google HPC offering and the architecture most often used with HPC. He explains the benefits of HPC on the cloud over the old way, emphasizing the flexibility of choosing machines based on your code rather than forcing your code onto small machines. Storage of data is flexible, scalable, and secure as well. Diminishing VM to VM latency has been an important advancement in HPC, and Ilias describes how Google has decreased latency. Google Cloud customers are using the HPC offering for all kinds of large computing jobs, and Senanu details some of these real world instances. From Covid vaccine research to disaster evacuation planning, HPC on the cloud is changing the way we process data. Later, Ilias tells our listeners how to get started with their HPC project. Senanu Aggor Senanu Aggor is the Product Marketing Manager for Google Cloud’s High Performance Computing (HPC) solution. Ilias Katsardis Ilias Katsardis is the HPC Solution Lead for the Customer Engineering team (EMEA) at Google. In this role, Ilias brings over 14 years of experience in the cloud computing and high-performance computing industries to promote Google Cloud’s state-of-the-art infrastructure for complex HPC workloads. Previously, he worked as an applications analyst at Cray Inc., where he was a dedicated analyst to the European Centre for Medium-Range Weather Forecasts (ECMWF), and, prior to that, was an HPC application specialist at ClusterVision. Ilias also founded two startups Airwire Networks in 2006 and Performance Hive in 2017. Cool things of the week What’s happening in BigQuery: Time unit partitioning, Table ACLs and more blog BigQuery explained: Blog series blog BigQuery Spotlight videos Cloud Functions vs. Cloud Run video Interview High Performance Computing site GCP Podcast Episode 237: NVIDIA with Bryan Catanzaro podcasdt GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast Compute Engine site Compute Engine Machine Types site Cloud Storage site Cloud Firestore site Google Cloud with Intel site Cloud GPUs site Best practices for running tightly coupled HPC applications on Compute Engine site Super Computing Event site Stackchat at home This week, Max Saltonstall is talking cyber analytics with Eric Dull from Deloitte.
49 minutes | 6 months ago
reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark
This week, your hosts Mark Mirchandani and Priyanka Vergadia are joined by Google Product Marketing Lead for Online Fraud Protection, Kelly Anderson, to talk about reCAPTCHA Enterprise. Kelly’s main focus at Google, reCAPTCHA, is a service that helps online companies determine if a user is a human or an automated system. With an advanced risk analysis engine, Google’s reCAPTCHA system has been defending sites from fraud for more than a decade. We talk about the evolution of reCAPTCHA and learn about the specific attributes of each version. Later, we focus on reCAPTCHA Enterprise which caters this security software to enterprise companies. Like version three, Enterprise boasts detailed risk analysis and actions. Companies can also expect reason codes for high risk scores and the ability to use the risk analysis engine customized to their company. They are able to find bots impersonating users and neutralize them easily. reCAPTCHA Enterprise is easy to use, whether you’re a Google Cloud customer or not. With the handy API, any company can take advantage of this security feature. Kelly leads us through the steps of deploying the API and details instances where this software plays a vital role in the protection of your website across multiple devices. Kelly takes us through the reCAPTCHA Enterprise dashboard and talks about the future as we conclude the show. reCAPTCHA hopes to move beyond behavioral protection to continue to stay ahead of malicious actors online. As Kelly explains, Machine Learning will become more and more important as fraud detection continues to grow and change. Kelly Anderson Kelly Anderson currently leads product marketing for Google Cloud’s online fraud protection business. She devotes most of her time to working on reCAPTCHA Enterprise and Web Risk and is passionate about helping businesses and their customers stay protected from fraud and abuse. Prior to Google, she worked in product marketing for Microsoft in Azure, where she marketed a variety of security products and business continuity products. For more information about Kelly Anderson and her leather jacket, you can follow her on Twitter. Cool things of the week Introducing HTTP/gRPC server streaming for Cloud Run blog Introducing Google Workspace blog Interview reCAPTCHA Enterprise site reCAPTCHA enterprise product demo video Top 10 use cases for reCAPTCHA Enterprise to defend against OWASP Web-Automated Attacks site Google reCAPTCHA Enterprise: Frictionless, Flexible, and Effective Web App Security site Stackchat at home This week, Max Saltonstall is fixing potholes in Memphis with Eric Clark of SpringML. What’s something cool you’re working on? Priyanka has been working on Google Cloud Whiteboard episodes Operations and CDN. She’s been working on new comic strips for zero trust and new GCPSketchnotes as well!
39 minutes | 6 months ago
Cloud Learning Services with Nandhini Rangan and Magda Jary
Jon Foust joins Mark this week as we talk with Nandhini Rangan and Magda Jary about Cloud Learning Services. The Cloud Learning Services team is passionate about helping technical practitioners elevate their careers and transform businesses by building and validating in-demand Google Cloud skills. Nandhini explains that a lack of technical practitioners with skills in the cloud is one of the biggest barriers to entry for companies considering the shift. But with the right knowledge, companies that take full advantage of cloud environments are proven to be more efficient, reach more of their goals, and overall, be more successful. Cloud Learning Services offerings empower technical practitioners and companies to learn new skills, put these skills into practice, and achieve their objectives. Magda tells us that these training courses focus around job roles in the cloud. The cloud has necessitated a shift in the idea of development learning, she tells us, explaining that nowadays, the focus is on job roles, like Data Scientist, and the technological requirements of that job rather than learning one coding language. We talk later about the specific offerings Cloud Learning Services provides. With a focus on hands-on learning, technical practitioners are put into the real Google Cloud environment with Qwiklabs, while videos and lectures accompany the material. Job-specific skill badges and certifications are earned as courses are completed, allowing technical practitioners and employers to better understand what proficiency in each job role looks like. Our guests tell us more about Qwiklabs and how its sandbox environment facilitates better learning without the added cost and commitment of services that they may not be ready to use. When the time for real-world development comes, this hands-on approach means no disconnect between learning and applying. We talk more about the Challenge Labs used to test learning and the skill badges earned on completion. To wrap up, we discuss the future of Cloud Learning Services and how the team stays on top of new technologies and job roles to keep learning materials updated and fun. The team is working on new material for badging and certifying business professionals as well. Resources to check out to learn more about Google Cloud training and certifications: https://cloud.google.com/training https://cloud.google.com/certification Follow a learning path designed to help you prepare for the certification most suited to your role: https://g.co/cloud/getcertified Nandhini Rangan Nandhini Rangan works at Google Cloud Learning and is very passionate about the topic of upskilling, reskilling, and especially for cloud roles that are needed in organizations today, but also defining the roles and jobs of the future. She is based in Canada and works out of Toronto. She started her career as a Software Engineer, went on and got her MBA and then spent many years in operations and strategy including a stint as a management consultant. Learning was always top of mind for her and she decided to make the jump to join a learning organization full time in 2018 with Google Cloud. She launched the Google Cloud Technical Residency program, worked in the Higher Education learning space bringing programs to faculty and students globally, and currently works as a learning portfolio manager helping bring cloud training content closer to its audiences. Magda Jary Magda Jary is responsible for all aspects of Google Cloud Certification and Digital Badges go-to market and her mission is to grow Cloud skill sets. She joined Google in 2008 after graduating with two Masters degrees: Media and Communications at Warsaw School of Economics and International Management at Rotterdam School of Management. Currently based in San Francisco, she has been leading global learning and engagement programs for Google Cloud customers and partners. Magda is a frequent guest speaker at events dedicated to skills development, diversity, and women in tech. She is a certified yoga teacher and has completed a mindfulness teacher certification. She teaches the Search Inside Yourself training at Google, a mindfulness-based emotional intelligence course for leaders. Cool things of the week Announcing Google Cloud Public Sector Summit, a free global digital event: Dec. 8-9 blog 5 tips for more interactive meetings with Q&A and Polls, rolling out to Google Meet blog Add a more accurate sense of place to your applications using these five YouTube tutorials blog GCP Podcast Episode 181: Google Maps Platform with Angela Yu podcast Interview Google Cloud Training site Google Cloud Skill Badges site Qwiklabs site Deploy to Kubernetes in Google Cloud site Professional Machine Learning Engineer Certification site Coursera site Codelabs site TSIA Star Awards site Question of the week I’ve been interested in the Cloud Architect Certification and after listening to the interview, I’ve be inspired to look into taking it. What training material is available for preparing for the exam? Check out the Google Cloud certification, Professional Cloud Architect certification, and the Preparing for the Professional Cloud Architect Examination Qwiklab. What’s something cool you’re working on? Jon finished Game Summit last week and is back to creating Open Match content, specifically on submitting request from games and writing a match function in a language you may be familiar with!
39 minutes | 6 months ago
ASML with Arnaud Hubaux
ML in machinery is our main topic this week as Mark Mirchandani and Brian Dorsey talk with Arnaud Hubaux, development lead for ASML. Our good friend, fellow Googler, and ML specialist Dale Markowitz joins the conversation as well! With a potent combination of physics and Machine Learning, ASML develops machines that build the chips powering our essential devices. These highly refined machines optimize production for each specific customer, detect defects, and make corrections quickly and accurately by harnessing the power of Machine Learning. The machines also effectively train themselves to ensure the intense accuracy required is sustained over time. Arnaud describes the process these machines go through in order to accomplish these goals, including how they build and train their ML models with the help of physics. Arnaud tells us how the machine’s closed ML system works from zero to train the particular job it will do. By taking a minimum spec chip that has already been created, the machine learns the process for creating that chip and continues to improve that process. These machines are not only able to detect problems but can figure out why these issues are occurring, decreasing production downtime. Recently, ASML moved to Google Cloud. We talk about the products they use, why they chose Google Cloud, and their journey to the cloud. Arnaud Hubaux Arnaud Hubaux is development lead for Artificial Intelligence and Machine Learning products at ASML. He works with the world’s biggest chip manufacturers on AI-driven solutions to solve problems like optimizing production yield. As a trailblazer, Arnaud and his team implemented the first ASML AI application development pipeline on Google Cloud. With a PhD on applied constraint solving, Arnaud has deep experience as an architect of software platforms and product lifecycle management. Cool things of the week Cloud migration: What you need to know (and where to find it) blog All together now: Fleet-wide monitoring for your Compute Engine VMs blog SRE Classroom: exercises for non-abstract large systems design blog gVisor: Protecting GKE and serverless users in the real world blog Interview ASML site ASML in One Minute video Zoom in on the chip in your smartphone video KubeFlow site BigQuery site AI Platform Notebooks site Cloud Build site Introduction to Kubeflow video Intro to Kubeflow Pipelines video How to Build a Kubeflow Pipeline video Tip of the week We have a super cool tip on combining AI and WTH with meetings and webcams! Check out the Level Up - AI Director and Level Up - Real-Time Video Translation with AR Subtitles videos! What’s something cool you’re working on? Mark is working on some upcoming Kubernetes content. Brian is working on an upcoming series of GCE videos with Carter Morgan.
43 minutes | 7 months ago
NVIDIA with Bryan Catanzaro
Mark Mirchandani and Jon Foust are together again this week, speaking with NVIDIA VP of Applied Deep Learning Research Bryan Catanzaro. Bryan and his team focus on using deep learning to enhance NVIDIA’s offerings. Since Bryan was last a guest on the show, NVIDIA has been doing some amazing things. We talk about the A100 Tensor Core GPU and the massive effort it took to create, the new RTX graphics cards great for gaming, and the differences between them. Bryan explains how the new A100 chips compare to the previous versions, saying the new chips are larger, but with almost three times the power, making them ideal for things like precise calculations. And, as Bryan says, with better computation and more insight, we can make discoveries that benefit humanity. While the new RTX graphic cards are cheaper than previous versions, they are faster and more powerful, making gaming and video streaming much more enjoyable. Background noises and objects can even be removed with the help of deep learning. Jon and Bryan talk about The Black Box at NVIDIA and what demos Jon hopes to see on his next visit. With this as the catalyst, Bryan talks more about how the NVIDIA architecture and the deep learning they employ have created efficient 8k graphics rendering for truly powerful gaming experiences. Outside of gaming, DLSS could have farther reaching benefits as the model learns new purposes, and Bryan talks us through some fun examples. With the acquisitions of Mellanox and ARM, Bryan explains that NVIDIA has been able to streamline networking and really take advantage of powerful performance at all stages. The future of AI and HPC is about the data center, Bryan explains, and NVIDIA is hoping to push the boundaries on latency reduction and more. Bryan Catanzaro Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA, where he leads a team finding new ways to use deep learning for graphics, speech, audio, and system design. His research led to the creation of the CUDNN library. Cool things of the week Introducing interactive code samples in Google Cloud documentation blog GCP Podcast Episode 228: Fastly with Tyler McMullen podcast Fastly Offers First Partner Edge Cloud-Based Content Delivery Solution on Google Cloud Marketplace press release and marketplace Interview NVIDIA site NVIDIA A100 site NVIDIA RTX 30 Series site Mellanox site ARM site Cuda site GCP Podcast Episode 119: NVIDIA and Deep Learning Research with Bryan Catanzaro podcast GCP Podcast Episode 168: NVIDIA T4 with Ian Buck and Kari Briski podcast Digital GTC site Tip of the week Zack Akil is here this week with a tip about ML on the edge with Teachable Machine and AutoML. What’s something cool you’re working on? Jon has been working on Open Match which went 1.0 recently! He’s been working on samples for matchfunctions, sending requests from game clients, and putting all that content out for the world to play with!
25 minutes | 7 months ago
IKEA Retail (Ingka Group) with Matthew Lawson
Matthew Lawson of IKEA Retail (Ingka Group) joins Mark Mirchandani and Priyanka Vergadia today, telling us all about IKEA Retail (Ingka Group)’s move to the cloud. Engineering Manager Matt and his team primarily focus on the early stages of development at IKEA Retail (Ingka Group), helping the company with research and planning as well as development. Lately, they have been focused on incrementally moving IKEA Retail (Ingka Group)’s digital presence to the cloud. Matt explains the digital shift process for IKEA Retail (Ingka Group) and why they chose to modernize and move pieces to the cloud over time. By illustrating through examples, he details projects the team worked on during this digital transformation. Matt also talks about the changes to the IKEA Retail (Ingka Group) Digital DNA, emphasizing progress made in their digital culture to allow for the drastic change from on-prem to the cloud. Using managed services like Google Cloud Run, IKEA Retail (Ingka Group) has been able to adapt and grow in the cloud. Because IKEA Retail (Ingka Group)’s culture is developer-supportive, Matt and his team were able to research and convince the company that managed services in the cloud was the way to go, and developers were allowed some autonomy to choose things like GKE to create an effective cloud environment for IKEA Retail (Ingka Group). Next year, Matt and his engineering team are hoping to run some online hackathons and other events. Matthew Lawson Matthew Lawson is responsible for leading a small innovation team at IKEA Retail (Ingka Group) in southern Sweden. He has worked within the IT/Digital industry for 13 years and has deep experience and knowledge in application development, automation, DevOps and cloud technologies - especially serverless. He has a deep passion for enabling teams to quickly provide business value across the entire digital and physical customer journey. Cool things of the week Next OnAir as it happens: All the announcements in one place blog A developer’s take: Get the most out of Cloud AI Week at Next OnAir blog BANDAI NAMCO Entertainment Inc. brings PAC-MAN to the real world in PAC-MAN GEO blog Interview IKEA Retail (Ingka Group) site Matt’s Next Session: Serverless Functions (FaaS): Secure, Scalable, Resilient, Anywhere site ML Kit site Compute Engine site Cloud Run site Google Cloud Functions site Pub/Sub site BigQuery site GKE site Firestore site IKEA Retail (Ingka Group) is hiring! site Tip of the week This week, we get a great tip from our friend Grant on using Google Cloud Functions! github What’s something cool you’re working on? Priyanka is working on sketches like this summary of Google Cloud Next and more GCP Comics!
46 minutes | 7 months ago
Active Assist with Chris Law + MariaDB SkySQL with Robert Hedgepeth
Max Saltonstall is back in the co-host seat, joining Mark for a fun chat about Active Assist. Chris Law is our guest this week, and he starts with the story of his arrival at Google and his path to the Active Assist team. Active Assist is Google’s way of helping clients learn about and take advantage of all the cloud features available. Chris describes the main ways Active Assist helps customers in the real world, from troubleshooting tools that identify problems to analysis software that helps clients determine how changes will effect the project. Active Assist also provides recommendations for cost savings, better security, and performance boosters to help clients proactively build better projects. As companies scale, these features become even more important, Chris tells us, citing examples from real users. Later, we talk about how machine learning is employed to create these recommendations. We talk transparency and learn how Chris and his team keep open communication with clients as they design and improve client security structures. In the future, the Active Assist team will continue to work with departments across Google Cloud and build more recommendations tools for customers. DataFlow and BigQuery are some of the recommendations projects coming soon. More automation will be introduced as well, helping clients do things like scale automatically based on machine learning analysis done behind the scenes. Chris Law Chris has helped to start several companies in the past, everything from Social Networking (Tribe.net) to Aggregate Knowledge, which started out as a Recommendations company and moved into Data Management Platform in the Ads space. He joined Google to see what it’s like to build things at scale. Cool things of the week Cloud Next Week 9: Business Application Platform site From One to More: Why Sharing Our Narrative Matters site The 2020 Doodle for Google national finalists are here blog Explore Kids Space: A way to nurture your kid’s curiosity blog Interview Active Assist site IAM Recommender Documentation site IAM Recommender Service Account Insights site Committed Use Discounts site Stack Chat at Home This week, we talk to Rob Hedgepeth about SkySQL. What’s something cool you’re working on? Max is working on quite a few things, from fixing his dishwasher and teaching his family new board games to a new animated Google series with Jen Person.
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