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The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to BigQuery.

Google Cloud Platform Podcast Google Cloud Platform

    • Technologie
    • 5,0 • 3 beoordelingen

The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to BigQuery.

    Resiliency at Shopify with Camilo Lopez and Tai Dickerson

    Resiliency at Shopify with Camilo Lopez and Tai Dickerson

    Carter Morgan and Stephanie Wong host Shopify guests Camilo Lopez and Tai Dickerson this week. Shopify streamlines the online purchasing process so merchants and customers can transact with confidence.
    Camilo and Tai talk in-depth about Shopify’s tech stack and why the choices made are so important to performance. Shopify engineers use a combination of Ruby on Rails, MySQL and Google products like Kubernetes. Resiliency systems like active-active configurations, chat ops for quick solutions, and bot and overload protection are worked in. By leveraging these tools and staying flexible in their resiliency efforts, Shopify is able to adjust to new merchant requirements and teams are able to work efficiently.
    While tech continues to progress and change, the Shopify culture remains a driving force for advancement, Camilo tells us. The company ideals and axioms help steer the brand and dictate which technologies they’ll use to solve new and changing client demands. The 2014 outage shaped the future of these cultural ideals, emphasizing the need for quick action and resiliency components like constraints to ensure system safety. Shopify engineers also built enhanced testing tools like Toxiproxy to simulate poor network conditions and account for potential issues.
    The 2021 Black Friday Cyber Monday shopping season was Shopify’s biggest yet. Camilo and Tai describe how Shopify’s resiliency culture and intense prep work made the biggest shopping weekend of the year so successful. By offering educational tools and a support network that values good communication, their company culture continues to grow, and Tai tells us how it’s not just the software that should be resilient. Building a resilient, flexible company culture is just as important.
    Camilo talks about Shopify’s recent shift to a completely remote work place and the new challenges and opportunities it presents.
    Camilo Lopez Camilo has worked at Shopify for more than 10 years, he has been an IC and a manager leading teams that take care of Shopify’s scalability and resiliency.
    Tai Dickerson Tai is a production engineer at Shopify, where she shares her passion for resilience engineering with others via paper discussions and as a leader in Shopify’s Resiliency SIG.
    Cool things of the week Machine images is GA docs New Cloud Logging and Monitoring capabilities Monitoring third-party applications: MariaDB docs Monitoring third-party applications: MySQL docs Monitoring third-party applications: Memcached docs Starting with version 2.8.0, the Ops Agent supports Ubuntu 21.10. For more information, see Linux operating systems docs Interview Shopify site Kubernetes site GKE site Kafka site Redis site Elastic Search site Memcached docs Toxiproxy site Shopify Engineering site Shopify Careers site BFCM Twitter Thread site Shopify engineers deliver on peak performance during Black Friday Cyber Monday 2021 blog Cloud, Load, and Modular Code: What 2022 Looks Like for Shopify blog Terri Haber on Resiliency at Scale site Terri Haber on Enforced Pacing site Bart Jedrocha on Load Testing site Bart Jedrocha on Tooling for Load Testing site Bart Jedrocha on The Future of Load Testing site Ryan McIlmoyl on Code Red site Ryan McIlmoyl on Working with IMOC site Camilo Lopez on The 2014 Outage site Camilo Lopez on Holiday Season Learnings site Tai Dickerson on Doing Things Differently site Tai Dickerson on Learning & Community site What’s something cool you’re working on? Stephanie is working on season 2 of the Where the Internet Lives podcast.
    Carter is working on season 2 of VM End to End.
    Hosts Carter Morgan and Stephanie Wong

    • 39 min.
    Cloud Security Megatrends with Phil Venables

    Cloud Security Megatrends with Phil Venables

    We’re back for a new, exciting year of the Google Cloud Platform Podcast! Mark Mirchandani and Carter Morgan start 2022 with a jointly hosted interview with Anton Chuvakin and Timothy Peacock of the Cloud Security Podcast team. Our guest, Phil Venables, is here to tell us about the driving trends in cloud security today.
    Phil starts the show with a discussion on the advances in cloud security in general and how it compares with on-prem security. Megatrends like economies of scale and competition between cloud providers benefit cloud users by allowing better security for less money. Cloud environments tend to be simpler and therefore easier to manage, and with scaling and geographic location options, cloud projects allow more flexibility to reach security and sustainability goals.
    Phil talks about the iteration process of advances in security based on customer requirements and how this builds client trust. The Shared Responsibility Model, where the cloud provider runs a secure infrastructure and the customer configures their project securely in the cloud, is a great start, Phil tells us. But with Shared Fate, he sees the provider crossing the responsibility barrier to work together with the client towards a secure project through actions like analyzation of security defaults. Customer feedback helps Google Cloud make a better product, which in turn helps customers, creating an environment of reliability and shared trust.
    We talk about how the Shared Fate model and shared incentives work together to create a closer partnership between cloud providers and customers, and Phil elaborates on the idea of project security as an immune system. We tackle the idea of security diversity and whether it benefits clients to expand their security outside of cloud provider offerings. Phil helps security novices understand valuable feature-add security services and what to look for in the future.
    Phil Venables Phil leads the risk, security, compliance, and privacy teams for Google Cloud. Prior to joining Google Cloud, Phil was a Partner at Goldman Sachs where he held multiple roles over a long career, initially as their first Chief Information Security Officer, a role he held for 17 years. Before Goldman Sachs, Phil held multiple CISO roles as well as senior engineering roles across a range of finance, energy and technology companies.
    Cool things of the week 2022 Resolution: Learn Google Cloud, free of charge blog How to build a virtual employment center on Google Cloud & Workspace video Interview Cloud Security Podcast podcast IT Leaders: Pay Attention To These 8 Security Megatrends In 2022 article GCP Podcast Episode 218: Chronicle Security with Dr. Anton Chuvakin and Ansh Patniak podcast What’s something cool you’re working on? Mark and Carter are working on some cool new changes to the podcast.
    Hosts Carter Morgan, Mark Mirchandani, Anton Chuvakin and Timothy Peacock

    • 32 min.
    2021 Year End Wrap Up

    2021 Year End Wrap Up

    We’re finishing out 2021 with a celebration of our favorite episodes and topics from the year! From new tools for Cost Optimization in GKE and advances in AI to tips for improving feelings of imposter syndrome, Carter Morgan, Stephanie Wong, and Mark Mirchandani share memorable moments from 2021 and look forward to future episodes.
    Carter Morgan Carter Morgan is Developer Advocate for Google Cloud, where he creates and hosts content on Google’s Youtube channel, co-hosts several Google Cloud podcasts, and designs courses like the Udacity course “Scalable Microservices with Kubernetes” he co-created with Kelsey Hightower. Carter Morgan is an international standup comedian, who’s approach of creating unique moments with the audience in front of him has seen him perform all over the world, including in Paris, London, the Melbourne International Comedy Festival with Joe White. And in 2019, and the 2019 Edinburgh Fringe Festival. Previously, he was a programmer for the USAF and Microsoft.
    Stephanie Wong Stephanie Wong is a Developer Advocate focusing on online content across all Google Cloud products. She’s a host of the GCP Podcast and the Where the Internet Lives podcast, along with many GCP Youtube video series. She is the winner of a 2021 Webby Award for her content about data centers. Previously she was a Customer Engineer at Google and at Oracle. Outside of her tech life she is a former pageant queen and hip hop dancer and has an unhealthy obsession with dogs.
    Mark Mirchandani Mark Mirchandani is a developer advocate for Google Cloud, occasional host of the Google Cloud Platform podcast, and helps create content for users.
    Cool things of the week Anthos Multi-Cloud v2 is generally available docs Machine learning, Google Kubernetes Engine, and more: 10 free training offers to take advantage of before 2022 blog The past, present, and future of Kubernetes with Eric Brewer blog GCP Podcast Episode 124: VP of Infrastructure Eric Brewer podcast Our Favorite Episodes of 2021 Mark’s Favorites GCP Podcast Episode 252: GKE Cost Optimization with Kaslin Fields and Anthony Bushong podcast GCP Podcast Episode 267: Cloud Firestore for Users who are new to Firestore podcast GKE Essentials videos Beyond Your Bill vidoes Stephanie’s Favorites GCP Podcast Episode 270: Traditional vs. Service Networking with Ryan Przybyl podcast GCP Podcast Episode 271: The Future of Service Networking with Ryan Przybyl podcast GCP Podcast Episode 279: MLB with Perry Pierce and JoAnn Brereton podcast Carter’s Favorites GCP Podcast Episode 284: State of DevOps Report 2021 with Nathen Harvey and Dustin Smith podcast GCP Podcast Episode 287: Imposter Syndrome with Carter Morgan podcast Most Popular Episodes of 2021 GCP Podcast Episode Episode 264: SRE III with Steve McGhee and Yuri Grinshtey podcast GCP Podcast Episode 258: The Power of Serverless with Aparna Sinha and Philip Beevers podcast GCP Podcast Episode 253: Data Governance with Jessi Ashdown and Uri Gilad podcast GCP Podcast Episode 263: SAP + Apigee: The Power of APIs with Benjamin Schuler and Dave Feuer podcast GCP Podcast Episode 271: The Future of Service Networking with Ryan Przybyl podcast Sound Effects Attribution “Dun Dun Duuun” by Divenorth of Freesound.org “Cash Register” by Kiddpark of Freesound.org “Jingles and Pings” by BristolStories of HDInteractive.com “Time – Inception Theme” Composed by Hanz Zimmer (super-low-budget midi version) Hosts Stephanie Wong, Carter Morgan and Mark Mirchandani

    • 43 min.
    Imposter Syndrome in Tech with Carter Morgan

    Imposter Syndrome in Tech with Carter Morgan

    Carter Morgan takes the guest seat today to chat with host Stephanie Wong about imposter syndrome in tech. The technology ecosystem is constantly changing, with new advances every day. To keep up, tech workers are learning and developing new skills so frequently that at times it can feel as though they don’t actually know everything they need to know. Here is where self-doubt can really take hold.
    Imposter syndrome is most prevalent around transition points, Carter tells us. A new job or new responsibility, for example, opens tech workers to feelings of inadequacy. But there’s hope, and he explains how we can learn and develop skills to overcome this difficulty. Through tales of his own experiences, Carter offers supportive tips he’s learned, including how important it is to communicate with your manager and seek help rather than isolating.
    Unhealthy comparisons can foster self-doubt as well. Depth and breadth of knowledge are important factors to consider as well, and Carter points out that each has its benefits. Knowing when to go deep into a subject and when to obtain surface level knowledge can foster a sense of ease and adequacy in knowledge workers. Stephanie shares her experiences with imposter syndrome, highlighting the difference between self-perception and audience perception and why it’s important to give yourself credit for what you’ve accomplished. Breaking into a new space can be intimidating. Carter walks us through important steps to take to start tackling imposter syndrome from the beginning, including the effects of positive mentorships.
    This month, Carter is giving a presentation at Cloud Learn (Dec 8-9, 2021), and he wraps up this episode with a sneak peak.
    Carter Morgan Carter Morgan is Developer Advocate for Google Cloud, where he creates and hosts content on Google’s Youtube channel, co-hosts several Google Cloud podcasts, and designs courses like the Udacity course “Scalable Microservices with Kubernetes” he co-created with Kelsey Hightower.
    Carter Morgan is an international standup comedian, who’s approach of creating unique moments with the audience in front of him has seen him perform all over the world, including in Paris, London, the Melbourne International Comedy Festival with Joe White. And in 2019, and the 2019 Edinburgh Fringe Festival.
    Previously, he was a programmer for the USAF and Microsoft.
    Cool things of the week Cloud Learn site 5 things not to do with Cloud Functions, and 5 things you absolutely should do instead blog Interview Cloud Learn site What do I really need to know to succeed at work? blog Hosts Stephanie Wong

    • 25 min.
    Serverless, Redefined with Jason Polites

    Serverless, Redefined with Jason Polites

    Guest Jason Polites joins Stephanie Wong and Bukola Ayodele this week to talk about advances in serverless computing with Cloud Run and how developers and wallets are benefiting.
    Cloud Run, a managed service which allows developers to run containers, is now available in all GCP regions, offers increased resource access, global load balancing, and more. Jason tells us how this evolution of Cloud Run has led to the support of bigger, more complicated, and even legacy software fully and efficiently functioning in a serverless environment. The team at Google continues to expand offerings in order to afford the benefits of auto-scaling and other managed services to all workloads. Always On CPU, for example, supports projects with running background functions.
    Later, Jason gives us examples of projects that best fit a serverless infrastructure and the cost benefits of using Cloud Run. He offers cost-saving tips for projects, like committed use discounts and auto-scaling limits. Balancing cost efficiency with global reliability is important, and Jason tells us how this is easily achieved with Cloud Run features like scaling to zero.
    To limit the barrier to entry for new Cloud Run and container users, Jason and his team have been working on open source build packs. Developers can turn code into a container without creating Docker files. The containers running in Cloud Run are highly portable as well, giving companies the freedom to move their containers freely.
    Jason Polites Jason leads the Serverless Compute product team in Google Cloud, including products like Cloud Run and App Engine.
    Cool things of the week Illicit coin mining, ransomware, APTs target cloud users in first Google Cybersecurity Action Team Threat Horizons report blog Microservices architecture on Google Cloud blog Interview Cloud Run site Cloud Run CPU Allocation docs Run more workloads on Cloud Run with new CPU allocation controls blog Docker site Google Cloud Buildpacks site App Engine site Cloud Functions site GCP Podcast Episode 173: Cloud Run with Steren Giannini and Ryan Gregg podcast GCP Podcast Episode 203: Cloud Run GKE with Donna Malayeri podcast GCP Podcast Episode 261: Full Stack Dart with Tony Pujals and Kevin Moore podcast What’s something cool you’re working on? Bukola just finished Season 2 of the Click to Deploy series.

    • 23 min.
    Managing ML Lifecycles with Vertex AI with Erwin Huizenga

    Managing ML Lifecycles with Vertex AI with Erwin Huizenga

    We’re learning all about Vertex AI this week as Carter Morgan and Jay Jenkins host guest Erwin Huizenga. He helps us understand what is meant by Asia Pacific and how Machine Learning is growing there. APAC’s Machine Learning scene is exciting for its enterprise companies leveraging ML for innovative projects at scale. The ML journey of many of these customers revealed challenges with things like efficiency that Vertex AI was built to solve.
    The Vertex AI platform boasts tools that help with everything from the beginning stages of data collection to analysis, validation, transformation, model training, evaluation, serving the model, and metadata tracking. Erwin offers detailed examples of this pipeline process and describes how Feature Store helps clients manage their projects.
    Using Vertex AI not only simplifies the initial development process but streamlines the iteration process as the model is adjusted over time. Pipelines offers automation options that help with this, Erwin explains. ML Operations are also built into Vertex AI to ensure everything is done in compliance with industry standards, even at scale. Using customer recommendations as an example, Erwin walks us through how Vertex AI can employ embedding to enhance customer experiences through ML.
    By using Vertex AI in combination with other Google offerings like AutoML, companies can effectively build working ML projects without data science experience. We talk about the Vertex AI user interface and the other tools and APIS that are available there. Erwin tells us how Digits Financial uses Vertex AI and Pipeline to bring models to production in days rather than months, and how others can get started with Vertex AI, too.
    Erwin Huizenga Erwin Huizenga is a Data Scientist at Google specializing in TensorFLow, Python, and ML.
    Cool things of the week Announcing Spot Pods for GKE Autopilot—save on fault tolerant workloads blog Indosat Ooredoo and Google Launch Strategic Partnership to Accelerate Digitalization Across SMBs and Enterprises in Indonesia site Indosat Ooredoo dan Google Luncurkan Kemitraan Strategis untuk Percepatan Digitalisasi UMKM dan Perusahaan di Indonesia site Interview Vertex AI site Google Cloud in Asia Pacific blog Introduction to Vertex AI docs What Is a Machine Learning Pipeline? site TensorFlow site PyTorch site Vertex AI Feature Store docs AutoML site BigQuery ML site Vertex AI Matching Engine docs ScaNN site Announcing ScaNN: Efficient Vector Similarity Search blog Vertex AI Workbench site Vertex Pipeline Case Study: Digits Financial site Intro to Vertex Pipelines Codelab site Vertex AI: Training and serving a custom model Codelab site Vertex AI Workbench: Build an image classification model with transfer learning and the notebook executor Codelab site APAC Best of Next 2021 site TFX: A TensorFlow-Based Production-Scale Machine Learning Platform site Rules of Machine Learning site Google Cloud Skills Boost: Build and Deploy Machine Learning Solutions on Vertex AI site Monitoring feature attributions: How Google saved one of the largest ML services in trouble blog What’s something cool you’re working on? Jay is working on APAC Best of Next and will be doing a session on sustainability!
    Carter is working on transitioning the GCP Podcast to a video format!

    • 38 min.

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