Google Cloud Platform Podcast

First time co-host Jan Kleinert joins Mark Mirchandani this week to talk about database observability and the cool tools that make it possible. Morgan McLean and Nimesh Bhagat describe database observability, which uses metrics, logs, and other tools to help users understand the health of your database. We talk about Object Relational Mappers and the challenges with using these for debugging database performance. SQL Commenter helps database observability in two ways: it is both a library and a standard, Nimesh tells us. He describes the process for us, detailing exactly how SQL Commenter effects projects. Recently, SQL Commenter was donated to OpenTelemetry to augment the observability offerings, create an application standard, and make it easier for developers to use a variety of different tools and languages. Engineers can get end-to-end traces no matter which database technologies they use. Morgan tells us about Splunk and how information from SQL Commenter is taken into Splunk and used. Backend data like

On the show this week, we’re talking about Google Cloud Reader, a nifty podcast we created to narrate Google Tech blog posts. Host Jenny Brown tells us her inspiration for creating Google Cloud Reader and she and cohost Stephanie Wong walk us through a series of published episodes. First up, we learn what Cloud SQL Maintenance is and how customers can customize maintenance schedules to limit the impacts of downtime. Region picker is the topic of our next segment, and we hear how it helps projects stay cost efficient while conserving resources. Using three inputs, companies can decide quickly which region offers the best balance between cost, latency, and carbon footprint for them. Next, we learn about search abandonment’s effect on brand loyalty and how important it is for the right products to show in search results. We tackle the working environment with the next piece, redefining productivity to make it more personal and less robotic and offering advice on being productive while maintaining a good work-lif

Guests Leigha Jarett and Debi Cabrera from the Looker team join Mark Mirchandani this week to talk about this powerful tool. Looker, Google’s data analytics platform, was built to provide enterprise companies with customizable analytics tools that allow anyone to get the data they need when they need it. This facilitates better business decisions. Leigha talks about how Looker and LookML keep data consistent among data analysts no matter where they pull data from or what they do with it. Data is more trustworthy, fostering a positive data-driven business. She details how LookML works, from database connection to metric creation, and tells us how easy it is for non-data engineers to work with as well. Robust data analysis based on trusted data points used to drive decision making is how Looker builds an environment of business intelligence rather than simple reporting. By offering easy integration into other Google tools like Data Studio and BigQuery, Looker is easy to set up, learn, and use. Our guests help l

On the show this week, Mark Mirchandani and Stephanie Wong share two popular episodes of Bruno Aziza’s YouTube series Data Journeys. First up, Bruno talks with Aaron Biller of Postmates about their triangle of complex data that includes customer, courier, and merchant. He details their data storage and analytics structure, describing it as a reverse pyramid of tons of data with few engineers to manage and analyze it. To handle this, Postmates takes a stay-out-of-the-way approach by providing good data and letting the analysts do what they do best without micromanaging. Aaron talks about this data architecture, including the use of BigQuery as data lakes to keep data storage simple, and how Google collaboration tools streamline access and authorization tasks. Communication and flexibility are important, Aaron tells us, and he offers other advice for companies designing data systems. Feedback loops, dedicated training, and an open environment with no silos also help foster a productive, healthy data workplace.

Brian Dorsey and Kaslin Fields welcome Kat Cosgrove of Pulumi this week to talk about what’s new with Kubernetes 1.24. Pulumi is infrastructure as code, allowing developers to use whatever language they are comfortable with to create and test infrastructure. Kat walks us through typical Pulumi infrastructure test scenarios to demonstrate the benefits of this software, especially with GCP. In the new Kubernetes release, one of the biggest updates is the removal of Dockershim. If you’re using a managed Kubernetes service through GCP, this update should not affect you, Kat tells us. She clears up some common Docker misconceptions and tells us how Kubernetes and Docker still work together. Kat describes the situations where this update might affect certain projects and how to tell if you’re one of the unlucky few. Later, we talk about the future of tech conferences. Kat is excited to get back to some in-person learning and networking, but at the same time, is hopeful that conferences will continue a hybrid model

This week on the podcast, Wael Manasra and Cody Oss join hosts Carter Morgan and Mark Mirchandani to chat about new branding in Cloud SDK and gcloud CLI. Google Cloud SDK was built and designed to take over mundane development tasks, allowing engineers to focus on specialized features and solutions. The SDK documentation and tutorials are an important part of this as well. With clear instructions, developers can easily make use of Cloud SDK. Software Development Kits have evolved so much over the years that recently, Cody, Wael, and their teams have found it necessary to redefine and rethink SDKs. The popularity of cloud projects and distributed systems, for example, means changes to kit requirements. The update is meant to reevaluate the software included in SDKs and CLIs and to more accurately represent what the products offer. Giving developers the tools they need in the place they work means giving developers code language options, providing thorough instruction, and listening to feedback. These are the g

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 cultura

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 c

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 W

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 bene

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

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 als

This week, Stephanie Wong and Carter Morgan are talking about the recently released State of DevOps Report. Guests Dustin Smith and Nathen Harvey tell us all about DORA, the research group working to study DevOps, and the findings of their years-long study aimed at improving workplace environments, fostering sustainable increased productivity, and ensuring quality output across industries. During their years of research, the DORA team has developed ways to measure team results and workplace culture. Our guests tell us about the five measures they use, including deployment frequency and reliability. The shared responsibility and collaboration of teams at a company to optimize these five metrics is what makes good DevOps performance. Through a real-life example, we hear how the coordination of goals and incentives across departments can improve results of the DevOps metrics, thus improving the speed and stability of finished products. Once businesses identify problems, they need realistic expectations of the ti

Mark Mirchandani and Max Saltonstall are back this week to learn everything there is to know about Assured Workloads with Bryce Buffaloe and Mikaela Misaka. Google’s Assured Workloads helps companies and governments ensure secure projects and privacy protection in sectors with extensive compliance requirements while taking advantage of Cloud capabilities. Bryce and Mikaela start the show talking about the challenges faced when using a public cloud for projects with very specific regulations and how Assured Workloads was developed to help solve these issues. The easy setup steps and uncomplicated UI help customers move from their on-prem infrastructure to Google Cloud where scaling, local customer support, and other advantages can be easily leveraged while maintaining a secure, compliant environment. With so many compliance standards in sectors like finance and healthcare, our guests walk us through the process Assured Workloads clients go through from identifying the regulations of markets they participate in

On the podcast this week, Mark Mirchandani and Carter Morgan host guests Chad Jennings and Joel Conkling in a fascinating discussion about Earth Engine and performing geospatial processing to help companies become more environmentally conscious. Google’s geospatial functionality is some of the most advanced in the world, and with the Next announcements, commercial companies can now take advantage of this with tools like Earth Engine and in Cloud analytics offerings like BigQuery. Together, these tools make the three pillars of geospatial cloud: analysis of vector data with tools like CloudSQL or BigQuery, analysis of image data with Earth Engine, and taking advantage of the data assets. This geospatial analysis helps us understand the world and how it’s changing, then apply this information to make important, environmentally friendly decisions. As a key part of this system, Earth Engine is a geospatial data-processing platform specializing in the analysis of satellite images and other image data. It provides

Mark Mirchandani is back this week with cohost Bukola Ayodele. We’re talking with Eric Schmidt and Bruno Aziza about all the awesome new analytics, data, and AI launches from last week’s Google Cloud Next conference. Our guests start the show outlining the challenges clients face when storing, organizing, and analyzing data in the cloud. These needs have inspired Google solutions that focus on simplifying data management for customers. Next announcements like BigQuery Omni, which helps customers achieve full data visibility with cross-cloud analytics, and DataPlex, which facilitates data management at scale, will change the way companies think about their data. BigQuery integration with AppSheets and the new Cloud Looker LookML let customers build once and access from anywhere. The new Looker and Tableau integration revolutionizes the use of the semantic model in Tableau, allowing things like company-established data governance and the Looker Blocks ecosystem to pull into Tableau analysis. New Looker Blocks s

On the podcast this week, Mark Mirchandani and Stephanie Wong hear all about the cool stuff happening at Cloud Next 2021. Brian Hall and Forrest Brazeal join the show to outline exciting announcements, fun partnerships, and what the future holds for Google Cloud. The immense prep and planning that went into Next shows through in the intentional and unified strategy of announcements and offerings at the conference. Our guests talk about this process and the challenges and decisions that went into the content choices and scheduling. The addition of Community Day, for example, was implemented to create a sense of in-person participation in an online-only event. Next kicked off this week with a Keynote presentation talking about the momentum of production and infrastructure innovation at Google Cloud, new product announcements across data cloud and open cloud infrastructure, security advancements, sustainability, and more. Our guests talk about important partnerships Google Cloud has fostered this year with clien

This week, Mark Mirchandani and Brian Dorsey welcome Perry Pierce and JoAnn Brereton of Major League Baseball to the show to talk sports and cloud. Baseball teams are independently owned franchises, Perry explains, with MLB acting as the oversight corporation. This keeps game play fair and consistent. Like most large corporations these days, technology has become a vital business tool for MLB. Their partnership with Google facilitated a shift from on-prem to the cloud, allowing MLB to take advantage of advanced capabilities like scaling and managed services in a safe environment. JoAnn talks about the process of this shift and the teams at Google that helped make it happen. She details the systems that MLB has moved to GCP, like game scheduling, umpire management, backend systems, and especially the draft. The amateur draft, a multi-day event, has a special set of challenges that MLB and Google had to overcome. Analyzing player statistics and updating which players have been picked and who is still available

Alexandrina Garcia-Verdin and Stephanie Wong host this week’s episode all about managing non-REST APIs. Guests Nandan Sridhar and Dave Feuer start the show introducing our listeners to Apigee, a full life cycle API management tool, and the three tenets of Apigee that streamline the relationship between producers of APIs and their users. APIs have come a long way as technologies have changed, and David explains the evolution of API development and how it relates to the newer non-REST APIs. The consumption of applications has significantly changed, but Nandan points out that developer strategies and experiences have also changed. These advances have led to the popularity of non-REST APIs. APIs are being used in new ways David tells us, and through examples, we hear how Apigee is helping these companies realize their cutting-edge API goals. Nandan helps our listeners understand the difference between REST and non-REST APIs and the advantages of the latter in today’s technological environments. Each of the four m

On the podcast this week, our guests Brian Schwarz and Sean Derrington discuss the ins and outs of the new storage launches with your hosts Stephanie Wong and Jenny Brown. Brian gives light introductions to the five facets of Google’s data storage portfolio, like the primary storage solutions for files, storage of backups of data, and data transfer software and hardware. Lately, the Google team has been enhancing existing data solutions and building new ones. Cloud Storage’s multi-region and custom dual-region options easily let customers keep data safe and accessible. Our guests explain what happens behind the scenes to make these features so effective. Brian and Sean describe the user experience, including how clients can see when data is being replicated and where. New capabilities like Turbo Replication allow more modernization for clients moving to the cloud as well. Sean talks about the new Filestore Enterprise, which allows companies to move critical apps to the cloud quickly and securely, and we learn