Podcasts about cloud sql

SDU Show 91 features the Cloud SQL lead for Google Mohamed Kabiruddin discussing implementing SQL Server on Google Cloud

Go to TeamSimmer and use the coupon code "DEVIATE" for 10% off on individual course purchases.>> Articles and content mentioned in the episode

Welcome episode 227 of the Cloud Pod podcast - where the forecast is always cloudy! This week your hosts are Justin, Jonathan, Matthew and Ryan - and they're REALLY excited to tell you all about the 161 one things announced at Google Next. Literally, all the things. We're also saying farewell to EC2 Classic, Amazon SES, and Azure's Explicit Proxy - which probably isn't what you think it is.  Titles we almost went with this week:

SAP and Google Cloud announced an expanded partnership to help enterprises harness the power of data and generative AI. IFS announced it has signed a definitive agreement to acquire Falkonry, Inc. UKG began the week by providing a business update for the third quarter of fiscal 2023, ending June 30, 2023. Salesforce followed suit, announcing results for its second quarter fiscal 2024 ended July 31, 2023. Qlik announced it has successfully achieved Google Cloud Ready – Cloud SQL Designation for Cloud SQL for both Qlik Data Integration and Talend Data Fabric.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

In this special episode, we are featuring That Digital Show. As the electric vehicles (EV) sector accelerates, drivers are finding it a challenge to conveniently access charging points. This has become one of the biggest concerns for EV drivers around the world. Intending to solve this problem, Taiwan-born company ChargesSmith offers EV users an end-to-end charging solution by developing a map for drivers, with the most updated information on location and availability of charging points around the country.  Today, ChargeSmith serves more than 70% of EV users in Taiwan, partnering with various charging point operators to give users a high level of accessibility. Their vision and goal is to organize and share energy with communities, countries, and the earth.  In this episode, ChargeSmith CEO Andy Chen talks about sustainability in the EV market and the growth of EV adoption. As an EV driver himself, Chen shares the issues he faces first-hand, and how ChargeSmith is leveraging data to solve the challenges of today while paving a future for EV drivers of tomorrow. In this episode, we also hear from Alex Kuo of GAIA, who shares how his team collaborates with ChargeSmith to use cloud technology as an enabler in this evolving landscape. Are you ready for a cleaner driving experience? Tune in to find out.  Andy Chen, CEO of ChargeSmith Andy is one of the earliest EV adaptors in Taiwan. With enthusiasm for the EV community, he has led ChargeSmith to build up Taiwan's largest EV charging roaming network. Andy enjoys observing the market's pain points and using data-driven strategies to accelerate the adoption of the product.  Alex Kuo, Sr. Account Manager of GAIA An accomplished sales professional, Alex has led sales teams across the IT industry to success, helping SMB and enterprise clients achieve impressive business growth. With a passion for blockchain technology, Alex enjoys innovating and developing new products and services for clients that ultimately contribute to the growth of the industry. Theo Davies Theo is Head of Cloud Sales Excellence & Productivity at Google Cloud and host of “That Digital Show APAC”. He is a record-breaking salesperson, sales leader, coach and speaker with a 20+ year career beginning in sales. Theo is also the President of the Google Public Speaking Academy. Interview ChargeSmith: https://www.chargesmith.com/ev/ Hosts Theo Davies and Paris Tran

Relational databases, data cloud's effect on infrastructure, serverless databases, and GTM strategies: Matt Turck and CockroachDB's Spencer Kimball cover it all in today's episode.

Welcome to the newest episode of The Cloud Pod podcast - where the forecast is always cloudy! Ryan, Jonathan, and Matt are your hosts this week as we discuss all things cloud, including updates to Terraform, pricing updates in GCP SCC, AWS Blueprint, DMS Serverless, and Snowball - as well as all the discussion on Microsoft quantum safe computing and ethical AI you could possibly want!  A big thanks to this week's sponsor: Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

This week, Max Saltonstall and Stephanie Wong go behind the scenes at Google Cloud with Gabe Weiss and Anita Kibunguchy-Grant to learn how new products move from idea to market. To start, our guests walk us through a typical end-to-end life cycle as Google creates new and exciting products for users. Starting with a problem sometimes brought to light by users, a solution is workshopped, and a team is brought together to tackle the issue. Once the product is workable, Gabe and his team step in to evaluate and pass it on to Anita for market launch. With examples like BigQuery Omni and AlloyDB, Anita and Gabe walk us through a real launch scenario, from naming the product to promotion and observing the satisfying impacts of a product solving real-world problems. Anita details the three phases of a product launch and which teams are involved. The phases are pre-launch, during launch, and post-launch. In pre-launch, things like naming and messaging are crafted, priority is assigned via tier assignment, and plans are made to interact with various promotional and other teams who may need to be involved with the launch. Launch day activities are coordinated next as various marketing avenues are leveraged for maximum visibility and development teams work together to make the technical side successful. Post-Launch involves some debriefing on the success of the marketing as well as analysis of use, press coverage, page views, revenue, sentiment among users, and enabling sales teams for success. Gabe talks about the importance of his team in the process as they test products for customer usability and QA before launch as well. He and Anita elaborate on the differences with Google launches versus other companies, including the stages involved in launch and the naming of these stages. Many launches are done at big Google Cloud events, like Google I/O, Anita points out as a unique feature of Google, which can be a gift and a curse. Challenges are addressed as our guests talk us through possible problems and the ways launch teams address them. Anita and Gabe emphasize empathy and communication in product launching and the importance of clear, productive feedback. Anita Kibunguchy-Grant Anita Kibunguchy-Grant is a Product Marketing Lead at Google with extensive experience across Data Analytics and Databases products and solutions. Before Google, she led awareness and go-to-market programs at VMware. She has an MBA from MIT Sloan School of Management and is passionate about helping customers use data and technology to transform their businesses. Gabe Weiss Gabe leads the database advocacy team for the Google Cloud Platform team ensuring that developers can make awesome things, both inside and outside of Google. Prior to Google he's worked in virtual reality production and distribution, source control, the games industry, and professional acting. Cool things of the week Leveling up your data analysis skills as a student blog Catalog of Unabashed Gratitude site How Google Cloud blocked the largest Layer 7 DDoS attack at 46 million rps blog Interview BigQuery site Datastream site Database Migration Services site Cloud SQL site AlloyDB site PostgreSQL site Google I/O site Qwiklabs site Agones site Databases blog What's something cool you're working on? Max is wrapping up his hosting of summer interns and getting ready for vacation! He plans to play a lot of board games and video games! Steph also enjoyed hosting interns this summer! Hosts Stephanie Wong and Max Saltonstall

On The Cloud Pod this week, the team discusses why Ryan's yelling all day (hint: he's learning). Plus: Peter misses the all-important cloud earnings, AWS Skill Builder subscriptions are now available, and Google Eventarc connects SaaS platforms.  A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Your hosts Max Saltonstall and Carter Morgan talk with guests Cody Ault and Jo-Anne Bourne of Veeam. Veeam is revolutionizing the data space by minimizing data loss impacts and project downtime with easy backups and user-friendly disaster recovery solutions. As a software company, Veeam is able to stay flexible with its solutions, helping customers keep any project safe. Cody explains what is meant by disaster recovery and how different systems might require different levels of fail-safe protection. Jo-Anne talks about the financial cost of downtime and how Veeam can help save money by planning for and preventing downtime. Veeam backup and replication is the main offering that can be customized depending on workloads, Cody tells us. He gives examples of how this works for different types of projects. Businesses can easily make plans for recovery and data backups then implement them with the help of Veeam. Cody talks about cloud migration and how Veeam can streamline this process with its replication services, and Jo-Anne emphasizes the importance of these recovery processes for data in the cloud. The journey from fledgling Veeam to their current suite of offerings was an interesting one, and Cody talks about this evolution, starting with the simple VM backups of version 5. As companies have brought new recovery challenges, Veeam has grown to provide these services. Their partnership with Google has grown as well, as they continue to leverage Google offerings and support Google Cloud customers. We hear examples of Veeam customers and how they use the software, and Cody tells us a little about the future of Veeam. Cody Ault Cody has been at Veeam for over 11 years in various roles and departments including Technical Lead for US Support team, Advisory Architect for Presales Solutions Architect and Staff Solutions Architect for Product Management Alliances. He has acted as the performance, databases, security, and monitoring specialist for North America for the Presales team and has helped develop the Veeam Design Methodology and Architecture Documentation template. Cody is currently working with the Alliances team focusing on Google Cloud, Kubernetes and Red Hat. Jo-Anne Bourne Jo-Anne is a Partner Marketing Strategist who works with global companies to support them in positioning company products with their customer base. She is effective in developing strategic partnerships with International Resellers, CCaaS partners, Systems Integrators, OEM partners and ISV partnerships like Amazon, Microsoft, Avaya, Cisco, Five9, BT to develop strategies to enable sales teams to generate significant revenue and in turn, build profitability for the company. Jo-Anne is a brand steward successful in using analytics to create results-driven campaigns that increase brand awareness, generate sales leads, improve customer engagement and strengthen partner relationships. Cool things of the week Announcing general availability of reCAPTCHA Enterprise password leak detection blog Cloud Podcasts site Bio-pharma organizations can now leverage the groundbreaking protein folding system, AlphaFold, with Vertex AI blog Interview Veeam site Veeam for Google Cloud site VeeamHub site Google Cloud VMware Engine site Cloud SQL site Kasten site Kubernetes site GKE site What's something cool you're working on? Carter is working on the new Cloud Podcasts website. Max is working on research papers about how we built and deployed Google's Zero Trust system for employees, BeyondCorp. Kelci is working on creating a series of blog posts highlighting the benefits of having access to public data sets embedded within BigQuery. Hosts Carter Morgan and Max Saltonstall

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 metrics from Cloud Monitoring and client libraries can be correlated together with SQL Commenter and brought into Splunk for full stack observability. Nimesh offers client examples to help us understand how these useful tools integrate for optimal observability. He tells us about the databases and ORMs supported by SQL Commenter. Our guests and co-host Jan give tips to help our listeners get started with SQL Commenter and talk about what they're looking forward to in the future of observability. Nimesh Bhagat Nimesh is a product manager at Google Cloud, he leads Database Observability. 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. Morgan McLean Morgan is ​​Director of Product Management at Splunk and co-creator of OpenCensus / OpenTelemetry. Cool things of the week Google Cloud Innovators site Redesigning the Cloud SDK + CLI for easier development blog GCP Podcast Episode 291: Redesigning the Cloud SDK and CLI with Wael Manasra and Cody Oss podcast What is Active Assist? video GCP Podcast Episode 235: Active Assist with Chris Law + MariaDB SkySQL with Robert Hedgepeth podcast Interview SQL Commenter site Sequelize site SQL Alchemy site ADO.net site GCP Podcast Episode 247: Cloud SQL Insights with Nimesh Bhagat podcast OpenTelemetry site Splunk site Cloud Monitoring site Cloud Spanner site Cloud SQL site Cloud Trace site Sqlcommenter now extending the vision of OpenTelemetry to databases blog Hosts Mark Mirchandani and Jan Kleinert

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-life balance. Making learning more personalized is the subject of our next segment. We hear how Google is using AI to aid the instruction of students no matter their learning style. Building diversity, equity, and inclusion into companies is important for success, and our last segment offers advice on how to incorporate DEI initiatives to ensure employees feel valued. Cool things of the week Build a data mesh on Google Cloud with Dataplex, now generally available blog From watersheds to Koala habitats - tackling ecosystem restoration with data blog Interview Understanding Cloud SQL Maintenance: why is it needed? blog Cloud SQL site Faster, cheaper, greener? Pick the Google Cloud region that's right for you blog Google Cloud Region Picker on GitHub site Reduce your cloud carbon footprint with new Active Assist recommendations blog Research: Search abandonment has a lasting impact on brand loyalty blog Why Search Abandonment Is the Metric That Matters video The Google Workspace guide to productivity and wellbeing blog New Google Cloud Student Success Services help educators scale individualized learning blog Why representation matters: 6 tips on how to build DEI into your business blog Why representation matters blog Hosts Stephanie Wong and Jenny Brown

About MilesAs Chief Technology Officer at SADA, Miles Ward leads SADA's cloud strategy and solutions capabilities. His remit includes delivering next-generation solutions to challenges in big data and analytics, application migration, infrastructure automation, and cost optimization; reinforcing our engineering culture; and engaging with customers on their most complex and ambitious plans around Google Cloud.Previously, Miles served as Director and Global Lead for Solutions at Google Cloud. He founded the Google Cloud's Solutions Architecture practice, launched hundreds of solutions, built Style-Detection and Hummus AI APIs, built CloudHero, designed the pricing and TCO calculators, and helped thousands of customers like Twitter who migrated the world's largest Hadoop cluster to public cloud and Audi USA who re-platformed to k8s before it was out of alpha, and helped Banco Itau design the intercloud architecture for the bank of the future.Before Google, Miles helped build the AWS Solutions Architecture team. He wrote the first AWS Well-Architected framework, proposed Trusted Advisor and the Snowmobile, invented GameDay, worked as a core part of the Obama for America 2012 “tech” team, helped NASA stream the Curiosity Mars Rover landing, and rebooted Skype in a pinch.Earning his Bachelor of Science in Rhetoric and Media Studies from Willamette University, Miles is a three-time technology startup entrepreneur who also plays a mean electric sousaphone.Links: SADA.com: https://sada.com Twitter: https://twitter.com/milesward Email: miles@sada.com TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: It seems like there is a new security breach every day. Are you confident that an old SSH key, or a shared admin account, isn't going to come back and bite you? If not, check out Teleport. Teleport is the easiest, most secure way to access all of your infrastructure. The open source Teleport Access Plane consolidates everything you need for secure access to your Linux and Windows servers—and I assure you there is no third option there. Kubernetes clusters, databases, and internal applications like AWS Management Console, Yankins, GitLab, Grafana, Jupyter Notebooks, and more. Teleport's unique approach is not only more secure, it also improves developer productivity. To learn more visit: goteleport.com. And not, that is not me telling you to go away, it is: goteleport.com.Corey: This episode is sponsored in part by our friends at Redis, the company behind the incredibly popular open source database that is not the bind DNS server. If you're tired of managing open source Redis on your own, or you're using one of the vanilla cloud caching services, these folks have you covered with the go to manage Redis service for global caching and primary database capabilities; Redis Enterprise. To learn more and deploy not only a cache but a single operational data platform for one Redis experience, visit redis.com/hero. Thats r-e-d-i-s.com/hero. And my thanks to my friends at Redis for sponsoring my ridiculous non-sense.  Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. I am joined today, once again by my friend and yours, Miles Ward, who's the CTO at SADA. However, he is, as I think of him, the closest thing the Google Cloud world has to Corey Quinn. Now, let's be clear, not the music and dancing part that is Forrest Brazeal, but Forrest works at Google Cloud, whereas Miles is a reasonably salty third-party. Miles, thank you for coming back and letting me subject you to that introduction.Miles: Corey, I appreciate that introduction. I am happy to provide substantial salt. It is easy, as I play brass instruments that produce my spit in high volumes. It's the most disgusting part of any possible introduction. For the folks in the audience, I am surrounded by a collection of giant sousaphones, tubas, trombones, baritones, marching baritones, trumpets, and pocket trumpets.So, Forrest threw down the gauntlet and was like, I can play a keyboard, and sing, and look cute at the same time. And so I decided to fail at all three. We put out a new song just a bit ago that's, like, us thanking all of our customers and partners, covering Kool & the Gang “Celebration,” and I neither look good, [laugh] play piano, or smiling, or [capturing 00:01:46] any of the notes; I just play the bass part, it's all I got to do.Corey: So, one thing that I didn't get to talk a lot about because it's not quite in my universe, for one, and for another, it is during the pre re:Invent—pre:Invent, my nonsense thing—run up, which is Google Cloud Next.Miles: Yes.Corey: And my gag a few years ago is that I'm not saying that Google is more interested in what they're building and what they're shipping, but even their conference is called Next. Buh dum, hiss.Miles: [laugh].Corey: So, I didn't really get to spend a lot of attention on the Google Cloud releases that came out this year, but given that SADA is in fact the, I believe, largest Google Cloud partner on the internet, and thus the world—Miles: [unintelligible 00:02:27] new year, three years in a row back, baby.Corey: Fantastic. I assume someone's watch got stuck or something. But good work. So, you have that bias in the way that I have a bias, which is your business is focused around Google Cloud the way that mine is focused on AWS, but neither of us is particularly beholden to that given company. I mean, you do have the not getting fired as partner, but that's a bit of a heavy lift; I don't think I can mouth off well enough to get you there.So, we have a position of relative independence. So, you were tracking Google Next, the same way that I track re:Invent. Well, not quite the same way I track re:Invent; there are some significant differences. What happened at Cloud Next 2021, that the worst of us should be paying attention to?Miles: Sure. I presented 10% of the material at the first re:Invent. There are 55 sessions; I did six. And so I have been at Cloud events for a really long time and really excited about Google's willingness to dive into demos in a way that I think they have been a little shy about. Kelsey Hightower is the kind of notable deep exception to that. Historically, he's been ready to dive into the, kind of, heavy hands-on piece but—Corey: Wait, those were demos? [Thought 00:03:39] was just playing Tetris on stage for the love of it.Miles: [laugh]. No. And he really codes all that stuff up, him and the whole team.Corey: Oh, absol—I'm sorry. If I ever grow up, I wish to be Kelsey Hightower.Miles: [laugh]. You and me both. So, he had kind of led the charge. We did a couple of fun little demos while I was there, but they've really gotten a lot further into that, and I think are doing a better job of packaging the benefits to not just developers, but also operators and data scientists and the broader roles in the cloud ecosystem from the new features that are being launched. And I think, different than the in-person events where there's 10, 20,000, 40,000 people in the audience paying attention, I think they have to work double-hard to capture attention and get engineers to tune in to what's being launched.But if you squint and look close, there are some, I think, very interesting trends that sit in the back of some of the very first launches in what I think are going to be whole veins of launches from Google over the course of the next several years that we are working really hard to track along with and make sure we're extracting maximum value from for our customers.Corey: So, what was it that they announced that is worth paying attention to? Now, through the cacophony of noise, one announcement that [I want to note 00:04:49] was tied to Next was the announcement that GME group, I believe, is going to be putting their futures exchange core trading systems on Google Cloud. At which point that to me—and I know people are going to yell at me, and I don't even slightly care—that is the last nail in the coffin of the idea that well, Google is going to turn this off in a couple years. Sorry, no. That is not a thing that's going to happen. Worst case, they might just stop investing it as aggressively as they are now, but even that would be just a clown-shoes move that I have a hard time envisioning.Miles: Yeah, you're talking now over a dozen, over ten year, over a billion-dollar commitments. So, you've got to just really, really hate your stock price if you're going to decide to vaporize that much shareholder value, right? I mean, we think that, in Google, stock price is a material fraction of the recognition of the growth trajectory for cloud, which is now basically just third place behind YouTube. And I think you can do the curve math, it's not like it's going to take long.Corey: Right. That requires effectively ejecting Thomas Kurian as the head of Google Cloud and replacing him with the former SVP of Bad Decisions at Yahoo.Miles: [laugh]. Sure. Google has no shyness about continuing to rotate leadership. I was there through three heads of Google Cloud, so I don't expect that Thomas will be the last although I think he may well go down in history as having been the best. The level of rotation to the focuses that I think are most critical, getting enterprise customers happy, successful, committed, building macroscale systems, in systems that are critical to the core of the business on GCP has grown at an incredible rate under his stewardship. So, I think he's doing a great job.Corey: He gets a lot of criticism—often from Googlers—when I wind up getting the real talk from them, which is, “Can you tell me what you really think?” Their answer is, “No,” I'm like, “Okay, next question. Can I go out and buy you eight beers and then”— and it's like, “Yeah.” And the answer that I get pretty commonly is that he's brought too much Oracle into Google. And okay, that sounds like a bad thing because, you know, Oracle, but let's be clear here, but what are you talking about specifically? And what they say distills down to engineers are no longer the end-all be-all of everything that Google Cloud. Engineers don't get to make sales decisions, or marketing decisions, or in some cases, product decisions. And that is not how Google has historically been run, and they don't like the change. I get it, but engineering is not the only hard thing in the world and it's not the only business area that builds value, let's be clear on this. So, I think that the things that they don't like are in fact, what Google absolutely needs.Miles: I think, one, the man is exceptionally intimidating and intentionally just hyper, hyper attentive to his business. So, one of my best employees, Brad [Svee 00:07:44], he worked together with me to lay out what was the book of our whole department, my team of 86 people there. What are we about? What do we do? And like I wanted this as like a memoriam to teach new hires as got brought in. So, this is, like, 38 pages of detail about our process, our hiring method, our promotional approach, all of it. I showed that to my new boss who had come in at the time, and he thought some of the pictures looked good. When we showed it to TK, he read every paragraph. I watched him highlight the paragraphs as he went through, and he read it twice as fast as I can read the thing. I think he does that to everybody's documents, everywhere. So, there's a level of just manual rigor that he's brought to the practice that was certainly not there before that. So, that alone, it can be intimidating for folks, but I think people that are high performance find that very attractive.Corey: Well, from my perspective, he is clearly head and shoulders above Adam Selipsky, and Scott Guthrie—the respective heads of AWS and Azure—for one key reason: He is the only one of those three people who follows me on Twitter. And—Miles: [laugh].Corey: —honestly, that is how I evaluate vendors.Miles: That's the thing. That's the only measure, yep. I've worked on for a long time with Selipsky, and I think that it will be interesting to see whether Adam's approach to capital allocation—where he really, I think, thinks of himself as the manager of thousands of startups, as opposed to a manager of a global business—whether that's a more efficient process for creating value for customers, then, where I think TK is absolutely trying to build a much more unified, much more singular platform. And a bunch of the launches really speak to that, right? So, one of the product announcements that I think is critical is this idea of the global distributed cloud, Google Distributed Cloud.We started with Kubernetes. And then you layer on to that, okay, we'll take care of Kubernetes for you; we call that Anthos. We'll build a bunch of structural controls and features into Anthos to make it so that you can really deal with stuff in a global way. Okay, what does that look like further? How do we get out into edge environments? Out into diverse hardware? How do we partner up with everybody to make sure that, kind of like comparing Apple's approach to Google's approach, you have an Android ecosystem of Kubernetes providers instead of just one place you can buy an outpost. That's generally the idea of GDC. I think that's a spot where you're going to watch Google actually leverage the muscle that it already built in understanding open-source dynamics and understanding collaboration between companies as opposed to feeling like it's got to be built here. We've got to sell it here. It's got to have our brand on it.Corey: I think that there's a stupendous and extreme story that is still unfolding over at Google Cloud. Now, re:Invent this year, they wound up talking all about how what they were rolling out was a focus on improving primitives. And they're right. I love their managed database service that they launched because it didn't exist.Miles: Yeah Werner's slide, “It's primitives, not frameworks.” I was like, I think customers want solutions, not frameworks or primitives. [laugh]. What's your plan?Corey: Yeah. However, I take a different perspective on all of this, which is that is a terrific spin on the big headline launches all missed the re:Invent timeline, and… oops, so now we're just going to talk about these other things instead. And that's great, but then they start talking about industrial IOT, and mainframe migrations, and the idea of private 5G, and running fleets of robots. And it's—Miles: Yeah, that's a cool product.Corey: Which one? I'm sorry, they're all very different things.Miles: Private 5G.Corey: Yeah, if someone someday will explain to me how it differs from Wavelength, but that's neither here nor there. You're right, they're all interesting, but none of them are actually doing the thing that I do, which is build websites, [unintelligible 00:11:31] looking for web services, it kind of says it in the name. And it feels like it's very much broadening into everything, and it's very difficult for me to identify—and if I have trouble that I guarantee you customers do—of, which services are for me and which are very much not? In some cases, the only answer to that is to check the pricing. I thought Kendra, their corporate information search thing was for me, then it's 7500 bucks a month to get started with that thing, and that is, “I can hire an internal corporate librarian to just go and hunt through our Google Drive.” Great.Miles: Yeah.Corey: So, there are—or our Dropbox, or our Slack. We have, like, five different information repositories, and this is how corporate nonsense starts, let me assure you.Miles: Yes. We call that luxury SaaS, you must enjoy your dozens of overlapping bills for, you know, what Workspace gives you as a single flat rate.Corey: Well, we have [unintelligible 00:12:22] a lot of this stuff, too. Google Drive is great, but we use Dropbox for holding anything that touches our customer's billing information, just because I—to be clear, I do not distrust Google, but it also seems a little weird to put the confidential billing information for one of their competitors on there to thing if a customer were to ask about it. So, it's the, like, I don't believe anyone's doing anything nefarious, but let's go ahead and just make sure, in this case.Miles: Go further man. Vimeo runs on GCP. You think YouTube doesn't want to look at Vimeo stats? Like they run everything on GCP, so they have to have arrived at a position of trust somehow. Oh, I know how it's called encryption. You've heard of encryption before? It's the best.Corey: Oh, yes. I love these rumors that crop up every now and again that Amazon is going to start scanning all of its customer content, somehow. It's first, do you have any idea how many compute resources that would take and to if they can actually do that and access something you're storing in there, against their attestations to the contrary, then that's your story because one of them just makes them look bad, the other one utterly destroys their entire business.Miles: Yeah.Corey: I think that that's the one that gets the better clicks. So no, they're not doing that.Miles: No, they're not doing that. Another product launch that I thought was super interesting that describes, let's call it second place—the third place will be the one where we get off into the technical deep end—but there's a whole set of coordinated work they're calling Cortex. So, let's imagine you go to a customer, they say, “I want to understand what's happening with my business.” You go, “Great.” So, you use SAP, right? So, you're a big corporate shop, and that's your infrastructure of choice. There are a bunch of different options at that layer.When you set up SAP, one of the advantages that something like that has is they have, kind of, pre-built configurations for roughly your business, but whatever behaviors SAP doesn't do, right, say, data warehousing, advanced analytics, regression and projection and stuff like that, maybe that's somewhat outside of the core wheelhouse for SAP, you would expect like, oh okay, I'll bolt on BigQuery. I'll build that stuff over there. We'll stream the data between the two. Yeah, I'm off to the races, but the BigQuery side of the house doesn't have this like bitching menu that says, “You're a retailer, and so you probably want to see these 75 KPIs, and you probably want to chew up your SKUs in exactly this way. And here's some presets that make it so that this is operable out of the box.”So, they are doing the three way combination: Consultancies plus ISVs plus Google products, and doing all the pre-work configuration to go out to a customer and go I know what you probably just want. Why don't I just give you the whole thing so that it does the stuff that you want? That I think—if that's the very first one, this little triangle between SAP, and Big Query, and a bunch of consultancies like mine, you have to imagine they go a lot further with that a lot faster, right? I mean, what does that look like when they do it with Epic, when they go do it with Go just generally, when they go do it with Apache? I've heard of that software, right? Like, there's no reason not to bundle up what the obvious choices are for a bunch of these combinations.Corey: The idea of moving up the stack and offering full on solutions, that's what customers actually want. “Well, here's a bunch of things you can do to wind up wiring together to build a solution,” is, “Cool. Then I'm going to go hire a company who's already done that is going to sell it to me at a significant markup because I just don't care.” I pay way more to WP Engine than I would to just run WordPress myself on top of AWS or Google Cloud. In fact, it is on Google Cloud, but okay.Miles: You and me both, man. WP Engine is the best. I—Corey: It's great because—Miles: You're welcome. I designed a bunch of the hosting on the back of that.Corey: Oh, yeah. But it's also the—I—well, it costs a little bit more that way. Yeah, but guess what's not—guess what's more expensive than that bill, is my time spent doing the care and feeding of this stuff. I like giving money to experts and making it their problem.Miles: Yeah. I heard it said best, Lego is an incredible business. I love their product, and you can build almost any toy with it. And they have not displaced all other plastic toy makers.Corey: Right.Miles: Some kids just want to buy a little car. [laugh].Corey: Oh, yeah, you can build anything you want out of Lego bricks, which are great, which absolutely explains why they are a reference AWS customer.Miles: Yeah, they're great. But they didn't beat all other toy companies worldwide, and eliminate the rest of that market because they had the better primitive, right? These other solutions are just as valuable, just as interesting, tend to have much bigger markets. Lego is not the largest toy manufacturer in the world. They are not in the top five of toy manufacturers in the world, right?Like, so chasing that thread, and getting all the way down into the spots where I think many of the cloud providers on their own, internally, had been very uncomfortable. Like, you got to go all the way to building this stuff that they need for that division, inside of that company, in that geo, in that industry? That's maybe, like, a little too far afield. I think Google has a natural advantage in its more partner-oriented approach to create these combinations that lower the cost to them and to customers to getting out of that solution quick.Corey: So, getting into the weeds of Google Next, I suppose, rather than a whole bunch of things that don't seem to apply to anyone except the four or five companies that really could use it, what things did Google release that make the lives of people building, you know, web apps better?Miles: This is the one. So, I'm at Amazon, hanging out as a part of the team that built up the infrastructure for the Obama campaign in 2012, and there are a bunch of Googlers there, and we are fighting with databases. We are fighting so hard, in fact, with RDS that I think we are the only ones that [Raju 00:17:51] has ever allowed to SSH into our RDS instances to screw with them.Corey: Until now, with the advent of RDS Custom, meaning that you can actually get in as root; where that hell that lands between RDS and EC2 is ridiculous. I just know that RDS can now run containers.Miles: Yeah. I know how many things we did in there that were good for us, and how many things we did in there that were bad for us. And I have to imagine, this is not a feature that they really ought to let everybody have, myself included. But I will say that what all of the Googlers that I talk to, you know, at the first blush, were I'm the evil Amazon guy in to, sort of, distract them and make them build a system that, you know, was very reliable and ended up winning an election was that they had a better database, and they had Spanner, and they didn't understand why this whole thing wasn't sitting on Spanner. So, we looked, and I read the white paper, and then I got all drooly, and I was like, yes, that is a much better database than everybody else's database, and I don't understand why everybody else isn't on it. Oh, there's that one reason, but you've heard of it: No other software works with it, anywhere in the world, right? It's utterly proprietary to Google. Yes, they were kind—Corey: Oh, you want to migrate it off somewhere else, or a fraction of it? Great. Step one, redo your data architecture.Miles: Yeah, take all of my software everywhere, rewrite every bit of it. And, oh all those commercial applications? Yeah, forget all those, you got, too. Right? It was very much where Google was eight years ago. So, for me, it was immensely meaningful to see the launch at Next where they described what they are building—and have now built; we have alpha access to it—a Postgres layer for Spanner.Corey: Is that effectively you have to treat it as Postgres at all times, or is it multimodal access?Miles: You can get in and tickle it like Spanner, if you want to tickle it like Spanner. And in reality, Spanner is ANSI SQL compliant; you're still writing SQL, you just don't have to talk to it like a REST endpoint, or a GRPC endpoint, or something; you can, you know, have like a—Corey: So, similar to Azure's Cosmos DB, on some level, except for the part where you can apparently look at other customers' data in that thing?Miles: [laugh]. Exactly. Yeah, you will not have a sweeping discovery of incredible security violations in the structure Spanner, in that it is the control system that Google uses to place every ad, and so it does not suck. You can't put a trillion-dollar business on top of a database and not have it be safe. That's kind of a thing.Corey: The thing that I find is the most interesting area of tech right now is there's been this rise of distributed databases. Yugabyte—or You-ji-byte—Pla-netScale—or PlanetScale, depending on how you pronounce these things.Miles: [laugh]. Yeah, why, why is G such an adversarial consonant? I don't understand why we've all gotten to this place.Corey: Oh, yeah. But at the same time, it's—so you take a look at all these—and they all are speaking Postgres; it is pretty clear that ‘Postgres-squeal' is the thing that is taking over the world as far as databases go. If I were building something from scratch that used—Miles: For folks in the back, that's PostgreSQL, for the rest of us, it's okay, it's going to be, all right.Corey: Same difference. But yeah, it's the thing that is eating the world. Although recently, I've got to say, MongoDB is absolutely stepping up in a bunch of really interesting ways.Miles: I mean, I think the 4.0 release, I'm the guy who wrote the MongoDB on AWS Best Practices white paper, and I would grab a lot of customer's and—Corey: They have to change it since then of, step one: Do not use DocumentDB; if you want to use Mongo, use Mongo.Miles: Yeah, that's right. No, there were a lot of customers I was on the phone with where Mongo had summarily vaporized their data, and I think they have made huge strides in structural reliability over the course of—you know, especially this 4.0 launch, but the last couple of years, for sure.Corey: And with all the people they've been hiring from AWS, it's one of those, “Well, we'll look at this now who's losing important things from production?”Miles: [laugh]. Right? So, maybe there's only actually five humans who know how to do operations, and we just sort of keep moving around these different companies.Corey: That's sort of my assumption on these things. But Postgres, for those who are not looking to depart from the relational model, is eating the world. And—Miles: There's this, like, basic emotional thing. My buddy Martin, who set up MySQL, and took it public, and then promptly got it gobbled up by the Oracle people, like, there was a bet there that said, hey, there's going to be a real open database, and then squish, like, the man came and got it. And so like, if you're going to be an independent, open-source software developer, I think you're probably not pushing your pull requests to our friends at Oracle, that seems weird. So instead, I think Postgres has gobbled up the best minds on that stuff.And it works. It's reliable, it's consistent, and it's functional in all these different, sort of, reapplications and subdivisions, right? I mean, you have to sort of squint real hard, but down there in the guts of Redshift, that's Postgres, right? Like, there's Postgres behind all sorts of stuff. So, as an interface layer, I'm not as interested about how it manages to be successful at bossing around hardware and getting people the zeros and ones that they ask for back in a timely manner.I'm interested in it as a compatibility standard, right? If I have software that says, “I need to have Postgres under here and then it all will work,” that creates this layer of interop that a bunch of other products can use. So, folks like PlanetScale, and Yugabyte can say, “No, no, no, it's cool. We talk Postgres; that'll make it so your application works right. You can bring a SQL alchemy and plug it into this, or whatever your interface layer looks like.”That's the spot where, if I can trade what is a fairly limited global distribution, global transactional management on literally ridiculously unlimited scalability and zero operations, I can handle the hard parts of running a database over to somebody else, but I get my layer, and my software talks to it, I think that's a huge step.Corey: This episode is sponsored in part by my friends at Cloud Academy. Something special just for you folks. If you missed their offer on Black Friday or Cyber Monday or whatever day of the week doing sales it is—good news! They've opened up their Black Friday promotion for a very limited time. Same deal, $100 off a yearly plan, $249 a year for the highest quality cloud and tech skills content. Nobody else can get this because they have a assured me this not going to last for much longer. Go to CloudAcademy.com, hit the "start free trial" button on the homepage, and use the Promo code cloud at checkout. That's c-l-o-u-d, like loud, what I am, with a “C” in front of it. It's a free trial, so you'll get 7 days to try it out to make sure it's really a good fit for you, nothing to lose except your ignorance about cloud. My thanks again for sponsoring my ridiculous nonsense.Corey: I think that there's a strong movement toward building out on something like this. If it works, just because—well, I'm not multiregion today, but I can easily see a world in which I'd want to be. So, great. How do you approach the decision between—once this comes out of alpha; let's be clear. Let's turn this into something that actually ships, and no, Google that does not mean slapping a beta label on it for five years is the answer here; you actually have to stand behind this thing—but once it goes GA—Miles: GA is a good thing.Corey: Yeah. How do you decide between using that, or PlanetScale? Or Yugabyte?Miles: Or Cockroach or or SingleStore, right? I mean, there's a zillion of them that sit in this market. I think the core of the decision making for me is in every team you're looking at what skills do you bring to bear and what problem that you're off to go solve for customers? Do the nuances of these products make it easier to solve? So, I think there are some products that the nature of what you're building isn't all that dependent on one part of the application talking to another one, or an event happening someplace else mattering to an event over here. But some applications, that's, like, utterly critical, like, totally, totally necessary.So, we worked with a bunch of like Forex exchange trading desks that literally turn off 12 hours out of the day because they can only keep it consistent in one geographical location right near the main exchanges in New York. So, that's a place where I go, “Would you like to trade all day?” And they go, “Yes, but I can't because databases.” So, “Awesome. Let's call the folks on the Spanner side. They can solve that problem.”I go, “Would you like to trade all day and rewrite all your software?” And they go, “No.” And I go, “Oh, okay. What about trade all day, but not rewrite all your software?” There we go. Now, we've got a solution to that kind of problem.So like, we built this crazy game, like, totally other end of the ecosystem with the Dragon Ball Z people, hysterical; your like—you literally play like Rock, Paper, Scissors with your phone, and if you get a rock, I throw a fireball, and you get a paper, then I throw a punch, and we figure out who wins. But they can play these games like Europe versus Japan, thousands of people on each side, real-time, and it works.Corey: So, let's be clear, I have lobbied a consistent criticism at Google for a while now, which is the Google Cloud global control plane. So, you wind up with things like global service outages from time to time, you wind up with this thing is now broken for everyone everywhere. And that, for a lot of these use cases, is a problem. And I said that AWS's approach to regional isolation is the right way to do it. And I do stand by that assessment, except for the part where it turns out there's a lot of control plane stuff that winds up single tracking through us-east-1, as we learned in the great us-east-1 outage of 2021.Miles: Yeah, when I see customers move from data center to AWS, what they expect is a higher count of outages that lasts less time. That's the trade off, right? There's going to be more weird spurious stuff, and maybe—maybe—if they're lucky, that outage will be over there at some other region they're not using. I see almost exactly the same promise happening to folks that come from AWS—and in particular from Azure—over onto GCP, which is, there will be probably a higher frequency of outages at a per product level, right? So, like sometimes, like, some weird product takes a screw sideways, where there is structural interdependence between quite a few products—we actually published a whole internal structural map of like, you know, it turns out that Cloud SQL runs on top of GCE not on GKE, so you can expect if GKE goes sideways, Cloud SQL is probably not going to go sideways; the two aren't dependent on each other.Corey: You take the status page and Amazon FreeRTOS in a region is having an outage today or something like that. You're like, “Oh, no. That's terrible. First, let me go look up what the hell that is.” And I'm not using it? Absolutely not. Great. As hyperscalers, well, hyperscale, they're always things that are broken in different ways, in different locations, and if you had a truly accurate status page, it would all be red all the time, or varying shades of red, which is not helpful. So, I understand the challenge there, but very often, it's a partition that is you are not exposed to, or the way that you've architected things, ideally, means it doesn't really matter. And that is a good thing. So, raw outage counts don't solve that. I also maintain that if I were to run in a single region of AWS or even a single AZ, in all likelihood, I will have a significantly better uptime across the board than I would if I ran it myself. Because—Miles: Oh, for sure.Corey: —it is—Miles: For sure they're way better at ops than you are. Me, right?Corey: Of course.Miles: Right? Like, ridiculous.Corey: And they got that way, by learning. Like, I think in 2022, it is unlikely that there's going to be an outage in an AWS availability zone by someone tripping over a power cable, whereas I have actually done that. So, there's a—to be clear in a data center, not an AWS facility; that would not have flown. So, there is the better idea of of going in that direction. But the things like Route 53 is control plane single-tracking through the us-east-1, if you can't make DNS changes in an outage scenario, you may as well not have a DR plan, for most use cases.Miles: To be really clear, it was a part of the internal documentation on the AWS side that we would share with customers to be absolutely explicit with them. It's not just that there are mistakes and accidents which we try to limit to AZs, but no, go further, that we may intentionally cause outages to AZs if that's what allows us to keep broader service health higher, right? They are not just a blast radius because you, oops, pulled the pin on the grenade; they can actually intentionally step on the off button. And that's different than the way Google operates. They think of each of the AZs, and each of the regions, and the global system as an always-on, all the time environment, and they do not have systems where one gets, sort of, sacrificed for the benefit of the rest, right, or they will intentionally plan to take a system offline.There is no planned downtime in the SLA, where the SLAs from my friends at Amazon and Azure are explicit to, if they choose to, they decide to take it offline, they can. Now, that's—I don't know, I kind of want the contract that has the other thing where you don't get that.Corey: I don't know what the right answer is for a lot of these things. I think multi-cloud is dumb. I think that the idea of having this workload that you're going to seamlessly deploy to two providers in case of an outage, well guess what? The orchestration between those two providers is going to cause you more outages than you would take just sticking on one. And in most cases, unless you are able to have complete duplication of not just functionality but capacity between those two, congratulations, you've now just doubled your number of single points of failure, you made the problem actively worse and more expensive. Good job.Miles: I wrote an article about this, and I think it's important to differentiate between dumb and terrifyingly shockingly expensive, right? So, I have a bunch of customers who I would characterize as rich, as like, shockingly rich, as producing businesses that have 80-plus percent gross margins. And for them, the costs associated with this stuff are utterly rational, and they take on that work, and they are seeing benefits, or they wouldn't be doing it.Corey: Of course.Miles: So, I think their trajectory in technology—you know, this is a quote from a Google engineer—it's just like, “Oh, you want to see what the future looks like? Hang out with rich people.” I went into houses when I was a little kid that had whole-home automation. I couldn't afford them; my mom was cleaning house there, but now my house, I can use my phone to turn on the lights. Like—Corey: You know, unless us-east-1 is having a problem.Miles: Hey, and then no Roomba for you, right? Like utterly offline. So—Corey: Roomba has now failed to room.Miles: Conveniently, my lights are Philips Hue, and that's on Google, so that baby works. But it is definitely a spot where the barrier of entry and the level of complexity required is going down over time. And it is definitely a horrible choice for 99% of the companies that are out there right now. But next year, it'll be 98. And the year after that, it'll probably be 97. [laugh].And if I go inside of Amazon's data centers, there's not one manufacturer of hard drives, there's a bunch. So, that got so easy that now, of course you use more than one; you got to do—that's just like, sort of, a natural thing, right? These technologies, it'll move over time. We just aren't there yet for the vast, vast majority of workloads.Corey: I hope that in the future, this stuff becomes easier, but data transfer fees are going to continue to be a concern—Miles: Just—[makes explosion noise]—Corey: Oh, man—Miles: —like, right in the face.Corey: —especially with the Cambrian explosion of data because the data science folks have successfully convinced the entire industry that there's value in those mode balancer logs in 2012. Okay, great. We're never deleting anything again, but now you've got to replicate all of that stuff because no one has a decent handle on lifecycle management and won't for the foreseeable future. Great, to multiple providers so that you can work on these things? Like, that is incredibly expensive.Miles: Yeah. Cool tech, from this announcement at Next that I think is very applicable, and recognized the level of like, utter technical mastery—and security mastery to our earlier conversation—that something like this requires, the product is called BigQuery Omni, what Omni allows you to do is go into the Google Cloud Console, go to BigQuery, say I want to do analysis on this data that's in S3, or in Azure Blob Storage, Google will spin up an account on your behalf on Amazon and Azure, and run the compute there for you, bring the result back. So, just transfer the answers, not the raw data that you just scanned, and no work on your part, no management, no crapola. So, there's like—that's multi-cloud. If I've got—I can do a join between a bunch of rows that are in real BigQuery over on GCP side and rows that are over there in S3. The cross-eyedness of getting something like that to work is mind blowing.Corey: To give this a little more context, just because it gets difficult to reason about these things, I can either have data that is in a private subnet in AWS that traverses their horribly priced Managed NAT Gateways, and then goes out to the internet and sent there once, for the same cost as I could take that same data and store it in S3 in their standard tier for just shy of six full months. That's a little imbalanced, if we're being direct here. And then when you add in things like intelligent tiering and archive access classes, that becomes something that… there's no contest there. It's, if we're talking about things that are now approaching exabyte scale, that's one of those, “Yeah, do you want us to pay by a credit card?”—get serious. You can't at that scale anyway—“Invoice billing, or do we just, like, drive a dump truck full of gold bricks and drop them off in Seattle?”Miles: Sure. Same trajectory, on the multi-cloud thing. So, like a partner of ours, PacketFabric, you know, if you're a big, big company, you go out and you call Amazon and you buy 100 gigabit interconnect on—I think they call theirs Direct Connect, and then you hook that up to the Google one that's called Dedicated Interconnect. And voila, the price goes from twelve cents a gig down to two cents a gig; everybody's much happier. But Jesus, you pay the upfront for that, you got to set the thing up, it takes days to get deployed, and now you're culpable for the whole pipe if you don't use it up. Like, there are charges that are static over the course of the month.So, PacketFabric just buys one of those and lets you rent a slice of it you need. And I think they've got an incredible product. We're working with them on a whole bunch of different projects. But I also expect—like, there's no reason the cloud providers shouldn't be working hard to vend that kind of solution over time. If a hundred gigabit is where it is now, what does it look like when I get to ten gigabit? When I get to one gigabit? When I get to half gigabit? You know, utility price that for us so that we get to rational pricing.I think there's a bunch of baked-in business and cost logic that is a part of the pricing system, where egress is the source of all of the funding at Amazon for internal networking, right? I don't pay anything for the switches that connect to this machine to that machine, in region. It's not like those things are cheap or free; they have to be there. But the funding for that comes from egress. So, I think you're going to end up seeing a different model where you'll maybe have different approaches to egress pricing, but you'll be paying like an in-system networking fee.And I think folks will be surprised at how big that fee likely is because of the cost of the level of networking infrastructure that the providers deploy, right? I mean, like, I don't know, if you've gone and tried to buy a 40 port, 40 gig switch anytime recently. It's not like they're those little, you know, blue Netgear ones for 90 bucks.Corey: Exactly. It becomes this, [sigh] I don't know, I keep thinking that's not the right answer, but part of it also is like, well, you know, for things that I really need local and don't want to worry about if the internet's melting today, I kind of just want to get, like, some kind of Raspberry Pi shoved under my desk for some reason.Miles: Yeah. I think there is a lot where as more and more businesses bet bigger and bigger slices of the farm on this kind of thing, I think it's Jassy's line that you're, you know, the fat in the margin in your business is my opportunity. Like, there's a whole ecosystem of partners and competitors that are hunting all of those opportunities. I think that pressure can only be good for customers.Corey: Miles, thank you for taking the time to speak with me. If people want to learn more about you, what you're up to, your bad opinions, your ridiculous company, et cetera—Miles: [laugh].Corey: —where can they find you?Miles: Well, it's really easy to spell: SADA.com, S-A-D-A dot com. I'm Miles Ward, it's @milesward on Twitter; you don't have to do too hard of a math. It's miles@sada.com, if you want to send me an email. It's real straightforward. So, eager to reach out, happy to help. We've got a bunch of engineers that like helping people move from Amazon to GCP. So, let us know.Corey: Excellent. And we will, of course, put links to this in the [show notes 00:37:17] because that's how we roll.Miles: Yay.Corey: Thanks so much for being so generous with your time, and I look forward to seeing what comes out next year from these various cloud companies.Miles: Oh, I know some of them already, and they're good. Oh, they're super good.Corey: This is why I don't do predictions because like, the stuff that I know about, like, for example, I was I was aware of the Graviton 3 was coming—Miles: Sure.Corey: —and it turns out that if your—guess what's going to come up and you don't name Graviton 3, it's like, “Are you simple? Did you not see that one coming?” It's like—or if I don't know it's coming and I make that guess—which is not the hardest thing in the world—someone would think I knew and leaked. There's no benefit to doing predictions.Miles: No. It's very tough, very happy to do predictions in private, for customers. [laugh].Corey: Absolutely. Thanks again for your time. I appreciate it.Miles: Cheers.Corey: Myles Ward, CTO at SADA. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice and be very angry in your opinion when you write that obnoxious comment, but then it's going to get lost because it's using MySQL instead of Postgres.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

Original blog post.More episodes at feeds.transistor.fm/google-cloud-readerMore articles at cloud.google.com/blog

Original blog post.Check out the documentationMore episodes at feeds.transistor.fm/google-cloud-readerMore articles at cloud.google.com/blog

Original blog post.Blog:the value of managed database servicesMore episodes at feeds.transistor.fm/google-cloud-readerMore articles at cloud.google.com/blog

Mark Mirchandani and Brian Dorsey are together again this week for an episode all about cloud migration using Txture and Accenture. Our guests Matthias Farwick of Txture, Patrick Niesel of Accenture, and Jason Purvor of Google help us understand their roles in cloud migration with some formal introductions to start the show. Txture helps companies assess their migration capabilities, providing insights to what will be necessary in the process and how viable cloud migration is as an option. Accenture works with Txture to augment the planning of migration strategies for clients. Jason helps us understand how Google uses the information gleaned from these assessments to help customers understand what the journey to Google Cloud will look like for their business. Txture provides good data which helps Google and clients make better decisions, not just in migration, but for the future health of the project while operating in the cloud. Our guests share the challenges of cloud migration and detail how these three powerhouse companies work together to overcome hurdles. From information gathering and budgeting to security and implementation, Txture, Accenture, and Google help companies understand their specific obstacles and develop a plan. Matthias uses a large banking client as an example to walk our listeners through a typical cloud migration process that takes advantage of Txture, Accenture, and Google. Jason details the process customers go through with Google as they establish their cloud environments and make decisions about the future of their projects. Through the analysis of four layers, Google helps customers think through this highly technical and involved migration process. Matthias describes the three assessment steps Txture applies to the process as well, and how these multiple-company analyses work together to create a solid cloud project now and continue to improve the project in the future. Matthias, Patrick, and Jason offer advice for companies considering a shift to the cloud, stressing the importance of preparing good data and keeping time predictions realistic. Company-wide cooperation is an important tool in the success of a cloud migration as well. Matthias Farwick Matthias Farwick co-founded Txture, a software for large scale cloud application assessments and modernization programs that is currently expanding to the US. Matthias is an avid mountaineer and skier. Patrick Niesel Patrick Niesel has been working within Accenture focusing on cloud transformations and in particular on application assessments. Jason Purvor Jason Purvor is a data centre exit strategist engaged in large scale migrations and “all in” transformations. He formerly ran CloudPhysics EMEA supporting Googlers with high resolution data center assessments. Cool things of the week What is Cloud SQL? blog Save money and time with automated VM management and suspend/resume blog Cost optimization using automated VM management docs Interview Txture site Accenture site Cloud Insider site Txture Cloud Transformation site Data Centre Transformation with Google site Cloud Maturity Assessment site Google Cloud Adoption Framework whitepaper Accenture-Google Business Group site The Txture Cloud Transformation Platform site Cloud Center of Excellence blog The 6Rs of Cloud Transformation blog Cloud-to-Cloud Assessment blog What’s something cool you’re working on? Brian is working on a video series called VM End to End with Carter Morgan.

On The Cloud Pod this week, AWS releases new features including Managed Grafana, GCP Serverless solves the cold start problem, and Wiz hacks into CosmosDB. A big thanks to this week's sponsors: Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. JumpCloud, which offers a complete platform for identity, access, and device management — no matter where your users and devices are located.  This week's highlights

The adoption of cloud databases is accelerating, driven by business transformation and the need for database modernization. In this episode of the Cloud Database Report Podcast, founding editor John Foley talks with Andi Gutmans, Google Cloud's GM and VP of Engineering for Databases, about the platforms and technologies that organizations are using to build and manage these new data environments. Gutmans is responsible for development of Google Cloud's databases and related technologies, including Bigtable, Cloud SQL, Spanner, and Firestore. In this conversation, he discusses the three steps of cloud database adoption: migration, modernization, and transformation. "We're definitely seeing a tremendous acceleration," he says. Gutmans talks about the different types of database migrations, from "homogenous" migrations that are relatively fast and simple to more complex ones that involve different database sources and target platforms. He reviews the tools and services available to help with the process, including Google Cloud's Database Migration Service and Datastream for change data capture. Gutmans provides an overview of the "data cloud" model as a comprehensive data environment that connects multiple databases and reduces the need for organizations to build their own plumbing. Data clouds can "democratize" data while providing security and governance. Looking ahead, Google Cloud will continue to focus on database migrations, developing new enterprise capabilities, and providing a better experience for developers. 

Brian Dorsey and Mark Mirchandani are talking intro to Firestore this week with fellow Googler Allison Kornher. Allison, a Cloud Technical Resident, starts the show telling us about the program and how it brought her to Firestore. Allison takes us through the differences between SQL and NoSQL databases and describes the four categories of NoSQL databases: family, document, key value, and graph. Firestore is a scalable, flexible NoSQL document database. To illustrate the uses and benefits of Firestore, Allison walks us through a delicious pizza example. Each document in the database belongs to a collection, which is used to organize these documents. Firestore documents are assigned an identifier and can be quickly changed and called within their collections. Because these documents are stored in an implicit schema in key value pairs, developers have control over the details of database organization and data change and growth are easy to manage. The availability of subcollections further adds to the flexibility of Firestore database design. Choosing a database type will depend on the situation, and Allison suggests this starts with a look at CAP theorem. If a document database is your database of choice, Allison gives our listeners tips for getting started with Firestore and clearing any hurdles along the way. Allison Kornher Allison is a Cloud Technical Resident and has worked helping startups looking to join GCP and in the Premium Tier Cloud Support organization with a focus on Storage. Cool things of the week BigQuery admin reference guide: Tables & routines blog Top 25 Google Search terms, now in BigQuery blog Three security and scalability improvements for Cloud SQL for SQL Server blog GCP Podcast Episode 247: Cloud SQL Insights with Nimesh Bhagat podcast GCP Podcast Episode 163: Cloud SQL with Amy Krishnamohan podcast Interview Cloud Firestore site Cloud Firestore Documentation docs Cloud Firestore explained: for users who never used Firestore before blog Gabi on Twitter site Datastore site BigTable site Firebase Realtime Database site Memorystore site Cloud Spanner site GCP Podcast Episode 248: Cloud Spanner Revisited with Dilraj Kaur and Christoph Bussler podcast All you need to know about Firestore: A cheatsheet blog What’s something cool you’re working on? Brian has been working on sharing a persistent disk between Google Compute Engine VMs. Cloud Storage site Cloud Filestore site Cloud SQL site

On The Cloud Pod this week, with the first half of the year full of less-than-ideal events, the team is looking forward to another next six months of less-than-ideal events. Also, everyone is excited to see how they can manipulate the AWS BugBust Challenge for a free ticket to re:Invent.            A big thanks to this week's sponsors: Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. JumpCloud, which offers a complete platform for identity, access, and device management — no matter where your users and devices are located.  This week's highlights AWS launches the BugBust Challenge in the hopes of finding and fixing 1 million bugs. The challenge aims to help developers improve code quality, eliminate bugs and boost application performance while saving millions of dollars in application resource costs. Google has announced new features for Cloud Monitoring Grafana plugins. The new features include popular dashboard samples, more effective troubleshooting with deep links, better visualizations through precalculated metrics and more powerful analysis capabilities.   Azure VM Image Builder service is now generally available. Image Builder will make it easier to build custom Linux or Windows virtual machine images. Amazon Web Services: Does Not Have Bugs  AWS announces the world's first global competition to find and fix 1 million software bugs. We don't think they're referring to Amazon bugs, just software bugs in general. AWS launches customized images for Amazon EMR on Amazon Elastic Kubernetes Service. If you're looking to reduce the time it takes to build images, that's a good thing: otherwise it's a fully managed service, so we're not sure that users will care.     Amazon announces new Java Detectors and CI/CD Integration with GitHub Actions for CodeGuru Reviewer. We're amazed by how quickly GitHub Actions is being adopted.      AWS acquires communication technology company Wickr. We want to know why Amazon is buying this: maybe they're trying to enhance their enterprise and public sector application suites.  AWS now supports container images to simplify continuous integration tasks. Continuing to build the ecosystem around serverless applications is a smart move by AWS.    Google Cloud Platform: Smart Player Google announces that a new public dataset for Google Trends is now available for preview. This is really cool.    Google introduces a new Tau VM family that extends Compute Engine's VM offerings. If you're using some of the older VM classes, this is a reminder to check out the new ones that could save you money.     Google announces a new version of Transfer Appliance for the US, EU and Singapore regions. It's new and improved — they just haven't told us how.         Google announces new features for Cloud Monitoring Grafana plugins. Grafana is one of our favourite visualization tools so this is great.   Google launches three security and scalability improvements for Cloud SQL for SQL Server. This is a smart play: these  capabilities will help differentiate Google's product offering through improved performance.     Azure: Gives You Ingestion Azure introduces the Ingestion Client for Azure Speech. Getting a full-blown scalable and secure transcription pipeline is great, but we really don't like the name.    Azure VM image builder service is now generally available. We've found a customer who is able to pay Hashicorp to update to Go.      Azure has built a cloud adoption framework for retail. We hope they extend this beyond the Azure lens: it should tie back into the much larger digital transformation story for the sector.  Azure has partnered with Red Hat to offer Red Hat JBoss EAP on the Azure App Service. It's nice to see digital app services available from Microsoft.    TCP Lightning Round Justin stuns everyone with his multimedia power move so takes this week's point, leaving scores at Justin (11), Ryan (5), Jonathan (8), Peter (1).  Other Headlines Mentioned: Expansion of the public preview of on-demand disk bursting for Premium SSD to more regions AWS DevOps Monitoring Dashboard solution v1.1 adds support for AWS CodeBuild and AWS CodePipeline related metrics CloudWatch adds 14 new Metric math functions Amazon DocumentDB (with MongoDB compatibility) Now Supports r5.8xlarge and r5.16xlarge Instances Configure GitHub Actions workflows with a new GitHub Action for building serverless applications AWS Control Tower announces accessibility, console and performance improvements AWS Client VPN launches desktop client for Linux  AWS Lambda now supports SASL/PLAIN authentication for functions triggered from self-managed Apache Kafka Google joins the O-RAN Alliance to advance telecommunication networks  Things Coming Up Announcing Google Cloud 2021 Summits [frequently updated] State of FinOps Update — July 8 (virtual) Amazon re:Inforce — August 24–25 — Houston, TX Google Cloud Next 2021 — October 12–14, 2021 AWS re:Invent — November 29–December 3 — Las Vegas Oracle Open World (no details yet) 

This week on The Cloud Pod, apparently there was a machine learning conference because there is A LOT of machine learning news. For the listeners (and hosts of The Cloud Pod) who don't understand machine learning, buckle up because this will be a long episode for you.     A big thanks to this week's sponsors: Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning, and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights Amazon is acting like it's helping but really it's lying with numbers. Google is pretending the 1991 Ford Fiesta it's selling is a 2021 Mustang.  Azure got a little overexcited with the use of its naming bot. General News: Fake It Until You Make It Amazon data shows more diversity among senior leaders after the definition of “executive” loosened. Well, that's one way to do it.    Amazon's Andy Jassy is warming up for the CEO role. We hope competitors don't expect him to tread softly when he starts.   Pluralsight will acquire A Cloud Guru to address growing cloud skills gap. This is earth-shattering. Amazon Web Services: Busy As Usual Amazon Redshift Machine Learning is now generally available. There's a helpful table to explain the different machine learning products.  Amazon ECS Anywhere is now generally available. A bit disappointed that they haven't addressed the networking issue more. Introducing Amazon Kinesis Data Analytics Studio for analyzing streaming data. They're really into studios at the moment. Amazon SQS now supports a high throughput mode for FIFO Queues. This is nice.  Amazon Location Service is now generally available with new routing and satellite imagery capabilities. Just so you don't run your truck under a bridge that's too low.       Google Cloud Platform: Not A Robot In Disguise New Cloud TPU VMs make training machine learning models on TPUs easier. We told you this would be a long episode.  Google releases Log Field Analytics in Cloud Logging, a new way to search, filter and understand the structure of logs. This will make all those angry executives happy.   Google announces the generally availability of Datashare for Financial Services. Same product, different press release. Google introduces Analytics Hub, secure and scalable sharing for data and analytics.   Google announces Datastream, a serverless change data capture and replication service, is now in preview. Pretty nice feature!  Google is releasing logical replication and decoding for Cloud SQL for Postgres in Preview. A no-brainer.   Google releases Data Flow Prime, a new platform to simplify big data processing. No relation to Optimus Prime, just in case you were wondering. Google announces Dataplex in Preview, an intelligent data fabric for analytics at scale. Nice!    Azure: Crazy Naming Bot Azure has announced the general availability of its Azure ND A100 V4 Cloud GPU instances. Someone is excited about this.  Azure announces Synapse Link for Dataverse for application data analytics and predictive insights. The naming bot has gone crazy with this one.   Azure announces new infrastructure capabilities to simplify deployment and management. You can picture The Cloud Pod team flexing their muscles, can't you.    TCP Lightning Round Ryan wants to fight to the death but the others don't want to get blood on the carpet so he takes this week's point, leaving scores at Justin (9), Ryan (5), Jonathan (7).  Other headlines mentioned: Amazon QLDB supports IAM-based access policy for PartiQL queries and ledger tables  Announcing Amazon CloudWatch Resource Health Amazon SageMaker Autopilot adds automatic cross validation to improve model quality on smaller datasets by up to 35% AWS Launch Wizard adds support for SQL Server Always On Failover Cluster Instances deployed on Amazon FSx for Windows File Server Introducing AWS App Runner Integration in the AWS Toolkit for JetBrains IDEs AWS Glue DataBrew adds new nest and unnest transformations AWS Security Hub now supports bidirectional integration with Atlassian Jira Service Management   Amazon API Gateway now supports synchronous invocations of Express Workflows using REST APIs Amazon CloudWatch adds Control Plane API Usage Metrics across AWS Services  Cloud Bigtable lifts SLA to 99.999% and adds new security features for regulated industries Cloud Spanner trims entry cost by 90%, offers sharper observability and easier querying  Things Coming Up Announcing Google Cloud 2021 Summits [frequently updated] Harness Unscripted Conference — June 16–17 Google Cloud Next — Not announced yet (one site says Moscone is reserved June 28–30) Amazon re:Inforce — August 24-25 — Houston, TX Google Cloud Next 2021 — October 12–14, 2021 AWS re:Invent — November 29–December 3 — Las Vegas Oracle Open World (no details yet) 

Stephanie Wong and cohost Gabi Ferrara talk about the exciting launch of Database Migration Service at Google. Our guests this week, Shachar Guz and Gabe Weiss, start the show explaining DMS, focusing on the ease of infrastructure management for cloud users. Migration is made simpler with DMS, and Shachar and Gabe walk us through the process of using this powerful new service. Our guests outline some hurdles to migration and how DMS and the DMS documentation help developers overcome them. Shacher tells us the steps companies should take before and after running DMS to ensure projects run correctly and business logic is preserved as well, and Gabe stresses the importance of testing. Database Migration Service focuses on open source, and we talk about why this is an important benefit. In addition, the thorough explanations embedded in DMS help users navigate easily, serverless technology means projects are fast and efficient, and native applications are leveraged for better transparency. And it’s free. Shachar Guz Shachar is a product manager at Google Cloud, he works on the Cloud Database Migration Service. Shachar worked in various product and engineering roles and shares a true passion about data and helping customers get the most out of their data. Shachar is passionate about building products that make cumbersome processes simple and straightforward and helping companies adopt Cloud technologies to accelerate their business. Gabe Weiss Gabe works on the Google Cloud Platform team ensuring that developers can make awesome things, both inside and outside of Google. Prior to Google he’s worked in virtual reality production and distribution, source control, the games industry and professional acting. Cool things of the week Unlock the power of change data capture and replication with new, serverless Datastream blog Introducing Dataplex—an intelligent data fabric for analytics at scale blog Data Cloud Summit site Google Cloud’s New 2021 Analytics Launches video Bringing multi-cloud analytics to your data with BigQuery Omni blog Applied ML Summit site Interview Database Migration Service site DMS Documentation docs Cloud SQL site Network Intelligence Center site Introducing Database Migration Service video Best practices for homogeneous database migrations blog Database Migration Service Connectivity—A technical introspective blog Migrating MySQL data to Cloud SQL using Database Migration Service Qwiklab site What’s something cool you’re working on? Gabbi is going to CrimeCon for fun!

On The Cloud Pod this week, the team is feeling nostalgic and a little nerdy, as you can see from the show title — a throwback to Serial Console and its ability to add a ton of characters when you didn't want it to.  A big thanks to this week's sponsors: Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud, and Azure. This week's highlights Amazon should be singing a different tune. Google has astonished us all by actually sharing something interesting. Azure is the strict school principal that just canceled lunch.  General News: Justin Said It First  VentureBeat predicts industry clouds could be the next big thing. Justin will take the royalties check anytime, VentureBeat. Amazon Web Services: Please Don't Keep It To Yourself Red Hat OpenShift Service on AWS is now generally available. Surprising because we don't remember it going into beta. AWS Distro for OpenTelemetry adds StatsD and Java support. We're glad to see the continued investment in OpenTelemetry.  AWS DevOps Monitoring Dashboard solution is now generally available. The solutions library is a Rube Goldberg machine.  Amazon Lookout for Metrics is now generally available — perfect for Ryan, who has no machine learning experience.  Amazon Elasticsearch Service announces a new Auto-Tune feature for improved performance and application availability. We wish Amazon would open source this. AWS SSO credential profile support is now available in the AWS Toolkit for VS Code. Thank you, Jesus. Amazon is developing a chip to power the hardware switches that shuttle data around networks. Apparently Google and Apple are also doing this. Troubleshoot boot and networking issues with new EC2 Serial Console. Must be useful for someone, maybe the people using enclaves?   Google Cloud Platform: Blame Active Directory Google wants customers to rethink their cloud migration strategy. Actually quite an interesting blog post — no, this is not sarcasm!   Google BigQuery was named a leader in the 2021 Forrester Wave: Cloud Data Warehouse. We actually agree with this; it really is a great product.   Google announces Cloud SQL for SQL Server now comes with Active Directory authentication. Helpful only if you are on GCP Active Directory.    Azure: Pay To Play Azure has released several new compliance management capabilities to the Azure Security Center. We think this is really, really cool. Microsoft named a leader in the 2021 Forrester Wave: Function-as-a-Service Platforms. Congratulations to Microsoft.   TCP Lightning Round Justin cuts through the awkward silence and takes this week's point, leaving scores at Justin (4), Ryan (3), Jonathan (5).  Other headlines mentioned: Backup for Azure Managed Disk is now generally available Amazon EKS now supports Elastic Fabric Adapter Amazon WorkDocs offers additional sharing controls throughout its Android app Amazon SageMaker now supports private Docker registry authentication Amazon API Gateway now provides IAM condition keys for governing endpoint, authorization and logging configurations   Amazon Timestream now supports Amazon VPC endpoints Create forecasting systems faster with automated workflows and notifications in Amazon Forecast  AWS Config adds pagination support for advanced queries that contain aggregate functions AWS WAF adds support for Request Header Insertion  Amazon DocumentDB (with MongoDB compatibility) now supports Event Subscriptions Announcing AWS Step Functions' integration with Amazon EMR on EKS Amazon EMR now supports Amazon EC2 Instance Metadata Service v2 AWS Security Hub integrates with Amazon Macie to automatically ingest sensitive data findings for improved centralized security posture management   Amazon SageMaker Autopilot adds Model Explainability  Things Coming Up Public Sector Summit Online — April 15–16 Discover cloud storage solutions at Azure Storage Day — April 29 AWS Regional Summits — May 10–19 AWS Summit Online Americas — May 12–13 Microsoft Build — May 19–21 (Digital) Google Financial Services Summit — May 27th  Harness Unscripted Conference — June 16–17 Google Cloud Next — Not announced yet (one site says Moscone is reserved June 28–30) Google Cloud Next 2021 — October 12–14, 2021 AWS re:Invent — November 29–December 3 — Las Vegas Oracle Open World (no details yet) 

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.

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

Estamos en una nueva temporada esta vez hablando de Google Cloud Platform. En este episodio hablo sobre Cloud SQL . En qué consiste este servicio, sus componentes y buenas prácticas. Recuerda compartir si crees en la comunidad.

This week, Mark Mirchandani and Priyanka Vergadia learn all about Cloud Audit Logging with fellow Googlers Philip O’Toole and Oscar Guerrero. Our guests explain the importance of Cloud Audit Logs to keep track of your GCP resources so you know who, what, where, and when things were done. Our guests explain the types of logs GCP offers and why each is important for security. The interview continues with a discussion the various other benefits of audit logging, including proof of compliance and measuring of risk. Because audit logs have the ability to create more data than some businesses can use, Philip and Oscar help our listeners understand how to choose the correct logging services for their needs, and we learn how Cloud Logging can help users digest their data. Philip describes how audit logs and event driven systems can benefit businesses, explaining how event driven systems can be built and pushed with GCP. Oscar continues the conversation with audit logging in G Suite. The Cloud Logging team is continuing to expand offerings, so be on the lookout! Philip O’Toole Philip O’Toole is an Engineering Manager at Google Pittsburgh, leading development teams working on GCP’s Cloud Logging Platform, including Audit Logging. Prior to Google, he led development teams at InfluxDB, Loggly, and Riverbed Technology. You can find him on the web. Oscar Guerrero Oscar Guerrero is a Product Manager at Google New York, focused on Data Privacy and Compliance, in particular Audit Logging. Prior to Google, he consulted on Cloud based Financial Risk systems and was a Program Manager at Microsoft in Commerce, Xbox, and Cloud Recommendations. Cool things of the week The new Google Cloud region in Jakarta is now open blog Cloud SQL database instances now discounted blog Beyond Your Bill videos Understanding and analyzing your committed use discounts video Now available: Next OnAir ‘20 schedule, sessions, learning, and resources blog Interview Cloud Audit Logs site Cloud Audit Logs Documentation site Cloud Logging site Cloud Logging Documentation site BigQuery site Google Cloud Storage site Operations (formerly Stackdriver) site Chronicle site Splunk site G Suite audit logging information guide Google G Suite to Splunk HEC Configuration blog Anthos site Tip of the week This week, we have a tip from our Customer Engineering friend, Anthony Bushong, about audit logging in Kubernetes. You can find great documentation on this here and here. What’s something cool you’re working on? Cloud Bytes launched on Sunday and the 2nd episode of the Drawing Board launched late last week! Continuing to work on these.

Josh Brown, Developer Advocate at Spotify, is on the podcast this week with your hosts Mark and Brian. Working in the Open Developer Platform department, Josh supports third-party developers as they create music experiences for users using the Spotify APIs and SDKs. The most popular of these, the Spotify Web API, lets developers access metadata about music and facilitates library management for users. We talk later in the episode about the types of applications developers are creating using the Spotify Web API and how it’s changing the way people listen. Using developer feedback, Spotify has continued to improve on the API, now offering podcast support, for example. With the new podcast support, hobby developers especially are developing apps that make podcast listening easier and more social. To create these open platform APIs, Josh tells us they relied heavily on Google Cloud products like GKE and Cloud Storage. To manage the GCP products they use, Spotify created an internal portal called Backstage. Independent developers are encouraged to make use of Backstage to help with their Spotify projects as well. Josh wraps up the episode explaining the lessons learned in creating these APIs and how developer feedback became so important for them. Josh Brown Josh Brown is a developer advocate for Spotify, focusing on APIs. In his spare time, Josh enjoys running and writing. Cool things of the week Google Cloud training available at no cost for 30 days blog Cost optimization for serverless workloads blog Understanding forwarding, peering, and private zones in Cloud DNS blog Stephanie Wong’s video series on networking videos Stephanie Wong’s blog on Medium blog Interview Spotify site Backstage site Spotify for Developers site Spotify Community site Spotify Web API site Search, browse and follow podcasts using the new Podcast APIs news Kubernetes site GKE site Cloud SQL site Google Cloud Storage site Spotify Platform Documentation site Adopting Kubernetes with Spotify - Stack Chat video Updates on future Spotify events twitter Question of the week Podcasts and hosting static files: how does the GC Podcast do it? Cloud Storage of course! GC Podcast on GitHub. What’s something cool you’re working on? The Google Cloud livestreams we talked about a few weeks ago have expanded into a new Meetup group!

Our guests Justin Lerma and Pathik Sharma join Brian and Mark this week to talk cost optimization techniques for internet projects. Justin and Pathik, both of the Professional Services Organization, work to help customers get the most out of GCP while maintaining their project budgets. They help customers take business success metrics and track them from a cost perspective, allowing the client to get an understanding of how much each business goal actually costs, rather than an aggregate of how much has been spent in total. This information is used to tailor GCP product usage and cost optimization to each client project. Pathik explains how the Recommender API can help with VM usage by suggesting shrinking or removing a VM altogether for cost savings. With thorough analysis, clients can also benefit from cost savings by paying for longterm usage of GCP products rather than month-to-month. For storage and analysis, BigQuery can offer better performance at a lower cost with partitioning and clustering. Throughout the episode, Justin and Pathik offer up other tips and tricks to help our listeners save money with GCP, as well as suggested reading materials, videos, and labs to get you started on your cost optimization adventure. Pathik Sharma Pathik Sharma is a Technical Account Manager with Google Cloud, focusing on proactively guiding enterprise customers to operate effectively and efficiently in the cloud. He loves helping customers to maximize their business value by optimizing their cloud spend.  Justin Lerma Justin Lerma is a Technical Account Manager with Google Cloud. He has a passion for sharing best practices in operational efficiency as it allows for the proliferation of more experimentation and breeds new ideas. Cool things of the week Get started with Google Cloud Training & Certification site Creating a REST API with Node.js and MySQL - Serverless Toolbox Extended video Interview Compute Engine site BigQuery site BigQuery Reservations docs Cloud Storage site Operations site Recommenders docs Google Cloud Support Plans site Cloud SQL site Use labels to gain visibility into GCP resource usage and spending blog GCP Advanced Billing Dashboard site Stack Doctor Series videos Cost Management Playlist videos Best practices for Cloud Storage cost optimization blog Best practices for optimizing your cloud costs blog Cost optimization best practices for BigQuery blog Networking cost optimization best practices: an overview blog 5 best practices for Compute Engine Cost Optimization blog Cloud Logging and Monitoring Cost Optimization Strategies docs Codelabs: BigQuery Pricing site Qwiklabs: Business Transformation with Google Cloud site Qwiklabs: Understand Your Google Cloud Costs site Qwiklabs: Optimizing Your GCP Costs site Business Learning Path site Cloud Platform Resource Hierarchy docs Cleaning up unused IP addresses docs Cleaning up unused and orphaned persistent disks docs Schedule VMs to auto start/stop with Cloud Scheduler docs Question of the week What is the metadata server?

It’s all about data management this week on the podcast as Brian Dorsey and Mark Mirchandani talk to Google Cloud Product Marketing Manager, Amy Krishnamohan. Amy starts the show by explaining that Cloud SQL is a fully managed relational database service that recently added Microsoft SQL Server to its repertoire. We talk about SQL Server’s migration from 2008R2 to a newer version, the process involved, and how it’s effecting customers. Luckily, Cloud SQL for SQL Server is very backwards compatible, making the process easy for Google Cloud customers! Cloud SQL also offers other tools to make using Microsoft SQL Server easier with Google Cloud, including shortcuts to set up the high availability function. Amy talks later in the show about what companies are a good fit for Microsoft SQL Servers on Google Cloud. She explains the steps to set up and tear down, how licensing works, and what the best use cases are for Microsoft SQL Servers on Google Cloud. In the future, Cloud SQL will have a managed AD service available. A multi-cloud strategy is important, according to Amy. It is up to each company to research cloud services and pick the best vendors and products for themselves and their clients. Cloud SQL for SQL Server is a way to bring two great products together for the benefit of consumers. Amy Krishnamohan Amy Krishnamohan is Product Marketing Manager at Google Cloud responsible for databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University. Cool things of the week Introducing Cloud AI Platform Pipelines blog Finding a problem at the bottom of the Google stack blog Larger local SSD storage available now blog Compute Engine gets machine images blog Google Cloud Next Update site Interview Microsoft SQL Server site Google Cloud SQL site BigQuery site GCE site Question of the week Lift and shift, move and improve, or re-architect: How do we “move and improve”? GCP Podcast Episode 211: Digital Services with xMatters podcast Importing virtual disks docs Create machine image from virtual appliance file (OVA/OVF) docs Tutorial: Getting started with Migrate for Compute Engine docs Whitepaper: Velostrata technology for mass migrations into Google Cloud Platform whitepaper Where can you find us next? We’re working from home for a while! Brian will be looking at getting a kind of weekly “reading group” of people who work with VMs and want to get better. Ping him on Twitter if you’re interested! Mark will be working on more video content and a cool nickname for Brian!

Emily Cai of Google is on the podcast today with hosts Brian Dorsey and Mark Mirchandani to talk about Kubernetes Config Connector, which went GA last month. The program helps users manage their Google Cloud resources in a way that is familiar for Kubernetes developers. Emily explains that it’s a great tool for Kubernetes developers looking to easily manage their infrastructure in one place. A platform team managing other teams is a perfect example of large-scale companies who could benefit from this tool, Emily explains. Walking listeners through the development cycle before and after Kubernetes Config Connector, Emily shines some light on specific instances when this powerful tool could streamline the process of building your project, making it faster and more efficient. She elaborates on the ways Config Connector and Anthos can work together as well. In the future, the Config Connector team hopes to cover all GCP resources, to create a more clear end-to-end experience for Kubernetes developers, and to allow Config Connector to be enabled straight onto a cluster. Emily Cai Emily is an engineer on Google Cloud’s Config Connector team focused on creating a declarative way for users to manage their non-Kubernetes resources. She has been with Google since November 2018 after interning twice (once in Irvine, once in Zurich). Currently living in Seattle, she is an avid frisbee player and winter sports enthusiast who is always open to new experiences. Cool things of the week SQL Server, managed in the cloud blog Now, you can explore Google Cloud APIs with Cloud Code blog Interview Kubernetes site Kubernetes Docs site Kubernetes Config Connector on Github site Kubernetes Config Connector Docs site Unify Kubernetes and GCP resources for simpler and faster deployments blog keeprunning.io blog Cloud SQL site Compute Engine site Pub/Sub site Terraform site Anthos site Question of the week How can I improve reliability/availability with the least amount of work? Regional Persistent Disks site High Availability Regional Persistent Disks site Where can you find us next? Our guest will be at Kubecon Europe and speaking at Next Mark and Brian will also be at Next!

Jon Foust and Mark Mirchandani are joined today by Domile Janenaite and Chris Stephenson of Humanitec. Humanitec, a German startup, helps developers run their code easily and smoothly in various environments. Chris and Domile start off by explaining why Humanitec was founded and what sets it apart from competitors, especially in the way it streamlines devops integration. Later, we learn how Humanitec is helping developers get the most out of cloud development by not only easily running deployments but also aiding in environment management. Developers can spend more time writing code and less time worrying about how they’ll get it to run. Chris also expands on how they built Humanitec, the reasoning behind their development decisions, and the challenges they faced. Domile goes on to describe the types of teams and companies that Humanitec is best suited for and why. Domile Janenaite Domile Janenaite is a product manager at Humanitec, focusing on developer experience in cloud-native development. Her team’s goal is to help developers escape scripting hell and smoothly enter the world of continuous delivery. In 2014 while studying she dove into Lithuania’s tech hub seeking to promote IT education nationwide. After finishing her studies she landed in Berlin’s tech scene and began working with 200+ dev teams across Europe analysing their processes and helping to improve workflows. During this period Domile became fascinated by the struggles that tech teams face working with cloud technologies. She envisioned building a product that helps developers optimize their workflows and reduce cognitive load. In 2018 she joined Humanitec in its early stages and currently she is working on an Internal Developer Platform which is pushing the industry to live in a “you-build-it, you-run-it” mindset. Chris Stephenson Chris Stephenson is VP of Product at Humanitec. He has worked in Engineering or Product across industries as diverse as Waste Management, HR-tech and Insurance but in recent years has been focusing on building platforms that enable development teams to implement and quickly scale applications. This has included running the High Performance Computing Group at Lloyd’s of London focusing on designing and implementing a platform to allow Engineers and Actuaries to quickly iterate on internal models at Lloyd’s of London, building a platform to allow for very fast development of “Partner Front-End” applications at Google (think the partner facing admin interfaces for Google Transit search or managing inventory for Google Play Movies) and currently at Humanitec building an Internal Developer Platform that can be used by all engineering teams to speed up their development of Cloud Native Apps. Cool things of the week Showing the C++ developer love with new client libraries blog New GCP Essentials video “GCP vs. Firebase — Part 1” blog GCPodcast Episode 180: Firebase with Jen Person podcast Here to serve Korea’s businesses with a new GCP region in Seoul blog Interview Humanitec site CNCF site GKE site Cloud SQL site Weaveworks site Harness site Question of the week How do you prevent exposing API keys in source code? Where can you find us next? Mark will be traveling and working on a video series for the Google Cloud YouTube Channel. Jon will be at GDC in March.

Hosts new and old gather together for this special episode of the podcast! We’ll talk about our favorite episodes of the year, the coolest things from 2019, and wrap up another great year together doing what we love! Happy Holidays to all of our listeners, and we’ll see you in the new year! Top episodes of the year GCP Podcast Episode 173: Cloud Run with Steren Giannini and Ryan Gregg podcast GCP Podcast Episode 165: Python with Dustin Ingram podcast GCP Podcast Episode 175: MongoDB with Andrew Davidson podcast GCP Podcast Episode 160: Knative with Mark Chmarny and Ville Aikas podcast GCP Podcast Episode 180: Firebase with Jen Person podcast GCP Podcast Episode 164: Node.js with Myles Borins podcast GCP Podcast Episode 174: Professional Services with Ann Wallace and Michael Wallman podcast GCP Podcast Episode 176: Human-Centered AI with Di Dang podcast GCP Podcast Episode 168: NVIDIA T4 with Ian Buck and Kari Briski podcast GCP Podcast Episode 163: Cloud SQL with Amy Krishnamohan podcast Favorite episodes of the year Mark Mirchandani’s Favorites: GCP Podcast Episode 193: Devoted Health and Data Science with Chris Albon podcast GCP Podcast Episode 177: Primer with John Bohannon podcast GCP Podcast Episode 202: Supersolid with Kami May podcast Mark Mandel’s Favorites: GCP Podcast Episode 186: Blockchain with Allen Day podcast GCP Podcast Episode 196: Phoenix Labs with Jesse Houston podcast Jon’s Favorites: GCP Podcast Episode 199: Data Visualization with Manuel Lima podcast GCP Podcast Episode 196: Phoenix Labs with Jesse Houston podcast GCP Podcast Episode 206: ML/AI with Zack Akil podcast GCP Podcast Episode 201: FACEIT with Maria Laura Scuri podcast Gabi’s Favorites: GCP Podcast Episode 199: Data Visualization with Manuel Lima podcast GCP Podcast Episode 167: World Pi Day with Emma Haruka Iwao podcast GCP Podcast Episode 206: ML/AI with Zack Akil podcast GCP Podcast Episode 198: SeMI Technologies with Laura Ham podcast Favorite things of the year Mark Mirchandani’s Favorites: Cloud Run Mark Mandel’s Favorites: Stadia Samurai Shodown available on Stadia All the new podcast hosts! Jon’s Favorites: First time doing the podcast at NEXT and it was quite the experience. Going to Nvidia offices to do an episode Getting to talk to guests in the gaming industry and hear how passionate they are about the things they are building Joining the podcast Podcast outtakes! Gabi’s Favorites: Visited a bunch of offices! Joining the podcast Cloud NEXT talk, where my demo failed but I recovered! Spreading the love and joy of databases Where can you find us next? Mark Mirch’ will be sleeping as much as possible! Mandel will be working on plans for Next, GDC, and I/O 2020! Gabi will be running away to warm weather for her winter vacation! Jon will be home! He’ll also be planning gaming content for next year and wrapping up this year with some deep dives into multiplayer games and some possible content! Sound Effects Attribution “Small Group Laugh 4, 5 & 6” by Tim.Kahn of Freesound.org “Incorrect” by RicherLandTV of Freesound.org “Correct” by Epon of Freesound.org “Fireworks 3 Bursts” by AtomWrath of Freesound.org “Jingle Romantic” by Jay_You of Freesound.org “Dark Cinematic” by Michael-DB of Freesound.org “Bossa Loop” by Reinsamba of Freesound.org

Peter goes Absent With Out Leave – AWOL. Redhat can’t save IBM’s earnings, AWS starts detecting anomalies, Google adds 100-Gbps direct connect links to their data centers, and Azure gets FHIR-Y. We also take a few somber minutes to talk about the passing of Mark Hurd, Oracle’s former Co-CEO.  Plus the world famous lightning round. Sponsors: Foghorn Consulting – fogops.io/thecloudpod Follow Up Topics General News/Topics Oracle's Mark Hurd, who was on medical leave, has died at 62 Despite Red Hat boost, IBM misses revenue targets ? Defense Secretary Mark Esper pulls out of JEDI cloud computing contract review AWS Amazon CloudWatch Anomaly Detection  Now Available – Amazon Relational Database Service (RDS) on VMware Containers and infrastructure as code, like peanut butter and jelly Amazon joins the Java Community Process (JCP) Google Improve your connectivity to Google Cloud with enhanced hybrid connectivity options Leave no database behind with Cloud SQL for SQL Server Azure Microsoft unveils two open-source projects for building

Happy Halloween! Today, Jon Foust and Brian Dorsey chat with Maria Laura Scuri of FACEIT about ways they are reducing toxicity in gaming. FACEIT is a competitive gaming platform that helps connect gamers and game competition and tournament organizers. In order to do this well, FACEIT has put a lot of energy into finding ways to keep the experience positive for everyone. Because gaming toxicity can involve anything from verbal jabs to throwing a game, FACEIT uses a combination of data collecting programs and input from players to help identify toxic behavior. In identifying this behavior, FACEIT has to consider not only the literal words spoken or actions made, but the context around them. Is that player being rude to strangers or is he egging on a friend? The answer to this question could change the behavior from unacceptable to friendly banter. Using their own machine learning model, interactions are then given a score to determine how toxic the player was in that match. The toxicity scores along with their program, Minerva, determine if any bans should be put on a player. FACEIT focuses on punishing player behavior, rather than the player themselves, in an effort to help players learn from the experience and change the way they interact with others in the future. Maria’s advice to other companies looking to help reduce toxicity on their platforms is to know the context of the toxic event. Know how toxicity can express itself on your platform and find ways to deal with all of them. She also suggests tackling the issues of toxicity in small portions and celebrating the small wins! Her final piece of advice is to focus on criticizing the behavior of the user rather than attacking them personally. Maria Laura Scuri Maria is the Director of Business Intelligence at FACEIT, the leading competitive platform for online multiplayer games with over 15 million users. She joined FACEIT as part of the core team in 2013 as an intern assisting with everything from customer support to event management. Her passion for data, machine learning, and artificial intelligence saw her quickly rise through the ranks to her current position, leading the Business Intelligence and Data Science teams. Maria works side by side with some of the biggest tech companies in the world including Google Cloud. She is the main lead on a number of projects including the inception of an Artificial Intelligence Admin to fight toxicity on the platform. Maria is responsible for implementing best practices around data visualization and tools that allow the FACEIT team to thrive, as well as sourcing and training new talent. Maria is a huge video games fan. You can find her on League of Legends as “FACEIT Lulu” and on Steam as “Sephariel”. Cool things of the week What can Google Cloud do for you? New trainings for business professionals blog Leave no database behind with Cloud SQL for SQL Server blog How to orchestrate Cloud Dataprep jobs using Cloud Composer blog Updates make Cloud AI platform faster and more flexible blog Use GKE usage metering to combat over-provisioning blog Interview FACEIT site FACEIT blog FACEIT on Medium site Steam site Perspective API site BigQuery site Looker site Cloud Datalab site Jupyter Notebook site Cloud AI Platform site TensorFlow site Google Cloud Data Labeling site Google Translation site] Dealing with CS:GO Free to Play and Addressing Toxicity in Matches blog Revealing Minerva and addressing toxicity and abusive behaviour in matches blog One of Europe’s Largest Gaming Platforms is Tackling Toxicity with Machine Learning blog FACEIT And Google Partner To Use AI To Tackle In Game Toxicity article FACEIT implement Minerva, an AI to punish toxicity in CSGO blog FACEIT Takes On Toxicity With Machine Learning article Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games whitepaper Toxic Behavior in Online Games whitepaper A Look at Gaming Culture and Gaming Related Problems: From a Gamer’s Perspective whitepaper An Analysis of (Bad) Behavior in Online Video Games whitepaper Toxicity detection in multiplayer online games whitepaper Jon’s gaming info steam BattleNet: Syntax#11906 Question of the week When I SSH into my VM via different methods (Cloud Console, GCloud, terminal/command prompt) I get a different username… What can I do to make that static? OS Login Where can you find us next? FACEIT will be at Next London and GDC Brian will be at Super Computing in Denver. Jon will be at AnimeNYC, Kubecon in November and Google Kirkland and Montreal in December.

Our guests Matthew Tamsett and Ravi Upreti join Gabi Ferrara and Aja Hammerly to talk about data science and their project, Qubit. Qubit helps web companies by measuring different user experiences, analyzing that information, and using it to improve the website. They also use the collected data along with ML to predict things, such as which products users will prefer, in order to provide a customized website experience. Matthew talks a little about his time at CERN and his transition from working in academia to industry. It’s actually fairly common for physicists to branch out into data science and high performance computing, Matthew explains. Later, Ravi and Matthew talk GCP shop with us, explaining how they moved Qubit to GCP and why. Using PubSub, BigQuery, and BigQuery ML, they can provide their customers with real-time solutions, which allows for more reactive personalization. Data can be analyzed and updates can be created and pushed much faster with GCP. Autoscaling and cloud management services provided by GCP have given the data scientists at Qubit back their sleep! Matthew Tamsett Matthew was trained in experimental particle physics at Royal Holloway University of London, and did his Ph.D. on the use of leptonic triggers for the detection of super symmetric signals at the ATLAS detector at CERN. Following this, he completed three post doctoral positions at CERN and on the neutrino experiment NOvA at Louisiana Tech University, Brookhaven National Laboratory, New York, and the University of Sussex UK, culminating in a EU Marie Curie fellowship. During this time, Matt co-authored many papers including playing a minor part in the discovery of the Higgs Boson. Since leaving academia in 2016, he’s worked at Qubit as a data scientist and later as lead data scientist where he lead a team working to improve the online shopping experience via the use of personalization, statistics and predictive modeling. Ravi Upreti Ravi has been working with Qubit for almost 4 years now and leads the platform engineering team there. He learned distributed computing, parallel algorithms and extreme computing at Edinburgh University. His four year stint at Ocado helped developed a strong domain knowledge for e-commerce, along with deep technical knowledge. Now it has all come together, as he gets to apply all these learnings to Qubit, at scale. Cool things of the week A developer goes to a DevOps conference blog Cloud Build brings advanced CI/CD capabilities to GitHub blog Cloud Build called out in Forrester Wave twitter 6 strategies for scaling your serverless applications blog Interview Qubit site Qubit Blog blog Pub/Sub site BigQuery site BigQuery ML site Cloud Datastore site Cloud Memorystore site Cloud Bigtable site Cloud SQL site Cloud AutoML site Goodbye Hadoop. Building a streaming data processing pipeline on Google Cloud blog Question of the week How do you deploy a Windows container on GKE? Where can you find us next? Gabi will be at the Google Cloud Summit in Sao Paulo, Brazil. Aja will be at Cloud Next London. Sound Effect Attribution “Small Group Laugh 6” by Tim.Kahn of Freesound.org

Mark Mandel and Jon Foust return this week to host Jesse Houston, CEO of Phoenix Labs. Jesse goes into detail about their online, multiplayer game Dauntless, a hunting action game that brings friends together from every platform to fight giant monsters. Users can even switch platforms, say from Xbox to Playstation, and pick up right where they left off. Later in the show, Jesse describes the hurdles of building such a huge game and how Phoenix Labs overcame them. Late nights and holiday hours helped them create “no downtime deploys”, so users can continue to play even as the game updates. Because big projects sometimes come with big problems, Jesse also emphasized the importance of developing crisis management skills to help get through tough times. We talk more specifically about what it takes to build and run Dauntless, from GCP products such as GKE, Bigtable, and BigQuery, to tricks with scaling and management. In the future, Dauntless will be available on the Switch, new expansions will be released, and more. Jesse Houston Jesse Houston is a games industry veteran with over 18 years experience in the gaming space. Houston fell in love with games at an early age and found his footing in the games industry by applying to a QA position in a local paper. Previously, Houston has held lead producer roles at both Riot Games on League of Legends, and BioWare on the Mass Effect series. He also served as Production Director at Ubisoft, overseeing Technical Project Management, Pipeline Planning, Development and Design, among other responsibilities. Houston formed Phoenix Labs with Sean Bender and Robin Mayne to create deep multiplayer games that bring players together. Cool things of the week Virtual display devices for Compute Engine are now GA blog Container-native load balancing on GKE are now GA blog How to deploy a Windows container on Google Compute Engine blog Agones 1.0 site Interview Phoenix Labs site Dauntless site Dauntless Updates site Dauntless on Twitter twitter Cloud Bigtable site Kubernetes site BigQuery site GKE site Redis site Introducing Google Customer Reliability Engineering blog Cloud SQL site Question of the week What is the difference between Premium vs Standard network? Where can you find us next? Jesse will be speaking at the Montreal International Game Summit. You can see Phoenix Labs at many other gaming conferences, including Pax, TwitchCon, and GDC. Mark is taking some vacation time, then he’ll be at Kubecon. Jon will also be at Kubecon, as well as taking some personal time to attend several weddings. Sound Effect Attribution “Fantasy Orchestra” by BigManJoe of Freesound.org

Jon Foust and Mark Mirchandani are joined by Adé Mochtar to discuss the IT learning platform, Instruqt and how they create and manage the platform with the help of Google Cloud. Sandeep of Google stops in with the info on the Instruqt arcade games we saw at Google Next ‘19. Instruqt’s main philosophy is that people learn best by doing, and their courses encourage immersion right off the bat. Developers are asked coding questions and allowed to work in sandbox environments to fully expose them to the subject. Instruqt checks the student’s work as they continue through the program to ensure the material is being properly learned. But learning should be fun, too! By putting developer challenges on old-style arcade machines, developers can test their coding skills, learn new things, and have fun at the same time. At conferences, this has been a great way to engage their target audience. Google Cloud games were run on the Instruqt platform at Next ‘19, and conference attendees came back day after day to try to get on the high score leaderboard. It was a super fun way to get people using Google Cloud technologies! Adé Mochtar Adé is Co-Founder and CTO of Instruqt, a hands-on learning platform for IT technology. Before starting Instruqt, he was an engineer and consultant in Cloud and DevOps-related topics. A big part of that job was to educate organizations on how to adopt new technology. With Instruqt, he tries to achieve the same but on a larger scale. His mission is to make learning DevOps and Cloud more effective and fun. At Instruqt, Adé mainly focuses on back-end and infrastructure engineering using Terraform, Go, and (probably too much) Bash. Cool things of the week Step up your interviewing game with Byteboard blog Gartner names Google Cloud a leader in its IaaS Magic Quadrant blog Real-time bikeshare information in Google Maps rolls out to 24 cities blog Run Visual Studio Code in Cloud Shell blog Interview Instruqt site Instruqt on Slack site Kubernetes site Cloud Functions site Hashi Corp site Instruqt Arcade at Next ‘19 video Google Developer Advocate - Sandeep Dinesh on Instruqt video Go site React site Terraform site GKE site Cloud SQL site Cloud Build site Firebase site Question of the week I want to be more familiar with Google Cloud, how do I navigate the space for material? Learn more with Qwiklabs and Coursera. Get Certified. Where can you find us next? Instruqt arcade games will be at GopherCon and Cloud Summits! Jon will be speaking at Pax Dev and Pax West. Mark will be hanging on the East Coast, then meeting with customers in Austin. Sound Effect Attribution “Red Arrows Flyby.wav” by Figowitz of Freesound.org “crowd laugh.wav” by Tom_Woysky of Freesound.org “Alien_Scream.wav” by Syna-Max of Freesound.org “Laser Gun7.wav” by Burkay of Freesound.org “Scratch2.mp3” by Feveran of Freesound.org “BumbleBeeShort.mp3” by CGEffex of Freesound.org “ComedyRimshot.wav” by XTRgamr of Freesound.org

This week on the podcast, Yuri Litvinovich of Scotiabank was able to join Mark Mirchandani and Michelle Casbon to talk about migration from on-prem and their partnership with Google Cloud. Mark Mandel stops in with some cool things of the week and the question of the week, too! With Yuri’s help, Scotiabank is working to become a modern financial services technology company. Their transition from working mostly on-prem to working in the cloud was exciting for him as he discovered how much cheaper, faster, and more secure large enterprise projects can be in the public cloud. Three years ago, Scotiabank’s CEO began encouraging this shift to keep the company up-to-date, with funds allocated to moving all their thousands of applications and products to a more efficient system. To accomplish this, Yuri turned to Kubernetes to make use of containers. Because they are light and homogenous in different environments, the modernization at Scotiabank went much more smoothly with Kubernetes and GKE. They also use a mix of managed systems like BigQuery, Dataflow, and Pub/Sub, as well as made-from-scratch applications that help the Google products to be compatible with Scotiabank’s existing software. Yuri believes this was a key to their success in the migration from on-prem to the cloud. In the process of migration, Yuri experienced some pushback from developers who were concerned about the move. He encouraged them not to “lift and shift” their projects, but to completely re-build them with cloud dev ops principles in mind. Yuri’s goal was to convince developers that doing this would result in projects that were much easier, cheaper, and more secure in the long run. By outlining the benefits and goals of migration and sharing success stories of other businesses who have transferred to Kubernetes and the cloud, Scotiabank was able to help convince developers of the importance of it. Yuri also encourages trust and cooperation between teams. Yuri Litvinovich Yuri is a Senior Cloud Engineer and Kubernetes Tech Lead at Scotiabank. He’s currently part of Platform Organization (PLATO) within Scotiabank, which performs enterprise modernization program to transform the Bank into a modern technology company in financial services. Yuri has extensive experience in Cloud technologies, Kubernetes, DevOps, Site Reliability Engineering, Automation, CI/CD, Linux, networking, and system administration. His pursuit of excellence led him to work on implementing cutting-edge technologies in both startups, and large enterprise environments making them vital part of organization’s digital transformation journey. Cool things of the week Introducing Deep Learning Containers: Consistent and portable environments blog How to implement document tagging with AutoML blog Analyze BigQuery data with Kaggle Kernels notebooks blog GCP Podcast Episode 84: Kaggle with Wendy Kan podcast Introducing the Jenkins GKE Plugin—deploy software to your Kubernetes clusters blog Interview Scotiabank site Kubernetes site Kubernetes Engine site Cloud SQL site BigQuery site Dataflow site Pub/Sub site Stackdriver site Anthos site GKE On-Prem site Istio site Autoscaling Streaming Applications in Cloud Dataflow with Scotiabank video Google Cloud Next ‘19: Day 2 Product Innovation Keynote video Kubeflow site Question of the week Rather than using the standard Cloud Shell image - what if I want to add my own “by default” installed tooling? Where can you find us next? Mark Mirch is working on This Week in Cloud. Mark Mandel is going to Tokyo Next, Open Source in Gaming Day , and the North American Open Source Summit. Sound Effect Attribution “crowd laugh.wav” by tom_woysky of Freesound.org

Today on the podcast, we’re speaking with Chris Aniszczyk about the Linux Foundation and the important work they do to further the advancement of technology through open source initiatives. Mark and Mark are your hosts this week, and they begin by speaking with Chris about what the Linux Foundation is and how it’s unique. The Linux Foundation, while seeking to support open source projects, sets itself apart by also providing professional services such as marketing, technical writing, legal help, and running events. It acts as a parent foundation for smaller open source foundations like Cloud Native Computing Foundation, Node.js Foundation, and the Automotive Linux Foundation, which strives to bring open source to the automotive industry. Though typically companies can be leery of working with competitors, The Linux Foundation has been successful bringing companies together to create useful software that benefits everyone. Collaboration can be easier when done through the foundation. Chris also actively reaches out to companies in industries that don’t typically engage in open source practices and encourages them to consider working together to make their industry better. Specifically, Chris works with companies within CNCF and the Open Container Initiative. Chris Aniszczyk Chris Aniszczyk is an open source executive and engineer with a passion for building a better world through open collaboration. He’s currently a VP at the Linux Foundation where he co-founded the Cloud Native Computing Foundation (CNCF) and currently serves as CTO. Furthermore, he’s a partner at Capital Factory where he focuses on mentoring, advising and investing in open source and infrastructure focused startups. Throughout his career he has worked at the intersection of open source, internet scale organizations and the enterprise; at Twitter he created their open source program/strategy and led their open source efforts to change the infrastructure industry. In a previous life, he bootstrapped an open source startup, was a Gentoo maintainer, made many mistakes, lead and hacked on many developer tooling and Linux related projects. Cool things of the week Uber datasets in BigQuery: Driving times around SF (and your city too) blog Topping the tower: the Obstacle Tower Challenge AI Contest with Unity and Google Cloud blog Querying the Stars with BigQuery GIS blog GKE Sandbox: Bring defense in depth to your pods blog Google Cloud launches new Osaka region to support growing customer base in Japan blog Interview Linux Foundation site OpenJS Foundation site CNCF site Automotive Linux Foundation site Let’s Encrypt site How to start a project with the Linux Foundation site Community Bridge site Academy Software Foundation site Open Container Initiative site CNCF Cloud Native Definition site CNCF Annual Report site GraphQL site Linux Foundation Events site Question of the week How do I connect Cloud SQL to my serverless? Where can you find us next? Mark Mirchandani will be working on more film projects. Mark Mandel will be at Tokyo Next in July and will be at Open Source in Gaming the day before the Open Source North America Summit in August.

Mark Mirchandani is our Mark this week, joining new host Michelle Casbon in a recap of their favorite things at Next! The main story this episode is Cloud Run, and Gabi and Mark met up with Steren Giannini and Ryan Gregg at Cloud Next to learn more about it. Announced at Next, Cloud Run brings serverless to containers! It offers great options and security, and the client only pays for what they use. With containers, developers can use any language, any library, any software, anything! Two versions of Cloud Run were released last week. Cloud Run is the fully managed, hosted service for running serverless containers. The second version, Cloud Run GKE, provides a lot of the same benefits, but runs the compute inside your Kubernetes container. It’s easy to move between the two if your needs change as well. Steren Giannini Steren is a Product Manager in the Google Cloud Platform serverless team. He graduated from École Centrale Lyon, France and then was CTO of a startup that created mobile and multi-device solutions. After joining Google, Steren managed Stackdriver Error Reporting, Node.js on App Engine, and Cloud Run. Ryan Gregg Ryan is a product manager at Google, working on Knative and Cloud Run. He has over 15 years experience working with developers on building and extending platforms and is passionate about great documentation and reducing developer toil. After more than a decade of working on enterprise software platforms and cloud solutions at Microsoft, he joined Google to work on Knative and building great new experiences for serverless and Kubernetes. Cool things of the week News to build on: 122+ announcements from Google Cloud Next ‘19 blog Mark’s Favorite Announcement: Network service tiers site Michelle’s Favorite Announcements: Cloud Code site Cloud SQL for Postgres now supports v11 release notes Cloud Data Fusion for visual code-free ETL pipelines site Cloud AI Platform site AutoML Natural Language site Google Voice for G Suite blog Hangouts Chat in Gmail site Kubeflow v0.5.0 release site Interview Cloud Run site Knative site Knative Docs site Firestore site App Engine site Cloud Functions site GKE site Cloud Run on GKE site Understanding cluster resource usage site Docker site Cloud Build site Gitlab site Buildpacks site Jib (Java Image Builder) site Pub/Sub site Cloud VPC site Google Cloud Next ‘19 All Sessions videos Question of the week If I want to try out Cloud Run, how do I get started? Get started with the beta version by logging in site Quicklinks site Codelab site Where can you find us next? Gabi is at PyTexas Jon and Mark Mandel are at East Coast Game Conference Michelle & Mark Mirchandani will be at Google IO in May Michelle will be at Kubecon Barcelona in May

The podcast celebrates day two of Next as our hosts speak with some more conference attendees. Andre came by to talk with Aja and Jon about his work with Stackdriver IRM and their mission for fewer, shorter, and smaller outages. We had three hosts in the booth with guest, Anne, who works for the GCP Trust and Security Product Team. Brian, Mark, and Aja find out exactly what Anne does at GCP and how she’s enjoying Next! Brian and Mark also met up with Mario who came all the way from Munich, Germany. Mario runs the Cloud Community in his hometown, and he shared his thoughts on Anthos and what he’s excited about at Next. Last but not least, Valentin stopped by to talk with Mark and Jon about Go and the presentation he’s giving at Next on site performance. Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 2 Run Channel video Google Cloud Next ‘19: Day 2 Build Channel video Stackdriver site Stackdriver Incident Response and Management site Stackdriver Incident Response and Management documentation docs Data Management: The New Best Practice for Incident Response (Cloud Next ‘19) video Stackdriver Profiler site GKE site Increasing trust in Google Cloud: visibility, control and automation blog GKE Sandbox site gVisor site Hybrid Cloud Sessions - Google Cloud Next ‘19 videos Google Cloud Next ‘19: Day 1 Secure Channel video Google Cloud Next ‘19: Day 2 Secure Channel video Anthos site Meet Anthos! (Cloud Next ‘19) video Introducing Anthos: An entirely new platform for managing applications in today’s multi-cloud world blog Cloud SQL site Making Google Cloud the best place to run your Microsoft Windows applications blog How to Migrate Windows Workloads to Google Cloud (Cloud Next ‘19) video Qwiklabs site Dev.to site Go site Go Tools site Cloud Run site Announcing Cloud Run, the newest member of our serverless compute stack blog Where can you find us next? We’re at Next this week! Stop by and say hi!

We’re at Cloud Next this week with special guests, special hosts, and more! On day one, Gabi and new host Mark Mirchandani were able to speak with Jonathan Cham, Customer Engineer at Google Cloud, about his experiences with Google Next. Ori of the Cloud SQL team shared exciting news about Cloud SQL Server. Later, Aja was joined by co-host Brian Dorsey who elaborated on his Next talk, as well as his favorite things at Next. They were able to get a quick interview with Matt and Nate about Skuid and what they’re looking forward to at Cloud Next. Jose and Bryan of Onix stopped by as well to talk about their company and their experiences in comedy! Interviews Cloud Next site Next On Air site Google Cloud Next ‘19: Day 1 Run Channel video Cloud Next Opening Keynote video Anthos site Cloud SQL site SQL Server on Google Cloud site Skuid site Firebase site Cloud SQL for PostgreSQL site Google Compute Engine site Onix site Cloud Search site OnSpend site GSuite site Onix Outreach site Where can you find us next? We’re at Next this week! Stop by and say hi!

World Pi Day is behind us, but our guest today, Emma Iwao, joins hosts Gabi and Mark to teach us all about pi. Pi is the constant of the ratio of a circle’s circumference to its diameter. Anytime you see a circle on a computer, pi has been used. It’s vital for everything from gaming to calculating rocket trajectories! Emma crushed the world record for calculating digits of pi using Google Cloud over four months! Listen in to hear more about how she did it! Emma Haruka Iwao Emma is a developer advocate for Google Cloud Platform, focusing on application developers’ experience and high performance computing. She has been a C++ developer for 15 years and worked on embedded systems and the Chromium Project. Emma is passionate about learning and explaining the most fundamental technologies such as operating systems, distributed systems, and internet protocols. Besides software engineering, she likes games, traveling, and eating delicious food. Cool things of the week The Next OnAir site is live today and provides many of the details viewers could be looking for ahead of the event site Get Google Cloud Certified at Next ‘19: What you need to know blog Game Playing on Google Maps (see more at GDC) blog Your mission, gumshoe: Catch Carmen San Diego in Google Earth blog Interview Y-cruncher site Join the pi-31415926535897 Google Group group Fetching pi digits site Pi digit snapshots site Question of the week How do I track what is happening to my containers? Who has access to them, changes, etc? Where can you find us next? Mark will be at GDC, Cloud NEXT, ECGC, and IO. Gabi will be at Cloud NEXT, PyTexas 2019, and she will be conducting a Cloud on Air Webinar on Migrating to Cloud SQL

We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer. Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects. Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces. Amy Krishnamohan Amy is Product Marketing Manager at Google Cloud responsible for Databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University. Cool things of the week Process Workflows with the new Google Docs API blog Jib 1.0.0 is GA—building Java Docker images has never been easier blog GCP Podcast Episode 151: Java & Jib with Patrick Flynn and Mike Eltsufin podcast A guided tour in Google Earth that explores Black history blog Author: Gabe Weiss - Publishing series: Cloud IoT step-by-step Cloud IoT step-by-step: Connecting Raspberry PI + Python site Cloud IoT step-by-step: Cloud to device communication site Cloud IoT step-by-step: Quality of life tip - The command line site Interview Cloud SQL site Cloud SQL Features site MySQL site PostgreSQLsite Cloud MemoryStore site Cloud Bigtable site Cloud Firestore site Cloud Spanner site GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast Mongo site Getting to know Google Cloud SQL video Question of the week What is a virtual column in a database? Generated columns blog and docs Where can you find us next? Amy will be at the Postgres Conference in New York on March 19. Gabi will be at PHP UK in London and Cloud NEXT in April. Mark will be at GDC in March, Cloud NEXT, and ECG in April. Diamond Partner Q&A: Google’s Mark Mandel Has The Tools To Help You Make Great Games article

We’re back! This week, Mark welcomes Gabi as his new co-host! Listen in as they discuss Knative with Mark Chmarny and Ville Aikas. So what is Knative? Mark and Ville explain that Knative is basically a way to simplify Kubernetes for developers. This way, developers can focus on writing good code without worrying about all the aspects of Kubernetes, such as deploying and autoscaling. Knative helps with these functions automatically. Knative also supports many languages which allows developers to bring their own stack. The day-to-day of developing doesn’t change, which is the beautiful thing about Knative! Knative is open source and easy to deploy. Developers can find installation guides online for any Kubernetes certified instance of service. A link to the installation guide for Knative on GKE is in our show notes. Mark Chmarny Mark is a Technical Program Manager for Serverless focusing on enabling customers to be successful with our serverless portfolio on GCP, and driving community awareness of our serverless products on GKE. Prior to that Mark lead the Partner Engineering team for Data, Analytics and ML at Google. Before Google, Mark was the Sr. Director of Datacenter Solutions Group at Intel. Ville Aikas Ville is a member of the Technical Oversight Committee for Knative, leads Knative Eventing, and (with Matt) conceived ducks for K8s. Previously, Ville worked on Helm, K8s Service Catalog and Kubernetes (before it was Kubernetes). Before the OSS stint Ville was a TL for Google Cloud Storage. Cool things of the week Let the sunshine in: opening the market for more renewable energy in Asia blog Get Go-ing with Cloud Functions: Go 1.11 is now a supported language blog Building Google’s Game of the Year with Cloud Text-to-Speech and App Engine blog Welcome to the service mesh era: Introducing a new Istio blog post series blog Interview Knative site Knative Blog blog Knative on GitHub site Kubernetes site MiniKube site GKE site Pub/Sub site Cloudevents site Knative Install on Google Kubernetes Engine site Knative Slack site Question of the week How long does it take for Cloud SQL to detect an outage and trigger High Availability failover? Where can you find us next? Gabi will be discussing the awesome new features of MySQL 8.0 at PHP UK - London and you will be also able to find her at Cloud NEXT Mark will be at GDC in March, Cloud NEXT, and ECG in April Our guests will be at Cloud NEXT and KubeCon Barcelona

An airhacks.fm conversation with Alexis (@alexismp) about: java -jar glassfish.jar, Community Management at Sun, Developer Relations, how to talk to developers, Texas Instruments 4a, a circle qualifies as "Hello World", Prolog to Java Applets migration for National French Space Agency, Java Center of Excellence at Sun Microsystems, Sun / JavaSoft / IBM as dream jobs, Scott McNealy and the ability of predicting the future - a reference to airhacks.fm episode #19 - interview with Scott McNealy, starting at Sun in 1998, Sun Netscape Alliance, iPlanet Appserver, moving a Reference Implementation to a product called "GlassFish", HK2, GlassFish started faster than Tomcat, moving the industry with GlassFish, fascination with modularity, NetBeans as platform, plugins as quality asurance, lightweight runtimes with 500 MB WARS, making servers bigger and deployables smaller, docker changed the conversation, dealing with boring technologies, different language communities at Google, Java is less ceremonial, than people think, the popularity of Java at Google, AppEngines 10th anniversary, Apache Beam and Google Dataflow, how Sun lost the engineers at Java 5 timeframe, a huge amount of Google projects is based on Java, AppEngine is "serverless", Sun and Google have a lot in common, JAX-RS is Google Cloud Endpoints, Managed PubSub service, PubSub is like JMS, AppEngine as PubSub message listener, Cloud Spanner -- a distributable scalable persistence, DataStore supports versioning is a document, key value store, canary deployments, Objectify an ORM for DataStore, Cloud SQL and PostgreSQL, BigTable, exports to BigQuery, istio , Kubernetes, Helidon on Google Cloud, Kubernetes Engine, you can find Alexis at twitter: @alexismp, LinkedIn, medium: @alexismp and his: blog.

Mark and Melanie speak with Patrick Flynn and Mike Eltsufin about their exciting new Java products for Google Cloud. Mike tells us all about the new Spring Cloud GCP, a helpful tool that integrates Google Cloud Platform APIs and the Spring Framework. Patrick elaborates on his team’s new tool, Jib, a Java container image builder, and how it helps Java developers. Patrick Flynn Patrick Flynn is a long time Java developer who spent many years in Google Ads, and is now four years into being the tech lead of the Google Cloud Java Tools team. Mike Eltsufin Mike Eltsufin has been an enterprise Java application developer in the banking sector for over a decade before joining Google. Currently, he’s the tech lead of the Cloud Java Frameworks team, focusing on bringing the goodness of Spring Boot to Google Cloud Java developers. Cool things of the week Introducing container-native load balancing on Google Kubernetes Engine blog Simplifying cloud networking for enterprises: announcing Cloud NAT and more blog Store it, analyze it, back it up: Cloud Storage updates bring new replication options blog Postmortems and Retrospectives with Liz and Seth video GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast Interview App Engine site Kubernetes Engine site Spring Framework site Spring Boot site Spring Cloud GCP site Spring Cloud GCP on GitHub site Cloud Pub/Sub site Spanner site Cloud Sql site Cloud Datastore site Docker site Jib on GitHub site Cloud Tools for IntelliJ Documentation site Introducing Jib — build Java Docker images better blog Bazel site Skaffold on GitHub site Netty site SpringOne site Knative and riff for Spring Developers video Jib Gitter site Sig Apps site Kubernetes Slack site Codelabs site Question of the week What if we have an object in Google Cloud Storage, and I want to automatically change an aspect of it – such as: Downgrade the storage class of objects older than 365 days to Coldline Storage. Delete objects created before January 1, 2013. Keep only the 3 most recent versions of each object in a bucket with versioning enabled. Managing Object Lifecycles docs and guide Where can you find us next? Patrick’s team will be at KubeCon Shanghai and Oracle Code One and he will be at KubeCon Seattle Mark will be at KubeCon in December. Melanie will be at Twilio Signal $BASH event on Thursday and SOCML in November.

VP of Infrastructure at Google Cloud Eric Brewer, talks to Melanie and Mark all about open source at Google Cloud, distributed systems, hybrid cloud, and more! Eric Brewer Eric Brewer is the main inventor of a wireless networking scheme called WiLDNet, which promises to bring low-cost connectivity to rural areas of the developing world. He is a tenured professor of Computer Science at UC Berkeley. In 1996, Brewer co-founded Inktomi Corporation (bought by Yahoo! in 2003) and became a paper billionaire during the dot-com bubble. Working with Bill Clinton, he helped to create USA.gov, which launched in 2000.[1] He is known for formulating the CAP Theorem about distributed network applications in the late 1990s.[2] Starting in May 2011 he has been on a sabbatical at Google as VP of Infrastructure.[3] Credits: Wikipedia Cool things of the week Google Cloud Next site Google Cloud Next London site Google Cloud Next Tokyo site Cloud SQL for PostgreSQL now generally available and ready for your production workloads blog Calling C functions from BigQuery with Web Assembly blog BigQuery beyond SQL and JS: Running C and Rust code at scale blog Kubernetes best practices: How and why to build small container images blog youtube Interview Nine faculty elected to American Academy of Arts and Sciences blog USA.gov site Eric Brewer research at google Kubernetes site 2014 Dockercon Keynote youtube 2017 Google Cloud Next Keynote youtube Istio site Extend the Kubernetes API with CustomResourceDefinitions docs Mentors Butler Lampson Barbara Liskov David Patterson Question of the week If I want to visualise the network traffic between pods/services within my Kubernetes cluster, is there an easy way to do this? Weavescope features installation Where can you find us next? Mark can be found streaming Agones development on Twitch, and will be presenting on Agones at Cloud Next. Melanie will be presenting at the internet2 Global Summit, May 9th in San Diego, and will also be talking at the Understand Risk Forum on May 17th, in Mexico City.

Fungerade vår liveserver? Ja! Trevlig markdown-editor för Windows 10: WriteMonkey Dropbox sparar stora pengar på att överge molnet Fredrik åkte till Malmö och inspirationssnackade podd Jocke beefar lite med Apple Fredrik leker VR på mobiler Jockes HTC-incident Fusion-Forty - Jocke ruinerar sig på vad som kanske är den ballaste A2000-accelerator som någonsin byggts Fredrik leker med röstassistenter Jocke byter bromsar på bilen - tuppkammen växer. Fredrik provar ytterligare en uppställning på skrivbordet. Möss - är de alltid dåliga? Jocke har “nytt” skrivbord Fredrik rensar sina appinställningar på Facebook Länkar Länkar Shoutcast Ladiocast Soundflower Audio hijack Markdown Writemonkey Haroopad Jocke fabulerar vidare om sin gamla Volvo Dropbox sparar pengar med egna servrar Cloud SQL Martins podd - M vs M Martin Jonasson - skapare av eminenta spel som Rymdkapsel och Twofold inc Jocke beefar med Apple Galaxy S8+ Gear VR Oculus Daydream Playstation VR Simpsons-VR-upplevelsen Rez infinite Ustwo Monument valley Land’s end HTCs smarta fodral - dot view Zorro II Fusion-forty Amazon echo och Google home på Webhallen Echo show One of those days Aptilo EFF-artikeln om att minska Facebooks spårning av dig Information om nästa version av Macos har läckt EGPU - grafikkort anslutet till datorn via extern anslutning Fullständig avsnittsinformation finns här: https://www.bjoremanmelin.se/podcast/avsnitt-117-det-vardiga-avsnittet.html.

Brian Granatir comes on the podcast this week to tell us all about the New Zealand company Smart Parking taking advantage of IoT Core and our Serverless products! This is also the inaugural episode of Melanie joining Mark on the podcast! About Brian Granatir Brian Granatir has been developing for the cloud since the beginning, back in 2007. He left Oregon and moved to New Zealand to be with his future wife in 2014. In 2017, he joined Smart Parking to help with the development of their new Smart City platform built on GCP. Before becoming a developer, Brian spent 3 years as a screenwriter in Hollywood. Cool things of the week Demystifying ML: How machine learning is used for speech recognition blog GCP arrives in India with launch of Mumbai region blog Cloud SQL for PostgreSQL adds high availability and replication blog Interview Smart Parking site IoT Core site docs Cloud Pub/Sub site docs Cloud Functions site docs Cloud Datastore site docs BigQuery site docs Google Data Studio site docs Question of the week How do I configure a PostgreSQL Cloud SQL instance for high availability? Configuring an Instance for High Availability docs Where can you find us next? Mark will be Montreal in December to speak at Montreal International Games Summit. Melanie will be speaking at QCon is San Francisco next week!

Mark and Francesc welcome the incredible Greg DeMichillie into their studio this week, to talk all about Google Cloud's Office of the CTO, and how it works with enterprise companies. About Greg DeMichillie Greg has 20 years experience in creating great computing platforms for developers and IT alike. He has been at Google since before the inception of Google Cloud Platform and as Director of Product he lead the product teams for App Engine, Compute Engine, Kubernetes & Container Engine, as well as the Developer Console, SDKs, and Billing system. He has delivered keynote presentations and product demos at events such as Google I/O and Google Cloud NEXT as well as interviews with the New York Times, Wall St Journal, and other publications. Prior to joining Google, he had leadership roles at variety of companies including Adobe and Amazon, as well as a decade at Microsoft where he was a developer on the first version of Visual C++, the development manager for Microsoft's Java tools, and lead the product team for the creation of C#. Cool things of the week Cloud SQL for PostgreSQL updated with new extensions blog docs issue tracker discussion group Celebrating Six Months of Open Access, plus The Met on Google BigQuery blog Deploying Clojure applications to Google Cloud blog Announcing price cuts on Local SSDs for on-demand and preemptible instances blog Interview How the queen of Silicon Valley is helping Google go after Amazon's most profitable business article Lush migrating to Google Cloud in 22 days blog Evernote migrating to Google Cloud blog Google Cloud Summit Sydney site Google Cloud Summit Paris site Google Cloud Summit Seattle site Google Cloud Summit Chicago site Google Cloud Summit Stockholm site Look out for more Summits in: Singapore, Kuala Lumpur, Bangalore, Munich, and Sau Paulo Question of the week Is there a way to access the Kubernetes dashboard without running kubectl proxy? Such as, if I wanted to view or control my Kubernetes cluster from my phone? Kubernetes UI docs kubectl proxy docs Creating Authorized Networks for Master Access docs Google Cloud Shell site docs Where can you find us next? Francesc is going on holidays!!! But he just released a justforfunc episode on Contributing to the Go project, and will be presenting at Google Cloud Summit in Sydney in September. Mark is entering crazy season, and will be presenting at Play NYC, then speaking at Pax Dev and then attending Pax West right after. He'll then be speaking at Gameacon and Austin Game Conference and attending Strangeloop once he's done with all that.

Digging back into our archive of interviews from Google Cloud Next, Mark and Francesc talk to Brad Rydzewski, creator of Drone, about the open source continuous integration and delivery platform. We are also excited to have the amazing Jessie Frazelle joining us as well! About Brad Rydzewksi Brad Rydzewski is the creator of the open source Drone project, which provides container based continuous delivery. About Jessie Frazelle Jessie Frazelle is also part of the Google Cloud Platform Developer Advocacy team, and is generally known as “That container girl”, and is an avid “Door to door leenuux salesperson.” Cool things of the week Announcing general availability of Google Cloud Dataflow for Python blog Google Cloud Platform for Data Scientists: Using R with Google Cloud SQL for MySQL blog Cloud SQL for PostgreSQL: Managed PostgreSQL for your mobile and geospatial applications in Google Cloud blog Interview Drone homepage github Drone on Container Engine github Kubernetes Namespaces docs Docker compose docs Drone Plugins site http://try.drone.io/ Question of the week This questions of the week comes from Rokesh Jankie: What is protocol buffers, and why should we all start using it? Protocol Buffers site gRPC previously on the podcast episode 15 episode 43 FlatBuffers site Where can you find us next? Mark will be heading to Vancouver Unity Games Meetup and Polyglot Vancouver Meetup, and then on to East Coast Games Conference and Vector in April. Francesc will be presenting at Gophercon China in April, and will then head off to New York!

This week brings us back to an interview that we did while at Cloud Next last week. Mark and Francesc talk to William Bonnell, Senior Director of SRE at The Home Depot all about SRE culture, and the CRE team as well. About William Bonnell William Bonnell is Senior Director of Site Reliability Engineering at The Home Depot - managing the e-commerce and order management systems, support millions of customers per day! Cool things of the week 100 announcements (!) from Google Cloud Next ‘17 blog Identity-Aware Proxy (IAP) for Google Cloud Platform (Beta) site Cloud.google.com/community site Cloud SQL for Postgre SQL (Beta) site 64 Core machines + more memory blog A new issue tracker for Google Cloud Platform blog Happy Pi Day! site Interviews 24⁄7 resiliency (Google Cloud Next ‘17) youtube Smart, Secure, and Modern app delivery for enterprises and cloud-natives (Google Cloud Next ‘17) youtube Building Microservices book Production-Ready Microservices book Site Reliability Engineering book Introducing Google Customer Reliability Engineering blog Managed Instance Groups docs Question of the week Why should I be using Cloud Spanner, rather than Cloud SQL? (Thanks AJ!) What's the difference between Google Cloud Spanner and Cloud SQL? quora Cloud Spanner docs Cloud Spanner Pricing docs Where can you find us next? Mark will be heading to Polyglot Vancouver Meetup in April, and then on to East Coast Games Conference and Vector Francesc will be presenting at Gophercon China in April.

Mark is back right on time to interview Alan Fregtman, a pipeline developer working at Rodeo FX. Alan will explain how Google Cloud Platform enables Rodeo FX artist to create amazing visual effects faster. Rodeo FX is very well known for their work on Game of Thrones, Deadpool, and many others. I recommend watching this demo video to get an idea of their talent. Game Of Thrones - Season 6 - VFX Breakdown from Rodeo FX. About Alan In the industry for 8 years ranging from commercials work to tv series and now film, Alan Fregtman (also on imdb) has been holding technical roles throughout his career, beginning as a character rigger and currently a pipeline developer at Rodeo FX in Montreal, where he has been for the last 4 years. He specializes in developing tools for the CG side of the film visual effects pipeline, including Rodeo’s integration of the Google Cloud Platform for use in cloud rendering. Cool thing of the week Cloud SQL, Cloud Bigtable and Cloud Datastore are now generally available Improved performance, security and platform support for databases (Low-latency for Google Cloud Storage Nearline storage) Announcement Interview Rodeo FX has worked on many shows: demo GCE Custom Machine Types to adapt to the movie needs docs Preemptible VM instancesc for their reduced cost docs Salt Stack to keep all machines configured docs FDT: Fast Data Transfer for really fast transfer of … data docs Creating a Google Cloud VPN docs GlusterFS to manage their in-house file system docs For more information: How GCP helps Rodeo FX extending their rendering capacity, presented by Jordan Soles YouTube Videos by Rodeo FX on vimeo Question of the week How to create a Managed Instance Group from a VM? Delete your instance keeping your disk Create a custom image from your disk docs Create a new Instance Template with them image Create an Managed Instance Group with the template What if you can't delete the instance? Create a snapshot from your running disk docs Create a new disk from the snapshot Go to step [2] above

In the eighth episode of this podcast and last of 2015, your hosts Francesc and Mark interview Felipe Hoffa. Felipe is a developer advocate for Google Cloud Platform and he specializes in Big Data. About Felipe In 2011 Felipe Hoffa moved from Chile to San Francisco to join Google as a Software Engineer. Since 2013 he's been a Developer Advocate on Big Data - to inspire developers around the world to leverage the Google Cloud Platform tools to analyze and understand their data in ways they could never before. You can find him in several YouTube videos, blog posts, and conferences around the world. Cool thing of the week Cloud SQL second generation docs and announcement blog post Interview BigQuery docs MapReduce: Simplified Data Processing on Large Clusters research paper Dremel: Interactive Analysis of Web-Scale Datasets research paper Cloud DataFlow docs FlumeJava: Easy, Efficient Data-Parallel Pipelines research paper MillWheel: Fault-Tolerant Stream Processing at Internet Scale research paper Cloud Datalab docs Jupyter project homepage Cloud BigTable docs Bigtable: A Distributed Storage System for Structured Data research paper Google Cloud Genomics docs and 23andme homepage Hey I just met you ... tweet BigQuery subreddit Question of the week App Engine environment variables docs Kubernetes secrets docs Google Compute Engine metadata docs App Engine example code to access project metadata Google Cloud Storage Security and Privacy considerations docs