The Cloudcast

SHOW: 412DESCRIPTION: Brian talks with Brandon Whichard (@bwhichard, Co-Host of Software Defined Talk podcast) about the tech/cloud trends that have shaped the first half of 2019.SHOW SPONSOR LINKS:Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt[FREE] Try an IT Pro ChallengeGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:VMware announces Project Pacific - unified vSphere and KubernetesVMware announced "Tanzu" multi-cloud Kubernetes management framework SHOW INTERVIEW LINKS:Software Defined Talk PodcastSHOW NOTES:Topic 1 - Welcome to the show. I’ve been listening to your show, Software Defined Talk, for quite a while. Tell us about your show, your co-hosts and the types of things you discuss on the show?Topic 2 - What are some of the biggest trends you’ve seen (or been discussing) so far in 2019? Anything really surprise you?Big IPOs in 2019 - AirBnB, Uber, Lyft, Pinterest, WeWork, Zoom, etc. - the GigEconomyThe rise of Kubernetes, the decline of Cloud FoundryPivotal getting acquired -- Mesosphere now D2IQ going KubernetesDocker gets a new CEOOSS licensing warsVMware seems to be acquiring a new company every weekVMware + Heptio + Pivotal + Bitnami= ?VMware now has a managed offering in AWS, Azure, IBM Cloud, GCP, AlibabaTopic 3 - AWS has continued to be the leading public cloud for a decade now. Do you see anything slowing AWS down?Topic 4 - There were lots of articles earlier in the year about big public cloud contracts between web companies and the public cloud (hundreds of millions in cloud spending). Many of those companies are now struggling as they have gone IPO. If they struggle to make revenue (and subsequently their cloud payments), do you see this having any effect on sentiment about public cloud? Topic 5 - There is starting to be some noise in the news and the markets about a potential economic slowdown. How much do you think about what that might mean to the tech industry, and subsequently buyers and users of tech? Sometimes in slower times, we see the creativity of new tech emerge (2001 - mass websites; 2007/8 - AWS and iPhone, 2019/2020 - ??)FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 411DESCRIPTION: Brian talks with Brian Platz (@bplatz, CEO/Co-Founder at @Flureee) about blockchain use-cases outside of cryptocurrencies, immutable data, graph databases, and building APIs on data. SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDigital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital Ocean[FREE] Try an IT Pro ChallengeGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:Microsoft acquires JClarityAWS forbids partners from mentioning multi-cloudDoes the VMware buying Pivotal announcement happen this week or during VMworld?SHOW INTERVIEW LINKS:Fluree Homepage - Business Application PlatformBrian Platz on Hackernoon [podcast]SHOW NOTES:Topic 1 - Welcome to the show. Before we jump into Fluree and the breadth of technologies that power the stack, let’s talk about your background and what drove you to create Fluree. Topic 2 - Let’s start with the problems - why does the industry need a new data management stack? What types of use-cases or data-management problems does the Fluree stack address?Topic 3 - Let’s talk about the Fluree stack, because it brings together several technologies (e.g. Blockchain, GraphQL, etc.) that have gotten a lot of hype, but people aren’t always sure how they should be used.  Topic 4 - When we step back and look at the Fluree stack, we see a focus around distributed architectures, immutability, graph data richness. Much of this sounds like it aligns to aspects of what is known as the Semantic Web. Are there connections there?Topic 5 - Let’s talk about your philosophy about API management and exposing data at the data-layer instead of the app-layer. What are the pros and cons of this sort of trade-off, and what are some of the things either data or app teams need to consider with this approach?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 410DESCRIPTION: Aaron and Brian talk with Kevin McHale (Senior Staff Engineer at Etsy) about the migration of their Big Data / Data Science platform from on-premises to Google Cloud, the business drivers for the migration, and the lessons the team has learned throughout the multi-year process.SHOW SPONSOR LINKS:Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt[FREE] Try an IT Pro ChallengeGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:GitHub Actions now includes CI/CDSHOW INTERVIEW LINKS:Etsy HomepageEtsy’s Engineering Blog (“Code as Craft”)Migrating Etsy to Google CloudSHOW NOTES:Topic 1 - Welcome to the show. Before we dive into your work at Etsy, tell us a little bit about your background prior to Etsy - you’re pretty good at math. Topic 2 -  You’ve been working on two very interesting projects at Etsy - both building/evolving the data platform, and helping to manage the migration to Google Cloud Platform (GCP). Let’s start by talking about the Etsy data platform.Topic 3 - What have been some of the business drivers that are pushing the data platform to collect more information, to become more cloud-native, and to better enable data pipelines? Topic 4 - At some point in 2017-18, Etsy decided to migrate some of the platforms to Google Cloud. Tell us about that decision-process, and how the migration has been going. What have been some of the lessons learned? Topic 5 -  How does working with Google Cloud (or just being in the public cloud) help accelerate the work that you’re doing on evolving the Etsy data platform? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 409DESCRIPTION: Corey Hynes, (@CoreyJHynes, CEO Learn on Demand Systems, @LoDSystems) talks about the need for hands-on ways to learn new skills, train IT professionals, and how innovative companies and individuals are adapting to the new culture of tech learning challenges. SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDigital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanGet 20% off VelocityConf passes using discount code CLOUDSHOW INTERVIEW LINKS:Learn on Demand Systems Homepage IT Pro ChallengesIT Pro Challenges – Case Study Try Labs FreeSHOW NOTES:Topic 1 - Welcome to the show. We’re obviously passionate about helping people learn with this podcast, but why don’t you tell us about your background and what makes you passionate about helping people learn at Learn on Demand Systems. Topic 2 - While we spent a lot of time covering the evolution of cloud technologies, the way that people learn today has evolved enormously as well. Help us understand the breadth of ways that Learn on Demand helps people learn - from Labs to Challenges to other forms? Topic 3 - One product that you recently started offering is called “IT Pro Challenges”. We’ve heard you say in other forums that you’re a big believer in hands-on learning. How does IT Pro Challenges help make sure that people get the actual skills they are learning?Topic 4 - A big part of learning is motivation - finding the time to learn, finding the motivation to try something new. What are some of the things that Learn on Demand Systems does to help motivate people to engage in the various types of learning systems you offer?Topic 5 - What is your message to people (individuals, managers, etc.) watching all these new technologies emerging and trying to figure out how to either pick the right learning/technology path for themselves, or generally putting a plan in place to improve themselves? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

SHOW: 408DESCRIPTION: Brian talks with Devesh Garg (Co-Founder/CEO of @arrcusinc) about the growth of Arrcus, the evolution of the network (5G, IoT Edge, DC to Cloud, SDN), and the new economics of networking. SHOW SPONSOR LINKS:Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:Amazon’s cloud business reports 37% sales growth ($8.5B/quarter) but misses analysts’ estimates Azure growth slows to 64%, estimated at $16B in salesGoogle Cloud earnings at $8B a year, plans to 3x the salesforceT-Mobile and Sprint Merger finally get Justice Department blessingSHOW INTERVIEW LINKS:Arrcus HomepageArrcus on The Cloudcast (Eps.356)Devesh Garg on theCUBE (video)Arrcus raises $30M in Series B funding SHOW NOTES:Topic 1 - Welcome back to the show. It’s been just about a year since we last spoke, you were just launching the company (amazing engineering experience and advisors). What has the last year of disrupting the networking industry been like? Tell us how the latest round of funding will help Arrcus grow. Topic 2 - Everything is connected now (way behind user-devices), everything is collecting and transmitting data, and we have no patience for the delay. Paint us a picture of how the network is evolving to deal with 5G, AI/ML at the edge, DC to Cloud interconnects, etc. Topic 3 - Arrcus has been focused on bringing better speeds and agility to networking. As more networking moves to SDN and SoC, how have companies been able to measure the gains that come from these new approaches to networking?  Topic 4 - Arrcus recently announced multiple high-density 100GbE and 400GbE routing solutions for Hyper-scale Cloud, Edge, and 5G networks and ArcIQ, “AI-driven analytics platform that provides enhanced real-time visibility, control, and security”. Tell us about the new solutions and how this changes the model for network and cloud operations teamsTopic 5 - What have you found to be the most critical areas of focus for the modern network operator, especially given the pace of innovation that offers them not only opportunity but also the challenges of keeping up with change? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 407DESCRIPTION: Aaron and Brian talk with Stu Miniman, (@stu, Sr Analyst, Host of @theCUBE, and GM of Content at SiliconANGLE Media) about the Amazon re:MARS event, and how it addressed technology trends in Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, and AI/ML.SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDigital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:VMware acquires Bitfusion (virtualized GPUs)Gartner publishes 2019 Cloud Infrastructure Magic QuadrantMicrosoft wins multibillion-dollar cloud deal from AT&T Microsoft invests $1B in OpenAISHOW INTERVIEW LINKS:Amazon re:MARS eventSiliconANGLE - theCUBEStu’s work at WikibonStu on The Cloudcast #129 (Jan ‘14) and #308 (Aug ‘17)SHOW NOTES:Topic 1 - Welcome back to the show. You get to talk to more communities that we do. What are some of the interesting topics, trends or people you’ve seen over the last few months of traveling and events? Topic 2 - Jeff Bezos has apparently been hosting his own MARS event for a while now. Why did it become an Amazon event now? Topic 3 - MARS is Machine Learning, Automation, Robotics and Space. Some of that overlaps with AWS (Machine Learning, Automation), and some is on the fringe of AWS (Space). Who was attending this event and what were the overall themes?Sessions include Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, AI/MLTopic 4 - There seem to be a number of sessions that included venture capital. Do you see this event as being less like a normal tech event, and more like a blurring of tech and VC, because some of these topics could involve significant levels of funding (smart cities, manned space travel, etc.)? Topic 5 -  AWS recently had an event called re:Inforce, which was targeted at Security. Do you think we’re beginning to see the disaggregation of re:Invent into specialty events and sub-categories of technology interests? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 406DESCRIPTION: Brian talks with Steve Kearns (@skearns64, VP Product Mgmt @Elastic) about how search is being used in many ways of our day-to-day life, how search has evolved to be a core element of Analytics platforms, and how Elastic search is evolving to help the next generation of developers in area like APM, Security, Metrics, etc. SHOW SPONSOR LINKS:Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:AT&T and IBM announce multi-year strategic allianceVenture Capital funding surges thanks to mega roundsJohn Deere Acquires golf Software, OnLinkMore bad multi-cloud terms ("Poly-nimbus")SHOW INTERVIEW LINKS:Elastic Homepage - Open Source Search & AnalyticsElastic-On-TourSHOW NOTES:Topic 1 - Welcome to the show. Before we get into your work at Elastic, can you tell us a little bit about your background? Topic 2 - Let’s start with the basics of search. Everyone knows about how they use Google for their day-to-day activities, but what are some of the common uses of search in a business or IT context that people might not think about or know about?  Topic 3 - Elastic is mentioned very frequently in the “search” discussion, but then it’s also included in a number of popular “stacks” (ELK stack, EFK stack, etc.). How does Elastic think about search being a core component of many other stacks (Metrics, APM, Security, etc.), some of which you may not have any immediate visibility to?Topic 4 - What are some of the evolutions that are happening around search (or broader stacks) that are interesting to developers? Topic 5 - How does Elastic think about how or when customers (or developers) are consuming Elastic technologies, across OSS, commercial software and SaaS offerings? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 405DESCRIPTION: Aaron and Brian talk with Emil Eifrem, (@emileifrem, Founder/CTO @Neo4j) about the emergence of graph databases, common use-cases, and how developers are thinking about new ways to leverage graph databases.  SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDigital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:IBM closes acquisition of Red Hat ($34B)Cisco acquires Acacia (Optical Networking - $2.6B)Google Cloud acquires Elastifile ($200M)Microsoft and ServiceNow announce strategic partnershipMicrosoft joins hospital chain Providence to build “hospital of the future”SHOW INTERVIEW LINKS:Neo4j HomepageNeo4j Open SourceSHOW NOTES:Topic 1 - Welcome to the show. You’ve been the CEO of Neo4j for over a decade now. How has the landscape around application-usage of data changed in the most significant ways? Topic 2 - For many decades, most data-centric applications were built around Relational Databases (SQL Databases). These days, application patterns and use-cases have expanded significantly. How do graph databases fit into these new trends? Topic 3 - With all the new patterns emerging, there are both business reasons and technical reasons for choosing the right database platform. How do you find the business-level thought process happening (contributing, influencing) around platform choice? How do you find the technical-level thought process happening (contributing, influencing) around platform choice?Topic 4 - Every company that’s involved with the commercialization of open source projects is trying to figure out the best way to manage a portfolio between OSS, software offerings and cloud offerings. How does Neo4j think about that balance? Topic 5 - Getting developer momentum and mass around a set of patterns is critical. How does Neo4j think about enabling developers, and what are some of the things you’ve done to accelerate their success and consistent learning? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 404DESCRIPTION: Brian talks with Alexis Richardson (@monadic, CEO @weaveworks, Chair of TOC @CNCF) about the carbon footprint of technology conferences and a growing interest in making them more environmentally friendly.  SHOW SPONSOR LINKS:Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDash is a two-day conference presented by Datadog. Learn about building and scaling the next generation of applications, infrastructure, and technical teams. Register today at https://www.dashcon.io/attend/Get 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:Mary Meeker's “Internet Trends” Report for 2019 Sonatype “2019 State of the Software Supply Chain” ReportGene Kim's "The Unicorn Project [new book]SHOW INTERVIEW LINKS:Climate Code of Conduct[WIRED] Stop Worrying About Buying Carbon Offsets for Flights SHOW NOTES:Topic 1 - Welcome back to the show. We’ve just now wrapped up the spring conference season and you’re helping to kick off a new focus on an interesting aspect of conferences. Topic 2 - Obviously climate change is a big talking point in political campaigns right now. Do you think that’s what is driving this discussion around conference now (vs. another moment in time)? Topic 3 - You’re helping to create a “Climate Code of Conduct”. It’s still early, but what are some of the guiding principles that are being explored? Topic 4 - Given the complexity of all that could be involved in improving the climate impact of conferences, do you think it’s more important to start making smaller changes (low-hanging fruit) or establishing really bold guidance? Topic 5 - Have any discussions about this started with any conferences yet? If conference organizers are listening, how would you suggest they potentially engage with the group that is discussing this? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

SHOW: 403DESCRIPTION: Brian talks with Jose Nino (@junr03, Software Engineer @Lyft) about how they evolved from a monolithic application to 300+ microservices, including a service mesh using the Envoy proxy.SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDash is a two-day conference presented by Datadog. Learn about building and scaling the next generation of applications, infrastructure, and technical teams. Register today at https://www.dashcon.io/attend/Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanGet 20% off VelocityConf passes using discount code CLOUDSHOW INTERVIEW LINKS:Envoy Proxy [homepage]Jose Nino’s talk at Velocity ConfSHOW NOTES:Topic 1 - Welcome to the show. Tell us a little bit about your background and some of the things you work on at Lyft. Topic 2 - Lyft was the original creator of the Envoy proxy project. As Lyft was going through their migration from a monolith to microservices, when did they realize that they needed to start creating a service mesh. Topic 3 - What functions of Envoy does Lyft use for both networking and security?Topic 4 - How does Lyft manage who interacts with the Service Mesh, since it has impacts on the applications (microservices) and the infrastructure teams (networking, security)? Topic 5 - What recommendations would you make to any other teams that are evaluating Envoy or Service Mesh technologies? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast