The Cloudcast

Tanmai Gopal (@tanmaigo, CEO Hasura) and Rajoshi Ghosh (@rajoshighosh, COO Hasura) talk about the evolution of GraphQL as an efficient way to engage with APIs and data models, and how Hasura Cloud helps simplify GraphQL for developers.SHOW: 462SHOW SPONSOR LINKS:Datadog Security Monitoring 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-shirtDivvyCloud - Achieve continuous security & compliance. Request a free trial today!DivvyCloud - The best mistakes are the ones that don’t happen. Learn how IaC offers preventive cloud security.CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Hasura HomepageHasura GraphQL Tutorials GraphQL HomepageGraphQL vs. Rest - What you need to knowTopic 1 - Welcome to the show. You both have an entrepreneurial background. Tell us a little bit about yourself and then what drove you to start Hasura? Topic 2 - GraphQL is a technology that’s been around for a little while, but it might be new to our audience. Can you give us the basics of what it does, and what sort of problems it solves for application teams?Topic 3 - Many people are familiar with REST or RESTful APIs. Can you help us understand some of the reasons why we’re seeing a shift towards GraphQL for API interaction, or away from REST APIs?Topic 4 - What are some of the business trends that are driving the need for more data-modeled API queries? Topic 5 - Hasura Cloud is focused on helping companies query data across any cloud or any source. What are some of the unique things that Hasura does to help customers manage these hybrid/multi-cloud environments?Topic 6 - What are some of the easiest ways for companies to get started with GraphQL and positively impact their applications?  FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Christos Matskas (@ChristosMatskas, PPM Identity & Security) and John Patrick Dandison (@AzureAndChill, Principal PM Identity) at Microsoft talk about Identity in today's cloud, managing borderless environments, and how to best enforce identity. SHOW: 461SHOW SPONSOR LINKS:DivvyCloud - Achieve continuous security & compliance. Request a free trial today!DivvyCloud - The best mistakes are the ones that don’t happen. Learn how IaC offers preventive cloud security.Datadog Security Monitoring 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Microsoft Azure HomepageGetting Started with Microsoft Identity (Microsoft Learn)Manage Identity and access in Azure AD (Microsoft Learn)MS Identity on Twitch (every Tuesday and Thursday)Topic 1 - Welcome to the show. You’ve both been at Microsoft for a little while, but give us a little bit of your background and the things you focus on today. Topic 2 - Let’s start with some basics - in the world of Cloud, what is Identity?Topic 3 - Things get more complicated as we incorporate more things associated with people or accounts (e.g. multiple devices, VPNs) or distributed applications or 3rd-parties (e.g. contractors, etc..) How does that shift the Identity conversation? Topic 4 - How does a business attempt to not only keep track of all of this, but enforce it in various ways? (connected, disconnected, people leave, applications change, etc.)Topic 5 - What are some of the ways that Microsoft addresses all these complex Identity challenges? Topic 6 - Looking forward, what are some areas that are going to be the new frontier for Identity challenges, or some technologies that will make things easier? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Dan “Pop” Papandrea (@danpopnyc, Field CTO @Sysdig Host @PopcastPop) talks about securing DevOps, how to secure containers and runtimes, and the cultural challenges of security in an agile world. SHOW: 460SHOW SPONSOR LINKS:Datadog Security Monitoring 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-shirtstrongDM HomepageStart your free 14 day trial today at: strongdm.com/cloudcastCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Sysdig HomepageThePOPcast with Dan POP HomepageEscape 2019 talk Webinar on the top 5 Pipeline considerations we did with Booz Allen Topic 1 - Welcome to the show. I first got to know you through your podcast The POPcast, but you’re been around this evolution of the cloud for quite a while. Tell us a bit about your background. Topic 2 - There’s a concept that’s now been around a couple years called “DevSecOps”. Originally it was “Sec” being jammed in there because it had been excluded from the early days of DevOps (at least in practice). Where are we with DevSecOps today? Topic 3 - Let’s talk about DevSecOps in the context of containers. We now have things like Container Scanning, Container Signing, and Immutable Infrastructure and yet security still concerns people. Isn’t the “software supply chain” supposed to weed out the vulnerabilities before they get into the production systems?Topic 4 - One of the challenges that companies have in adopting containers is that they were used to having root access to hosts, and containers live in the user space. How can security tools fit into a container world? Topic 5 - As you talk to lots of companies, how are they dealing with the cultural challenges that go along with implementing DevSecOps? Topic 6 - Any tips or suggestions you can share to help people avoid common DevSecOps mistakes, or accelerate best practices and wider adoption?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Zhamak Dehghani (@zhamakd, Portfolio Tech Director @ThoughtWorks) talks about the concepts behind Data Mesh, the challenges and problems of Data Lakes / Data Warehouses, and how Cloud-native principles can be applied to Data. SHOW: 459SHOW SPONSOR LINKS:strongDM HomepageStart your free 14 day trial today at: strongdm.com/cloudcastDatadog Security Monitoring 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:ThoughtWorks Technology RadarData Mesh (from Technology Radar)How to Move Beyond a Monolithic Data Lake to a Distributed Data MeshTopic 1 - Welcome to the show. We were introduced to you through the O’Reilly events, but you’ve been involved in software development and architecture for quite a while. Tell us a little bit about your background and your focus areas at ThoughtWorks.Topic 2 - About a year ago, you introduced this new concept called “Data Mesh”. Before we get into that, give us a little bit of background on the problems that previous generations of Data Warehouses or Data Lakes created. Topic 3 - Lets begin to walk through how Data Mesh is different from Data Lake. We’re not talking about just dumping all the various data sources into one “pool”, there’s a concept of “domains” within this big pool of data. What are the new concepts of source and consumption?Topic 4 - Explain the concept of how pipelines are tied into Data Mesh and how this allows the creation of new products/features from the Data Mesh.Topic 5 - You talk about the data being truthful, and then you bring an SRE concept of SLO into the truthfulness of the data. Explain how that might work? Topic 6 - Once a Data Mesh is in place, what are the “roles” (or teams) that have specific tasks, and who are the typical consumers of the Data Mesh platform?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Vaibhav Nivargi (CTO & Founder @Moveworks) talks about Natural Language Understanding (NLU), interacting with users using chatbots, and augmenting customer service with AI. SHOW: 458SHOW SPONSOR LINKS:Datadog Security Monitoring 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-shirtstrongDM HomepageStart your free 14 day trial today at: strongdm.com/cloudcastCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Moveworks HomepageTopic 1 - Vaibhav, welcome to the show. Tell everyone a little about yourself and what got you started in the AI space?Topic 2 - We’ve done a number of AI/ML shows over the years, but we haven’t talked much about Natural Language Understanding or NLU. Let’s start there, can you give everyone an introduction?Topic 3 - Based on that, is the primary interaction with the end user through a chatbot or something similar? What are the primary use cases and tools you are seeing in the industry? Is this a Slack and/or Microsoft Teams integration? Unsolicited plug, I’m a customer in my day job… Topic 4 - We’ve been talking a lot on the show recently about the migration to SaaS based products. What is the model here? Is the AI central (cloud hosted) or private and in-house?  Do you have the concept of a template AI and then each customer AI is an instance or is this a central AI that is called? How does it get customized and updated over time? What training is typically required and is this training on-going?Topic 5 - How do you prevent user frustration from “loops” or unanswered questions? I think of the voice automated telephone systems I’m not a fan of as an example. How would you handle language that isn’t built into the AI?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Aaron and Brian review the first half of 2020, which feels like it’s lasted 6 years. SHOW: 457SHOW SPONSOR LINKS:strongDM HomepageStart your free 14 day trial today at: strongdm.com/cloudcastDatadog Security Monitoring 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Topic 1 - Back on March 18th, Aaron and Ken Hui did a show about “Working from Home Tips and Tricks”. Can you even remember your mindset back in March?  Zoom becomes a verbTopic 1a - Is 2020 the Year of Virtual Desktops? Have you seen any last shifts happening about people being remote? [are companies going to allow people to work remote?]Topic 2 - We’re starting to see the major clouds start to carve out some unique personalities:AWS - Goes over $10B for the quarter, not a lot of big announcementsAzure - Lots of interesting growth around GitHub; pushing Teams hard with COVID; but had some scaling issues with COVID - also has made several acquisitionsGoogle - Getting very sales focused (CEO Kurian); pushing Anthos into other clouds (AWS now, Azure soon)Oracle - Are they becoming the low-cost bandwidth cloud?Topic 3 - Should anybody be running their own software anymore? MongoDB, Confluent, Datastax, Hashicorp, Red Hat, VMware (and many more) now have managed cloud-based versions of their core software.Topic 4 - 2001 Internet Crash drove a ton of new innovation. 2008 Financial Crash led to the public cloud, but also lots of “cost savings” innovation. What does 2020 potentially bring? Topic 5 - We have to talk about conferences and tradeshows. Do they return in 2021? What have we learned from the virtual ones in 2020?Topic 6 - Any insights / predictions about the rest of 2020? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Tim Zonca (@timzonca, CEO at @stackeryio) talks about the next evolution of the serverless developer experience, the maturity of customer adoption, how much customer appreciate not having to manage infrastructure, and how to manage the journey to serverless.SHOW: 456SHOW SPONSOR LINKS:Taos HomepageTaos - Gartner MQ - Cloud Professional ServicesStudio 3T - HomepageStudio 3T - 30 Day Free TrialDatadog Security Monitoring 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Stackery HomepageStackery Cloudlocal FeaturesTopic 1 - Welcome to the show. You’ve had a pretty diverse career in terms of elements of making developers successful. Tell about your background and how you became CEO at Stackery almost a year ago.Topic 2 - It’s hard to believe that AWS Lambda launched about 5.5 years ago. Obviously the serverless ecosystem has grown and expanded quite a bit since then. Where do you see serverless in terms of both maturity of the technologies, and maturity of customer adoption?Topic 3 - Lets talk about what the Stackery platform brings to the serverless ecosystem. Topic 4 - As you talk to prospective customers, how much different is it to discuss not have to be burdened by underlying resources vs. previous conversations you’ve had about applications? How long does it usually take them to grasp the magnitude of the changes in development?Topic 5 - How much of a “traditional” developer experience still exists with serverless (write code, write tests, pipelines, etc.) and what are some immediate things they will see that’s different?Topic 6 - Having been at Puppet you obviously saw many DevOps transformations. What are some of the steps on a typical Serverless transformation for companies?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Dillon Erb (@dlnrb, CEO @HelloPaperSpace) talks about what exactly is MLOps, Serverless AI platforms, and how developers can utilize GPUs for AI/ML.SHOW: 455SHOW SPONSOR LINKS:Datadog Security Monitoring 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-shirtTaos HomepageTaos - Gartner MQ - Cloud Professional ServicesStudio 3T - HomepageStudio 3T - 30 Day Free TrialCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:PaperSpace websiteCovid-19 BlogFighting Covid-19 with Data and AI blogTopic 1 - Dillon, welcome to the show, tell us a little bit about yourself and how you got involved in this space?Topic 2 - I’ve had a running joke on the show that a market doesn’t exist until you attach Ops to it. Today we’ll talk about MLOps. Give everyone an introduction for those not familiar.Topic 3 - What exactly is a Serverless AI Platform? How does this differ from traditional CI/CD platforms that our listeners would be used too? Is this abstracting away the infrastructure layer for MLOps teams?Topic 3a - Switching gears from Ops to Developers, what do you mean when you say that you make it easy for developers to use GPUs? What do developers need to know about hardware-level stuff like GPUs that they didn’t need to know with CPUs? Topic 4 - As with all things emerging tech, the use cases are constantly evolving. What are the early initial use cases that you are seeing? Are there unique things that emerge for gaming or media applications? Topic 5 - How does access to data models fit into all of this?Topic 6 - I noticed your company did some articles on Covid-19, can you explain what is going on there?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Marc Tremsal (@mtremsal, Director Product Management @datadoghq) talks about the intersection of observability and security, if SRE needs a DevSecOps transition, using security data for modeling, and tips to make immediate impacts on overall security.SHOW: 454SHOW SPONSOR LINKS:Studio 3T - HomepageStudio 3T - 30 Day Free TrialTaos HomepageTaos - Gartner MQ - Cloud Professional ServicesDatadog Security Monitoring 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Datadog Security MonitoringTopic 1 - Welcome to the show. You’ve played a role in helping to design systems that secure some of the most critical environments in the world. Tell us a little bit about your background.Topic 2 - We’ve talked about monitoring, observability and in various ways “security”, but how do you see all those things beginning to come together more these days? Topic 3 - As we get into more distributed environments, especially for security (authentication, encryption, key-management, proxies, etc.), how should people think about a framework to have visibility and be able to take action across these distributed systems? Topic 4 - Is this visibility of security-related activities (or potentially security-associated) mostly useful for real-time security threats (e.g. “we’re being attacked”), or can it also be used for more long-term types of activities (planning, threat modeling, chaos engineering, etc.)?Topic 5 - Can you share with us any customer-centric stories of how this is helping companies deliver better services, or more uptime for their services?Topic 6 - What are some tips you can share with the audience today that would help them make immediate impacts to how them monitor for security? FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet

Venkat Rangan (Co-Founder & CTO @ Clari) talks about AI and application into more mainstream areas and revenue generation.SHOW: 453SHOW SPONSOR LINKS:Taos HomepageTaos - Gartner MQ - Cloud Professional ServicesStudio 3T - HomepageStudio 3T - 30 Day Free TrialDatadog 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-shirtCLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwPodCTL Podcast is Back (Enterprise Kubernetes) - http://podctl.comSHOW NOTES:Clari websiteTopic 1 - Venkat, you have a very interesting background as a technologist in our industry. Give everyone a brief introduction and if you don’t mind also tell everyone a bit about being a member of the Forbes Technology Council. I believe you are our first guest from there.Topic 2 - Today we’re going to dig back into AI as a topic. Let’s start at the start. In your current role you have been involved in technology over the years and Clari has been around for awhile. What compelled you to focus on this space?Topic 3 - AI has suffered from a perception issue. It often is seen as unapproachable with a pretty high barrier to entry. We’ve spoken to companies in the past about specific industry or vertical applications (manufacturing for instance). Many architects and our listeners are practitioners vs. data scientists. How do we solve this problem and “bring AI to mainstream”Topic 4 - In order for that to happen, what does our industry need? Is it SaaS based, services from public clouds, etc?Topic 5 - Having been in field sales for years, it’s always been somewhere between complete and utter guesswork all the way to precision, rocket science level analysis. - What are your thoughts here and how can AI improve this situation?Topic 6 - What’s next for industry? What are the use cases both today and in the future?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet