cloud2030

How do we improve the time to decision for CIOs? Today we talk about general business practice and how we can help. Technical innovators and architects create value for the teams that they support. This can either be from an automation perspective, which is what RackN does, or from a data perspective, which Tyler describes in the podcast today. These are real challenges. When we flip the script and talk about the miscommunication between how CIOs see business challenges and translate business challenges into technical delivery, however, we get into a fascinating set of discussions where Joanne brings up some key challenges for 2023. We also discuss mapping those from CIOs into implementation, followed by ultimately trying to find ways that people can make fast, valuable decisions that feel right. This conversation is rooted in important conceptual executive level thinking. We’ll include the list of points that Joanne talks about below as well as in the show notes, and I highly recommend you check those out. Joanne Friedman’s Key Challenges for 2023 1. Tackle inflation and margin pressure 2. Migrate supply chain disruption 3. Make sustainability a pillar 4. Calibrate talent management strategy 5, Streamline procurement and sourcing 6. Strengthen digital thread 7. Prioritize innovation initiatives We try to name these key challenges, but in a lot of cases we are talking about the list or the graphic. You’ll need to refer to the show notes in order to see the complete one. Transcript: https://otter.ai/u/sFESW3yziGOolNbiyt1TlY_IA-M?utm_source=copy_url Image: https://www.pexels.com/photo/man-holding-clapper-board-1117132/

This episode is a one person retrospective on Cloud 2030. As well as what we want to be talking about and doing over the next year. I hope you'll take a second and listen to my reflection on what we've been talking about and where things are going. Think about what you want the show to be. This podcast is structured around the discussions we come up with together, as well as current events. We try to think deeply and in an unusual way here, and I hope you're getting a lot of that. Transcript: https://otter.ai/u/xg4Z6Q8pVYZHBPDCNUPII9Oql6Y?utm_source=copy_url Image:https://www.pexels.com/photo/a-man-takes-a-photo-reflection-of-a-vehicle-side-mirror-2887774/

Hazel walks us through the Hackyderm.io leaving the basement migration. We also talk much more generally about Mastodon fediverse and scaling distributed systems. This podcast is like a super class in what it takes to scale infrastructure and systems, especially live and under duress. Every minute of this conversation is worth listening to twice. Check out these resources as well: * https://hachyderm.io/@hazelweakly * https://opalstack.social/@d3cline/109638734488964593 * https://community.hachyderm.io/blog/2022/12/03/leaving-the-basement/ Transcript: https://otter.ai/u/FBIjekCBWcd8tlj1v-knMUxuuMc?utm_source=copy_url Image: https://www.pexels.com/photo/elephant-cub-kenya-savanna-66898/

Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data. An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still only touch the surface. References: https://yago-knowledge.org https://en.wikipedia.org/wiki/Ontology Transcript: https://otter.ai/u/rP_4gi-iDont0r2CaZlmGkYLRiY?utm_source=copy_url Image: https://www.pexels.com/photo/apples-and-leaves-on-books-14098062/

We get an update for the first time in four years about Chick-fil-A edge Kubernetes clusters that gets to the heart of how building distributed infrastructure works and what the challenges are. Article: https://medium.com/chick-fil-atech/enterprise-restaurant-compute-f5e2fd63d20f We had a fantastic conversation about laying the foundations for this. We came away with two really important thoughts about what edge infrastructure looks like, how you pick it, can Kubernetes be used, what is IoT and integration, and the design considerations that go into building this environment. Listen to this podcast as a preview for a longer article. Transcript: https://otter.ai/u/k3Y7S3Hoa0rPZZ8_L5vTn4SNwGI Image: https://www.pexels.com/photo/cows-on-field-on-hill-in-mountain-landscape-8899447/

Our mini episode today is a short discussion of API delineation and abstractions for platform engineering. This was a short intro discussion, and it is especially interesting because platform is a major topic we will be exploring in the coming year. We highlight the challenges of finding the right abstraction points as well as building front end and back end automation. Transcript: https://otter.ai/u/5gzoEliQ5H7N5LnGSP6sdOFNjv8 Image: https://www.pexels.com/photo/white-paper-rolls-on-white-table-7897470/

Today is a one on one discussion between me and Rocky Grover about infrastructure, infrastructure patterns, AI, and how all of these systems connect. We think deeply about what it takes to design great systems and cover a ton of ground to connect it all back together into systems design. Rocky has a lot of depth of experience here. Transcript: https://otter.ai/u/EYgaZUm5s36KYrUhDIwcXTkLHcA Image: https://www.pexels.com/photo/bird-blue-zoo-large-52549/

Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing. The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the data control plane, as part of the data so that all of the systems can participate in it. We also talk about data mesh a lot in that context. Transcript: https://otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4 Image: https://www.pexels.com/photo/pensive-ethnic-man-listening-to-answer-in-paper-cup-phone-3760607/

If you love data and data context formats for exchanging data, you will love this conversation. Today’s episode is a deep conversation about the potential ability to define ways in which we produce, store and share data, providing context using markup languages, and then being able to extend that. It’s a fascinating conversation about how much we could improve our use of data if we were able to provide more context about who wanted to see it and what relevance it had. We also have some interesting conversations about data migration and how we share information. Transcript: https://otter.ai/u/S9_tibMGhkoajG0bP8LaciJ32Ys Image: https://www.pexels.com/photo/a-grayscale-of-a-man-making-a-frame-with-his-hand-10839215/

Today we talk about backstage.io, and we have that conversation centered around a demo done by one of the RackN and interns, Zander Franks. Check out the demo video here: https://youtu.be/cAQQOmKz4OI Zander has been exploring with the backstage to Digital Rebar integration, and the conversation that results explains backstage in some fundamental ways and also what it takes to build good developer portals. You will find in this episode both the broader information about how to do integrations where you have a developer portal as a front end and the key insights about how backstage works. To get the most out of the backstage pieces, you will definitely want to see the video on Youtube. Take time to enjoy this whole podcast, both in video and audio format. Transcript: https://otter.ai/u/xWx-q_ZvK4oX1sDJS09F1BsaZZI Image:https://www.pexels.com/photo/wood-fashion-man-people-5650782/

We discussed the implications of chat GPT for it and the industry. In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems are going to get built. We come to some very interesting conclusions. Transcript: https://otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzE Image: https://www.pexels.com/photo/surprised-young-woman-browsing-mobile-phone-3771127/

What is the architectural balance between learning curve, architecture, building things that can scale while acknowledging overhead, and the attitude of just get it done? Don't make my tools complex and let me be very productive quickly. If it doesn't scale, then we see this as an ongoing challenge. Two engineers from RackN led today’s discussion in which we really talked about the balance that we try to achieve at RackN as we design our product, with the understanding that, ultimately, scale really does matter. If users have trouble understanding how the product works, at first, that learning curve can push people away, so that they never actually get into the product. That’s where finding the right balance is absolutely essential to success. Transcript: https://otter.ai/u/DAfKcHVBAiOY5EuReW1krDYsqso Image: https://www.pexels.com/photo/anonymous-woman-showing-sketch-of-trendy-stylish-outfit-7148032/

We do a 2022 retrospective slash 2023 prediction episode - a sort of end of the year classic for us, except our predictions and look ahead are different from most people's. We're looking at some broader trends around software, build materials, impact of GPT (which will be a future episode), edge Technology, cloud adoption, security, faults and failures. Not your garden variety look back look ahead type of show. Transcript: https://otter.ai/u/IzKlo7CAljPkSzmyV5qLy5kLPj0 Image: https://www.pexels.com/photo/binocular-blue-sky-daylight-discovery-221538/

Platform engineering is a topic that seems to be generating a lot of interest going into 2023. It’s sure to be one of those things that enterprises spend a lot of time arguing about and telling each other that they're doing it wrong. In this podcast, we dissect why platform engineering seems to be so controversial, and what we can do to help make it more understandable. We break it down into DevOps components, team components, Dev components, operations components, and ultimately talk about long term trajectories of how all this stuff is going. Image:https://www.pexels.com/photo/person-skating-on-skateboard-ramp-1527241/ Transcript: https://otter.ai/u/SAAMNdHZh9lEeHrBxwcWmUxuDhs

There’s a lot to the evolving world of web three, crypto, and distributed infrastructure blockchain, jump and distributed ledger. That environment has changed dramatically in the last several weeks with the crypto winter followed by the ft x implosion. It has really changed people's perception of the market, which is much broader than just crypto but yet they are very closely coupled. In this podcast, we're going to discuss what happened and what the ramifications are, why things like this do happen and how the industry around web three and smart contracts and various applications for this technology can or should pick up the pieces and continue. Image: https://www.pexels.com/photo/man-fixing-vehicle-engine-2244746/ Transcript: https://otter.ai/u/Uh6G4B_NABZ6YO9jD0aORuOYrz0

How does the Kubernetes admission controller work, what are the failure modes and what do we need to guard against? Today, we discuss almost everything that you need to know to understand the admission controller process better and to think about it in a secure, robust and resilient way. I can't think of a better primer on today’s topic and Kubernetes architecture more generally, I am certain you will enjoy the discussion. Transcript: https://otter.ai/u/RG9oPvwRtpofwUfg0rXLMKdV50I Image: https://www.pexels.com/photo/selective-focus-photography-of-traffic-light-1616781/

How do we make social networks safe? Who we make them safe for is really important, and today we talked about making them safe for brands, advertisers and communities. These groups want to organize in technical and professional ways, not just to prevent harm for the users or the safety of the users from persecution. We drilled into Mastodon specifically as a haven for Twitter users and how the federated system that Mastodon uses could actually be a really fantastic commercial model for brands that want to go beyond advertising to focus on content generation and sharing. Transcript: https://otter.ai/u/1m_t3Bz0yaucmNe5MFm_ROfXv1k Image: https://www.pexels.com/photo/black-and-white-warning-sign-13727202/

We dig into the news of the day instead of a scheduled topic on today’s podcast. This news was about Twitter, and what is going on in the social media landscape. We have a fantastic 2030 style conversation, not specifically about Twitter, or even its new owner, but social media and its needs, how people think about social media, what societal purpose it serves, and how we construct the back ends to support those systems. We talked about alternative platforms and historical platforms, as well as objectives and benefits of a social media platform including content moderation and who pays for it. A fascinating conversation for everybody who's consuming social media. Transcript: https://otter.ai/u/yLpHcxsbpGojZgBuckid_TLT7JI Image: https://www.pexels.com/photo/green-grasshopper-on-grass-in-nature-7987527

Klaus and I go through what happened at the Kubecon North America event in Detroit. Specifically, lessons learned in watching how the community reacts to new technologies like CRDs, declarative programming, and cluster APIs. We also discuss the health of the community and the operators and vendors who were involved. We give our impressions and insight - this conversation deep dives into practical use and futures in Kubernetes. Transcript: https://otter.ai/u/8sNj_ZMTbKuJxAhOZhlvLAckWhc Image: https://www.pexels.com/photo/elderly-man-and-woman-looking-outside-window-7551662/

Distributed ID is a web three concept of being able to use zero trust and identify users without having a central authority. In this conversation, we talk about critical concepts like Open ID trust government actions, and how this could be influential and important in a web three and IoT context. We really drill into how the system works, and I know you will enjoy the conversation Transcript: https://otter.ai/u/X_5lffVEG0LUTgsyoDOx5sJDwYM Images: https://www.pexels.com/photo/person-putting-a-passport-on-bag-842961/

How does the moniker Supercloud apply to how cloud providers are changing over time? Specifically when facing market pressures, trying to lock in, get bigger and become essential. Today we discuss the changing nature of service providers, specifically cloud providers. This topic has been coming up on Twitter, and I know you will find this conversation fascinating. It talks both about the hypothetical and very practical drivers behind concepts like supercloud. Transcript: https://otter.ai/u/MjuLlkt2JO095bMgPHi-rqeaqi8 Image: https://www.pexels.com/photo/flying-airplane-in-the-sky-12846027/

How do Helm charts and operators interact with Kubernetes? Today we have a fascinating discussion about the interesting components of Kubernetes including Helm charts, admission controllers and things that are changing and being revised and updated. We discuss potential topics in anticipation for Kubecon, and if you're at all interested in Kubernetes, whether you're attending the conference or not, you will find this to be a must follow list of topics related to Kubernetes. Transcript: https://otter.ai/u/I9Fyk_wiGxwvtha_tESikR2Bj3U Image: https://www.pexels.com/photo/man-in-black-jacket-standing-in-front-of-red-and-blue-building-5615440/

What happens in the age of cloud scarcity, and are the major public clouds going to become our next OPEC, where they regulate and control prices to such a degree that they can float things up and down? In doing that, does that mean that cloud computing has become a commodity that can be traded and bought from different providers with a marketplace? All of these questions and more are on our minds as we think about how the market for compute will evolve in the future. Is there a coming compute scarcity based on greenhouse gas or silicon limitations or the ability to generate power? All of these things could have major impacts on how we make choices to consume compute. In our discussions, a lack of resources is not the driving factor that we see - it's more about the market power of providers. Transcript: https://otter.ai/u/nHY8KLgcaNbu_hp6TJkKMOgMpFI Image: https://www.pexels.com/photo/fuel-dispenser-1563510/

Our discussion about development methodologies quickly turns into one about product management methodology. Those things are interlinked, and we spend a lot of time talking about how product management and the influence on user and operational experience has been transformed by the forces of the market. We also discuss how difficult it is to then organize team development processes to fit these quickly evolving, targeted product delivery challenges. It’s a fascinating conversation about just how interlinked our development process is to the way we consume products in general. Transcript: https://otter.ai/u/_Kljix8Hom5nhuhMbkDISjOL6fM Image:https://www.pexels.com/photo/newlywed-couple-showing-each-other-tongue-12194401/

We talk about understanding analyst reports and engaging with analysts. How do analysts shape the industry and the industry shapes the analysts? Today we discuss how every part of this ecosystem has to work together in order for us to build serviceable technology, because fundamentally, we count on the analysts to help understand what's ready, what the problems are, and what's working or not working in the enterprise. It's easy to pitch stuff, it's much harder to use stuff and sell tech, and the analysts are a reasonable filter for that, and we break down how and why. Transcript: https://otter.ai/u/A3BlbqbPObA1_2erEfKZsFPqURs Image: https://www.pexels.com/photo/a-person-holding-a-spoon-3889850/

Special guest Bill Mulligan (https://twitter.com/breakawaybilly/) talks to us about the use cases for BPF and how it works. We discuss eBPF, the kernel extensions that allow you to write small programs that work inside of kernel space in a safe sandbox way. These have a lot of applications, and they’ve been creating a lot of hype inside of the Kubernetes community as a way to address networking shortfalls. Our conversation starts broad, but eventually zeros in on eBPF. I know that you will learn a lot about how eBPF can enhance and improve your infrastructure operations environment. Transcript: https://otter.ai/u/VhW6tKfPHD0yky63eDneQ3dIScQ Image: https://www.pexels.com/photo/cobblestones-in-a-sandpit-8180645/

How do you build, manage and fund your systems? Today's episode is about talent, staffing and hiring the right people to do the job for you. How you make hiring decisions is inexorably linked to how you think about solving, funding, and structuring solutions around those problems. You cannot hire people without also having straightforward answers for those questions. We have a fantastic conversation about staffing, that we find to actually be about building the foundations for your hiring. Transcript: https://otter.ai/u/DPCdAh4CiJPXOQss2WpX2INysfA Image: https://www.pexels.com/photo/cute-girls-in-halloween-costumes-standing-outside-modern-house-5859723/

How do we help junior people build the right skills to do advanced automation system administration, and actually build systems that are resilient and robust? Then, after understanding that that is a learned skill that's predominantly learned by doing the work, troubleshooting. We started the conversation talking through how to teach troubleshooting and find opportunities for that. But we transformed the discussion into the challenge of teaching people skills that they then walk away with, that, as you're mentoring people, you're increasing their value, and potentially giving them the keys to leave and find a better job. We talked about this as an industry trend, and some expectations on what you can do about it, and how you can approach that situation. Overall a very robust conversation about building great teams, through junior engineers, and what it takes to be thorough and complete in a process like that. Both from what you can do, and what you have to watch out for. Transcript: https://otter.ai/u/cOP6v9HEYv6_YVrrRwA_sxjvNaQ Image:https://www.pexels.com/photo/a-girl-using-binoculars-9290029/

VMware Explore is a show at the end of August where VMware brings together its community, its vendors and tells what's going on. VMware is dominating in their market, they are making the right moves, and doing a good job for their customers and their partners. This is a surprising summary of the conversation, because this conclusion is certainly not where we started out. In this conversation, we start from the position of VMware not doing what it needs to do. It's fumbling its message, it's not doing the right things. Then we talk through all of the things that contribute to VMware’s position in the market. If you listen through, the conversation follows a fascinating path to our concluding position. Transcript: https://otter.ai/u/NO-lHxp4EfDy9cmyP8Yr-dayi9Q Image: https://www.pexels.com/photo/man-in-brown-leather-jacket-using-binoculars-3811807/

How do you build effective, productive platform teams? What should their mission be, and what type of tools and dangers do they have? We start by questioning if there are such things as platform teams and their roles, as well as how they can go awry in modern organizations. At the end, we recognize that they do and can provide a very important role. In this conversation, you will learn the right ways to form a platform. Transcript: https://otter.ai/u/Kf-Hi9H6bTmhufavGaa1ae9w_R4 Image: https://www.pexels.com/photo/man-beside-woman-in-train-1970830/

How do supply chain, ecologic, capital, and political issues limit our ability to continue to build big data centers? Today we expand on this continued conversation. We're already seeing this in the news, and we need to rethink how we are building a lot of the core infrastructure we depend on. That includes power, data centers, networking and connectivity. Potentially even human logic, which we get into. The purpose of this conversation was to look at the bigger picture, and then pull it back into how we build IT systems. Transcript: https://otter.ai/u/herJl7zHewHfDIIEhdI_tdUewA8 Image: https://www.pexels.com/photo/white-paper-cup-on-top-of-gray-marble-surface-1101124/

How do we build advanced innovative products and companies? We discuss the Chips act and global supply chain of silicon and manufacturing in today’s episode. We took that apart into its component parts: supply chains, raw materials, power, whether talent, real estate, and put it back together in ways that look forward towards how we think these forces and global politics are going to shape manufacturing for the next decade. Absolutely fascinating and critical discussion that will impact every single person's health, their careers, and frankly, what they can buy on the store shelves. Transcript: https://otter.ai/u/JPNiGOfYD8WZzyqGcbQ9y4biN5k Image: https://www.pexels.com/photo/closed-up-photo-of-black-dell-central-processing-unit-1432680/

When working with orchestration in automated systems, how do you find the right balance between things that are event driven and things that are workflow driven, or more linear? We go through some of the history of where we went from linear orchestration (Ansible) to timed orchestration (Chef or Puppet). We also discussed SaltStack, which had an event driven system into it, but didn't gain the traction that we might have expected as we look at the amount of orchestration systems that are now coming to light. In this conversation, we address the balance between when you orchestrate and when you want to do workflow and linear transactions, and how to find that sweet spot. One of the things that we've determined is, there aren't a lot of tools that hit that sweet spot. And I think if you listen carefully, you'll see why. Transcript: https://otter.ai/u/ynb8KndfUhKsTvQG6965ktepv-Y Image: https://www.pexels.com/photo/a-choir-singing-while-holding-a-flower-7569413/

How can we structure incentives to build strong, resilient infrastructure? Today we talk about power infrastructure. There are a lot of commercial incentives for internet providers and for consumers to have good internet, but there aren't the same incentives for consumers to have reliable power systems. We're seeing a rash of failures and faults in the grid. In this conversation, we talk about storage systems and resilience of the grid, not by putting more wires in the ground but by actually creating incentives for people to have independent supplies, and independent sources of generation that can support them. Image: https://www.pexels.com/photo/orange-battery-on-white-surface-7012272/ Transcript: https://otter.ai/u/DENsKVB5VibrKpDCLAjoFj4Jrqs

We continue our hiring advice series in this episode. It's a really powerful thing to have people who have established careers, think about what would have made a difference, think about what is important when we work with and mentor inexperienced and junior people who are building a career. This episode is full of thoughtful advice on how to build subject matter expertise, and the ephemeral qualities that make somebody a good leader or a good worker, or what we were calling an executive function. If you are building your career, or helping mentor people who are building a career, you will get a lot out of this. PART 1: https://the2030.cloud/2022/06/19/the-career-advice-we-wish-wed-gotten/ Image: https://www.pexels.com/photo/person-s-hand-touching-wall-626163/ Transcript: https://otter.ai/u/t2JEhT0XXcbPvDVuDM-OTRP_G84

What are the challenges of interconnectedness and transparency, specifically concerning Kubernetes and cloud native applications? We have a fascinating discussion sparked by the question of how exposed we are. What happens when something we don't know is connected is open and exposed as hackable? What happens when it closes, and we didn't know? We talked about how this is inherent in the architecture of cloud native applications and what you can do about it. This discussion should get you thinking about how to architect not just your applications, but the platforms that you need to connect together to make them work. Transcript: https://otter.ai/u/6m6yPHG7cV_lrmdOEPGyHmo1ifM Image: https://www.pexels.com/photo/men-pulling-on-a-rope-7678454/

How do you moderate content, and why? What is important to enforce and what are we thinking about? We talk content moderation all the way to the point of open source licenses for different rules of engagement depending on the space you are in. How we got there is fascinating and important. Transcript: https://otter.ai/u/UK3qGMyAc4EqSjHzeUwOW3MbgI0 Image: https://www.pexels.com/photo/police-fun-funny-uniform-33598/

How do you build GitOps, infrastructure and systems relying on events and monitoring, when you need to revert to a polling loop, or augment a polling loop with an event system? Today, we drill into concrete technical details about events and monitoring. We also suggest practical functional advice on how Git Ops works, how systems work, and how you can build a resilient system. Stick around for a bonus at the end of the discussion, where we talk a little bit about complexity! Image: https://www.pexels.com/photo/green-and-black-coffee-mug-on-air-905905/ Transcript: https://otter.ai/u/udK3y3upQMszo2IVtbrdGigmehE

How do we handle distributing identity? DID stands for distributed identifiers, and today we talk about Web3 as well as distributing identity. Distributing identity is not just about people and personal identity, but also about things and how we identify and track different things in a distributed way without a centralized infrastructure. That's fundamental to what Web3 is talking about. How do we break down the centralization that we have been building over the last 15 years of what Web3 people call Web2, and look at ways to do it in a decentralized way where the trust is between the parties involved? Where it's set up in a way that you don't have to have a centralized trust authority. We spend a lot of time talking about this, what the spec is, what it means, and looking at it in a broader context. Transcript: https://otter.ai/u/lT1uCvM01HxlhROTlGBkq2U1toU Image: https://www.pexels.com/photo/two-book-on-woman-head-1215714/

Human factors make governance as code a challenge - today we discuss why looking at things like audit and how we determine what has happened and respond to it in an automated way, may be a great first step to adding controls into a system. We talk about a lot of human factors of what makes it hard to create a governance system, or what creates a biased system or an unevenly governed system. We spent the first couple minutes of this podcast talking about our agenda, and those conversations spell out a lot of interesting topics that we will discuss. So hang in for those first couple of minutes, and then we will get straight to the governance. Transcript: https://otter.ai/u/aqx5-wivDgPARqAXwXGCIm-bO5U Image: https://www.pexels.com/photo/belgium-flag-on-top-of-the-building-532864/

How do we use chaos monkeys in real life, and practically? This happens all the time when we have failures. The Rogers failure that took out the internet and cell phone use in Canada last week was the start of our discussion. Predicting how things are going to go out is a common theme for chaos monkeys, and really comes back to how we test infrastructure. Should we be putting it under stress in planned ways like Chaos Monkey, in order to ensure that our increasingly internet and power dependent society is prepared for the inevitable outages? We have a really fascinating discussion about what it would take to make this type of practice real, including alternatives that people can look at today. Transcript: https://otter.ai/u/D0ZV5c3ikvAiinsK7ugf_duCjv8 Image: https://www.pexels.com/photo/monkey-sitting-on-a-fence-and-looking-at-its-hands-11999152/

Today, we sat down and talked about current events and how things are going. We don't need to have an agenda to have a really interesting conversation, and that is exactly what happens! We start with some current events, the Rogers outage, Elon Musk, Twitter, GDPR, and the Jim's West space telescope. Then we put those things together into common threads about automation, autonomous cars and how society interacts with these things. If you're looking for deep tech, this is not your podcast. Otherwise, enjoy listening to this casual conversation! Transcript: https://otter.ai/u/9ZNfCBMTueZw1ZOTJHY_e3DeZkQ Image: https://www.pexels.com/photo/unrecognizable-fisher-in-boat-on-lake-under-net-at-sundown-6711114/

How do we manage complexity? Today we discuss sources of complexity and explore design rules. We also talk about how you think about the systems that you're building in ways that allow them to handle complexity gracefully. The simple answer is to have people who are good at thinking about complex systems. Part of that is experience in looking at complex systems, seeing how they operate and being ready to deal with that type of thing like training pilots. How we get to that insight is really significant, and it impacts how you build teams and systems. In addition to how you build systems that defend themselves that are naturally complex, but have the right defense mechanisms to make them more stable over the long term. Transcript: https://otter.ai/u/f2t7gZfQhzG1Dgeg5ePwFHZOTmw Image: https://www.pexels.com/photo/colorful-funny-kites-flying-in-sky-in-urban-environment-3872003/

What makes people interested in new tech versus the stable, boring, things that keep the lights on work? It feels to me as if we're in the phase of development where we start saying, I need to make sure this all works. I've followed all the cool stuff, now I need to make sure everything's working and get my ROI out. This conversation questions that assumption, talks about why we care, what we're really trying to accomplish, and digs into what is boring and what is sexy? And what makes them different. Transcript: https://otter.ai/u/vt5nB06XGD5pcXhAAjylwtFlS4U Image: https://www.pexels.com/photo/woman-in-black-shirt-sitting-on-blue-chair-4842498/

We continue our Governance as Code discussions in today's episode. We started by very broadly looking at Governance as Code generally, but quickly drilled down into Infrastructure as Code meets Governance as Code focused discussion. Understanding that intersection is critical to building something that is both automated and governable. The topic explored how we audit controls for systems. We also need to make sure that when we build infrastructure, it's following our policies. The challenge here is making sure that what we've automated is conforming to our governance. Image: https://www.pexels.com/photo/group-of-people-in-building-structure-2100942/ Transcript: https://otter.ai/u/-vI03TkWcLpvTIBRrrKE9DugYvw

Can we use DLT and cryptocurrencies for microtransactions? Today we break this down into component parts like what is a microtransaction? How does crypto help us? Does crypto help us? In Cloud2030 discussions, we break things down. We explore how it helps, what it helps, what problems it does or doesn't solve, and what problems does it create? In this conversation we find some intriguing questions, and a few answers too towards the end. It’s a very enlightening conversation about microtransactions, DLT and crypto. Image: https://www.pexels.com/photo/miniature-car-and-a-human-figurine-10215975/ Transcript: https://otter.ai/u/z-osMhCB8Qe0bf040WRzJAjuDCM

How can we make Open Source go faster, and how can we improve its interaction with vendors, especially hardware vendors? We explore different ways that open source helps foster innovation, as well as where it creates ethical, financial, and legal conflicts in that process. Thinking through how we want to bring vendor information into Open Source communities is an ongoing challenge. Transcript: https://otter.ai/u/gTvOzZXkvWfYPOkVSvkAbJRrIB4 Image: https://www.pexels.com/photo/closed-blue-and-red-wooden-doors-350626/

We started with a question in our warm up that was so motivating and exciting for the group that we continue talking about it the entire time! In today’s episode, we discuss career advice, as the group looks back on things that would have helped them at the beginning of their career. We have a fantastic conversation full of details, stories, and sage advice. Even if you are well on your way in your career, you will get a lot out of the conversation. Image: https://www.pexels.com/photo/woman-in-blue-dress-shirt-wearing-black-framed-eyeglasses-4101202/ Transcript: https://otter.ai/u/EyewEdhYLhxKkJNo2qKlVJq8-tE

We conceptualize data centers as core infrastructure components in today’s discussion about green infrastructure. In our discussion about data centers as an industrial load that have peaks and valleys in demand, we dive into the grid as a connected system. We discuss how storage can disrupt the way power is generated and distributed, not only in the United States, but also around the world. Distribution systems play a huge role in green infrastructure, just like networks. The way we assume that networks are available and robust, we have made the same assumption about power generation in the world to run these data centers. These topics are all tied together, and you will see a lot of insights and similarities in how we solve and build green infrastructure. Transcript: https://otter.ai/u/3W7DIwICzz1fhNR4MofvJvAzOGI Image: https://www.pexels.com/photo/utility-tower-2402438/

What makes Open Source projects work? Today we discuss open source business models, motivations, what and how these projects work. We moved from that into testing quality maintenance and ultimately SpaceX and Tesla. This conversation dives into how Elon Musk is transforming the industries that he's in by looking at the delivery process. Transcript: https://otter.ai/u/MuWt-gSkzOnUjFz8ioI3dNtAsa8 Image: https://www.pexels.com/photo/falcon-9-hangar-lights-machines-60130/