DevOps Paradox
What is DevOps? We will attempt to answer this and many more questions.
Episodes
DOP 364: How to Avoid Burnout as a Leader
#364: Your CEO comes back from a leadership offsite talking about burnout-proof leadership and AI transformation at scale. Two weeks later you're working through lunch, you're working through dinner, and Slack never stops. Deployment frequency is up. Incidents are up worse. So who was that program actually protecting? In this episode, we speak with Dr. Victoria Mensch, Founder and CEO of the Silic
DOP 363: Is Your Website Agent-Ready?
#363: Three waves of the web, and you are late for the third one. The 90s were about getting a browser to render your page at all. The early 2000s were about SEO, or as Darin puts it, sell me all the ads ready. Now it is agent ready, and Cloudflare built a scoreboard for it at [isitagentready.com](https://isitagentready.com/). The devopsparadox.com site scored about 70 out of 100 and then went dow
DOP 362: Feature Flags vs Canary Deployments
#362: Feature flags or canary deployments - do you need both? Viktor puts it to Alex Casalboni from Unleash, who says he argues about this with his colleagues roughly every day, and the answer lands clean. Switching a hostname, a database, an API vendor? That is infrastructure, nothing to do with who the user is, so keep your canaries and your blue-green. But a canary switches one thing at a time.
DOP 361: When Code Got Cheap, Reviewing Got Expensive
#361: Picture a 6,000-line pull request landing in your project from someone you've never heard of. Every test passes - yours, theirs, all of it. And you can tell it was generated. Not assisted. Generated. What do you do with it? Viktor's first move is to poke the premise: how do you even know it was generated and not assisted? You can't. Nobody can. That distinction is already gone. So the real q
DOP 360: What Is an AI SRE?
#360: Assume your production systems go sideways at 3:00am. Your phone doesn't ring. You wake up to a clean incident report - the system caught the problem, fixed itself, and left a Slack note saying it handled things at 3:15. Would you trust it? Viktor wouldn't, not at first. Same as a new hire, a new tool, a new anything. Trust gets earned. A few months in, if it hasn't messed up, then maybe. So
DOP 359: Demos in the Age of AI Agents
#359: When was the last time you sat through a 30-minute product demo and walked away actually knowing anything? You would learn more from five minutes hands-on than an hour of watching someone else drive. Now you have help. An agent can watch the 30-minute video, play in the sandbox, read every page of the docs, and come back before you finish your coffee with a verdict - tried it, does not work,
DOP 358: Just-in-Time Access for AI Agents
#358: Production is on fire. You need access to one table you have never touched. So you file an access request, then phone the desk to say you filed it, then Slack them to say you phoned, then walk over to say you Slacked. Twenty-five minutes later the incident has resolved itself and the customer has already left. That is the setup, and Ofir Stein has lived the other side of it. He is the CTO an
DOP 357: What Is Spec-Driven Development?
#357: Type a prompt, get code, fix the hallucinations, type another prompt. That is vibe coding, and it is a fine place to start. It is a terrible place to stay. So what comes next - and is spec-driven development actually it, or just waterfall wearing a new hat? Here is the reframe that runs the whole conversation: everybody already works from a spec. Even the person who swears they are winging i
DOP 356: Warehouse Robots Are a Distributed System
#356: Fleet management means one thing to a DevOps engineer and something completely different to Tomas Kovacovsky. To Viktor it is a CD problem - a fleet of Kubernetes clusters he would rather not babysit. To Tomas it is hundreds of physical robots rolling around a warehouse, picking orders, dodging each other, and working very hard not to lose their connectivity. Tomas is the CTO of Brightpick,
DOP 355: Why AI Coding Slows Down Code Review
#355: Picture your engineering team a year from now. A coding agent doing the coding. A testing agent on tests. A security agent on security. An infrastructure agent on infrastructure. All of them wired into GitHub and Jira, all of them working right alongside the humans. Not science fiction either - Atlassian and GitHub are already shipping these features. So out come the stats everyone loves to
DOP 354: Your Dead Founder Trains New Hires
#354: How do you build a consent system for someone who is dead? How do you clone a voice so it cannot be turned into a deep fake? Miles Spencer built a company around those exact questions. Reflekta.ai lets you talk to a reflection of someone who has passed. His own father reads a bedtime story to his granddaughter every night and talks it through until she falls asleep, eight years after he died
DOP 353: A Person Owns It Not the AI
#353: Move fast and break things never meant be reckless. It meant do not stall out of fear, because something is going to break no matter how careful you are. The part everyone dropped from the sentence is the part that actually matters: and fix things fast. Break faster, fix faster. Take the second half away and you are just breaking things. So what changed with AI? An agent can take down a whol
DOP 352: No-Code Is the Guardrail Vibe Coding Needs
#352: Vibe coding is the latest version of a promise the industry has been making since the first generation of programming languages. Type what you want, get an app. Jeff Kuo from Ragic has been working on the no-code version of that same promise for almost twenty years. He has thoughts on why the promise keeps not quite landing. The honest answer is that AI-assisted coding is great for people wh
DOP 351: The Developer Job Market in the Age of AI
#351: Entry-level tech jobs are down 67% since 2022. Junior developer roles are down 40 to 50%. The instinct is to blame AI and call it unprecedented, but the layoffs are not the new part. The boom-bust cycle has happened before -- dot-com to dot-bomb, the 2020 hiring spree to the 2022 correction, now this. The new part is that the thing replacing the bottom of the ladder is not a cheaper human in
DOP 350: Context Is the New Bottleneck, Not Code
#350: The bottleneck used to be writing the code. Now it is feeding the agent enough context to write the right code. That is Patrick Debois' argument, and given that Patrick coined the term DevOps, it is worth paying attention when he says the discipline is shifting again. The model does not matter. The IDE does not matter. What matters is whether your team can capture the way you actually work a
DOP 349: Shadow AI Is Going to Be a Thousand Times Worse Than Shadow IT
#349: Every platform you already own is about to have AI baked into it. Not next year. This year. That is Ben Wilcox's blunt prediction, and Ben is the CTO and CISO at ProArch, so when he says shadow AI is going to make shadow IT look quaint, it is worth slowing down to figure out what that actually means. The data leaves your stack through tools you already paid for, through features the vendor s
DOP 348: Now It's Time to Panic
Something flipped this year. Chatbots were a toy. Useful sometimes, but a toy. Agents are not. Agents take actions, hold credentials, write code, move Kanban cards, and run on cron schedules. The window between "this is interesting" and "this is existential" has closed faster than cloud, faster than Kubernetes, faster than any prior shift. Viktor's read is blunt. One person can now build a bigger
DOP 347: Cozystack Turns Bare Metal Into a Managed Services Platform
#347: Andrei Kvapil has been around Kubernetes since the early days. Contributor to Cilium, Kubevirt, and a handful of other projects you probably use without realizing it. He is also the maintainer of Cozystack, a CNCF sandbox project, and the CEO of Aenix, the company behind it. The thesis: Kubernetes should be boring. Not exciting, not cutting-edge, not the thing everyone argues about. Boring l
DOP 346: Fighting AI in Your Project Is a Terrible Mistake
#346: Drive-by PRs, AI slop, maintainers burning out -- the open source world is having a meltdown and everyone wants to blame the robots. Viktor isn't buying it. The real problem started long before AI. Contributing to most open source projects has always depended on tribal knowledge and obscure docs nobody reads. AI didn't break that. It exposed it. When contributions were trickling in, you coul
DOP 345: From Chat Prompt to Working Software with Kiro
#345: Vibe coding works fine until your project gets complicated. That's the gap Amit Patel and his team at AWS built Kiro to fill. The tool launched with about six people in mid-2024, hit GA around October 2025, and the team still fits in a single room -- maybe a seven-pizza team by Darin's math. The core idea is spec-driven development, but not the kind where business analysts disappear for five
DOP 344: KubeCon EU 2026 Review
#344: Kubernetes is boring now. That's the whole point. KubeCon EU 2026 in Amsterdam -- likely the biggest KubeCon ever at more than 13,000 attendees -- made one thing extremely clear: the container orchestrator is done being interesting on its own. Every keynote, every new sandbox project, every vendor announcement pointed the same direction. AI. Inference. Agents. NVIDIA donated a DRA driver for
DOP 343: Your APIs Were Never Built to Be the Front Door
#343: Here's the thing about your company's APIs -- they were built for your own engineers to use inside your own software. Nobody designed them to be the front door. But that's exactly what's happening. Matt DeBergalis, CEO of Apollo GraphQL, makes a pretty compelling case that AI agents are turning internal APIs into the actual interface between companies and customers. Not the website. The APIs
DOP 342: Your Company Documentation Is Useless for AI
#342: Most companies have plenty of documentation. The problem is almost none of it is findable, current, or true. Between what's documented, what's actually true, and what people actually do, there are gaps wide enough to kill any AI initiative before it starts. Viktor makes a distinction that reframes the whole problem: there are two types of documentation. Why something was done -- that's etern
DOP 341: AI Widened the Highway but Nobody Rebuilt the Bridge
#341: Nobody's arguing about whether you need feature flags in 2026. That debate ended years ago. But the code flowing through those flags? That's a different story. AI is writing more of it than ever, review times are climbing, and delivery throughput has actually declined. Trevor Stuart, co-founder of Split.io and now running Feature Management & Experimentation at Harness, calls it the six-lane
DOP 340: Why Operations Teams Resist Every Technology Wave
#340: The smartest ops people are often the most likely to resist new technology -- and they're not wrong. If you don't change anything, nothing breaks, and nobody blames you. That's a completely rational choice. It's also the one that guarantees you fall behind. Bare metal to VMs, VMs to cloud, cloud to Kubernetes -- every time, the teams that played it safe ended up scrambling to catch up two ye
DOP 339: DNS Is Old Tech (And That's Why It Still Runs the Internet)
#339: DNS has been around since the 1980s. Nobody's writing blog posts about how it changed their life. But every single thing on the internet depends on it -- including all those AI tools everyone's excited about. Anthony Eden has been in the DNS business since the late nineties, when he was CTO of one of the first seven domain registrars after the .com deregulation. In 2010 he started DNSimple,
DOP 338: The Assembly Line Problem: Why Adding AI to One Step Breaks Everything
#338: Every company adding AI coding tools runs into the same wall. Developers produce more code, but features don't ship any faster. The bottleneck just slides downstream -- to QA, to security, to legal, to whoever comes next in the pipeline. And the team that got faster? They don't even realize the people upstream could be feeding them more work. Viktor's take: the fastest possible setup is one
DOP 337: Nanoseconds Matter - InfluxDB and the Future of Real-Time Data
#337: Time series databases have become essential infrastructure for the physical AI revolution. As automation extends into manufacturing, autonomous vehicles, and robotics, the demand for high-resolution, low-latency data has shifted from milliseconds to nanoseconds. The difference between a general-purpose database and a specialized time series solution is the difference between a minivan and an
DOP 336: Why Top Talent Won't Work for You Anymore
#336: The workplace is on the verge of a transformation as significant as the Industrial Revolution. Just as Bring Your Own Device policies emerged after the iPhone disrupted corporate mobile standards, we are now entering an era where employees may arrive with their own AI teams in tow. The question is no longer whether AI will change hiring and employment - it is how quickly companies will adapt
DOP 335: Stop Building Dashboards and Start Getting Answers With Coroot
#335: Observability tools have exploded in recent years, but most come with a familiar tradeoff: either pay steep cloud vendor markups or spend weeks building custom dashboards from scratch. Coroot takes a different path as a self-hosted, open source observability platform that prioritizes simplicity over flexibility. Using eBPF technology, Coroot automatically instruments applications without req
DOP 334: If Code Is the Easy Part, What Should Developers Actually Be Doing?
#334: The debate over whether AI saves developers time misses a fundamental truth: coding was never the hardest part of software development. Writing code is mechanical work - the real challenges have always been understanding problems, designing solutions, communicating with stakeholders, and navigating organizational complexity. AI is now forcing a reckoning with this reality, pushing developers
DOP 333: The Hidden Problems Behind Every Data Pipeline
#333: Pete Hunt, CEO of Dagster and early React team member, explores the evolution from Facebook's early React development through trust and safety infrastructure at Twitter, to building modern data orchestration tools. The conversation reveals how similar infrastructure problems plague every industry - whether you're launching rockets or managing porta-potties, the core challenges remain consist
DOP 332: 2026 - The Year of Discovery
#332: AI adoption in enterprise software development is accelerating, but operations teams are lagging behind. While application developers embrace AI tools at a rapid pace, those on the ops side remain skeptical—citing concerns about determinism, control, and a general resistance to change. This mirrors previous technology waves like containers, cloud, and Kubernetes, where certain groups initial
DOP 331: Looking Back on Our 2025 Predictions
#331: At the end of 2024, predictions were made about what 2025 would bring to the tech industry. A year later, on New Year's Eve, it's time to look back and see what actually happened. The prediction episode from January 1st covered four major topics: rug pulls from companies switching to business source licenses, the rise of WebAssembly adoption, a wave of company acquisitions, and AI becoming e
DOP 330: Merry Christmas (You Should Probably Be Doing Something Else)
#330: In this short episode, Darin and Viktor reflect on the holiday season. YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with us at: https://www.devopsparadox.com/contact/
DOP 329: Vibe Coding and The Technical Debt Time Bomb
#329: Vibe coding - the practice of casually prompting AI to generate code solutions - has become increasingly popular, but its limitations become apparent when applications need to scale beyond personal use. While AI-assisted development can be powerful for proof of concepts and small internal tools, the transition from vibe-coded solutions to production-ready applications often requires experien
DOP 328: The Real Cost of Build Versus Buy Decisions
#328: The build versus buy decision isn't as binary as most companies think. Every technology choice involves elements of both - you might use Linux (buy) but still configure and customize it extensively (build). The real question isn't whether to build or buy, but finding the right balance between the two approaches based on your company's resources, size, and unique requirements. Companies often
DOP 327: When AI Tools Go Rogue
#327: When AI tools suggest putting glue on pizza, it's a harmless laugh. But when autonomous AI agents start managing your infrastructure, the stakes become much higher. The reality is that current AI technology isn't ready for unsupervised deployment in critical systems, and treating it like it is could lead to catastrophic failures. The challenge isn't just about AI capabilities—it's about mana
DOP 326: Stop Reinventing The Wheel - Use Dapr Instead
#326: Microservices architecture has evolved far beyond simple distributed systems, but most development teams are still rebuilding the same foundational patterns over and over again. Mark Fussell, co-founder of Dapr and Diagrid, explains how his team at Microsoft identified this repetitive reinvention problem and created a solution that abstracts away the complexity of service discovery, messagin
DOP 325: KubeCon North America 2025 Review
#325: KubeCon NA 2025 wrapped in Atlanta with unseasonably cold weather and some significant shifts in the cloud native ecosystem. The conference showed fewer vendors backing CNCF projects on the show floor, with key concerns emerging around maintainer burnout—exemplified by NGINX Ingress being deprecated despite running on 40% of Kubernetes clusters worldwide. The event revealed a maturing ecosys
DOP 324: Kubernetes Resource Right-Sizing and Scaling with Zesty
#324: Kubernetes has reached a mature state where boring releases signal stability rather than stagnation. While the platform continues evolving with features like in-place resource updates in version 1.33, the real challenge lies in optimizing AI workloads that demand significantly more resources than traditional applications. The discussion reveals how auto-scaling capabilities become crucial fo
DOP 323: The Security Nightmare of Vibe Coding
#323: Vibe coding - the practice of giving AI a high-level description and letting it build applications unsupervised - has become increasingly popular among non-developers looking to quickly prototype ideas. While this approach excels at rapid prototyping and getting small, focused applications running, it creates significant security risks when deployed to production without proper oversight. Th
DOP 322: How to Build Apps That Never Go Down Even When Servers Die
#322: Peer-to-peer technology represents a fundamental shift in how we think about data sovereignty and application architecture. Rather than relying on centralized servers and trusting specific endpoints, peer-to-peer systems allow users to verify data authenticity regardless of its source. This approach eliminates the traditional point-to-point communication model where data flows from a specifi
DOP 321: Model Context Protocol for Standardizing AI Tool Integration
#321: Model Context Protocol (MCP) represents a fundamental shift in how AI agents interact with tools and systems. Rather than forcing models to guess the best approach for tasks like creating AWS resources, MCP provides structured context that guides agents toward organization-specific workflows and tools. The protocol serves as an API for agents, allowing them to understand not just what you wa
DOP 320: Why Dashboards Alone Are Not Enough for Incident Response
#320: In this episode, Darin and Viktor are joined by Jim Hirschauer, Head of Product Marketing at Xurrent, for a deep dive into the realities of incident management in today's complex IT environments. While dashboards and monitoring tools have become ubiquitous in operations centers, the panel discusses why these visualizations alone often fall short when it comes to actually resolving incidents.
DOP 319: AI-Powered Infrastructure: Beyond Hype to Reality
#319: The AI infrastructure landscape is evolving rapidly, but the gap between marketing hype and practical reality remains significant. While vendors promise revolutionary changes with each new model release, the true challenge lies not in accessing more powerful AI tools, but in developing the organizational workflows and individual expertise needed to use them effectively. Most people claiming
DOP 318: WireMock and the Changing Landscape of API Development Tools
#318: In this episode, we explore how AI is fundamentally reshaping the world of API development and testing with Tom Akehurst, CTO & Co-founder at WireMock. As AI agents become more prevalent in software development, the tools and practices around API design, testing, and maintenance are evolving rapidly. Tom shares insights on how WireMock is adapting to this new landscape and what it means for
DOP 317: The Human Cost of AI Automation in DevOps
#317: The often-overlooked human impact of AI's rapid advancement is creating unprecedented disruption across industries. Unlike previous technological shifts that affected one profession at a time, AI is poised to disrupt multiple sectors simultaneously, creating unprecedented challenges for workers, companies, and society. This episode covers why junior positions are already being eliminated, ho
DOP 316: Bringing Back the Original Internet Vision Using Tailscale
#316: In this episode, Darin and Viktor speak with Avery Pennarun, CEO at Tailscale, on the evolving technology landscape, specifically focusing on the challenges and advancements in VPNs and connectivity. Avery discusses the limitations of traditional VPNs, the advantages of Tailscale's unique approach to creating a secure virtual network, and the importance of maintaining a stable computing plat
DOP 315: Why Good Developers Spend More Time Designing Than Coding
#315: In this episode, the discussion centers around the critical importance of design over mere code writing in software development. The hosts reflect on their experience with coding tools like Cursor and Claude Code, noting their pros, cons, and the efficiency brought by AI in handling coding chores. They highlight the paradigm shift in developer tasks from writing code to managing and designin
DOP 314: Building Your Speaking Career From Meetups to Main Stage
#314: Geoffrey Huck joins Darin and Viktor to discuss the ins and outs of building a speaking career, starting from small meetups and leading up to major conferences. He shares his personal experiences, tips on overcoming fear of public speaking, and the importance of community engagement in the developer industry. Geoffrey emphasizes the need to keep slides minimal and engaging, and highlights th
DOP 313: Harnessing AI for Smarter Development
#313: In this episode, Darin shares his recent experiences using AI tools Cursor and Claude Code to improve and refactor Jenkins plugins. After receiving a recommendation to try out Cursor for code improvements, he tests it alongside Claude Code, comparing their functionalities and effectiveness. He describes his process and observations, noting that both tools helped identify performance improvem
DOP 312: Transitioning from VMWare to KubeVirt
#312: In this episode, the discussion focuses on the complexities and strategic considerations of migrating from VMWare to platforms like KubeVirt and OpenStack. Kevin Jackson, Director of Product Management at Trilio, joins the discussion to share insights on the challenges, benefits, and operational implications of such migrations. Topics include the intricacies of managing virtualization and cl
DOP 311: Harnessing AI for Accelerated Project Development
#311: In this episode, Viktor and Darin delve into the transformative impact of AI on project development. Viktor discusses how AI tools like Claude Code and Taskmaster have significantly reduced the time required for project development, bringing it down from a month to just a few days. They explore the components of AI-driven development, such as LLMs, agents, and MCP servers, and the roles they
DOP 310: The Misconceptions and Realities of DevOps, Agile, and Leadership
#310: In this episode, Darin and Viktor sit down with Tim Beattie, co-founder and CEO of Stellafai, to chat about the myths and realities of DevOps and Agile in today's workplaces. They dive into how DevOps and Agile should be seen more as philosophies rather than just titles on a business card. Tim shares his take on why roles like DevOps Engineer can actually create more silos and how the real g
DOP 309: Using AI Agents in Daily Development Tasks
#309: In this episode, Darin and Viktor discuss their personal experiences and insights related to the rapid advancements in AI technology, particularly focused on AI agents like GitHub Copilot, Cursor, and Claude Code. They examine the paradigm shift in development practices due to these technologies, providing a critical evaluation of their effectiveness and efficiency. The conversation delves i
DOP 308: The Truth of CI/CD
#308: In this episode, hosts Darin and Viktor are joined by guest Ricardo Castro to delve into the complexities and misconceptions surrounding Continuous Integration (CI) and Continuous Deployment (CD). The discussion begins with Ricardo's insights from a previous talk on the overestimation of automated systems in CI/CD and transitions into a broader conversation about the true essence of CI/CD pr
DOP 307: Kubernetes in 2025
#307: In this episode, Darin and Viktor discuss a blog post from Fairwinds about Kubernetes in 2025. Key topics include the ongoing rise in Kubernetes and Docker adoption, the future of container use, Kubernetes use cases, developer sentiment towards Kubernetes, and predictions on container management, multi-cloud strategies, and the role of AI in DevOps. They also touch on the importance of resou
DOP 306: Understanding GraphQL's Role in Modern APIs
#306: In this episode of DevOps Paradox, we delve into the role of GraphQL in modern APIs with guest Sophia Willows from Rye. They discuss the pros and cons of using GraphQL versus REST and gRPC, highlighting the efficiencies and complexities each brings to API development, especially in developer tools. They tackle common misconceptions and usage pitfalls of GraphQL, offering valuable insights in
DOP 305: The Episode I Thought I Would Never Record
#305: In this brief and emotional update, Darin addresses the hiatus in the show following the passing of his wife, Valorie, on March 19th, 2025. He announces that new episodes will resume on July 9th, 2025, and thanks the audience for their patience and support during this difficult period. Darin also highlights the nonprofit organization Father's House, encouraging listeners to donate in lieu of
DOP 304: Strategies for Successful Talent Retention
#304: As we continue to navigate the complexities of modern work environments, the debate surrounding remote work versus in-office setups remains a hot topic. Companies are constantly reevaluating their strategies when it comes to talent retention, with the return to office being a significant point of discussion. On one hand, working in an office provides the opportunity for direct human interact
DOP 303: How To Develop a CLI in 2025
#303: In today's digital realm, command-line interfaces (CLI) are lifelines for developers, embodying the efficiency and power required to manage complex tasks. The goal in designing a CLI is not to overwhelm users with command intricacies but to allow them to navigate operations seamlessly and intuitively. In this episode, we speak with Wesley Beary, a founding engineer at Anchor, about their jou
DOP 302: Using AI To Help With Your Programming Tasks
#302: As individuals, engineers may feel that the day-to-day tasks and projects they undertake are not life-changing. After all, if an engineer has an off day, it doesn't mean they're suddenly out of the job market. However, when we look at the larger picture from a business standpoint, the stakes are significantly higher. Companies that choose to ignore or delay engaging with emerging technologie
DOP 301: Exploring OpenRewrite and the Future of Code Modernization
#301: How many applications are in your organization that need to be kept up to date? More than likely, that number is every application needs to be kept up to date, if for no other reason than to keep your security teams happy. It gets even worse if you have 10s, 100s or even 1000s of applications. How do you make this manageable? In this episode, we sit down with Jonathan Schneider from Moderne
DOP 300: How To Become an AI Native Engineer in 2025
#300: Innovation and technology are constantly shifting the landscape of various industries, and the rise of AI is no exception. The term "AI Native Engineer" is becoming more prevalent. This shift denotes not just an evolution in the technological tools at our disposal but a transformation in how engineers engage with these tools to enhance productivity and innovation. In this episode, our friend
DOP 299: Managing Your AI Workloads With KitOps
#299: The ability to efficiently manage and analyze data is crucial in today's rapidly evolving tech landscape. One innovative solution that addresses this need is ModelKit. ModelKits are built on existing standards, ensuring compatibility with the tools your data scientists and developers already use. In this episode, Darin and Viktor speak with Gorkem Ercan, CTO at Jozu, about KitOps, the open s
DOP 298: Tools Versus Culture
#298: Throughout numerous conferences, experts have often proclaimed that choosing the right culture is paramount over the selection of tools. However, it's an oversimplification to deem one right over the other. Tools and culture share a symbiotic relationship, each influencing and reshaping the other. In this episode, Darin and Viktor try to settle this debate. YouTube channel: https://youtube
DOP 297: Streamline Access Control Using Cerbos
#297: In today's digital landscape, ensuring secure and efficient access to systems is crucial. Authorization plays a vital role in granting the right access levels — but how can businesses implement it effectively? In this episode, we speak with Alex Olivier, co-founder & CPO at Cerbos, about how Cerbos presents an adaptable solution that streamlines access control and governance by externalizing
DOP 296: 2025 - The Year of Not Yet
#296: As we step into 2025, the tech landscape is marked by a myriad of opportunities and challenges, with artificial intelligence taking center stage. While AI is firmly entrenched in our daily lives, other technological advances and industry trends also demand our attention. In this episode, Darin and Viktor make their tech predictions for 2025. YouTube channel: https://youtube.com/devopsparad
DOP 295: If You Are Listening to This, Go Back to Bed
#295: Merry Christmas from the entire team, and thank you for making us a part of your year! YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with us at: https://www.devopsparadox.com/contact/
DOP 294: Looking Back on Our 2024 Predictions
#294: Here we are at the end of 2024. Darin and Viktor look back at the predictions they made back in episode 244. Let's see how they did. YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with us at: https://www.devopsparadox.com/contact/
DOP 293: Attracting and Retaining Talent in a Changing Tech World
#293: As we edge closer to the end of 2024, companies grapple with the complexities of workforce retention and attraction. Companies must navigate post-COVID realities and adjust to altered market conditions. The enduring quest for stability in these uncertain times shapes employee priorities as they seek job security amidst market volatility. In this episode, we speak with Michael Zuercher, CEO a
DOP 292: No Project Is Truly Open Source
#292: Open source software has become an integral part of the modern digital landscape. It's often celebrated for its free access and collaborative ethos, contributing to rapid technological advancement. However, the reality of open source is more complex, involving issues of ownership, licensing, corporate influence, and the role of foundations. In this episode, Darin and Viktor discuss the moral
DOP 291: The Future of Software Development in an AI-Driven World
#291: As we approach the end of 2024, a recurring theme in the tech industry is the impact of AI on software jobs. While some fear mass job displacement, others see an opportunity for unprecedented innovation. In some respects, it appears that the job market is experiencing shifts reminiscent of the Industrial Revolution. However, unlike the fear of robots taking over in sci-fi narratives like The
DOP 290: KubeCon North America 2024 Review
#290: Darin catches up with Viktor and Whitney Lee just minutes after they've finished up at KubeCon NA 2024. We discuss the good things and bad things that they experienced while in Salt Lake City. YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with
DOP 289: When to Build Your Own vs. Using Off-the-Shelf
#289: For startups, navigating the dilemma of cloud selection is critical. While major providers offer incentives and familiarity, stepping out of the conventional path to explore other providers or even setting up specialized solutions can lead to significant cost savings and tailor-made optimizations. The balance is in understanding when to scale with commercial offerings and when to embark on m
DOP 288: The Laws of Software Evolution
#288: Let's journey back in time, roughly 30 to 50 years ago, to an era where systems were relatively simple. These foundational systems were built with fewer components, making them not only easier to understand but also simpler to manage. At that time, the stability of a system was often directly correlated with its simplicity. Fewer variables meant fewer potential points of failure, and system
DOP 287: Automating Dependency Updates with Renovate
#287: In the world of software development, updating dependencies remains a crucial yet often neglected task. Many developers dread the manual labor involved, especially considering potential compatibility issues and the risk of breaking existing functionality. In this episode, we talk with Rhys Arkins, the creator of Renovate, about the origins of the project and how dependency update automation
DOP 286: The Hidden Costs of Free Services
#286: Consumers are often enticed by the allure of free services. From email services like Gmail to networking tools like Twingate, the appeal of getting something for nothing is irresistible. But is it truly 'free'? When taking advantage of free services, one must consider the underlying trade-offs. Using free tools often means contributing personal data in exchange—a model many big tech companie
DOP 285: Navigating the Challenges of Legacy Software in Modern Enterprises
#285: In the fast-paced world of technology, organizations often find themselves in a complex dance between embracing the latest advancements and grappling with decades-old infrastructure. This delicate balance is highlighted in today's enterprises as they attempt to integrate legacy systems with modern solutions like microservices. The challenges, both technical and organizational, raise critical
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Learn English B1 with Daily News | English Listening Practice
Bad Friends
The Swerve Podcast: Obscure Topics | Conspiracy Theories
The Bread and Banter Podcast
