DevOps Paradox

#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...

#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...

#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,...

#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...

#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...

#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...

#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...

#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...

#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...

#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...

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...

#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...

#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...

#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...

#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...

#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...

#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...

#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...

#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...

#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,...

#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...

#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...

#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...

#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...

#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...