As AI speeds up software delivery, the real bottleneck isn’t scanning or CI. It’s how safely and predictably change moves across tools, teams, and companies.Something strange is happening in DevOps right now. AI copilots are writing code, generating tests, triaging incidents, and even summarizing pull requests before a human looks at them. The tooling has genuinely improved, and teams are shipping faster than ever.But somehow, the end-to-end delivery pipeline doesn’t feel that much faster. Escalations still get lost between teams, and status updates still arrive late, wrong, or not at all. The bottleneck has shifted, and most organizations haven’t caught…
Author: drweb
May 12, 2026 Docker AI Governance: Unlock Agent Autonomy, Safely Introducing Docker AI Governance: centralized control over how agents execute, what they can reach on the network, which credentials they can use, and which MCP tools they can call, so every developer in your company can run AI agents safely, wherever they work. Your laptop is the new prod Agents are the biggest productivity unlock… Read now
A process suddenly consuming 99% of your CPU at 2 AM can turn a stable server into a slow, unresponsive mess. The good news is that Linux gives you several ways to prevent this from happening before it becomes a problem. Maybe it’s a backup job, a software build, or a misbehaving application that starts using all available CPU resources. In many cases, killing the process isn’t the best solution. You may simply want to limit how much CPU or memory it can use so the rest of the system continues running normally. In this article, you’ll learn four practical…
Can I be honest with you for a second? We need to talk about how AI actually makes you feel, because I don’t think most of what we say about AI is really about AI at all. I think it’s about us.About the quiet little worry that wakes some of us at midnight, the one we’d never say out loud in a meeting. So we wrap it in big confident words instead, and we say those words to each other, and everybody nods, and nobody admits what’s underneath.So let’s go underneath. Just you and me. Ten of these worn-out lines,…
These days, when a developer needs a CI/CD pipeline, they don’t always dive into GitHub Actions docs or spin up Jenkins from scratch. Instead, they pull up an AI assistant and type out something like:“Create a deployment pipeline for a containerized application.”Seconds later, the AI spits out a complete workflow. It looks polished. It builds, tests, packages, and deploys, clean syntax, logical steps, just what you’d expect. The developer copies the code, tweaks a few bits, throws it in the repo.The pipeline works.The deployment goes through.The team checks it off and moves along.This is just standard practice now. More and…
May 12, 2026 Docker AI Governance: Unlock Agent Autonomy, Safely Introducing Docker AI Governance: centralized control over how agents execute, what they can reach on the network, which credentials they can use, and which MCP tools they can call, so every developer in your company can run AI agents safely, wherever they work. Your laptop is the new prod Agents are the biggest productivity unlock… Read now
Since the release of my book Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh, I’ve been fortunate to hear from readers around the world. One question I’ve received frequently is whether the book is available in languages other than English.I’m happy to share that the book is now available in several translated printed editions, making it accessible to a much broader global audience.Current printed editions include:There are also machine-translated French and Italian editions available through the O’Reilly learning platform. These require an O’Reilly subscription and are available for online reading only.In addition,…
The first wave of AI in observability is easy to misread. The obvious use case is incident investigation: Ask a question, get a summary, identify a suspicious deployment, find the slow endpoint, maybe save an engineer a few minutes during an incident. That’s useful, but it is not the real shift. Agentic observability is not just a better root-cause analysis (RCA) assistant. It is a different way to interact with the observability system itself. For years, observability has been built around human-operated workflows. Engineers write queries, inspect dashboards, compare timelines, jump between logs, metrics, traces, Kubernetes data, cloud metadata, and deployment events, then manually…
Icinga 2 is a free and open-source monitoring tool that helps you keep an eye on your servers, services, and network devices. Instead of finding out something is wrong when users start reporting issues, Icinga 2 alerts you as soon as it detects a problem. For example, it can notify you when a disk is running out of space, a service stops responding, or CPU usage becomes unusually high. Whether you’re monitoring a single VPS or multiple servers across different locations, Icinga 2 helps you track system health and performance from one place. It also stores monitoring data in a…
Ask any engineering team if they can build their own test automation framework, and the answer is almost always “yes.” With modern AI tools involved, that answer arrives faster and with more confidence than ever before. In 30 days, a capable team can spin up scripts, automate flows, generate test cases, and show a demo that genuinely impresses decision-makers.So, the case for building a homegrown test automation framework looks airtight… at first. But the demo is rarely where the story ends.The true reckoning tends to arrive around day 90, when the framework that proved the concept starts demanding the attention…