For a long time, monitoring just meant staring at dashboards and waiting for something to flash red. Engineers tracked things like CPU usage, memory, response times, error rates, and uptime. If a number crossed a certain line, you’d get an alert. Then, someone dived in to figure out what was wrong.That basic approach isn’t useless, but it’s just not enough anymore. Today’s systems are way more complicated. Apps run across containers, Kubernetes clusters, cloud services, databases, APIs, queues, and all sorts of third-party services. A single user’s request might hop through dozens of different pieces just to finish. Simply knowing…
Author: drweb
Everybody knows NOLOCK can show you uncommitted data. Far fewer people know it can count the same row twice, or skip a row completely, with every transaction committed and nothing rolled back. That is all I want to explain today, and I want to explain it with two small animations.This post is only about those two things. Not what to use instead, not snapshot isolation, not how to fix it. Just why the number comes back wrong.One Fact You Need FirstFor some scans, SQL Server reads data pages in allocation order, roughly the order the pages are laid out in…
Most enterprise questions do not live neatly in one place. The numbers may be in a warehouse, the rules may be buried in PDF files, and the explanation may sit in a support document that only three people know exists. A Microsoft Fabric data agent gives users a conversational way to ask questions across that information while keeping the answer grounded in approved enterprise data. I think of it as a configurable virtual analyst for a business domain, not a generic chatbot that happens to know a little SQL. Fabric Data Agents are now generally available, while some of the…
Docker Captain Sep 2, 2026 Building Reproducible AI Evaluation Workflows with Docker Sandboxes Learn how Docker Sandboxes can make AI evaluation workflows more reproducible with consistent execution, structured artifacts, and runtime evidence. Read now
TL;DR — Key Takeaways Code may no longer be the main bottleneck. AI agents can generate and modify software quickly, but review, testing, security and approvals can still slow delivery. Anthropic proposes a continuous AI-native SDLC where intent, specifications, plans, code, evidence and production feedback flow between humans and agents. The bigger transformation is operational, not just generative. Organizations need stronger platforms, executable governance, automated evidence and production feedback loops if they want AI coding speed to translate into dependable software. The software industry has heard plenty about how artificial intelligence will transform software development. Analysts have analyzed it. Consultants…
Python developers keep getting handed the same task: take a cabinet of handwritten intake sheets, delivery slips and claim forms and turn them into database rows, without hiring six people to type. It comes up wherever paper still walks through the door, which in 2026 covers most clinics, most freight depots and a fair number of county records offices. Handwriting is arguably the last barrier between those places and a workflow nobody has to babysit. Everything else in the building has an API by now. The first attempt usually fails anyway, and it tends to fail for reasons that have…
Docker Captain Sep 2, 2026 Building Reproducible AI Evaluation Workflows with Docker Sandboxes Learn how Docker Sandboxes can make AI evaluation workflows more reproducible with consistent execution, structured artifacts, and runtime evidence. Read now
This follows Tech Conferences Are Worth It. The Sessions Are Not. You can read this one on its own.I said tech conferences are worth every hour and the sessions are not. Nobody argued about the sessions. They wrote about money instead, and five questions arrived.Five people asked about booths, volunteers, profit, renewal, and churn. Every question was really asking the same thing: did anybody notice I came?No event, organizer, or vendor is named here. Everything is a composite. The questions were rewritten, and private messages stay private.The replies came from the other side of the table. Organizers wrote. Vendors wrote. One user-group…
TL;DR — Key Takeaways JFrog CEO Shlomi Ben Haim argues that AI-driven software development will shift security attention away from source code and toward executable binaries. The growing volume of AI-generated code could overwhelm traditional DevSecOps workflows built around reviewing and scanning source code. Ben Haim expects AI agents to play a much larger role in building, updating and securing software, making automated binary validation increasingly important. JFrog CEO Shlomi Ben Haim told approximately 500 software engineers today that in the age of artificial intelligence (AI) no one will soon care much about source code anymore.Speaking at the company’s swampUP…
Supporting Cast seeks a passionate, creative developer with PHP and agentic engineering experience to expand on Supporting Cast’s podcast subscription platform. As a key member of our team, you’ll be helping independent creators, podcast publishers, and media companies improve their financial sustainability and better satisfy their fans. You’ll be joining a small development team and will be in a position to influence our tech stack and our evolving product. Working here provides the dynamic excitement of a startup, and the stability and competitive compensation of an established employer. We will consider candidates from anywhere in the United States, provided you…