A query that ran in 200 milliseconds yesterday is taking 14 seconds today. The application team noticed before the monitoring tool did. By the time someone opens the database server, there are 47 sessions in the active requests view, three of them blocked, and one of them holding a lock that has been open for six minutes. Nobody can tell you what that session is doing, who it belongs to, or whether killing it is safe. This is not a hardware problem. It is a visibility problem. And it is more common than it should be. Let us talk about…
Author: drweb
Apr 8, 2026 Reclaim Developer Hours through Smarter Vulnerability Prioritization with Docker and Mend.io We recently announced the integration between Mend.io and Docker Hardened Images (DHI) provides a seamless framework for managing container security. By automatically distinguishing between base image vulnerabilities and application-layer risks, it uses VEX statements to differentiate between exploitable vulnerabilities and non-exploitable vulnerabilities, allowing your team to prioritize what really matters. TL;DR: The Developer Value Proposition… Adam Dawson and Dor Hayun Read now
Senior Full Stack Engineer – Wunderite Skip to content We use cookies and similar technologies to enhance your experience, analyze traffic, and personalize content. By consenting, you allow us to process data such as browsing behavior or unique IDs. You can change or withdraw your consent anytime. Some site features may not function properly without cookies. For details, see our Privacy Policy. The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of…
For most of its short life, Claude has lived inside a chat window. You type, it responds. That model is changing fast. Anthropic recently expanded Claude Code and Claude Cowork with a new computer use capability that lets the AI directly control your Mac or Windows desktop — clicking, typing, opening applications, navigating browsers, and completing workflows on your behalf. It’s available now as a research preview for Pro and Max subscribers. The short version: Claude can now do things at your desk while you’re somewhere else. How it Actually Works Claude doesn’t reach for the mouse first. It prioritizes…
A game can turn in seconds, and the numbers move with it. That is where things get interesting. Fixed odds looks comforting and predictable until they lag behind the flow of the game. Live data keeps pace with what is happening, and that changes the way decisions get made in the moment. Sports betting and casino gaming used to run on fixed numbers. Odds were set before a match, and that was that. That no longer holds. Data now updates during play, sometimes every second, and those updates feed directly into how odds move and how decisions get made. The…
This month I’m thrilled that Steve Hughes is hosting. I’ve read this Data on Wheels blog for a long time and I appreciate all that he does, especially given his struggles with ALS. I kicked myself a few times for not asking him to host earlier, but I’m glad I finally did.I also was honored to meet him a few weeks ago and spend a little time with him.With that, let’s get to Steve’s invitation.Lasting Memories from EventsThese days I don’t go to a lot of sessions at events. It’s not that I can’t learn from others, or be inspired,…
There is a dangerous conflation happening across our industry right now. Teams are plugging LLM-powered agents into their deployment pipelines, calling it “agentic CI/CD,” and treating it as the next logical step after shell scripts and Terraform modules. It is not. Automation executes predefined instructions. An agent reasons about context, makes decisions, and takes actions that were never explicitly coded. If we continue treating intelligent agents like scripts, we will fail to build the necessary governance layer that defines this next era of CI/CD. That difference is not semantic. It is architectural, operational, and, if you get it wrong, catastrophic.…
Python keywords are the reserved words that form the core grammar of the Python programming language. Each keyword has a specific meaning and purpose, and you cannot use any of them as variable names or identifiers in your code. Python currently has 35 keywords, and they cover everything from controlling program flow (if, else, for, while) to defining functions (def, lambda), handling errors (try, except, raise), and managing asynchronous operations (async, await). When the Python interpreter reads your code, it matches each word against this reserved set before deciding what the code means. That is why understanding keywords is not…
Python keywords are the reserved words that form the core grammar of the Python programming language. Each keyword has a specific meaning and purpose, and you cannot use any of them as variable names or identifiers in your code. Python currently has 35 keywords, and they cover everything from controlling program flow (if, else, for, while) to defining functions (def, lambda), handling errors (try, except, raise), and managing asynchronous operations (async, await). When the Python interpreter reads your code, it matches each word against this reserved set before deciding what the code means. That is why understanding keywords is not…
Every developer knows the problem. You ask an AI coding agent to plan a solution, it looks reasonable, and you move forward. But somewhere in the execution, a flawed assumption gets baked in, and by the time you catch it, you’ve got a mess to unwind. GitHub is taking a direct shot at that problem with a new experimental Copilot CLI feature called Rubber Duck. What Rubber Duck Does Rubber Duck leverages a second model from a different AI family to act as an independent reviewer, assessing the agent’s plans and work at the moments where feedback matters most. The…