Edge AI in action powered by Ubuntu Core
Hans Michael Krause shows how ctrlX OS Ecosystem, powered by Ubuntu Core, enables real-time visual inspection directly on an industrial controller.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Why SSIS will never die - with Tim Mitchell
Steve is joined by business intelligence architect and author Tim Mitchell. They discuss why SSIS will never die, the general pros of cons of integration services, the evolution from XML to JSON, how AI can help with coding, and taekwondo – among other topics! Recorded on-site at PASS Data Community Summit 2025.
Why AI scaling needs predictable infrastructure
"If your finances are tied to a third-party token cost, your business model can change overnight." Civo CTO Dinesh Majrekar and Techdome CEO Rahul Joshi break down the "variable factor" risk in AI scaling. Relying on external API endpoints means you have zero control over your margins.
The Analyst View on Data Sovereignty with TechMarketView
Perspectives from the Edge: Episode 2 Data sovereignty isn't a solo effort. It's a symphony. Data sovereignty is moving fast up the agenda. But who's orchestrating it? The second episode of Perspectives from the Edge explores the subject through an analyst’s laser lens, in conversation with Kate Hanaghan, Chief Research Officer at TechMarketView. Find out how AI and platform consolidation make data harder to control, how to bake sovereignty into your business from the start – and why the organisations getting it right treat ecosystems as a strategy, not just a procurement exercise.
How Developers Build a Meaningful Career in the Age of AI
What does a meaningful developer career look like in the age of AI? We brought together four experts to answer exactly that. In this GitKon panel, GitKraken CMO Kate Adams moderates a conversation with Leon Noel (Managing Director of Engineering, Resilient Coders), Danny Thompson (Director of Technology and host of The Programming Podcast), Maggie Hunter (Recruitment Lead, GitKraken), and Dimitry Fonarev (CEO, Testkube) to explore how software engineers can future-proof their careers, grow their skills, and navigate an industry that is changing fast.
Review Assistant 4.3 Expands Visual Studio 2026 Support and Simplifies Report Access
We are happy to announce the release of Review Assistant 4.3, introducing support for integration with Visual Studio 2026 and a more practical permissions model for viewing project reports.
Code Compare 5.5 R1 Adds Integration Support for Visual Studio 2026
We’re excited to share Code Compare 5.5 R1, the latest update to our code comparison and merge tool. This release adds integration support for Visual Studio 2026, so teams can compare changes and resolve merge conflicts directly within the IDE workflow they already use. With Code Compare 5.5 R1, developers can review differences, apply merges, and handle conflicts in Visual Studio 2026 using the same comparison experience they rely on across projects and repositories.
Your Flaky Tests Are a Data Problem, Not a Test Problem
Your tests are not flaky. Your test data is. That 401 Unauthorized that fails every Monday morning? The OAuth token in your test fixture expired 72 hours ago. The order_id that works in staging but not in CI? It was hardcoded six months ago and the format changed from integer to UUID in January. The timestamp assertion that passes at 2pm and fails at midnight? You are comparing a hardcoded 2026-01-15T14:30:00Z against Date.now(). These are not test infrastructure problems. Retrying them will not help.
Sponsored Post
Runtime Validation vs Static Analysis: Why You Need Both
Runtime validation does not replace static analysis. They solve different problems. Static analysis catches structural defects in code before it runs. Runtime validation catches behavioral failures by testing code against real production traffic. Enterprise teams adopting AI coding tools need both layers because AI-generated code introduces a new class of defects that neither layer catches alone. According to CodeRabbit's State of AI vs Human Code Generation report, AI-generated pull requests contain roughly 1.7x more issues than human-written ones. Many of those issues pass static checks cleanly.
AI Coding Agents Have a UX Problem Nobody Wants to Talk About
The pitch was simple: let AI write your code so you can focus on the hard problems. Three years into the AI coding revolution, and developers are focused on hard problems alright, just not the ones anyone expected. Instead of designing systems and solving business logic, engineers in 2026 spend a startling amount of their day managing the AI itself. Should you use Fast Mode or Deep Thinking? Haiku or Opus? Cursor or Claude Code or Windsurf? Should you write a SKILL.md file or a custom system prompt?