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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

What mid-market IT teams wish they knew before deploying AI agents

AI agents are quickly shifting from experimentation into day-to-day operations. That shift is showing up in the data. McKinsey’s latest State of AI research highlights both broader AI use and the growing focus on “agentic AI,” even as many organizations still struggle to scale safely. For mid-market IT teams, agents can feel like the unlock: automate repetitive workflows, reduce backlog pressure, and deliver more output without expanding headcount.

Building Trust in the Machine: A Guide to Architecting Agentic AI for SRE

The promise of Artificial Intelligence in Site Reliability Engineering (SRE) is seductive: an autonomous system that never sleeps, instantly detects anomalies, and fixes broken infrastructure while humans focus on high-value work. However, the gap between a demo-ready chatbot and a production-grade Autonomous AI SRE is vast. In complex, noisy environments like Kubernetes, a “naive” implementation of Large Language Models (LLMs) is not just ineffective, it can be dangerous.

AI Tags: Why Cloud Tagging Breaks Down For AI Workloads (And What To Use Instead)

Tags have long been the backbone of cloud cost visibility and governance. They help teams understand who owns what, where spend comes from, and how infrastructure maps back to the value the business delivers. However, AI workloads have altered that model, and exposed the limitations of traditional AI tags in the process. In fact, many of the most expensive AI operations don’t run on taggable cloud resources at all.

AI meets SQL Server 2025 on Ubuntu

Since 2016, when Microsoft announced its intention to make Linux a first class citizen in its ecosystem, Canonical and Microsoft have been working hand in hand to make that vision a reality. Ubuntu was among the first distributions to support the preview of SQL Server on Linux. Ubuntu was the first distribution offered in the launch of Windows Subsystem for Linux (WSL), and it remains the default to this day. Ubuntu was also the first Linux distribution to support Azure’s Confidential VMs.

The Dangerous Power of Local AI Agents. #speedscale #proxymock #aiagents #openclaw #localai

I’ve been testing OpenClaw, a fully autonomous agent that lets you remote control your entire system via Signal. It’s incredibly powerful to text your computer from a coffee shop and have it execute tasks, but you’re essentially handing the keys to your digital kingdom to an LLM. The Golden Rule: Trust, but verify. I’m using Proxymock to sniff every single API call going in and out of the agent. If there’s a data leak or a "hallucination" that tries to wipe my drive, I see it first.

Best PostgreSQL ODBC Drivers in 2026: How to Choose

PostgreSQL ODBC drivers are no longer background components. For teams running BI, reporting, and ETL on PostgreSQL, the drivers directly affect how fast queries run, how reliably dashboards refresh, and whether data pipelines remain stable as usage grows. As PostgreSQL moves deeper into analytics stacks, these capabilities are driving the demand for these tools, a trend reflected in broader ODBC market growth.

Properly securing OpenClaw with authentication

OpenClaw (née MoltBot, née ClawdBot) is taking over the world. Everyone is spinning their own, either on a VPS, or their own Mac mini. But here's the problem: OpenClaw is brand new, and its security posture is mostly unknown. Security researchers have already found thousands of publicly available instances exposing everything from credentials to private messages.

What is DevOps? Definition, Lifecycle, Best Practices, & Tools

We’ve seen a huge explosion of interest in DevOps over the last few years. But for people who are new to these ideas, it’s not always obvious what DevOps entails and what the benefits are, particularly in larger environments. So, what is DevOps all about? And what do you need to know to succeed? In this blog, you’ll get a breakdown of how DevOps works, its benefits, and the best practices and tools that help teams build and deploy software with speed and confidence.

Every CIO is asking the same question: Am I Next?

Every CIO is asking the same question: Am I next? We’ve seen it across cloud providers, carriers, and global platforms—organizations with enormous scale and investment still experience public, business-impacting outages. The risk isn’t lack of effort. It’s the growing gap between AI-driven complexity and the ability to see, understand, and resolve issues fast enough to protect availability commitments.

Disaster Recovery Testing by Gremlin

Do you know how your system will respond when major outages strike? Disaster Recovery Testing safely simulates real catastrophic failures across your entire system. You can centrally and easily run zone, region, and datacenter-scale reliability tests across your entire organization simultaneously for disaster recovery, business continuity, compliance verification, and more. With Disaster Recovery Testing, tests that used to take engineering-months and dozens of experts can be done safely and securely in hours by a single person.