Operations | Monitoring | ITSM | DevOps | Cloud

Homelab AI SRE Agent: AURA Debugs Container Permissions in Docker

A root cause is not a fix. AURA keeps working the problem, taking what you find on the host and coming back with the user ID mismatch behind the failure. What follows a root cause is normally manual: check the mount, compare ownership on the host against the user inside the container, and get it wrong at least once before it lands.

The MetricFire MCP Server | AI-Powered Monitoring

Monitor your infrastructure using natural language with the new MetricFire Model Context Protocol (MCP) Server. In this video, you'll learn how to connect the MetricFire MCP Server to AI assistants like GitHub Copilot and use simple prompts to search metrics, visualize data, create alerts, and manage your monitoring environment—without writing API calls. In this video, you'll learn how to.

Paste a Slack Bug Report into an AI SRE Agent: AURA Finds the Cause

A coworker says checkout is broken and nothing else. That is the whole prompt. AURA reads the live logs and comes back with the payment service. Normally a message like this is the start of guessing at a service and opening dashboards until something looks wrong. Here it is the entire input: no service named, no error string, no time range.

Introducing the Flyway MCP Server: governed database change, now available to your AI coding assistant

AI coding assistants have changed how fast application code gets written. Copilot, Cursor, Claude Code, and agentic tools built on top of them can generate a working feature in minutes. But none of them know your database's history. They don't know that a migration already renamed that column last sprint, that a policy forbids unqualified DELETE statements, or that the target environment has drifted from what your migrations say it should look like.

What is AI ROI? Definition and why it matters

In 2025, 85% of organizations increased AI investment, and 91% plan to do the same this year, according to Deloitte. Despite continued spending, however, ROI lags behind, with just 6% seeing payback within one year. While AI use cases tend to have a longer payback period, often in the 2-4 year range, companies can’t afford to keep spending money without some measure of its practical impact both immediately and over time.

Toil Reduction Outside the Data Center: Lessons From the Clinical Front Office

Ask an operations team where the week went, and you'll usually get a list of things that shouldn't have needed a person. Access requests provisioned by hand. A disk cleared for the ninth time this quarter. Certificates rotated one at a time because the renewal script was scoped, estimated, and never finished. None of it is difficult, and all of it is necessary. And at the end of the quarter there's nothing to point at, because the work left no trace beyond the absence of an outage.

How AI-Powered College Quiz Tools Are Changing the Way Students Choose Their Path

Choosing a college major or a career direction used to feel like guesswork for most students. You would talk to a school counselor for fifteen minutes, take a personality test from a textbook, or simply pick whatever your parents or friends suggested. Today, that process looks very different. Many students now start their search with a college quiz match, an online tool that asks a series of questions about interests, strengths, and goals, then suggests majors, career paths, or even specific schools that fit the answers.