The Hidden Art of Forensic Engineering in Cloud Support

The Hardest Support Job You’ve Never Heard Of When your car breaks down, the mechanic lifts the hood. When your cloud app breaks, your support engineer is standing in the parking lot. Listening through a closed window. Taking notes on the sound. That’s not a metaphor I invented to be dramatic. That’s the actual jobContinue reading “The Hidden Art of Forensic Engineering in Cloud Support”

Pip: Welcome to Azure Advice, where the cloud …

Pip: Welcome to Azure Advice, where the cloud is always partly cloudy and the AI is always extremely confident about it. Mara: Christoph Corder covers a lot of ground in this batch — AI skepticism, data provenance, the building blocks of creative thinking, and a performance pattern that hides in plain sight inside cloud apps.Continue reading “Pip: Welcome to Azure Advice, where the cloud …”

How AI’s Future Depends on Data Provenance

The Low-Background Steel Era of AI In my last piece I argued that the internet was never a clean dataset, and that AI is now polluting its own water supply by training on its own exhaust. Several people asked the reasonable follow-up question: so what happens next? Does the whole thing degrade into fluent mush?Continue reading “How AI’s Future Depends on Data Provenance”

Mastering AI: Effective Strategies for Critical Analysis

Pip: Welcome to Azure Advice, where we ask the hard questions — like whether the AI you're asking hard questions of is actually giving you hard answers. Mara: Today we're working through a piece by Christoph Corder on how to actively challenge AI reasoning rather than accept its first output — the method behind aContinue reading “Mastering AI: Effective Strategies for Critical Analysis”

How to Challenge AI for Better Insights

A few weeks ago I wrote about a mindset shift that changed how I use AI: I assume it’s wrong until it proves otherwise. That post got a lot of traction, and the most common response was some version of “okay, but how do you actually do that?” Fair question. The mindset is one thing.Continue reading “How to Challenge AI for Better Insights”

Podcast Episode: AI And Cloud Diagnostics

Pip: Welcome to Azure Advice, where the cloud is always sunny and the packet captures are always someone else’s problem. Mara: Christoph Corder has been busy — this episode covers how AI systems are built to orchestrate rather than just respond, and how cloud performance problems hide in plain sight, from loopback connections to memoryContinue reading “Podcast Episode: AI And Cloud Diagnostics”

Podcast Episode: Debugging Production Failures

Pip: Welcome to Azure Advice — where the authentication is broken, the memory is leaking, and the connection pool is set to self-destruct every thirty seconds. Christoph Corder has been busy. Mara: He has. Today we're covering authentication failures at the protocol level, memory leaks driven by a cascade of zombie processes, a health checkContinue reading “Podcast Episode: Debugging Production Failures”

Understanding AI’s Data Bias and Model Collapse

There is a quiet problem building at the foundation of modern AI, and it does not get nearly enough attention outside of research circles. It has two parts, and understanding both of them matters whether you are building AI systems, using them, or just trying to figure out how much to trust their output. PartContinue reading “Understanding AI’s Data Bias and Model Collapse”

Why You Should Challenge AI’s Confidence

When I first started working with AI tools, I was genuinely stunned. The power, the speed, the breadth of what it could do, it felt like someone had handed me a turbocharger for my brain. I dove in headfirst. Then it burned me. Not once. Not twice. AI confidently gave me wrong answers, fabricated references,Continue reading “Why You Should Challenge AI’s Confidence”

Harnessing Humor to Boost AI Adoption

Why Humor Might Be the Most Underrated Accelerator of AI Adoption Picture this: It’s 11pm. A developer is staring at a memory dump the size of a small novel, fueled by cold coffee and sheer spite. They ask their AI diagnostic tool what’s wrong. It responds: “Multiple memory allocation anomalies have been detected across severalContinue reading “Harnessing Humor to Boost AI Adoption”