Azure Advice from the cloud to the ground ™
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 job…
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.…
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?…
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 a…
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.…
Podcast Episode: AI Adoption And Cloud Engineering
Pip: Welcome to Azure Advice — where Christoph Corder has been quietly solving problems that most people are still complaining about in Slack. Mara: This episode covers two stretches of territory: how AI tools actually get adopted — and whether they're trustworthy enough to deserve it — and then the operational side, specifically how Azure…
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 memory…
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 check…
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. Part…
Common Kerberos Authentication Failures Explained
Authentication failures are a specific kind of frustrating. The application is running. The network is up. The credentials are correct. And yet: access denied. The system is doing exactly what it was told to do — which is precisely the problem. The customer reported a 383ms latency on authentication. There were no errors of any…
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