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”
Tag Archives: Machine learning
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”
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”
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 anyContinue reading “Common Kerberos Authentication Failures Explained”
Transform Frustration into AI Innovation
Chris Corder| Azure Senior Technical Advisor | Published Author & Speaker. Building AI-Powered Diagnostics for Cloud Systems | Azure • Networking • Performance January 2026 A few months ago, I wrote about how the most miserable task in your job might actually be your best AI automation opportunity. For me, that task was network packetContinue reading “Transform Frustration into AI Innovation”
Unlocking the Power of Agentic AI
Agentic AI: The Moment Machines Stopped Waiting for Orders Until now, AI has been like a well-trained butler. It listens. It responds. It follows commands.But something big just changed. For the first time, we’re building machines that don’t wait to be told what to do.They think ahead.They set goals.They take action. This is Agentic AI—aContinue reading “Unlocking the Power of Agentic AI”
Boost Your App Performance with Azure’s Intelligent SRE Agent
What Happens When AI Meets the Azure SRE AGENT? It Writes the Fix. Meet the Azure SRE Agent — an intelligent, autonomous system purpose-built to raise the bar on application reliability. It continuously monitors your applications in real time, detects abnormal behavior, diagnoses root causes at the code level, and proposes (or implements) precise, production-safeContinue reading “Boost Your App Performance with Azure’s Intelligent SRE Agent”
Enhancing Debugging with AI Insights
AI’s Impact on Debugging: From Manual Root Cause Analysis to Intelligent Assistants Introduction: Debugging in the Age of Cloud Complexity Debugging has always been one of the hardest parts of software engineering. In the cloud era, that difficulty has multiplied. Distributed architectures, async workloads, and transient network failures mean engineers often spend more time findingContinue reading “Enhancing Debugging with AI Insights”
Transforming Customer Support with AI
Customer support is entering its biggest transformation since the rise of the internet. By 2030, AI is expected to automate up to 80% of routine customer service tasks, according to Gartner. Companies aren’t waiting to see what happens, they’re already using AI to slash response times, boost satisfaction scores, and save millions annually. And here’sContinue reading “Transforming Customer Support with AI”
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