Your AI Agent is Better at Debugging Than You Think

Troubleshoot Azure Faster with AI Agents (Flow Logs, Log Analytics & Pipelines) In this video, I’ll show you how I use AI agents to troubleshoot cloud issues faster without replacing your debugging instincts, just reducing the cognitive load and getting to root cause quicker. I’ll walk you through how I frame problems so the agent has enough context to give a high-confidence answer (not a confident guess), and I’ll share real examples you can copy at any level. We’ll feed an agent real troubleshooting artifacts like virtual network/NSG flow logs (JSON) and Log Analytics exports (CSV) to spot patterns, blocked traffic, and misconfigurations. I’ll also show a Connection Monitor alerting setup that was misconfigured, and how the agent helped pinpoint the exact threshold issue. Finally, I’ll demo my favorite trick for CI/CD: letting an agent use GitHub CLI to iterate on a failing pipeline until it’s green. 00:00 AI Troubleshooting Mindset 01:57 Feeding Agents Your Artifacts 03:52 Azure Network Case Study 07:57 Flow Logs With Claude 10:46 Connection Monitor False Alerts 13:04 Root Cause From CSV 16:06 Auto Fixing Pipelines Loop 18:06 Wrap Up And Next Videos 🎥 Network troubleshoot deep-dive:    • 3 Advanced Ways to Troubleshoot Azure Netw...   ☕️ Want to buy me a coffee? https://ko-fi.com/lindbergtech Only if you want to, of course Socials: LinkedIn:   / carl-lindberg-a7b76a175   Github: https://github.com/carlzxc71 Blog: https://www.lindbergtech.com