I built an AI agent system that automatically switches to a backup AI model if the main one fails. I connected every step to SigNoz so I could track requests, monitor performance, and detect failures. I also built a diagnostic agent that reads the monitoring data and explains the reason for failures in simple language. During testing, it successfully detected a real AI provider outage and identified the root cause automatically.
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source & further reading
dev.to — original article
The 200 Response That Wasn’t a Meme
Tracing Voice AI is Hard: How I Instrumented Streaming LLMs with OpenTelemetry and SigNoz
MCP Deep Dive, Part 12: Building MCP Servers in C# and .NET 9 — The SDK, DI, and Native AOT