Originally published at: Build a Log Analysis Multi-Agent Self-Corrective RAG System with NVIDIA Nemotron | NVIDIA Technical Blog
Logs are the lifeblood of modern systems. But as applications scale, logs often grow into endless walls of text—noisy, repetitive, and overwhelming. Hunting down the root cause of a timeout or a misconfiguration can feel like finding a needle in a haystack. That’s where our AI-powered log analysis solution comes in. The log analysis agent,…
Hi, thank you for this blog. I tried a similar approach inspired by your work. Currently, all agents are operating sequentially, which works well when the flow is less. But how should you design this architecture for millions of logs with a time-to-resolution of five minutes? I’m building the system on Kubernetes. Could you please share any pointers on how to scale your architecture?