How LLMs Accelerate Root‑Cause Diagnosis in Large‑Scale Microservices
By abstracting a massive microservice system as a dynamic multi‑layer graph and integrating large language models, the article outlines three evolution stages—from manual expert debugging to rule‑based AIOps and finally LLM‑driven cognitive reasoning—detailing practical workflows, context engineering, and real‑world case studies that dramatically improve MTTR and accuracy.
