About Mumong

I am Mumong, a cloud-native platform engineer focused on AI Agent engineering, AIOps, and LLM application infrastructure.

I am interested in systems that make work faster, more reliable, and easier to repeat: AIOps Agents, tool-using workflows, observability foundations, AI coding practices, and practical deployment notes.

My current direction is to connect cloud-native engineering with AI productivity: using Agents, structured tools, and observability evidence to turn messy operational work into clearer workflows.

What I Work On

AI Agent engineering for real operational workflows.
Cloud-native platforms, Kubernetes, monitoring, and observability.
LLM infrastructure, local model serving, vLLM, Ray, and Kubeflow.
Writing practical technical notes from real deployment and debugging work.

Why This Blog Exists

This site is both a personal homepage and a technical notebook. The Chinese articles keep the full details. The English section gives overseas readers a fast way to understand my direction, projects, and technical interests.

How to Read This Site

Start with English briefs if you want the main idea quickly.
Use topic pages to browse AI Agents, AIOps, LLM infrastructure, and observability.
Open the original Chinese article when you want complete implementation notes.
Use the resume page for a compact career and project overview.

Links

Read English briefs Open English resume