KubeCon + CloudNativeCon China 2025

As large language model (LLM) applications are widely deployed, their complex architectures challenge business observability. APM probes, which rely on instrumentation or proxy operation, consume system resources and impact traffic and performance, restricting their use in complex scenarios. Also, multiple teams handling different LLM instances make it hard to coordinate unified observability construction.
To solve this, China Mobile‘'s Panji platform collaborates with DeepFlow to achieve zero-intrusion (Zero Code) and full-stack (Full Stack) observability instantly, using eBPF and Wasm technologies. eBPF collects real-time data at the kernel level, while Wasm plugins parse streaming requests. By integrating existing data, the platform provides service universal map, distributed tracing, and multi-dimensional metric analysis, ensuring the stability and performance optimization of LLM applications.