~/talk

China Mobile's Panji Platform: Observability Practices and Implementations for LLM Applications Base

links:none on file
name:Casey Li
links:none on file
slides:none on file

Describes how China Mobile’s Panji platform and DeepFlow use eBPF and Wasm plugins to provide zero-code, full-stack observability for large language model deployments. Explains collecting kernel-level real-time data with eBPF, parsing streaming requests with Wasm, and integrating those signals into service maps, distributed tracing, and multidimensional metrics to monitor and optimize LLM application performance.

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