wBPF: Efficient Edge-Case Observability for CXL Pooling systems via eBPF

Today's distributed tracing frameworks struggle to efficiently detect rare edge-case anomalies in large-scale heterogeneous systems employing Compute Express Link (CXL) for memory pooling.Traditional methods-head sampling, which often overlooks critical events, and tail sampling, which incurs significant overhead-fail to balance precision and performance effectively.We introduce wBPF, a lightweight tracing runtime tailored specifically for efficient edgecase observability in CXL-based memory disaggregation.Built upon eBPF, wBPF coordinates tracing across heterogeneous nodes, selectively captures critical memory anomalies, and significantly reduces communication overhead.It integrates container-level deployment, large language models (LLMs) and dynamic runtime verification, enabling rapid identification and resolution of complex memory management issues.Our evaluation shows that wBPF substantially improves edge-case observability with minimal performance impact, making it a valuable tool for troubleshooting memory pooling architectures in modern cloud-native infrastructures.