Harnessing Observability with AI for Edge Applications: Innovations in APM/T - Fatih E. Nar, Red Hat#

Fatih E. Nar, Distinguished Chief Architect, Red Hat

• Why: eBPF-based observability fused with LLMs for application performance monitoring is at the intersection of two of the PM's core interests (eBPF, AI for operations).
• What: Advances in AI-infused application performance monitoring and tracing for edge applications, centered on integrating eBPF with LLMs. (from abstract only — the program provides only this single-sentence abstract, so depth of evaluation and results cannot be assessed.)
• How: Not specified beyond the eBPF + LLM combination; eBPF supplies deep runtime telemetry, and LLM-based analysis turns it into actionable diagnosis, presumably.
• Where applicable: Edge/cloud-native application operations; flag that the abstract is unusually thin, so treat as a talk to sample rather than a paper to rely on.