Harnessing Observability with AI for Edge Applications - Innovations in APM/T
LF Networking via YouTube
MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore cutting-edge advancements in AI-powered Application Performance Monitoring and Tracing (APM/T) for edge computing applications in this 33-minute conference talk from LF Networking. Gain insights into the innovative integration of Extended Berkeley Packet Filter (eBPF) and Large Language Models (LLM) to enhance observability in edge environments. Learn how these technologies combine to create more effective monitoring and tracing solutions, enabling better performance management and troubleshooting capabilities for modern edge applications.
Syllabus
Harnessing Observability with AI for Edge Applications: Innovations in APM/T - Fatih E. Nar, Red Hat
Taught by
LF Networking