Understanding and implementing eBPF for Advanced Network Observability in Cloud-Native Environments

Pentaparthi, Sai Kalyan Reddy (2025) Understanding and implementing eBPF for Advanced Network Observability in Cloud-Native Environments. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1318-1323. ISSN 2582-8266

Extended Berkeley Packet Filter (eBPF) technology has transformed network observability in cloud-native environments, addressing critical visibility challenges in complex containerized infrastructures. This article examines how eBPF provides deep insights into network behavior through kernel-level monitoring with minimal performance impact. The technology enables unprecedented visibility into container-to-container communication, cross-node traffic patterns, and service mesh interactions that remain opaque to conventional monitoring tools. Data from multiple industry sources reveals substantial improvements in troubleshooting efficiency, with mean time to resolution for network issues reduced by over 60% on average. The article explores eBPF's technical foundation, its unique advantages in cloud-native contexts, practical implementation strategies, and documented use cases across performance optimization, security monitoring, and connectivity troubleshooting domains. The evidence demonstrates that eBPF-based solutions can process millions of network events per second with negligible overhead while providing comprehensive visibility that traditional approaches cannot match. As containerization and Kubernetes adoption continue accelerating, eBPF represents a critical technology for maintaining operational visibility and security in increasingly complex distributed systems.