eBPF: Performance Gains for Observability

In this episode of Signal > Noise, Sara invites Sven Cowart, co-founder and CTO of ElastiFlow, to explore why eBPF (Extended Berkeley Packet Filter) has become the clear favorite for high-scale, performance-critical networks.From its origins to its current status as a revolutionary tool for observability and security, Sven breaks down how eBPF provides kernel-level insights without the traditional performance overhead or the need for manual application-level instrumentation.a brief history of eBPFeBPF vs sidecarspower of autoinstrumentationkey projects in the ecosystembridging NetOps and DevOpsResourceseBPF: Unlocking the Kernel [OFFICIAL DOCUMENTARY]eBPF for Kubernetes network observabilityGet a free trial of ElastiFlow's observability solution