eBPF: Performance Gains for Observability

Description

In this episode, 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 eBPF - eBPF vs sidecars - power of auto-instrumentation - key projects in the ecosystem - bridging NetOps and DevOps Resources - eBPF: Unlocking the Kernel: https://www.youtube.com/watch?v=Wb_vD3XZYOA - eBPF for Kubernetes network observability: https://docs.mermin.dev/ - Get a free trial of ElastiFlow's observability solution: https://www.elastiflow.com/get-started