Advanced Kubernetes Observability with eBPF
Kubernetes has become the de facto standard for orchestrating containerized applications, but its dynamic and distributed nature introduces significant challenges for observability. Traditional monitoring tools often struggle to provide deep insights into the intricate interactions within a Kubernetes cluster, especially at the network level. This is where eBPF (extended Berkeley Packet Filter) emerges as a game-changer. By enabling the execution of custom programs directly within the Linux kernel, eBPF offers unprecedented visibility into system calls, network events, and process interactions without modifying kernel source code or loading kernel modules. This post will explore how eBPF can revolutionize Kubernetes observability, with a particular focus on advanced network monitoring techniques.
