eBPF Instrumentation

Zero Instrumentation eBPF Based Observability ‐------‐------------------------------------------------------- 🐝eBPF (extended Berkeley Packet Filter) • eBPF extends the Linux kernel with the ability to run sandboxed bytecode at well-defined kernel hook points such as kprobes / kretprobes ,tracepoints ,network sockets, perf events etc. • These eBPF programs can safely inspect syscalls, network packets, process context, and scheduling behavior. Key advantages include: • Zero instrumentation inside the application • Low overhead due to JIT compilation and in-kernel execution • Access to high-fidelity syscall & network-level telemetry • Safe execution with verifier checks and strict memory access rules This makes eBPF ideal for production-grade observability, security, and performance analysis. 📊 How Beyla Uses eBPF • Uses eBPF probes to capture application traffic automatically • No SDKs, no code changes, no sidecars. • Detects Incoming/outgoing requests, service-to-service calls. • Sends Rate Error Duration Metrics. • Include new services as soon as they start. • Works with any runtime: Go, Java, Python, Node, etc. 🌐 Service Maps with Beyla + Grafana/Tempo • Beyla infers who calls whom from real traffic. Exporting data to Tempo + Grafana Visualization provides: • Real-time service maps • Request-flow visualization • Trace correlation across microservices ⭐️Summary • eBPF → Kernel-space instrumentation via kprobes, tracepoints, and socket-level hooks • Beyla → Automated metrics + span generation by reconstructing flows from kernel events • Tempo → Distributed trace storage + dependency graphs built from Beyla-emitted spans • Result → End-to-end observability pipeline with syscall-level capture, auto-generated telemetry, and zero application instrumentation