{
  "$type": "site.standard.document",
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  "path": "/t/ebpf-in-go-observability-for-ai-generated-services/177181#post_1",
  "publishedAt": "2026-06-26T09:08:31.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "github.com/cilium/ebpf/cmd/bpf@latest`",
    "https://cheikhhseck.medium.com/ebpf-in-go-observability-for-ai-generated-services-9aae7573b823"
  ],
  "textContent": "eBPF in Go: Observability for AI-Generated Services\n\nA hands-on tutorial on using eBPF with Go for kernel-level observability to debug production issues in AI-generated services.\n\n### The Problem: AI Code, No Visibility\n\nI recently hit a wall debugging a Go service that was generating AI code. P95 latency jumped from 40ms to 4 seconds with no app-level visibility into what was happening. Traditional logging and profiling tools were useless - the issue was happening at the kernel level.\n\n### Why eBPF for AI Services?\n\nAI-generated code often lacks context about kernel interactions. eBPF lets you trace:\n\n  * System calls and file I/O\n  * Network events and packet flow\n  * CPU/memory usage at the kernel level\n  * Custom application events\n\n\n\nAll without modifying your kernel or restarting services.\n\n### Quick Example: Tracing syscalls with Go and Cilium\n\n\n    package main\n\n    import (\"fmt\"\"os\"\"  \")\n\n    func main() {// Load the eBPF programobjs := &struct {TraceOpen *ebpf.Program `ebpf:\"trace_open\"`}{}\n\n    collSpec, err := ebpf.LoadCollectionSpec(\"trace.pbf\")\n    if err != nil {\n        panic(err)\n    }\n\n    if err := collSpec.LoadAndAssign(objs, nil); err != nil {\n        panic(err)\n    }\n\n    // Attach to the open syscall\n    kp, err := ebpf.Kprobe(\"do_syscall_64\")\n    if err != nil {\n        panic(err)\n    }\n\n    if err := objs.TraceOpen.Attach(kp); err != nil {\n        panic(err)\n    }\n\n    fmt.Println(\"Tracing... Hit Ctrl-C to exit\")\n    <-make(chan struct{})\n    }\n\n\n### Key Takeaways\n\n  1. **Install**: `go install github.com/cilium/ebpf/cmd/bpf@latest`\n  2. **Write eBPF programs** in C, compile with clang\n  3. **Load and attach** from Go using Cilium’s library\n  4. **Trace kprobes, tracepoints, perf-event ringbuffers**\n\n\n\n### Real-World Impact\n\nThis approach helped me identify that AI-generated services were making excessive file I/O calls that weren’t visible in application logs. Once we added eBPF tracing, we could see the actual kernel-level behavior and optimize accordingly.\n\n### Read the Full Tutorial\n\nI’ve published a complete working example with step-by-step instructions:\n\nhttps://cheikhhseck.medium.com/ebpf-in-go-observability-for-ai-generated-services-9aae7573b823",
  "title": "eBPF in Go: Observability for AI-Generated Services"
}