What’s the best way to start observability in Go?

Logs. Use slog or zap, ship to stdout or Loki. Derive metrics from panics/errors.

When should you add tracing to Go apps?

Past 30 lines or in distributed setups. Propagate context early.

How does eBPF help with Go observability?

Kernel-level visibility—network, syscalls—without app changes. Perfect for prod mysteries. Word count: ~950.

Go Observability Demystified: Logs First, Traces Later, eBPF Magic

Debugging Go? Forget instant perfection. Top engineers say logs are your entry drug to observability—turning panics into graphs overnight. This podcast flips expectations.

DevTools Feed Apr 07, 2026 4 min read

Grafana Big Tent podcast guests discussing Go observability with code snippets and dashboards

⚡ Key Takeaways

Start observability in Go with logs—they're easy, derivable into metrics, and handle panics beautifully. 𝕏
Add tracing for distributed systems to connect spans across services; keep context standardized. 𝕏
Use pprof for profiling hotspots and eBPF for kernel-deep insights as complexity grows. 𝕏

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#Go logging #Go logs vs traces #Grafana Big Tent #distributed tracing #eBPF Go #eBPF observability #observability in Go #tracing Go apps

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Originally reported by Grafana Blog

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