What is observability in Go?

It's logs, metrics, traces, profiling fused to debug live systems. Starts with stdlib log/slog, scales to distributed tracing.

Should I start Go observability with logs or traces?

Logs. Dead simple, derive metrics from them. Traces shine in multi-service setups.

When to use eBPF for Go apps?

Kernel/network blind spots. Production outages where app signals fail—like Cilium users do.

🏗️ DevOps & Infrastructure

Go Observability: Logs First, Then Unlock Traces and eBPF – Grafana's Blueprint

Dozens of panics hit Grafana's Go services daily—until logs transformed them into alertable metrics. Here's the no-BS path to observability that actually scales.

Open Source Beat Apr 07, 2026 4 min read

Grafana Labs engineers discussing observability strategies for Go applications on Big Tent podcast

⚡ Key Takeaways

Start observability in Go with stdlib logs—derive metrics like panic counts from them. 𝕏
Use tracing for distributed systems; context propagation ties it together. 𝕏
eBPF unlocks kernel visibility; pair with pprof for full-stack debugging. 𝕏

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#Go logging #Grafana Big Tent #eBPF Go #eBPF tracing #observability in Go #tracing Go

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Originally reported by Grafana Blog

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