Observability in Go: Where to start and what matters most

This article summarizes a podcast discussion about observability in Go, emphasizing a practical approach. Experts recommend starting with logs as the easiest entry point, and evolving to metrics, tracing, and profiling as systems become more complex. They highlight the importance of standardization, leveraging Go's standard library, and tools like `pprof` for performance analysis, while also discussing the benefits of error types and technologies like eBPF for deeper system visibility.