The four golden signals in Kubernetes monitoring are Latency, traffic, error and saturation. To monitor these signals effectively, it's essential to focus on the most relevant data points and avoid collecting too much noise. The ideal approach is to think like a doctor, identifying which symptoms to collect to diagnose problems efficiently. Monitoring tools can help streamline this process, but it's crucial to choose the right ones and configure them correctly. eBPF (Extended Berkeley Packet Filter) has proven advantages in Kubernetes observability, allowing for efficient monitoring of API calls and simplifying the collection of golden signals. By leveraging eBPF, tools like groundcover provide a scalable solution for collecting and analyzing these critical metrics.