Grafana is widely used for monitoring systems by collecting data through two main approaches: logging and metrics. Logging, exemplified by the ELK stack, involves capturing detailed information about individual events, such as request logs, which can be centralized, analyzed, and graphed to gain insights into system performance. Metrics, on the other hand, use tools like Prometheus to provide an aggregated view, capturing data such as request completion, errors, and latency, which can be analyzed in real-time to create graphs. Both logs and metrics have their advantages and limitations; logs provide detailed event data but can strain network resources as user bases and features expand, while metrics offer a high-level aggregated view but lack granularity for individual events. The article emphasizes the complementary nature of both approaches, advocating for an inclusive monitoring strategy that incorporates both logs and metrics to effectively detect, debug, and resolve system issues.