Logs provide the detailed context needed to understand why an issue is happening. In this second video of our four-part Grafana Observability Pillars series, we explore how logs capture events and metadata across applications and infrastructure. You’ll learn how Grafana Cloud helps teams search, filter, and analyse logs, and how connecting logs with metrics can make troubleshooting faster and more effective. By turning system signals into detailed explanations, logs help teams understand not just what went wrong, but why. In the next video, we’ll explore the third pillar of observability: traces. You’ll learn how metrics work within Grafana, how they are stored using time series databases such as Prometheus and Mimir, and how they support proactive monitoring and alerting. We also cover key approaches including the RED method (Rate, Errors, and Duration) for application performance, and the USE method (Utilisation, Saturation, and Errors) for infrastructure health. By turning system activity into measurable insights, metrics help teams move from reactive troubleshooting to proactive observability - identifying potential issues before they impact users. In the next video, we’ll explore the second pillar of observability: logs, and how they provide the deeper context needed to understand the root cause behind system issues.