The blog post explores the importance of observability in monitoring cloud infrastructure and application performance, emphasizing the need to go beyond mere data collection to diagnose system behavior effectively. Using the Logz.io Open 360™ Observability Platform as an example, it explains how to collect and visualize key observability metrics—namely latency, saturation, traffic, and errors—using tools like Kubernetes 360 and Service Overview. These platforms automatically highlight critical metrics and their correlations, enabling quick root cause analysis without the need to build custom dashboards. The article demonstrates how to set up and use these tools to monitor a system's health and performance effectively, highlighting the benefits of data correlation in diagnosing issues swiftly. Additionally, it offers insight into Logz.io's capabilities for cost-effective monitoring with the promise of a free trial, encouraging readers to explore its potential for enhancing their observability practices.