Which approach helps correlate metrics and logs for troubleshooting performance issues?

Using Cloud Monitoring to view exported Prometheus metrics is an effective approach for correlating metrics and logs when troubleshooting performance issues. Cloud Monitoring provides a user-friendly interface to access and visualize metrics generated by your applications. When metrics from Prometheus are exported to Cloud Monitoring, it enables developers and operators to gain insights into performance trends and resource usage patterns.

By visualizing these metrics alongside logs from Cloud Logging, teams can quickly identify issues, such as spikes in usage that may correlate with specific log entries indicating errors or bottlenecks. This integrated view facilitates correlation diagnoses, enabling more effective troubleshooting through real-time monitoring and alerting.

Metrics from Prometheus include detailed performance information such as latency, throughput, and error rates, which, combined with log data, can provide a comprehensive understanding of system behavior during troubleshooting sessions. This makes the identified approach particularly valuable in complex environments where pinpointing the root cause of performance issues is critical for maintaining system reliability and user satisfaction.