Why is time synchronization important for NPM data, and how is it achieved?

Why is time synchronization important for NPM data, and how is it achieved?

• A. Time synchronization is optional
• B. Time synchronization is not required for correlation
• C. Timestamps must be aligned for correct correlation; use NTP to sync the Orion server and devices, ensuring consistent data across sources
• D. Time is only important for logs, not metrics

Answer: (C)

Time alignment across all data sources is essential for accurate correlation of NPM data. Every metric, event, and log entry carries a timestamp, and when devices drift apart in time, the sequence and relationship of events across devices become unreliable. That makes it hard to piece together what happened, identify root causes, or build coherent trends and dashboards. Using NTP to synchronize the Orion server and all monitored devices ensures every data point shares a common time basis. This alignment lets you reliably correlate data from multiple sources, compare timelines side-by-side, and maintain consistent alerts and reporting. In practice, point your devices and the Orion server to trusted NTP servers and keep their clocks disciplined; this preserves data integrity across the entire monitoring environment.

Time alignment across all data sources is essential for accurate correlation of NPM data. Every metric, event, and log entry carries a timestamp, and when devices drift apart in time, the sequence and relationship of events across devices become unreliable. That makes it hard to piece together what happened, identify root causes, or build coherent trends and dashboards.

Using NTP to synchronize the Orion server and all monitored devices ensures every data point shares a common time basis. This alignment lets you reliably correlate data from multiple sources, compare timelines side-by-side, and maintain consistent alerts and reporting. In practice, point your devices and the Orion server to trusted NTP servers and keep their clocks disciplined; this preserves data integrity across the entire monitoring environment.