How can Dynatrace dashboards handle date conversion across multiple regional time zones?

Time Zone Alignment in Dynatrace

Dynatrace handles date conversion by storing all time-series data internally in Coordinated Universal Time (UTC). This creates a single, immutable temporal baseline regardless of where the data originates geographically. The conversion to regional time zones happens at the presentation layer (the dashboard) rather than the data layer.

How Conversion is Managed

By default, Dynatrace dashboards utilize the viewer's local browser time zone to render timestamps. This ensures that a user in New York and a user in Tokyo see the same event aligned with their own local clock. To maintain a consistent reference zone across a global team, you can use the following methods:

• Global Time Selector: Use the dashboard's time selector to override the "Local" setting. Selecting a specific UTC offset forces all tiles on the dashboard to align to that specific region, regardless of the viewer's location.
• Relative Timeframes: Use relative windows (e.g., "Last 2 hours") to ensure that the temporal window remains consistent regardless of the regional offset.

Verification Steps

To verify that time zone offsets are applied correctly across diverse regional entities, perform these checks:

1. Toggle the Selector: Open a dashboard and switch the time zone selector from "Local" to a specific UTC offset to observe the shift in data points.
2. Cross-Reference Events: Compare the timestamp of a specific event in the Events feed against the dashboard tile visualization for the same period.
3. Validate Host Sync: Ensure that monitored hosts are synchronized via NTP; if a system clock drifts, the data will appear inaccurate.

Implementation Assumptions

This behavior assumes the use of standard dashboard tiles. If you are using Dynatrace Query Language (DQL) for custom data exploration or exporting data via API to external systems, you may need to explicitly handle offsets, as raw responses typically return UTC.

Missing Detail: Are you utilizing custom DQL queries for these visualizations, or are you using standard out-of-the-box dashboard tiles?