What is a primary dataset type that trends typically keep in Zabbix?

Trends in Zabbix are designed to optimize the storage of historical data by summarizing a dataset over time intervals. The primary dataset type that trends typically keep in Zabbix is hourly aggregated data. This means that Zabbix collects data and summarizes it on an hourly basis, providing a condensed view of the metrics while maintaining a level of detail that is sufficient for many performance monitoring tasks.

Using hourly aggregates allows for a balance between resource usage and comprehensive monitoring. Unlike daily or monthly summaries, which might hide fluctuations within those longer periods, hourly data retains enough granularity to observe trends and patterns that can inform operational decisions. This approach is particularly useful when monitoring systems that need to be responsive to changes within relatively short time frames.

In contrast, other types of datasets, like weekly aggregates, daily averages, and monthly totals, do not capture enough detail for timely analysis and are therefore not the standard for trending in Zabbix. These alternatives can be useful for long-term reporting but do not provide the frequent updates that are essential for effective monitoring in dynamic environments. Hence, hourly aggregated data is a core characteristic of Zabbix's trending capabilities.