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Data points per minute in Grafana Cloud: What you need to know about DPM

Blog post from Grafana Labs

Post Details
Company
Date Published
Author
Matt Wimpelberg and Anatolii Timoshuk
Word Count
1,176
Company Posts That Month
23
Language
English
Hacker News Points
-
Post removed?
No
Summary

Data Points per Minute (DPM) is a key metric in Grafana Cloud that measures how frequently data is sent from each unique time series, acting as a proxy for ingestion volume and system load, and forming a core part of the billing and usage model. While 1 DPM per active time series is standard for most metrics, higher DPM rates can lead to increased costs without necessarily enhancing accuracy or monitoring capabilities, as dashboards and alerts often do not benefit from excessive data. However, higher DPM can be justified in scenarios requiring real-time insights, such as low latency systems or short time window alerts. Managing DPM involves adjusting scrape intervals, identifying high-frequency series with tools like dpm-finder, checking for discarded writes, and using Grafana Cloud's features like Adaptive Metrics and interval processors to optimize data ingestion and reduce unnecessary resource usage. Understanding and controlling DPM helps maintain efficient and cost-effective observability pipelines in Grafana Cloud.

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