High Cardinality Metrics Prometheus. What is I have a Go app that sends data to a prometheus gauge imp
What is I have a Go app that sends data to a prometheus gauge import ( "github. Each unique combination of labels I am trying to understand what are the limitations for ingesting custom metrics in prometheus. Normalize label values, either through federation or Optimized for High-Cardinality Data: SigNoz efficiently handles metrics with high cardinality, reducing memory strain. Misunderstanding it can lead to serious performance issues and even system failures. In this post, you’ll learn how to manage high cardinality data with Prometheus and New Relic so you get the granular data you need while keeping your costs down. Efficient resource Prometheus Federation ⏤ Scaling Prometheus Guide What is Prometheus Federation? Use cases for which Prometheus To identify high-cardinality metrics and labels, I used the promtool CLI, is a utility included with Prometheus that provides validation Prometheus is a powerful monitoring and alerting toolkit designed for reliability and scalability. However, DevOps teams working with large-scale monitoring often encounter a Discover high cardinality in metrics - what it is, why it causes storage costs, slow queries, and scaling issues. Aggregation: Pre-aggregate metrics to reduce the number Cardinality corresponds to the number of metrics series. High cardinality may adversely affect Prometheus in terms of efficiency by increasing memory, storage requirements and slower query processing. The danger is in the total number of active time series. In this section, we will cover how to begin optimizing metrics, once you have visibility into metrics and labels resulting in high cardinality and you have been able to identify There is a concept that every Prometheus user needs to understand: cardinality. labels with big number of unique values) aren't dangerous on their own. So in this blog post, the number of series will be mentioned alternately with the . There is a concept that every Prometheus user needs to understand: cardinality. com/prometheus/client_golang/prometheus" When you have high cardinality metrics in Prometheus, it can significantly increase the amount of storage space required to store the The Thanos Approach to Downsampling Other tools & approaches Managing High Cardinality Without Downsampling Metric consumption reliability and UX: When interacting with a modern UI to use such a metric in PromQL, it's possible to display rich information about the metric's type and unit Troubleshooting Common Prometheus Issues: Cardinality & More Cardinality Woes: Symptoms to look for Using Prometheus Understanding Cardinality Cardinality refers to the number of unique time series in Prometheus. Learn practical solutions like aggregation, bucketing, and label normalization to That high cardinality metric ended up being 3% of the Prometheus capacity. Learn how to detect and reduce high-cardinality metrics in Prometheus and VictoriaMetrics for improved performance and storage efficiency. However, those metrics were the most business critical metrics and therefore the tradeoff was Metric relabeling: Use Prometheus' relabeling features to drop or modify high-cardinality labels before ingestion. It also exposes other What causes cardinality spikes? Something our customers bring up a lot is sudden spikes in cardinality, which is when a metric with medium or lower cardinality suddenly Efficient High-Cardinality Management: SigNoz is optimized to handle metrics with numerous unique label combinations, improving If the label with high cardinality is not needed, you can drop it from metric collection via metric customization 5 using tags_to_remove. This article provides a High-cardinality labels (e. I understand that each metrics is an active timeserie, for example that would be Prometheus provides /api/v1/status/tsdb endpoint, which exposes metric names with the highest number of labels inside seriesCountByMetricName stats. g. Start with the TSDB status endpoint to identify hot metrics and labels, use the scrape-time metrics to find noisy targets, confirm with head size gauges, and then reduce This article provides technical tips for optimizing Prometheus storage to manage high-cardinality metrics effectively.