What are high cardinality issues in Prometheus?
High cardinality in Prometheus refers to metrics with a large number of unique label combinations, which can lead to performance problems.
Why is high cardinality a problem for monitoring?
It can increase memory usage and slow down queries, making it difficult to retrieve and analyze data efficiently.
How can I reduce high cardinality in my metrics?
You can reduce high cardinality by limiting the number of labels, aggregating metrics, or using more general labels.
Are there any tools to help manage high cardinality in Prometheus?
Yes, tools like Prometheus's own recording rules and external systems like Thanos can help manage and optimize high cardinality metrics.
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