What are the best practices for using Prometheus metrics?
Some best practices include using meaningful metric names, avoiding high cardinality, and aggregating metrics appropriately.
Can you explain why high cardinality is a problem?
High cardinality can lead to increased memory usage and slower query performance, making it harder to manage metrics.
What are some examples of high cardinality metrics?
Examples include user IDs, session IDs, or any metric that has a large number of unique values.
How can I reduce cardinality in my metrics?
You can reduce cardinality by aggregating metrics, using labels wisely, and avoiding unnecessary dimensions.
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