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Optimizing Prometheus Storage: Handling High-Cardinality Metrics at Scale
A technical guide on managing high-cardinality metrics in Prometheus, covering strategies from label optimization to storage configuration. The article provides practical solutions for maintaining mon
itoring system performance through various techniques including data modeling, horizontal scaling, and retention policies.

Reasons to Read -- Learn:

  • specific techniques for optimizing Prometheus storage and reducing system resource usage through practical approaches like label optimization and histogram-based data modeling
  • how to implement horizontal scaling in Prometheus using Kubernetes, enabling you to handle larger monitoring workloads while maintaining performance
  • concrete storage optimization strategies, including how to configure retention policies and storage settings for both short-term troubleshooting and long-term data retention
  • publisher: @platform.engineers
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