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• Sparse histograms are a new type of histogram that allows for efficient monitoring of metrics with high resolution and low memory usage.
• The implementation of sparse histograms in Prometheus and Grafana allows for efficient scraping and visualization of metrics.
• The use of sparse histograms can be applied to various types of metrics, including latency and memory usage.
• The implementation of sparse histograms is open source and available for use in the client golang library and Prometheus server.