Prometheus native histograms are now stable and generally available in Grafana Cloud, enhancing the precision and usability of data visualizations. Introduced during a public preview, these histograms allow for better analysis of latency and duration metrics. Unlike traditional Prometheus histograms, native histograms dynamically adjust bucket boundaries, improving resolution and making it easier to combine and manipulate data in queries. Customers have reported significant benefits from using native histograms. A financial services company leveraged them to dynamically configure buckets, reducing operational costs. An e-commerce platform streamlined onboarding for internal teams, cutting manual configuration efforts and reducing bucket counts by about 30%. The integration with Grafana Metrics Drilldown allows users to access higher-resolution data instantly, generating queries and visualizations without needing to write PromQL. This feature facilitates immediate comparison between native and classic histograms, showcasing differences in accuracy. Pricing for native histograms remains consistent with the public preview, but users should note that they are billed differently than standard time series. A native histogram series is calculated based on active buckets, offering resource savings while maintaining high resolution. Future developments include native histogram custom buckets, which aim to enhance cost efficiency and reliability, pending updates to Prometheus Remote-Write 2.0. Further integration of native histograms with Grafana Cloud products is also on the horizon.