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Robust histogram functionality was added to Prometheus long ago, to be precise in version 0.11.0. The histogram representation as we know it from Prometheus andnow also OpenMetrics is a simple yet powerful and enables many important use cases. However, it is also infuriatingly limited, mostly because of its high per-bucket cost. Björn “Beorn” Rabenstein released the above mentioned Prometheus version in February 2015 and has been dreaming about better histograms ever since. In this talk, he will explain why it is so hard for Prometheus to adopt established techniques known from various academic publications and even practical applications in other metrics-processing systems. To add a silver lining, he will share his latest findings from reignited efforts to finally break through the barriers and bring efficient high-resolution histograms to Prometheus.
Björn “Beorn” Rabenstein is an engineer at Grafana Labs and a Prometheus developer. Previously, he was a Production Engineer at SoundCloud, a Site Reliability Engineer at Google, and a number cruncher for science.
