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## Problem We don't have metrics to exactly quantify the end user impact of on-demand downloads. Perf tracing is underway (#11140) to supply us with high-resolution *samples*. But it will also be useful to have some aggregate per-timeline and per-instance metrics that definitively contain all observations. ## Summary of changes This PR consists of independent commits that should be reviewed independently. However, for convenience, we're going to merge them together. - refactor(metrics): measure_remote_op can use async traits - impr(pageserver metrics): task_kind dimension for remote_timeline_client latency histo - implements https://github.com/neondatabase/cloud/issues/26800 - refs https://github.com/neondatabase/cloud/issues/26193#issuecomment-2769705793 - use the opportunity to rename the metric and add a _global suffix; checked grafana export, it's only used in two personal dashboards, one of them mine, the other by Heikki - log on-demand download latency for expensive-to-query but precise ground truth - metric for wall clock time spent waiting for on-demand downloads ## Refs - refs https://github.com/neondatabase/cloud/issues/26800 - a bunch of minor investigations / incidents into latency outliers