Fix cc.requests.outstanding.gauge when using puma web server #3841
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cloudfoundry#1312 introduced `cc.requests.outstanding.gauge` which holds the counter in memory. With the introduction of puma there may be multiple processes, so each would emit its own value for this metric. This would cause the gauge to flop between values. This metric is listed as an important kpi for capi scaling https://docs.cloudfoundry.org/running/managing-cf/scaling-cloud-controller.html#cloud_controller_ng. This fix for puma will instead uses Redis for the gauge. * Move requests_metric to use statsd_updater * Statsd_updater now contains statsd request logic * Add Redis/Inmemory store to statsd_updager * Add a missing mutux to counter for thread safety for the in memory implementation. * Chose to prefix the entry in redis with `metrics:` but open to feedback here. Inspired by cloudfoundry@4539e59 An alternative considered, was to read the prometheus metric and re-emit that to StatsD, however we observed performance degradation. Presumably because of the number of reads from disk for the [DirectFileStorage](https://github.com/prometheus/client_ruby?tab=readme-ov-file#directfilestore-caveats-and-things-to-keep-in-mind) to aggregate the metric across processes.
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Code looks good, I'll do acceptance tomorrow |
philippthun
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Jun 14, 2024
joaopapereira
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Jun 14, 2024
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#1312 introduced
cc.requests.outstanding.gaugewhich holds the counter in memory. With the introduction of puma there may be multiple processes, so each would emit its own value for this metric. This would cause the gauge to flop between values. This metric is listed as an important kpi for capi scaling https://docs.cloudfoundry.org/running/managing-cf/scaling-cloud-controller.html#cloud_controller_ng.This fix for puma will instead uses Redis for the gauge.
metrics:but open to feedback here.Inspired by 4539e59
An alternative considered, was to read the prometheus metric and re-emit that to StatsD, however we observed performance degradation. Presumably because of the number of reads from disk for the DirectFileStorage to aggregate the metric across processes and so Redis seemed the best approach.
cc @sethboyles / @pivotalgeorge
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