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* util: Prefix module imports with prosody namespaceKim Alvefur2023-03-171-3/+3
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* openmetrics/histograms: improve code clarityKim Alvefur2021-12-271-1/+1
| | | | | If buckets thresholds are to be taken as "less than or equal to", then using the less than or equal to operator seems sensible.
* openmetrics/histograms: fix incorrect condition for bucketingJonas Schäfer2021-12-261-1/+1
| | | | | | The buckets thresholds are to be taken as "less than or equal to". The condition as written in the code did only "less than", not "less than or equal to". That's fixed now.
* Statistics: Rewrite statistics backends to use OpenMetricsJonas Schäfer2021-04-181-153/+173
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The metric subsystem of Prosody has had some shortcomings from the perspective of the current state-of-the-art in metric observability. The OpenMetrics standard [0] is a formalization of the data model (and serialization format) of the well-known and widely-used Prometheus [1] software stack. The previous stats subsystem of Prosody did not map well to that format (see e.g. [2] and [3]); the key reason is that it was trying to do too much math on its own ([2]) while lacking first-class support for "families" of metrics ([3]) and structured metric metadata (despite the `extra` argument to metrics, there was no standard way of representing common things like "tags" or "labels"). Even though OpenMetrics has grown from the Prometheus world of monitoring, it maps well to other popular monitoring stacks such as: - InfluxDB (labels can be mapped to tags and fields as necessary) - Carbon/Graphite (labels can be attached to the metric name with dot-separation) - StatsD (see graphite when assuming that graphite is used as backend, which is the default) The util.statsd module has been ported to use the OpenMetrics model as a proof of concept. An implementation which exposes the util.statistics backend data as Prometheus metrics is ready for publishing in prosody-modules (most likely as mod_openmetrics_prometheus to avoid breaking existing 0.11 deployments). At the same time, the previous measure()-based API had one major advantage: It is really simple and easy to use without requiring lots of knowledge about OpenMetrics or similar concepts. For that reason as well as compatibility with existing code, it is preserved and may even be extended in the future. However, code relying on the `stats-updated` event as well as `get_stats` from `statsmanager` will break because the data model has changed completely; in case of `stats-updated`, the code will simply not run (as the event was renamed in order to avoid conflicts); the `get_stats` function has been removed completely (so it will cause a traceback when it is attempted to be used). Note that the measure_*_event methods have been removed from the module API. I was unable to find any uses or documentation and thus deemed they should not be ported. Re-implementation is possible when necessary. [0]: https://openmetrics.io/ [1]: https://prometheus.io/ [2]: #959 [3]: #960
* util.statistics: Unify API of methods to include a config tableKim Alvefur2019-01-041-14/+23
| | | | | The primary goal here is to allow specifying an unit that each statistic is measured in.
* util.statistics: Add a total count for rate counters, counting from server ↵Emmanuel Gil Peyrot2019-10-101-1/+3
| | | | start.
* util.statistics,statsd,throttle,timer: Replace dependency on LuaSockect with ↵Kim Alvefur2017-03-201-1/+1
| | | | util.time for precision time
* util.statistics: Collect duration sample even if run fewer times than the ↵Kim Alvefur2015-05-051-2/+2
| | | | sample interval
* util.statistics: Return 0 as percentile if data out of rangeMatthew Wild2015-01-301-1/+1
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* statsmanager, util.statistics: API changes, remove debuggingMatthew Wild2015-01-211-24/+53
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* util.statistics: New library for gathering various kinds of statisticsMatthew Wild2015-01-201-0/+131