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# prometheus-push-client
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Push metrics from your regular and/or long-running jobs to existing Prometheus/VictoriaMetrics monitoring system.
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Push metrics from your periodic long-running jobs to existing Prometheus/VictoriaMetrics monitoring system.
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Currently supports pushes directly to VictoriaMetrics via UDP and HTTP using InfluxDB line protocol as [described here](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html?highlight=telegraf#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf).
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Currently supports pushes directly to `VictoriaMetrics` via UDP and HTTP using InfluxDB line protocol as [described here](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html?highlight=telegraf#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf).
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For pure Prometheus setups, pushes into StatsD/statsd-exporter in StatsD format via UDP are supported ([see exporter docs](https://github.com/prometheus/statsd_exporter#with-statsd)). Prometheus and StatsD metric types are not fully compatible, so currenly all metrics become StatsD gauges, but `rate`, `increase`, `histogram_quantile` and other PromQL functions produce same results as if types never changed.
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For `pure Prometheus` setups, several options are supported:
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- to [StatsD](https://github.com/statsd/statsd) or [statsd-exporter](https://github.com/prometheus/statsd_exporter#with-statsd) in StatsD format via UDP. Prometheus and StatsD metric types are not fully compatible, so currenly all metrics become StatsD gauges, but `rate`, `increase`, `histogram_quantile` and other PromQL functions produce same results as if types never changed.
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- to [pushgateway](https://github.com/prometheus/pushgateway) or [prom-aggregation-gateway](https://github.com/weaveworks/prom-aggregation-gateway) in OpenMetrics format via HTTP. Please read corresponding docs about appropriate use cases and limitations.
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Install it via pip:
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