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An aggregating HTTP proxy to enable HA prometheus

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High-level overview

Promxy is a prometheus proxy that makes many shards of prometheus appear as a single API endpoint to the user. This significantly simplifies operations and use of prometheus at scale (when you have more than one prometheus host). Promxy delivers this unified access endpoint without requiring any sidecars, custom-builds, or other changes to your prometheus infrastructure.

Why promxy?

Detailed version

Short version: Prometheus itself provides no real HA/clustering support. As such the best-practice is to run multiple (e.g N) hosts with the same config. Similarly prometheus has no real built-in query federation, which means that you end up with N sources in grafana that is (1) confusing grafana users and (2) no support for aggregation across the sources. Promxy enables an HA prometheus setup by "merging" the data from the duplicate hosts (so if there is a gap in one, promxy will fill with the other). In addition Promxy provides a single datasource for all promql queries -- meaning your grafana can have a single source and you can have globally aggregated promql queries.

Quickstart

Release binaries are available on the releases page.

If you are interested in hacking on promxy (or just running your own build), you can install via go get:

go get -u github.com/jacksontj/promxy/cmd/promxy

An example configuration file is available in the repo.

With that configuration modified and ready, all that is left is to run promxy:

./promxy --config=config.yaml

FAQ

What is a "ServerGroup"?

A ServerGroup is a set of prometheus hosts configured the same. This is a common best practice for prometheus infrastructure as prometheus itself doesn't support any HA/clustering. This allows promxy to merge data from multiple hosts in the ServerGroup (all until it becomes a priority). This allows promxy to "fill" in the holes in timeseries, such as the ones created when upgrading prometheus or rebooting the host

What versions of prometheus does promxy support?

Promxy uses the /v1 API of prometheus under-the-hood, meaning that promxy simply requires that API to be present. Promxy has been used with as early as prom 1.7 and as recent as 2.3. If you run into issues with any prometheus version with the /v1 API please open up an issue.

What changes are required to my prometheus infra for promxy?

None. Promxy is simply an aggregating proxy that sends requests to prometheus-- meaning it requires no changes to your existing prometheus install.

What is query performance like with promxy?

Promxy's goal is to be the same performance as the slowest prometheus server it has to talk to. If you have a query that is significantly slower through promxy than on prometheus direct please open up an issue so we can get that taken care of.

Note: if you are running prometheus <2.2 you may notice "slow" performance when running queries that access large amounts of data. This is due to inefficient json marshaling in prometheus. You can workaround this by configuring promxy to use the remote_read API

How does Promxy know what prometheus server to route to?

Promxy currently does a complete scatter-gather to all configured server groups. There are plans to reduce scatter-gather queries but in practice the current "scatter-gather always" implementation hasn't been a bottleneck.

How do I use alerting/recording rules in promxy?

Promxy is simply an aggregating proxy in front of your prometheus infrastructure. As such, you can use promxy to create alerting/recording rules which will execute across your entire prometheus infrastructure. For example, if you wanted to know that the global error rate was <10% this would be impossible on the individual prometheus hosts (without federation, or re-scraping) but trivial in promxy.

Note: recording rules in regular prometheus write to their local tsdb. Promxy has no local tsdb, so if you wish to use recording rules (or see the metrics from alerting rules) a remote_write endpoint must be defined in the promxy config (which is where it will send those metrics).

Questions/Bugs/etc.

Feedback is greatly appreciated. If you find a bug, have a feature request, or just have a general question feel free to open up an issue!

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