Python programmable Prometheus exporter
p3exporter will help any DevOps to quickstart its Prometheus exporter development. It is completly written in python and provides a facility for pluggable metric collectors. The exporter comes with real life exporters to illustrate how it works but is also intended to use as a framework for completely custom collectors.
The included collectors were only tested on linux systems. Other *nix derivates are not supported by us but you are welcome to contribute to bring this exporter to a broader audience.
Installation and Running
There are different ways to run the exporter on your system. Our exporter listen on tcp/5876 by default. You can change this by adding
-p option with the port of your choice.
Running exporter as docker container
The simplest way will is to start it as docker container.
The container image is hosted on dockerhub and the latest tag represent the
develop branch of the github repository.
If you want to use a given version you can us the verson string (e.g.
v1.0.0) as tag instead.
docker run -d --net="host" --pid="host" -v "/:/host:ro,rslave" codeaffen/p3exporter:latest
Installing from pypi.org
We also release all versions on pypi so you can use
pip to install the exporter and run it locally.
pip install p3exporter
This will install the exporter and all of its dependencies. Now you can start it as every other program. You need to add
-c option with path to your
$ curl --silent https://raw.githubusercontent.com/codeaffen/p3exporter/develop/p3.yml --output ~/tmp/p3.yml $ p3exporter --config ~/tmp/p3.yml INFO:root:Collector 'example' was loaded and registred successfully INFO:root:Collector 'loadavg' was loaded and registred successfully INFO:root:Collector 'netdev' was loaded and registred successfully INFO:root:Start exporter, listen on 5876
Install from repository
The last option to install and run p3exporter is to install it from a local clone of our github repository.
$ git clone https://github.com/codeaffen/p3exporter.git Cloning into 'p3exporter'... remote: Enumerating objects: 158, done. remote: Counting objects: 100% (158/158), done. remote: Compressing objects: 100% (112/112), done. remote: Total 158 (delta 63), reused 101 (delta 28), pack-reused 0 Receiving objects: 100% (158/158), 188.37 KiB | 1.08 MiB/s, done. Resolving deltas: 100% (63/63), done. $ cd p3exporter $ pip install -e .
From now you can run it with:
$ p3exporter INFO:root:Collector 'example' was loaded and registred successfully INFO:root:Collector 'loadavg' was loaded and registred successfully INFO:root:Collector 'netdev' was loaded and registred successfully INFO:root:Start exporter, listen on 5876
Building your own container image
To build your own container image you can use the dockerfile which is delivered in our github repository. This file is also used to create our images on dockerhub.
$ docker build -t p3exporter . Sending build context to Docker daemon 181.8kB ... Successfully built a6bdf60489f5 Successfully tagged p3exporter:latest
Now you can start the container. Here you can use the command from above. You have just to use your image
docker run -d --net="host" --pid="host" -v "/:/host:ro,rslave" p3exporter:latest
example collector that actually does nothing but show how long a function has been executed
collects average load in 1, 5 and 15 minutes interval
collects netword device information and statistics
Activation and Deactivation of collectors
To activate or deactive collectors you have to configure it in
p3.yml within the
collectors list. All collectors listed in this list will be activated a start time of p3exporter. If there are any issues e.g. collector can’t be found or has failures in code a warning will be shown and it will not be activated.
exporter_name: "Python prammable Prometheus exporter" collectors: - example - loadavg - netdev collector_opts: netdev: whitelist: blacklist: - docker0 - lo