This library uses sensors of Faust. Those sensors are events based. Our monitor implements that interface and hooks some actions when those events happen. That allows us to create our own prometheus Counters
, Gauges
and Histograms
.
I created some predefined metrics, but we can expand on them in the future.
To use this library in your faust project just add faustprometheus
or install it through pip:
pip install faustprometheus
Add PrometheusMonitor
to the app as seen below:
import faust
from faustprometheus.monitor import PrometheusMonitor
app = faust.App('example', broker='kafka://')
app.monitor = PrometheusMonitor(app)
You can also configure some global options to monitor through PrometheusMonitorConfig
,
such as 2 levels of prefixes, through namespace
and subsystem
. The path exposing prometheus metrics can be set through metrics
config, with /metrics
as default value.
I added labels to config, but are not applied to monitor due to lack of my understanding of faust sensors and prometheus.
from faustprometheus.config import PrometheusMonitorConfig
monitor_config = PrometheusMonitorConfig(
path='/metrics',
namespace='faust',
subystem='foo-app',
labels=['v2.3', 'prod']
)
Library is fully unit tested and can be run by
pytest