Python library to interact transparently with Prometheus, Pushgateway and Dogstatsd.
The client can be used with two different approaches, one more opinionated and structured, with all the metrics created and registered at the creation of the client, and one more flexible, where metrics can be registered at any time.
The first approach should help keeping the application using this client cleaner and the metrics management in a centralised place.
In this example all the metrics used by the application are registered as part of the client initialisation.
Example:
# my_app/settings.py
from snyk_metrics import initialise, Counter
counter_1 = Counter(
name="my_app_counter",
documentation="Simple example counter",
label_names=None,
)
counter_2 = Counter(
name="my_app_requests",
documentation="Requests per endpoint and method",
label_names=("endpoint", "method"),
)
metrics = [counter_1, counter_2]
initialise(metrics=metrics, prometheus_enabled=True)# my_app/api/endpoints.py
from my_app.metrics import counter_1, counter_2
def my_function():
counter_1.increment()
def foo_get_endpoint():
counter_2.increment()In this example metrics are created and used within the same file. It could make it harder to keep track of all the metrics in the application, but it can also help in keeping them closer to the part of the project where the metrics are used.
# my_app/settings.py
from snyk_metrics import initialise
initialise(prometheus_enabled=True, lock_registry=False)# my_app/api/endpoints.py
from snyk_metrics import Counter
counter_1 = Counter(
name="my_app_counter",
documentation="Simple example counter",
label_names=None,
)
counter_2 = Counter(
name="my_app_requests",
documentation="Requests per endpoint and method",
label_names=("endpoint", "method"),
)
def my_function():
counter_1.increment()
def foo_get_endpoint():
counter_2.increment()