GDS Metrics are in Alpha and these instructions are subject to change.
This package is a thin wrapper around the Python Prometheus client that:
- protects your
/metricsendpoint with basic HTTP authentication for apps deployed to GOV.UK PaaS
- exposes standard metrics to be used in Grafana
http_server_request_duration_seconds_bucket, http_server_request_duration_seconds_count, http_server_request_duration_seconds_sum, http_server_exceptions_total
Once you’ve added this package, metrics data is served from your app's metrics endpoint and is scraped by Prometheus. This data can be turned into performance dashboards using Grafana.
You can read more about the Reliability Engineering monitoring solution here.
Before using GDS metrics
Before using GDS metrics you should have:
- created a Python Flask app running on a Gunicorn HTTP Server
- deployed it to GOV.UK Platform as a Service (PaaS)
How to install metrics for Flask apps served on a Gunicorn server
To use GDS metrics you must:
Add the latest version of the package to your
requirements.txt, for example:
Run the following command to install the package:
pip install -r requirements.txt
In your application file, usually
application.py, create the GDSMetrics object and pass the Flask app object to the
... from gds_metrics import GDSMetrics app = Flask(__name__) metrics = GDSMetrics() metrics.init_app(app) ...
Add/Update your Gunicorn config to import
child_exitfrom the library:
from gds_metrics.gunicorn import child_exit
More information about Prometheus Gunicorn setup.
Restart your server by running:
gunicorn -c <config file>.py <application file>:<app variable>
For example -
gunicorn -c gunicorn_config.py application:app
Visit any page of your app (for example the index page) to generate some site traffic
Visit the metrics endpoint at
/metricsto check if the package was set up correctly. If it's set up correctly, you will see a page containing some metrics (for example
Running on GOV.UK Platform as a Service (PaaS)
When running on PaaS, citizens won’t see your metrics in production as this endpoint is automatically protected with authentication.
You can also read the official Cloud Foundry guide which has detailed information on deploying Python apps.
You can change the path for serving metrics (by default
/metrics) by setting the
PROMETHEUS_METRICS_PATH environment variable.
If you are running
blue-green deployments through a cf plugin like [autopilot] you should disable basic auth on the
\metrics endpoint and use IP whitelisting by setting the
METRICS_BASIC_AUTH environment variable to
false. This will minimise gaps in metrics during deployment.
How to setup extended metrics
While common metrics are recorded by default, you can also:
- record your own metrics such as how many users are signed up for your service, or how many emails it's sent
- use the Prometheus interface to set your own metrics as the metrics Python package is built on top of the Python Prometheus client
You can read more about the different types of metrics available in the Prometheus documentation.
GDS Reliability Engineering welcome contributions. We'd appreciate it if you write tests with your changes and document them where appropriate, this will help us review them quickly.
This project is licensed under the MIT License.