I’ve just open-sourced my Grafana dashboard. The dashboard designed for a Flask web application that exposes metrics with my flask_prometheus_metrics Flask extension.

Dashboard aimed at the apps deployed with Kubernetes, although it can be easily tweaked to be infrastructure-agnostic.

12 dasboard’s panels covers the following metrics:

• Requests per second per host, endpoint, HTTP method etc.
• Latency
• Percentiles (latency within which certain percent of requests served)
• Number of 4xx, 5xx errors per second
• Error count by endpoint
• CPU usage per host
• Memory usage per host
• Open file descriptors per host
• App’s uptime per host
• App’s version per host
• App’s deployment environment (e.g. development, staging, production) per host
• Python interpretor version per host

Dashboard also provides variables:

• Prometheus datasource
• Time interval
• Kubernetes pod name
• App’s endpoint
• HTTP method
• Percentile
• HTTP status code for errors

The variables allow to change some panels charts grouing, intervals, labels selection.

Usage is easy:

1. Install flask_prometheus_metrics exporter to your Flask application
2. Make Prometheus scraping your app’s /metrics endpoint
3. Import flask-web-app.json at https://<your-grafana-domain>.tld/dashboard/import

If you do not deploy your app in Kubernetes you may need to tweak flask-web-app.json pod labels to meet your needs. Instead of pod you may use instance or hostname or other label name depending on how your Prometheus handle your app’s hostname.