Dashboard for automatic monitoring of Flask web-services.

The Flask Monitoring Dashboard is an extension that offers four main functionalities with little effort from the Flask developer:

• Monitor the performance and utilization: The Dashboard allows you to see which endpoints process a lot of requests and how fast. Additionally, it provides information about the evolving performance of an endpoint throughout different versions if you're using git.

• Profile requests and endpoints: The execution path of every request is tracked and stored into the database. This allows you to gain insight over which functions in your code take the most time to execute. Since all requests for an endpoint are also merged together, the Dashboard provides an overview of which functions are used in which endpoint.

• Monitor your test coverage: The Dashboard allows you to find out which endpoints are covered by unit tests, allowing also for integration with Travis for automation purposes. For more information, see this file

• Collect extra information about outliers: Outliers are requests that take much longer to process than regular requests. The Dashboard automatically detects that a request is an outlier and stores extra information about it (stack trace, request values, Request headers, Request environment).

The dashboard is automatically added to your existing Flask application. You can view the results by default using the default endpoint (this can be configured to another route):

/dashboard

For more advanced documentation, take a look at the information on this site.

To install from source, download the source code, then run this:

python setup.py install

Or install with pip:

pip install flask_monitoringdashboard

Adding the extension to your Flask app is simple:

from flask import Flask
import flask_monitoringdashboard as dashboard

app = Flask(__name__)
dashboard.bind(app)

For more advanced documentation, see this site. If you run into trouble migrating from version 1.X.X to version 2.0.0, this site also helps you solve this.