Flask-MonitoringDashboard 1.12.5

Automatically monitor the evolving performance of Flask/Python web services.

# Flask Monitoring Dashboard [](https://travis-ci.org/flask-dashboard/Flask-MonitoringDashboard) [](http://flask-monitoringdashboard.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/flask-dashboard/Flask-MonitoringDashboard) [](https://badge.fury.io/py/Flask-MonitoringDashboard) [](https://img.shields.io/pypi/pyversions/flask_monitoringdashboard.svg) [](http://pepy.tech/count/flask-monitoringdashboard)

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 Flask application: Our Dashboard allows you to see which endpoints process a lot of request and how fast. Additionally, it provides information about the evolving performance of an endpoint throughout different versions if you’re using git. - 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](http://flask-monitoringdashboard.readthedocs.io/en/latest/functionality.html#test-coverage-monitoring). - 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). - Visualize the collected data in a number useful graphs: 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](http://localhost:5000/dashboard)

For a more advanced documentation, take a look at the information on [this site](http://flask-monitoringdashboard.readthedocs.io/en/latest/functionality.html).

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

python setup.py install

Or install with pip:

pip install flask_monitoringdashboard

### Setup Adding the extension to your Flask app is simple:

from flask import Flask import flask_monitoringdashboard as dashboard

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

## Documentation For a more advanced documentation, see [this site](http://flask-monitoringdashboard.readthedocs.io).

## Screenshots  

Change Log

All notable changes to this project will be documented in this file. This project adheres to Semantic Versioning. Please note that the changes before version 1.10.0 have not been documented.

Unreleased

Changed

• Added mean CPU

• Updated documentation

• Updated the Test-Monitoring initialization

v1.12.0

Changed

• Removed two graphs: hits per hour and execution time per hour

• New template design

• Refactored backhand of the code

• Updated Bootstrap 3.0 to 4.0

• Setup of Code coverage

v1.11.0

Changed

• Added new graph: Version usage

• Added column (Hits in past 7 days) in Measurements Overview

• Fixed bug with configuration

• Changed rows and column in outlier-table

• Added TODO List

• Updated functionality to retrieve the stacktrace of an Outlier

• Fixed bug with white colors from the config option

v1.10.0

Changed

• Added security for automatic endpoint-data retrieval.

• Added test for export_data-endpoints

• Added MIT License.

• Added documentation