A dashboard for automatic monitoring of Flask web-services.

The Flask Monitoring Dashboard (FMD) is designed to easily monitor your Flask application.

Automatically monitor the evolving performance of Flask/Python web services. ... A dashboard for automatic monitoring of Flask (https://flask.palletsprojects.com) web-services.

When the monitoring level is set to 1, the Dashboard collects performance (as in response time) and utilization information for every request coming to that endpoint. The following data is recorded: Duration: the duration of processing that request. Time_requested: the timestamp of when the request is being made. Version_requested: the version of the Flask...

April 30, 2020 - This is a tutorial in how to use and set up a simple Flask application that uses Flask-Monitoring-Dashboard to monitor the system. The…

Dashboard for automatic monitoring of Flask web services.

Monitor the Flask application: The Dashboard allows you to see which endpoints process a lot of request and how fast.

Monitor Flask application through custom StatsD metrics with Prometheus and Grafana.

April 11, 2025 - Visit http://localhost:5000 in your browser to view the dashboard. ... WORKDIR /app COPY . /appRUN pip install flask psutilEXPOSE 5000 CMD ["python", "app.py"] ... Once Dockerized, this app can be deployed to AWS EKS, Fargate, EC2, or any container ...

dashboard.config.init_from(file='/<path to file>/config.cfg') ... from flask import Flask import flask_monitoringdashboard as dashboard app = Flask(__name__) dashboard.config.init_from(file='/<path to file>/config.cfg') # Make sure that you first configure the dashboard, before binding it to ...

> from flask import Flask import flask_monitoringdashboard as dashboard > > app = Flask(__name__) dashboard.bind(app)

def get_user_id(): return '1234' # replace with a function to retrieve the id of the # user within a request. dashboard.config.get_group_by = get_session_id # Note that the function-pointer is passed, not the function itself. ... from flask import Flask import flask_monitoringdashboard as dashboard app = Flask(__name__) dashboard.config.init_from(file='/<path to file>/config.cfg') def get_user_id(): return '1234' # replace with a function to retrieve the id of the # user within a request.

If this value is not set, the profiler monitors continuously. ENABLE_LOGGING: Boolean if you want additional logs to be printed to the console. Default value is False. BRAND_NAME: The name displayed in the Dashboard Navbar. Default value is ‘Flask Monitoring Dashboard’.

This dashboard provides comprehensive monitoring of Flask web application performance, offering detailed visibility into request rates, response times, error tracking, and latency analysis.

from flask import Flask, Response import flask_monitoringdashboard as dashboard app = Flask(__name__) dashboard.config.init_from(file='/dashboardconfig/config.cfg') dashboard.bind(app) @app.route('/price/<path:url>/') def FetchPrice(url): if "xyz.com" in url: return Response("200.5$",status=200) else: return Response("Bad Request", status=400)

Automatically monitor the evolving performance of Flask/Python web services. - flask-dashboard/Flask-MonitoringDashboard

The New Relic Flask quickstart ... dashboards and alerts. The dashboards provide interactive visualizations to explore your data, understand context, and resolve problems faster....

November 20, 2021 - You can also build a custom metrics dashboard for your infrastructure · OpenTelemetry makes it very convenient to instrument your Flask application. You can then use an open-source APM tool like SigNoz to analyze the performance of your app. As SigNoz offers a full-stack observability tool, you don't have to use multiple tools for your monitoring ...

Automatically monitor the evolving performance of Flask/Python web services. - Flask-MonitoringDashboard/config.cfg at master · flask-dashboard/Flask-MonitoringDashboard

flask-dashboard/Flask-MonitoringDashboard, Flask Monitoring Dashboard A dashboard for automatic monitoring of Flask web-services. Key Features • How to use • Live Demo • Feedback • Documentatio