The Simple Task of Metrics with Flask

Optimized for seamless integration and high performance, it’s drop-dead simple to monitor your Flask metrics.
Flask web app monitoring was a real struggle

Monitor Flask performance

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Simple setup

Simple setup

It’s effortless to collect Flask metrics with the AppOptics solution. To get started, simply enable the Python Agent and follow the short configuration instructions. The AppOptics integration for Flask hooks your app into a transparent, lightweight WSGI middleware component, making it simple to collect Flask metrics. Read documentation

Python service overview

Python service overview

Whether you’re troubleshooting Flask performance woes or just keeping an eye on things, the AppOptics intuitive Python service overview makes monitoring your app a breeze. Get insight into response times, request rate, and error rate at a glance. Drill down to get additional information about transactions, remote services, databases, and more.

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HTTP response codes by type

HTTP response codes by type

Want to know how many requests your app is handling? Want to keep an eye on HTTP responses? AppOptics has you covered. You can troubleshoot issues with response codes by examining client-side and server-side errors. For example, a large spike in 500 errors could mean a problem with your server application, whereas 404s could mean a problem with missing resources of out-of-date clients.

Error counts over time

Error counts over time

Tracking your error rate is critical when it comes to monitoring client experience. Increased error rates could indicate a problem with recent code deployment, databases, third-party services, and more. Typically, in a matter of minutes, track these and other metrics that are vital to the well-being of your Flask apps.

Easily quantify response time

Easily quantify response time

Monitor Flask performance including response time and request rates. Be the first to know with our dashboards and alerts, so you can proactively respond and help prevent missing SLAs or degraded user experience. Track your service’s response time on both the front end and back end. Distributed tracing follows the path of requests through your entire application, across RPC calls, through queues, and more.

Simple, powerful infrastructure and application monitoring

AppOptics

  • Optimize your server and infrastructure performance

  • Visualize and troubleshoot application bottlenecks

  • Analyze custom infrastructure, application, and business metrics

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Flask
definition
Flask is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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