We’ve picked CherryPy metrics so you don’t have to

Optimized for seamless integration and high performance, it’s drop-dead simple to monitor your CherryPy metrics.
CherryPy web app monitoring doesn’t have to be a struggle

CherryPy performance monitoring

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Simple setup

Simple setup

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

Python service overview

Python service overview

We’ve picked CherryPy metrics so you don’t have to.

Whether you’re troubleshooting 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errors could mean a problem with your server application, whereas 404s could mean a problem with missing resources of out-of-date clients.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 the recent code deployment, databases, third-party services, and more. In a matter of minutes, track these and other metrics that are vital to the well-being of your CherryPy apps.

Easily quantify response time

Easily quantify response time

Monitor CherryPy performance including response time and request rates. Be the first to know with our dashboards and alerts so you can proactively respond and 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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CherryPy
definition
CherryPy is an object-oriented web application framework using the Python programming language. It can be a web server itself or one can launch it via any WSGI-compatible environment.
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