Easily monitor the performance of your CherryPy application with the Scout APM library. Scout automatically monitors the performance of your controller-actions, records transaction traces, and instruments many Python libraries automatically.
Key CherryPy Monitoring Features
N+1 Query Detection
SQL Alchemy makes database ORM super easy. But it also makes it extremely easy for N+1 queries to slip into your code. Scout has you covered by detecting N+1 queries and even listing how much time you could save by fixing them.
Database Query Analysis
Do you know all of the queries your app is making to your database? With Scout, you do. Broken down and sortable by % Time Consumed, Throughput, Mean and 95% Query Time. Select a time period on our charts and we’ll show you which queries increased or decreased during that time compared to the overall duration.
Scout collects detailed traces of slow requests and, along with our GitHub integration, shows you the exact line of code responsible for the slow response time.
Compare performance data before and after deploys, know which branches were deployed and when.
Scout collects timing and performance metrics for every single transaction. In addition to those metrics, we collect detailed traces using a fine-tuned algorithm to select the most interesting transactions each minute.
Alert your team of capacity and performance issues by setting thresholds to alert on overall or endpoint specific metrics.
Receive daily or weekly digest emails summarizing how your apps are performing, along with highlights of outliers and endpoints which may need developer attention.
View your performance and error data in one place with our Rollbar, Sentry, Honeybadger, and Bugsnag integrations.
Attach any custom data for context to the requests tracked by Scout. Use our Trace Explorer to search and filter based on that data.
Gather performance metrics and insights into your own application’s code using our simple Custom Instrumentation methods.
Slice and dice the collected detailed traces by Controller-Action name, response time, your own Custom Context, and more. Find your slowest transaction from the last 7 days with just a few clicks.
One size does not fit all. Configure your own APDEX threshold per application.
Scout automatically measures the time the request takes from hitting your load balancer to when it actually gets to your app, indicating if requests are stacking up in the load balancer queue. If QueueTime goes up, it’s time to examine your request capacity.
- Performance details on every web endpoint and background job
- Detailed transaction traces with backtraces
- Enhanced database query monitoring
- Detects repeatedly expensive database queries
- Memory Bloat Detection
- Deploy Tracking
- Intelligent performance digest email
- Embed charts
- Integrates with GitHub, Sentry, Rollbar, Bugsnag, Zapier, and more.