Python Performance Monitoring
Get deep performance insights for your Django, Flask, and FastAPI applications. Scout's Python agent automatically instruments your code with minimal overhead.
Memory Insights
Solve memory bloat and N+1 queries in Python
Scout's Performance Monitoring (APM) tool pinpoints and prioritizes performance and stability issues in Python, such as N+1 database queries and memory bloat. With Scout's tracing logic, developers can detect the exact line of code causing the performance abnormality, and with detailed backtraces, you can debug the issue before customers ever notice.
Query Monitoring
Leverage Database Query Monitoring for Python apps
Scout's database query monitoring feature helps you identify slow and repeatedly expensive database queries within your Python application. The database feature specifically collects metrics around the database and concisely visualizes only the relevant insights you need to understand how your database performs in relation to your app.
Custom Context
Track user-specific issues with custom context for Python
Custom context delivers greater understanding into how and which customer(s) were impacted by a specific query and which developer wrote the code. Establishing custom context enables you to define different values to better understand why a particular query was slow.
Instantly report key Python performance metrics with details on every web endpoint and background job
- Response Time
- Throughput
- Web Transactions
- Error Rate
- Deploy Tracking
- Memory Usage
- Detailed Tracing
- Slow Query Insights
Get Started in Minutes
Add Scout to Your Python App
Get started in under 3 minutes with our easy to install Python agent.
Install the package:
pip install scout-apmConfigure in your settings (Django: add to INSTALLED_APPS; Flask/FastAPI: use middleware).
Deploy and see data in 5 minutes.
FAQ
Python Monitoring FAQ
What kind of integrations does Scout support?
Scout supports integrations with PagerDuty, Rollbar, Sentry, Zapier, Github, plus others. Click here for a comprehensive list of our integrations.
What's Scout overhead like?
Scout's performance monitoring agent uses just a portion of the resources of existing app monitoring agents while providing higher-fidelity trace details.
What is the Scout Monitoring installation process like?
You can start collecting insights in just 3 easy steps. Simply install your Python framework's package, set a configuration key, and deploy.
What kind of alerting options do I get with Scout Monitoring?
Scout provides alerting options such as Github, Slack, weekly digest emails and more. For a full list visit our alerting options, visit this section of our docs page.
Is it safe to run Scout alongside my current APM library?
Yes