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ManageEngine recognized in the 2025 Gartner® Magic Quadrant™ for Digital Experience Monitoring

Identify potential bottlenecks with real-time performance metrics

Track the four golden signals of monitoring — latency, throughput, error rates, and resource saturation — to understand your application's health at a glance. Monitor Apdex scores, average and percentile response times, error counts, and CPU or memory utilization so you can catch bottlenecks before they escalate into outages or degrade user experience.

Identify potential bottlenecks with relevant performance metrics

Pinpoint N+1 queries in Django, Flask, and FastAPI apps

Automatically detect N+1 database queries that silently multiply response times in popular ORMs like SQLAlchemy and Django ORM. Gain deep code-level visibility into each query execution, identify the exact lines of code triggering redundant calls, and eliminate the root causes of sluggish transactions across FastAPI, Flask, and Django before they impact user experience.

Pinpoint N+1 queries in Django and Flask apps

Get a complete view of application performance from frontend to backend

Combine APM Insight with Real User Monitoring (RUM) to see how your Python backend performance translates to real user experience. Compare page load metrics across geographies and time periods, capture front-end JavaScript errors, and correlate front-end latency with backend response times to diagnose issues that span your entire stack.

Combine APM Insight with RUM to elevate the end-user experience

Supported platforms

Django logo Django
Flask logo Flask
Gunicorn logo Gunicorn
uWSGI logo uWSGI
Gevent
CheryyPy CheryyPy
Waitress Waitress
PyMySQL PyMySQL
Psycopg2 Psycopg2
SQLite3 SQLite3
Memcached Memcached
Redis Redis
Jinja2 Jinja2
Cassandra Cassandra

Frequently asked questions

Python application monitoring refers to the continuous tracking of a Python application's performance metrics, errors, and overall health. It helps developers and IT teams identify bottlenecks, such as slow database queries, memory leaks, or unhandled exceptions, ensuring high availability and a seamless user experience.

Yes, Site24x7 offers out-of-the-box support for modern asynchronous Python frameworks including FastAPI, Starlette, and Tornado. It seamlessly tracks asynchronous operations without blocking the event loop, giving you full visibility into both sync and async code paths.

Absolutely. Site24x7 fully supports native OpenTelemetry Python instrumentation. You can configure your Python applications to generate vendor-agnostic traces and metrics using OpenTelemetry, and export them directly to Site24x7 for comprehensive distributed tracing and analysis.

Getting started takes just a few minutes. Install the APM Insight Python agent by running pip install apminsight, then launch your application using the apminsight-run command with your Site24x7 license key. The agent automatically instruments supported frameworks like Django, Flask, and FastAPI with no code changes required.

Yes. Site24x7's APM Insight agent monitors both web transactions and non-web background processes. You can track the performance of Celery task queues, scheduled jobs, and standalone Python scripts alongside your main application, giving you unified visibility across your entire Python workload.

The APM Insight Python agent is engineered for minimal overhead. Independent tests show an average response time impact of approximately 2-3%, ensuring that monitoring does not noticeably affect your application's performance or end-user experience, even under high transaction volumes.
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