Python Application Monitoring | Datadog
Python Application Monitoring image
Python Application Monitoring image

Python Application Monitoring

Python monitoring provides code-level visibility into the health and performance of your services, allowing you to quickly troubleshoot any issue—whether it's related to coroutines, asynchronous tasks, or runtime metrics. A Python monitoring solution can also continuously profile your code and seamlessly correlate profiles with all distributed request traces and other telemetry data for faster debugging and root cause analysis.

Python monitoring provides code-level visibility into the health and performance of your services, allowing you to quickly troubleshoot any issue—whether it's related to coroutines, asynchronous tasks, or runtime metrics. A Python monitoring solution can also continuously profile your code and seamlessly correlate profiles with all distributed request traces and other telemetry data for faster debugging and root cause analysis.


Deep insights into JVM Performance

Monitor distributed Python applications

  • Find and fix regressions by tracking and comparing hits, errors and latency of every deployed version of your Python services
  • Analyze concurrently executed Python asynchronous tasks and identify which code paths are slow or producing errors
  • Effectively prioritize investigation of Python application errors and their stack traces by automatically grouping them into issues

Support for all common Python frameworks

django logo
Pytest logo
Flask logo
Falcon logo
Pyramid logo
Sanic logo
Bottle logo
Molten logo
Celery logo
Starlette logo
FastAPI logo
Pylons logo
Jinja logo
Aio Http logo
pyMongo logo
Tornado logo
CherryPy logo
Psycopg logo

Optimize your code with Python monitoring

  • Capture profiles from every Python service to reduce time spent on parked threads, garbage collection, and context switches
  • Detect CPU, memory, and lock inefficiencies in your Python code—without the high overhead of running cProfile
  • Improve the performance of your Python methods by comparing code profiles across versions and instances
Deep insights into JVM Performance

リソース

products/apm/tracing_python_applications_thumbnail

official docs

Tracing Python Applications

/blog/tracing-async-python-code/trace-async-python-hero

BLOG

Tracing asynchronous Python code with Datadog APM

/blog/python-logging-best-practices/pythonlogging_guide_final-01

BLOG

How to collect, customize, and centralize Python logs

/blog/instrument-python-apps-with-datadog-and-opentelemetry/opentelemetry-python-tracing-hero

BLOG

Instrument your Python applications with Datadog and OpenTelemetry

Python performance insights with 
minimal engineering effort

With automatic code instrumentation, machine learning-based alerts, out-of-the-box dashboards, and seamless correlation of telemetry data, Datadog helps you quickly start monitoring Python applications and reducing your compute costs.

Python monitoring insights with minimal engineering effort

Optimize your Python application

Set up Python monitoring in minutes with a free 14-day Datadog trial.