Python Application Performance Monitoring
Monitor and optimize the performance of your Python application with the OpManager Nexus APM Insight Python agent. The agent provides you with information on the response time, throughput, database operations, and errors of your application. Keep track of these metrics over time to identify where they can be improved for better performance.
Specifications
Make sure you have a OpManager Nexus account before you use an APM Insight agent to monitor metrics.
Requirements: Python version 3.7 and above
Supported frameworks: Bottle, CherryPy, Django, Flask, Pyramid, FastAPI, Starlette, Tornado, and Streamlit
Supported databases and components: PyMySQL, Psycopg2, Pymemcache, Redis, SQLite, Cassandra, Jinja2, Genshi, Mako, PyMongo, PyMssql, PyODBC, OracleDB, and cx_Oracle
Supported HTTP libraries: http.client, httplib2, httpx, urllib, urllib3 and requests
Supported async libraries: aioredis, aredis, asyncpg, aiomysql
Agent Setup
Looking for a simpler setup? Try AutoProfiler in FSO for automatic Python application monitoring.
- Install Python Agent via PyPI
- Upgrade Python Agent
- Uninstall Python Agent
- Install Python agent in a Docker container
- Release Notes
The Data Exporter is an independent process that communicates application metrics and traces to the OpManager Nexus server.
You can custom instrument methods, classes, and frameworks.
Support for Kubernetes container
Support for Docker container
Agent Performance
APM Insight Python Agent is optimized for minimal impact on the application. Read on to understand about the resource utilization of Python Agent.