eBook

Top 5 Python Metrics, Tips & Tricks

Gain the most out of your enterprise Python applications when it comes to maintaining an APM strategy throughout your frameworks.
eBook

Top 5 Python Metrics, Tips & Tricks

Gain the most out of your enterprise Python applications when it comes to maintaining an APM strategy throughout your frameworks.

Python’s open source ecosystem makes it one of the most widely appreciated tools for developers and business users alike. Implementing application performance management (APM) into your enterprise applications is a challenge that balances the quality of data, and the ability to diagnose the root cause of Python performance problems with minimum overhead required to capture that data. There are configuration options and tuning capabilities that you can employ to provide you with the information you need while minimizing the amount of overhead on your application. This article reviews a few core tips and tricks that anyone implementing an APM strategy should consider, including:

  • Business Transaction Optimization
  • Snapshot Tuning
  • Threshold Tuning
  • Tier Management
  • Capturing Contextual Information