Universal Profiling introduces the possibility to capture environmental impact. In this post, we compare Python and Go implementations and showcase the substantial CO2 savings achieved through code optimization.

Visual profiling data can be overwhelming. This blog post aims to demystify continuous profiling and guide you through its unique visualizations. We will equip you with the knowledge to derive quick, actionable insights from Universal Profiling™.

This is the first blog post in a series of ones to follow. We will use Elastic APM and Universal Profiling to solve performance problems that can occur when importing chess game data using a custom Python application.