Create custom metrics in Python Application using OpenTelemetry

✅Info This article is part of the OpenTelemetry Python series : Previous Article: Create Manual Spans in Python application using OpenTelemetry You are here: Create custom metrics in Python Application using OpenTelemetry Next Article: Configure OpenTelemetry logging SDK in a Python application Check out the complete series at: Overview - Implementing OpenTelemetry in Python applications In the previous tutorial , we learned how to create spans in a Python application manually. In this tutorial, we will look at how to create custom metrics using OpenTelemetry . Custom metrics are useful to gain insights that are specific to your application's performance and behavior. Types of metrics in OpenTelemetry There are four types of metrics that can be produced using OpenTelemetry: Counter: A counter is a cumulative metric that represents a single monotonically increasing counter whose value can only increase or be reset to zero on restart. For example, you can use a counter to represent the n