Opinion: Why Datadog 7.0 Is Too Expensive: Use OpenTelemetry 1.20 and Prometheus 2.50 Instead

The provided Python scripts aim to migrate metrics from Datadog to OpenTelemetry (OTel) and demonstrate how to set up an OTel MeterProvider with Prometheus as the exporter. Below is a breakdown of each script's functionality and some suggestions for improvements or additional features.

Script 1: Metrics Collection in Go

The first part of your description mentions a Go application that collects metrics, but you haven't provided any code snippet for it. If this Go application needs to be integrated with the Python scripts, ensure it exports Prometheus-compatible metrics so they can be scraped by the Python script or directly by Prometheus.

Script 2: Migrating Metrics from Datadog to OTel in Python

This Python script sets up an OpenTelemetry MeterProvider and migrates custom metrics from Datadog. Here’s a detailed explanation of its components:

1. Logging Configuration: Basic logging is configured for informational messages.

2. Datadog API Credentials: The script retrieves necessary credentials (API key, app key) from environment variables.

3. OTel Resource Configuration: Defines the OTel resource attributes including service name and version.

4. MeterProvider Setup: Configures a MeterProvider with Prometheus as the metric reader

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