Achieving end-to-end visibility for Python data pipelines is essential for ensuring quality and reliability in modern data architectures. This hands-on walkthrough from Elastic Observability Labs explains how to implement OpenTelemetry (OTEL) in your Python ETL scripts—covering automatic instrumentation, manual tracing, performance metrics, and anomaly-driven alerting—to proactively monitor, troubleshoot, and optimize your entire pipeline lifecycle using Elastic’s platform.

https://www.elastic.co/observability-labs/blog/monitor-your-python-data-pipelines-with-otel