A practical guide to data pipeline observability

Data pipeline observability is crucial for modern digital businesses, especially those using consumption-based models like New Relic, to ensure accurate billing and data quality. The article discusses the importance of setting specific goals, such as monitoring service level agreements and detecting anomalies, and emphasizes understanding the data's structure and volume for effective observability. It highlights starting with small, high-impact areas and leveraging tools like New Relic to implement observability practices. The use of custom metrics and events in New Relic allows for real-time monitoring and can provide quick wins by identifying macro-level deviations and aiding in capacity planning. Additionally, the article suggests using simple techniques, such as comparing sample data outputs to expected values, to verify pipeline functionality. Overall, the piece outlines a framework for improving data pipeline observability, offering practical tips and underscoring the role platforms like New Relic play in facilitating these practices.