Data pipeline observability involves using machine learning to monitor the metadata of pipelines to for anomalies in data freshness, volume, and schema. It is also a good idea to monitor the quality of the data flowing through the pipeline in addition to monitoring the system's behavior. A pipeline will consist of multiple tools across the data lifecycle and integrations are a core component of data pipeline observability.