Description: Pipeline monitoring refers to the process of tracking the performance and health of a data pipeline in real-time. This process is crucial to ensure that data processing applications run efficiently and without interruptions. Through monitoring, developers can identify bottlenecks, errors, and other issues that may affect data quality or processing speed. Various data processing frameworks provide built-in tools that allow users to visualize key metrics such as processing time, latency, and resource usage. These metrics help teams make informed decisions about optimizing their pipelines, ensuring that data flows are managed effectively. Additionally, monitoring enables the implementation of automated alerts that notify administrators of any anomalies, facilitating a quick response to potential issues. In summary, pipeline monitoring is an essential component for maintaining the integrity and performance of data processing applications.
