Description: Dataflow metrics are data points that provide information about the performance of data processing jobs on cloud computing platforms. These metrics allow developers and administrators to monitor and optimize the performance of their data processing applications in real-time. They include information about resource usage, such as CPU and memory, as well as statistics on latency and throughput of processed data. Metrics are essential for identifying bottlenecks in processing, evaluating the efficiency of implemented algorithms, and ensuring that jobs run within established time and cost parameters. Additionally, dataflow metrics can be integrated with monitoring and visualization tools, making it easier to create custom dashboards that allow for continuous tracking of job status. In an environment where data is generated and processed at high speed, having accurate and real-time metrics is crucial for informed decision-making and continuous improvement of data analysis processes.
