👉 Metering in computing, particularly within the context of data science and machine learning, is a method for quantifying the usage or performance of software systems by measuring specific metrics over time. These metrics can include the number of requests processed, transactions completed, or even the amount of data handled. By defining these metrics, developers and engineers can establish baselines and thresholds to monitor system performance, identify bottlenecks, and ensure that applications are operating efficiently. For instance, a web application might track the number of requests per second to gauge its load capacity and prevent server overloads. Similarly, in machine learning, metrics like training time, accuracy, or resource consumption can be used to optimize model performance and resource allocation. This systematic measurement allows for data-driven decisions, enabling continuous improvement and better system management.
meters computing