Description: The log stream in distributed stream processing systems refers to a continuous set of data generated by applications or systems, used for real-time monitoring and analysis. This stream can include events, metrics, and logs that are crucial for understanding the behavior of distributed systems and applications. Unlike static data, log streams are dynamic and are generated constantly, allowing developers and analysts to react to changes and anomalies immediately. Stream processing systems enable the manipulation and analysis of this data in real-time, facilitating the creation of applications that can respond to events as they occur. The main characteristics of a log stream include its incessant nature, the ability to be processed in real-time, and the possibility of being stored for later analysis. This makes it an essential tool in the field of Big Data and advanced analytics, where speed and accuracy are fundamental for informed decision-making.
