Hendelsesstrømmen

Hendelsesstrømmen, or event stream, refers to a sequence of discrete events that occur over time. Each event represents a significant change or occurrence within a system. These events are typically ordered chronologically and can be used to reconstruct the state of a system at any given point. The concept of an event stream is fundamental in many areas of computer science and data processing, including real-time analytics, logging, and distributed systems.

In essence, an event stream acts as a continuous log of everything that happens. This can include user interactions, system updates, sensor readings, or financial transactions. By capturing these events as they occur, systems can maintain an up-to-date record of their activity. This allows for powerful capabilities such as auditing, debugging, and the ability to reprocess historical data if needed.

The processing of event streams often involves technologies designed to handle high volumes of data with low latency. This can include message queues and stream processing platforms. These tools enable applications to react to events in real-time, making them ideal for scenarios where immediate action is required based on incoming data. The immutability of events in a stream is also a key characteristic, meaning once an event is recorded, it is not typically altered. This ensures data integrity and allows for reliable auditing.