Event Stream

An Event Stream is a data stream that consists of ordered sequences of event records representing state changes, actions, or occurrences within a system or application.

• AKA: Event Flow, Event Sequence, Event Pipeline.
• Context:
  • It can typically convey System Events through message formats.
  • It can typically maintain Event Ordering via timestamps.
  • It can typically support Event Subscription through publish-subscribe patterns.
  • It can typically enable Event Processing via stream processors.
  • It can typically preserve Event History through event logs.
  • ...
  • It can often categorize Event Types for selective processing.
  • It can often implement Event Filtering for relevant selection.
  • It can often provide Event Replay for reprocessing needs.
  • It can often support Event Aggregation for pattern detection.
  • ...
  • It can range from being a Simple Event Stream to being a Complex Event Stream, depending on its event complexity.
  • It can range from being a Homogeneous Event Stream to being a Heterogeneous Event Stream, depending on its event diversity.
  • ...
  • It can be implemented using Event Streaming Platforms for infrastructure support.
  • It can utilize Event-Driven Architecture for system design.
  • It can employ Message Brokers for event distribution.
  • ...
• Example(s):
  • System Event Streams, such as:
    • AI Agent Real-Time Event Stream for agent activity.
    • Application Event Stream for software monitoring.
    • Infrastructure Event Stream for system tracking.
  • Business Event Streams, such as:
    • Transaction Event Stream for financial processing.
    • Customer Event Stream for behavior tracking.
    • Order Event Stream for e-commerce systems.
  • Technical Event Streams, such as:
    • Click Event Stream for user analytics.
    • Sensor Event Stream for IoT applications.
    • Audit Event Stream for compliance tracking.
  • ...
• Counter-Example(s):
  • Static Log File, which stores historical events rather than streaming events.
  • Database Table, which maintains current state rather than event sequences.
  • Configuration File, which contains settings rather than event records.
• See: Event-Driven Architecture, Stream Processing, Message Queue, Event Sourcing.

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