Real-Time Streaming System

A Real-Time Streaming System is a distributed computing system that continuously processes real-time streaming events as they occur within real-time streaming latency constraints.

• AKA: Streaming System, Stream Processing System, Continuous Processing System.
• Context:
  • It can typically process Real-Time Streaming Event Flows through real-time streaming pipelines.
  • It can typically maintain Real-Time Streaming State across real-time streaming computations.
  • It can typically provide Real-Time Streaming Analytics through real-time streaming aggregations.
  • It can typically guarantee Real-Time Streaming Latency through real-time streaming optimizations.
  • It can typically handle Real-Time Streaming Fault Tolerance through real-time streaming checkpoints.
  • ...
  • It can often scale Real-Time Streaming Throughput through real-time streaming parallelization.
  • It can often support Real-Time Streaming Back-Pressure through real-time streaming flow control.
  • It can often enable Real-Time Streaming Exactly-Once Processing through real-time streaming transactions.
  • It can often provide Real-Time Streaming Monitoring through real-time streaming metrics.
  • ...
  • It can range from being a Simple Real-Time Streaming System to being a Complex Real-Time Streaming System, depending on its real-time streaming architectural complexity.
  • It can range from being a Single-Node Real-Time Streaming System to being a Distributed Real-Time Streaming System, depending on its real-time streaming deployment scale.
  • ...
  • It can integrate with Real-Time Streaming Data Sources through real-time streaming connectors.
  • It can connect to Real-Time Streaming Data Sinks for real-time streaming output delivery.
  • It can interface with Real-Time Streaming Schema Registrys for real-time streaming schema management.
  • It can communicate with Real-Time Streaming Monitoring Systems for real-time streaming observability.
  • ...
• Example(s):
  • Real-Time Streaming Platforms, such as:
    • Apache Kafka Real-Time Streaming System for real-time streaming message broker.
    • Apache Pulsar Real-Time Streaming System for real-time streaming multi-tenant platform.
    • Amazon Kinesis Real-Time Streaming System for real-time streaming cloud service.
  • Real-Time Streaming Processing Engines, such as:
    • Apache Flink Real-Time Streaming System for real-time streaming stateful computation.
    • Apache Storm Real-Time Streaming System for real-time streaming distributed processing.
    • Apache Spark Streaming Real-Time Streaming System for real-time streaming micro-batch processing.
  • Real-Time Streaming Frameworks, such as:
    • Kafka Streams Real-Time Streaming System for real-time streaming library-based processing.
    • Apache Beam Real-Time Streaming System for real-time streaming unified programming model.
  • ...
• Counter-Example(s):
  • Batch Processing System, which processes data batches at scheduled intervals rather than real-time streaming events.
  • Request-Response System, which handles synchronous requests rather than real-time streaming flows.
  • Message Queue System, which provides message delivery without real-time streaming guarantees.
• See: Streaming System, Event-Driven Architecture, Stream Processing, Real-Time Analytics.

---