Real-time data processing is becoming standard for modern applications. This question explores architectures using Kafka, Flink, Spark Streaming, and emerging technologies.

Contributors can discuss exactly-once semantics, state management, and scaling patterns. Share real-world latency expectations, failure handling, and monitoring strategies.

What's the best stack for different latency requirements? How do you balance cost, complexity, and performance? What's replacing traditional batch processing?