How does Scala support high-throughput distributed log processing systems?

Scala processes distributed logs using Kafka pipelines, stream processors, and partitioned consumers.

Log processing systems ingest massive event streams using Kafka or Pulsar. Scala applications built with Akka Streams or Spark Streaming process logs in parallel using partitioned consumption. Backpressure ensures system stability. Logs are enriched, filtered, and aggregated before being stored in OLAP systems or search indexes like Elasticsearch.