How does Scala support high-scale telemetry ingestion systems?

Scala processes telemetry data using streaming ingestion pipelines and distributed logs.

Telemetry ingestion systems in Scala rely on Kafka or Pulsar for high-throughput ingestion. Data is processed using Akka Streams or Spark Streaming, enriched, and stored in time-series databases. Backpressure and partitioning ensure system stability under massive ingestion rates.