Spark Streaming allows processing of live data streams at scale. Recent improvements include: 1) Enhanced fault tolerance through a write-ahead log and replay of unprocessed data on failure. 2) Dynamic backpressure to automatically adjust ingestion rates and ensure stability. 3) Visualization tools for debugging and monitoring streaming jobs. 4) Support for streaming machine learning algorithms and integration with other Spark components.