In streaming-data systems, like applications that stream telemetry from industrial assets or IoT, people encounter problems related to flow control, memory management, and poor performance. The Akka Streams API addresses these issues and it naturally models the common patterns found with streaming telemetry, through simple, composable, and high-level constructs. This talk will provide a motivating example for using Akka Streams and demonstrate a number of these common patterns, in support of building reliable and resilient systems for streaming telemetry at scale.