Patterns for Streaming Telemetry with Akka Streams

Explore patterns for streaming telemetry with Akka Streams in this 44-minute conference talk from Scala Days Berlin 2018. Dive into a motivating example, error handling, and Reactive Streams before delving into the Akka Streams API. Learn essential patterns for streaming telemetry, including grouping, disaggregation, filtering, rate limiting requests, concurrency, idle timeouts, periodic events, and watching termination. Gain insights into a proof of concept and consider the role of actors in this context. Enhance your understanding of streaming telemetry techniques and their implementation using Akka Streams in Scala.

Intro
Aakka
PARTI A MOTIVATING EXAMPLE
ERROR HANDLING
REACTIVE STREAMS
AKKA STREAMS API
PATTERNS FOR STREAMING TELEMETRY
GROUPING
DISAGGREGATION
FILTERING
RATE LIMITING REQUESTS
CONCURRENCY
IDLE TIMEOUTS
PERIODIC EVENTS
WATCHING TERMINATION
PROOF OF CONCEPT
WHAT ABOUT ACTORS?
QUESTIONS?