Patterns for Streaming Telemetry with Akka Streams

Explore patterns for streaming telemetry using Akka Streams in this conference talk from Scala Days New York 2018. Learn about database actors, batching, message delivery, throttling requests, and error handling. Dive into Reactive Streams and the Akka Streams API, covering topics such as grouping, de-disaggregation, filtering, rate limiting, and concurrency. Discover how to handle periodic events and watch termination. The talk concludes with a recap, a discussion on actors, and practical implementation tips for streaming telemetry patterns.

Intro
Outline
Motivation
Database Actor
Batching
Message Delivery
Throttle Requests
Proof of Concept
Error Handling
Reactive Streams
Akka Streams API
Grouping
De disaggregation
Filtering
Rate Limiting
Throttle
Concurrency
Periodic Events
Watch Termination
Recap
What about Actors
How would I do that