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1
Intro
2
Aakka
3
PARTI A MOTIVATING EXAMPLE
4
ERROR HANDLING
5
REACTIVE STREAMS
6
AKKA STREAMS API
7
PATTERNS FOR STREAMING TELEMETRY
8
GROUPING
9
DISAGGREGATION
10
FILTERING
11
RATE LIMITING REQUESTS
12
CONCURRENCY
13
IDLE TIMEOUTS
14
PERIODIC EVENTS
15
WATCHING TERMINATION
16
PROOF OF CONCEPT
17
WHAT ABOUT ACTORS?
18
QUESTIONS?
Description:
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.

Patterns for Streaming Telemetry with Akka Streams

Scala Days Conferences
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