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1
Intro
2
Outline
3
Motivation
4
Database Actor
5
Batching
6
Message Delivery
7
Throttle Requests
8
Proof of Concept
9
Error Handling
10
Reactive Streams
11
Akka Streams API
12
Grouping
13
De disaggregation
14
Filtering
15
Rate Limiting
16
Throttle
17
Concurrency
18
Periodic Events
19
Watch Termination
20
Recap
21
What about Actors
22
How would I do that
Description:
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.

Patterns for Streaming Telemetry with Akka Streams

Scala Days Conferences
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