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1
Introduction
2
Message driven systems
3
Akka
4
Actor
5
Hierarchy
6
Core Actor
7
Classic Actor
8
Why Typesafe
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Typesafe Example
10
Protocol
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Behavior
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Enable Alarm
13
Actor System
14
Types vs Untyped Actors
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Local to Distributed
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Receptionist
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Streams
18
Source Ref
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Stream Processing Pipeline
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Documentation
21
Questions
22
Reactive Streams
23
Redelivery
24
Closure
25
IBM
26
Scala vs Reactive
27
Runtime Weaving
28
Type Hierarchy
29
Protocols
30
Poison Pill
31
Stateful machines
32
Scholar tool
Description:
Explore Akka's new Typed Actor APIs and over-the-network Akka Streams in this 47-minute Devoxx conference talk. Dive deep into how Akka marries Types with Networks while maintaining its Erlang-inspired "let it crash" approach to building Reactive Systems. Investigate trade-offs, failure scenarios, and healing mechanisms in cloud-native systems. Learn about message-driven systems, actor hierarchy, core actors, classic actors, and the benefits of type safety. Examine local to distributed transitions, receptionists, stream processing pipelines, and Reactive Streams. Discuss redelivery, closure, runtime weaving, type hierarchy, protocols, and stateful machines. Gain insights into Scala vs. Reactive approaches and the future of Akka for building resilient, self-healing distributed systems.

Networks and Types - The Future of Akka

Devoxx
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