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Reactive Summit 2016

#1

bla bla microservices bla bla: Director’s Cut

#2

A Journey to Modern Apps with Containers and Microservices

#3

Registration and Breakfast

#4

Reactive Distributed Systems for Streaming Big Data, Analytics & ML

#5

Reactive Kafka with Akka Streams

#6

Scala and the JVM as a Big Data Platform - Lessons from Apache Spark

#7

Staging reactive data pipelines using Kafka as the backbone

#8

Lunch

#9

Break

#10

Coffee

#11

Reliability at Scale: Processing the Twitter Firehose

#12

Reactive Polyglot Microservices with OpenShift and Vert.x

#13

Welcome Reception - Sponsor Booth Crawl

#14

Robust Stream Processing with Apache Flink

#15

Microservices: The danger of overhype and importance of checklists

#16

Reactive Stream processing at Netflix

#17

Riding the Jet Streams

#18

Functional (and Reactive) Operations

#19

Reacting to the Movies: Reactive systems and the lessons of narrative

#20

Back-Pressure in Action: Handling High-Burst Workloads with Akka Streams & Kafka @PayPal

#21

Orchestrated Chaos: Applying Failure Testing Research at Scale.

#22

Distributed stream processing with Apache Kafka

#23

Monolith to reactive - it's all about architecture

#24

Registration and Breakfast

#25

Embracing Streams…Everywhere

#26

Break

#27

Lunch

#28

Monolith to reactive microservices

#29

Reactive Integrations with Akka Streams that Just Work!

#30

Stream Processing with Apache Flink in Zalando's World of Microservices

#31

Architecting with the Functional Paradigm for High-Performance Enterprise Applications

#32

Coffee

#33

Schema upgrades in a continuous delivery environment

#34

Netty - One Framework to rule them all

#35

Implementing an akka-streams materializer for big data

#36

The Demo Gods are (not) on our side!

#37

The Zen Of Erlang