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Reactive Summit 2016

#1

bla bla microservices bla bla: Director’s Cut

#2

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

#3

A Journey to Modern Apps with Containers and Microservices

#4

Orchestrated Chaos: Applying Failure Testing Research at Scale.

#5

Distributed stream processing with Apache Kafka

#6

Registration and Breakfast

#7

Reactive Distributed Systems for Streaming Big Data, Analytics & ML

#8

Reactive Kafka with Akka Streams

#9

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

#10

Staging reactive data pipelines using Kafka as the backbone

#11

Monolith to reactive - it's all about architecture

#12

Lunch

#13

Break

#14

Registration and Breakfast

#15

Embracing Streams…Everywhere

#16

Coffee

#17

Break

#18

Lunch

#19

Monolith to reactive microservices

#20

Reactive Integrations with Akka Streams that Just Work!

#21

Reliability at Scale: Processing the Twitter Firehose

#22

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

#23

Reactive Polyglot Microservices with OpenShift and Vert.x

#24

Welcome Reception - Sponsor Booth Crawl

#25

Robust Stream Processing with Apache Flink

#26

Architecting with the Functional Paradigm for High-Performance Enterprise Applications

#27

Coffee

#28

Microservices: The danger of overhype and importance of checklists

#29

Reactive Stream processing at Netflix

#30

Riding the Jet Streams

#31

Functional (and Reactive) Operations

#32

Schema upgrades in a continuous delivery environment

#33

Netty - One Framework to rule them all

#34

Implementing an akka-streams materializer for big data

#35

The Demo Gods are (not) on our side!

#36

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

#37

The Zen Of Erlang