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Reactive Summit 2016
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#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
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#9
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#10
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#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
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