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Stream Processing at Scale with Spring XD and Kafka
Marius Bogoevici demoes how to unleash the power of Kafka with Spring XD, by building a highly scalable data pipeline with RxJava and Kafka, using Spring XD as a platform.
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How Netflix Directs 1/3rd of Internet Traffic
Haley Tucker and Mohit Vora discuss the architecture at Netflix that makes streaming happen, while highlighting interesting lessons and design patterns that can be widely applied.
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Stream Processing in Uber
Danny Yuan discusses how Uber uses stream processing to solve a wide range of problems, including real-time aggregation and prediction on geospatial time series, and much more.
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Modern Fast Streaming Data
Todd Montgomery challenges some of the common myths and misconceptions about high performance streaming data, and takes a look at what is really possible today.
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Akka Streams: Streaming Data Transformation à la Carte
Viktor Klang explores fast data streaming using Akka Streams - how to design robust transformation pipelines with built-in flow control able to take advantage of multicore and go over networks.
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Pulsar: Real-time Analytics at Scale
Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.
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Reactive Programming at Cloud-Scale and Beyond
Bart de Smet discusses how the reactive programming paradigm can be used for event stream processing and how it can be applied from small devices all the way to cloud-scale infrastructures.
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Reactive Stream Processing at Netflix
Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.
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The Many Faces of Apache Kafka: How is Kafka Used in Practice
Neha Narkhede discusses how companies are using Apache Kafka and where it fits in the Big Data ecosystem.
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Applications of Enterprise Integration Patterns to Near Real-Time Radar Data Processing
Garrett Wampole describes an experimental methodology of applying Enterprise Integration Patterns to the near real-time processing of surveillance radar data, developed by MITRE.
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time
Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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