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Why Would You Integrate Solr and Hadoop?
Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.
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How DevOps and the Cloud Changed Google Engineering
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
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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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Implementing the Lambda Architecture with Spring XD
Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.
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Spring Boot and Netflix OSS
The authors present basic concepts about Spring Boot and Netflix OSS software and how to integrate Netflix OSS technologies into Spring Boot.
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Vagrant, Packer, Consul, Serf: Maximum Potency DevOps
Mitchell Hashimoto introduces Vagrant, Packer, Consul, Serf, explaining how they can help DevOps streamline the entire process from development through to production.
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Abusing CSharp 5
Jon Skeet entertains the audience with C# snippets that one should not use in real life.
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Developing Microservices for PaaS with Spring and Cloud Foundry
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
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Running Your Spring Apps in the Cloud
Cornelia Davis takes the Spring Trader application and makes (a few) modifications (mostly to config) to get it running on the same components in the cloud, specifically on the Cloud Foundry PaaS.
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Apache Spark Plus Many Other Frameworks: How Spark Fits into the Big Data Landscape
Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.
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Functional Principles for Object-Oriented Developers
Jessica Kerr explains through Java and C# code samples six principles of the functional programming style.
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Tuning Large Scale Java Platforms
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
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