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Write Your Own Compiler in 24 Hours
Phillip Trelford explains how compilers work with live code samples, primarily in F# and C#, covering language design and parsing, all-the-way through to emitting code.
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Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
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Swift - Under the Hood
Alex Blewitt introduces the history behind Swift, why it was created, how it differs from Objective-C and how Swift is compiled and executed under the covers.
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Efficient Data Storage for Analytics with Parquet 2.0
Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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Look, No Mocks! Functional TDD with F#
Mark Seemann uses F# to demonstrate how to use functional design with TDD to remove the need for Mock objects.
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Apps + Data + Cloud: What Does It All Mean?
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
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Scalable Microservices at Netflix. Challenges and Tools of the Trade
Sudhir Tonse discusses about the robust interprocess communications (IPC) framework that Netflix built (Ribbon).
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Scalability Lessons from eBay, Google, and Real-time Games
Randy Shoup tells war stories from Google and eBay focusing on how to scale code, infrastructure, performance, and operations, along with hard-won lessons learned in scaling them.
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Artistic Spring Data Neo4j 3.x with Spring Boot and Van Gogh
Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.
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Reactive Programming with Rx
Ben Christensen summarizes why the Rx programming model was chosen and demonstrates how it is applied to a variety of use cases.
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Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.