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Performance and How to Measure It
Matt Warren takes a look at how to measure, what to measure and how get the best performance from .NET code, considering examples from the Roslyn codebase and StackOverflow (the product).
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The Netflix API Platform for Server-Side Scripting
Katharina Probst talks about the situations in which server-side scripting is a good solution for applications. She describes Netflix’s first approach, which uses Groovy scripts.
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Image Processing for iOS
Simon Gladman overviews some of the image processing techniques available to iOS developers and three frameworks offered by Apple: Core Image, Accelerate/vImage and Metal.
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Vowpal Wabbit, A Machine Learning System
John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.
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Introducing Apache Ignite
Christos Erotocritou introduces Apache Ignite, discussing how it is used to solve some of the most demanding scalability and performance challenges. He covers typical use cases and examples.
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How Will Persistent Memory Change Software Design?
Maciej Maciejewski discusses persistent memory, storage devices, and DRAM, accessing persistent memory with ACPI 6.0 extensions, existing support in the Linux kernel and the NVM library.
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Being Meta
Jevgenij Nekrasov discusses doing meta-programming in .NET, including writing a custom DSL.
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Predicting the Future: Surprising Revelations trom Truly Big Data
Pushpraj Shukla discusses how Microsoft Bing predicts the future based on aggregate human behavior using one of the largest scale data sets, and recent progress in large scale deep learnt models.
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Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year
Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.
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Integrating Different IDEs with a Common Set of Developer Services
David Staheli discusses approaches Microsoft is taking to plugin development, sharing experiences in reusing code across plugins for different IDEs, with demos of plugins in Eclipse, IntelliJ, and VS.
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The State of Docker and Vagrant Tooling in Eclipse
Roland Grunberg and Jeff Johnston present the current status and future plans for Eclipse Docker Tooling, including some demos.
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Streaming Auto-scaling in Google Cloud Dataflow
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
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