InfoQ Homepage QCon London 2019 Content on InfoQ
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Intuition & Use-Cases of Embeddings in NLP & beyond
Jay Alammar talks about the concept of word embeddings, how they're created, and looks at examples of how these concepts can be carried over to solve problems.
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What We Got Wrong: Lessons from the Birth of Microservices
Ben Sigelman talks about what Google got wrong about microservices, the lessons learned along the way and how to apply those lessons today.
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How to Prevent Catastrophic Failure in Production ML Systems
Martin Goodson describes the unpredictable nature of artificial intelligence systems and how mastering a handful of engineering principles can mitigate the risk of failure.
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Unikernels Aren’t Dead, They’re Just Not Containers
Per Buer looks in depth at one of the IncludeOS applications they have built, how they built it and how it has worked out in production.
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Life beyond Java 8
Trisha Gee talks about Java 8, wondering whether we should move to a later version, which one to choose, and how painful it might be to upgrade.
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The Evolving Practice of Security
Michael Brunton-Spall talks about practices that are evolving in the security space, and how developers and security can collaborate more with new and modern practices.
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Otherworldly Java: Gateway to the Moon and beyond
Diane Craig demonstrates the art of the possible when using modern Java toolkits to build high quality, high performance applications for Science and Aerospace industries.
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Life of a Packet through Istio
Matt Turner talks about Istio - a service mesh for Kubernetes that offers advanced networking features. He gives insight into Istio’s full power, and its architecture.
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Graal: Not Just a New JIT for the JVM
Duncan MacGregor takes a look at the differences between C2 and Graal, what this can mean for the performance of a code, and what else is possible with this new JIT.
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BBC iPlayer: Architecting for TV
David Buckhurst talks about BBC iPlayer and explores the challenges of TV application development. He touches on the next steps for iPlayer as they blur the lines between broadcast and IP television.
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Test-Driven Machine Learning
Detlef Nauck explains why the testing of data is essential, as it not only drives the machine learning phase itself, but it is paramount for producing reliable predictions after deployment.
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Airbnb’s Great Migration: Building Services at Scale
Jessica Tai recaps her QCon SF 2018 “Great Migration” presentation then continues the story with a focus on how Airbnb is building, operating, and scaling its expanding network of services.
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