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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!
Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.
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Taking the Pain out of Real-time Mobile Back-end Development
Mandy Waite shows how to get started with Firebase before walking through a live demo of building a multi-user, collaborative mobile app that provides real-time updates to its users.
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Operating Microservices
Michael Brunton-Spall shows how DevOps-like patterns can be applied on microservices to give the development teams more responsibility for their choices, and much more.
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No Free Lunch, Indeed: Three Years of Microservices at SoundCloud
Phil Calcado shares the toolkit and strategy SoundCloud uses to keep its microservices explosion manageable, dealing with operations overhead, DevOps, breaking changes and asynchronous behaviors.
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Protocols of Interaction: Best Current Practices
Todd Montgomery describes some common problems that have arisen in protocol design, using examples such as HTTP/2, Aeron, etc., and how the solutions can be applied to microservices.
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Designing Secure Services with Unikernels: a Tough Nut to Crack
Anil Madhavapeddy describes how to design and build "deploy-and-forget" cloud services that are specialized into unikernels, single-address space virtual machines.
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Engineering for Scale at VMTurbo
Sylvia Isler presents a microservices case study and lessons learnt - how VMTurbo took the plunge to evolve its monolithic system architecture into a system based on composable microservices.
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Java 8 in Anger
Trisha Gee uses Java 8 streams and lambdas to build an app consuming a real-time feed of high velocity data, using services to make sense of the data, and presenting it in a JavaFX dashboard.
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Microservices: Software that Fits in Your Head
Dan North describes a model for thinking about the age of code and argues for replaceability as a first class concern, ending up with something that looks a lot like microservices.
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Java for Low Latency - You’ve Got to Be Joking!
John Davies walks through and demonstrates how to reduce latency while increasing throughput in applications, with demos using Java 8 and lambdas.
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Microservices Are (Conceptually) Too Big
Philip Wills believes that thinking about independent services and single responsibility applications rather than microservices can help to clarify the architectural complexity trade-offs.
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Reactive Android
Benjamin Augustin takes the practical approach of a complex API to explain how RxJava and Functional Reactive Programming (FRP) can be used on every project to make one's life easier.
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