InfoQ Homepage Performance Content on InfoQ
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Introduction to LeSS
Bas Vodde introduces Large-Scale Scrum (LeSS), a framework for scaling Scrum to medium to large projects while staying true to the original Scrum principles.
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Applying Theory of Constraints at Scale
The authors discuss scaling Agile by highlighting the constraints that a company needs to address given its particular context, an approach that adapts to context rather than ignoring it.
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Have Your Cake and Eat It Too -- Further Dispelling the Myths of the Lambda Architecture
Tyler Akidau from Google demonstrates Google's Millwheel, a streaming system that promises low latency, strong consistency, and flexibility without relying on Lambda Architecture.
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The Evolution of Continuous Delivery at Scale @ Linkedin
Jason Toy talks about the evolution and history of LinkedIn's release strategy.
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You Won't Believe How the Biggest Sites Build Scalable and Resilient Systems!
The authors discuss about the lessons learned from all the biggest sites on the internet about how to build scalable and resilient architectures.
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The Girl who Played with Paper
Lynne Cazaly explains how to apply visual maps, models, metaphors, templates and processes that help build buy-in, boost contributions and collaboration, and make communication a breeze within teams.
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Groovy in 2014 and beyond
Guillaume Laforge presents the latest Groovy 2.3 release with its new features and performance improvements: "traits", new markup-based template engine, new code transformations, and more.
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Functional Systems @ Twitter
Marius Eriksen explains Twitter's experiences with functional programming (with Scala) @ Twitter: where functional techniques worked and where not. Also: how the Scala language has scaled with Twitter
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Fastest Servlets in the West?
The authors demonstrate Apache Tomcat's stability under high load, describe some do's (and some don'ts!), explain how to performance test a Servlet-based application, etc.
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Deep Dive into Spring WebSockets
Sergi Almar reviews the architecture behind WebSocket and tries to show how to build highly scalable applications with it.
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1.5 Million Log Lines Per Second: Building and Maintaining Flume Flows at Conversant
Mike Keane presents how Conversant migrated to Flume, managing 1000 agents across 4 data centers, processing over 50B log lines per day with peak hourly averages of over 1.5 million log lines/sec.
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Caching and Messaging Improvements in Spring Framework 4.1
Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.
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