InfoQ Homepage Presentations
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Advanced Front-end Debugging
Panos Astithas presents some of the debugging, profiling and tracing tools available to web developers today.
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Growing from the Few to the Many: Scaling the Operations Organization at Facebook
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
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From Code to Monkeys: Continuous Delivery at Netflix
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
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Claims Based Authentication
Justin Kobel introduces claims-based authentication, what are claims, their life cycle, explaining how to consume them in .NET through a number of demoes.
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7 Deadly Sins of Automated Software Testing
Adrian Smith covers symptoms, root problems and guidance on recommended solutions for avoiding automated testing mistakes.
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How Lean Thinking Helps Hospitals
Mark Graban overviews the Lean methodology applied in healthcare using examples and lessons learned from leading hospitals around the world.
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R for Big Data
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
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Ratpack - Micro Web Apps for Groovy
Luke Daley introduces Ratpack, a micro web framework inspired by Ruby's Sinatra, built on Netty, Guice and Guava.
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Complex Architectures in Ember
Matthew Beale explains how messages are passed between views, controllers and routes in Ember.js.
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Securing Grails Applications
Burt Beckwith discusses the security risks web applications may face (XSS, CRSF, SQL injection) and the libraries and plugins that developers can use to secure their Grails applications.
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Search for the Holy Grail (and test it once found)
Baruch Sadogursky overviews and compares search and testing tools available to Grails developers.
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Real-World Datomic: An Experience Report
Craig Andera explains Datomic from the perspective gained in implementing and optimizing a real-world production system, detailing the Datomic indexing process.
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