InfoQ Homepage Case Study Content on InfoQ
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Spotify Lessons: Learning to Let Go of Machines
James Wen tells the story of how Spotify’s infrastructure evolved and how this evolution changed the way that Spotify developers write code and the vast increase in iteration and shipping speed.
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It Will Break
Leonid Movsesyan talks about the inevitability of a failure and the ways how engineers can design their systems to be able to tolerate them.
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Scalable Chatbot Architecture with eBay ShopBot
Robert Enyedi discusses the ebay ShopBot, a personal shopping assistant available as a Facebook Messenger bot.
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Go Mobile in Africa and Monetize to 116M Customers Thanks to APIs
Aurélien Duval Delort presents Orange’s mobile APIs available in Africa.
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Pony: How I learned to stop worrying and embrace an unproven technology
Sean T. Allen talks about his experiences using Pony to build Wallaroo, a high-performance, low-latency stream processing engine.
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From Customer Self Service Portals to Web APIs
Florian Marquardt presents how Regiocom has created and uses web APIs to serve the energy market in several countries.
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What Does Speed Mean in Software Product Delivery?
Jason Yip explores the way of thinking about "high velocity" and gives specific examples of concepts and practices to try from his experiences at ThoughtWorks and Spotify.
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Avoiding React Performance Pitfalls
Alex Grigoryan discusses the performance problems found and their solutions moving from Backbone/Java to React/Node.js at @WalmartLabs.
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IoT for Big Machines
Jayant Thomas discusses Predix, GE’s IoT Cloud, and how one can use anomaly detection on an IoT cloud and scale it up for multiple industrial assets to provide insights about the big machines.
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Migrating Speedment to Java 9
Dan Lawesson talks about his experience migrating Speedment to Java 9.
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Managing Thousands of Data Services @Heroku
Gabriel Enslein discusses the evolution of fleet orchestration, immutable infrastructure, security auditing for managing data services for many Salesforce customers.
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Large Scale Machine Learning for Payment Fraud Prevention
Venkatesh Ramanathan presents how advanced machine learning algorithms such as Deep Learning and Gradient Boosting are applied at PayPal for fraud prevention.
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