InfoQ Homepage Stories & Case Studies Content on InfoQ
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Painful Success - Lessons Learned while Scaling Up
Jesper Richter-Reichhelm shares lessons learned from failures while scaling Wooga games to millions of daily users.
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Scaling at Dropbox
Rajiv Eranki shares the pains and lessons learned scaling up Dropbox from a few thousands to tens of millions of users.
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The Lean Mindset: The Far Side of Paradox
Mary Poppendieck examines research and case studies to help understand what a lean mindset is and how it can help a company compete in today's fast moving marketplace.
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The Cable Company Does Continuous [delivery] WHAT?
Joe Campbell and Wally Eggert discuss the tools and approaches used to introduce Continuous Delivery at CIM without having any major disruptions to their existing delivery flow.
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Scaling Reddit from 1 Million to 1 Billion–Pitfalls and Lessons
Jeremy Edberg shares some of the lessons learned scaling Reddit, advising on pitfalls to avoid.
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Lessons Learned Building Storm
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
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Architecture of the Triposo Travel Guide
Jon Tirsen and Douwe Osinga tell Triposo’s story from a small hobby project to the large architecture of today. Triposo is a mobile phone travel guide.
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Trying out Kanban at Comcast
Trevor Lalish-Menagh shares his experience introducing Kanban, what has worked and what hasn’t.
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Inside Lanyrd's Architecture
Andrew Godwin tells Lanyrd’s story, covering the technology stack, tricks used, and what they would do differently if they could start afresh.
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Leapfrogging Online Payments & Burying Tech Debt
David Craelius tells the story of Klarna building an online payment system in Erlang and their approach to solving the nightmare of technical debt accumulated during a period of fast expansion.
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Lessons from Building and Scaling LinkedIn
Jay Kreps discusses the evolution of LinkedIn's architecture and lessons learned scaling from a monolithic application to a distributed set of services, from one database to distributed data stores.
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Can Technology Innovation Save The New York Times?
Marc Frons discusses the New York Times’ digital subscription model. Rajiv Pant shares their experiences transitioning to continuous delivery, and using NodeJS, Scala, cloud and big data.
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