InfoQ Homepage Performance Content on InfoQ
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You Can Improve Scalability over 10 Years
Marton Anka shares lessons learned and technical details scaling LogMeIn over a decade.
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Resiliency through Failure - Netflix's Approach to Extreme Availability in the Cloud
Ariel Tseitlin discusses Netflix' failure-based suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment.
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Building Modern Web Sites: A Story of Scalability and Availability
Sid Anand uses examples from LinkedIn, Netflix, and eBay to discuss some common causes of outages and scaling issues. He also discusses modern practices in availability and scaling in web sites today.
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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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HTTP Performance Is a Solved Problem
Poul-Henning Kamp details some of the current HTTP performance issues that wait to be solved in the future.
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Design, Composition and Performance
Rich Hickey explores the nature of design and composition and how it impacts the software development practice and tools.
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Keynote: Why Open Source and the Destruction of Jurisdiction Makes Scalability Possible
Theo Schlossnagle keynotes on the role of open source software and the breaking up of silos in the enterprise in creating scalable systems.
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Robust Software - Dotting the I's and Crossing the T's
Chris Oldwood discusses what it takes to create robust software: correct error detection and recovery, testing systemic effects, app monitoring and configuration.
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Code Execution as Data
Zach Tellman discusses instrumenting and analyzing running systems using real world examples from Factual's production systems.
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Leveraging Your Hadoop Cluster Better - Running Performant Code at Scale
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
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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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