InfoQ Homepage Performance & Scalability Content on InfoQ
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Scale at Facebook
Beside presenting the overall Facebook architecture and scaling solutions used, Aditya Agarwal talks about the iterative process of constantly improving the site, making sure to avoid over-engineering
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Facebook: Moving Fast at Scale
Robert Johnson talks about: the need to prepare for horizontal scalability, very short release cycles associated with a streamlined deploying process, and making the entire process faster every day.
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Project Voldemort: Scaling Simple Storage
Jay Kreps discusses the architecture, algorithms, implementation and deployment of Voldemort, a distributed storage system. He also presents the problems solved using Voldemort at LinkedIn.
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Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources
Adam Wiggins details how memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang apply the transient, shardable and share-nothing principles to achieve horizontal scalability.
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Open Source at Unibet.com - 10x Scalability at Half the Cost
Stefan Norberg presents Unibet.com’s architecture which uses XHTML 1.0, CSS 2.1, YUI, caching, compression, image spriting, and CDN striping for front-end plus multiple replicas for scaling out.
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Rails in the Large: How Agility Allows Us to Build One Of the World's Biggest Rails Apps
Neal Ford shows what ThoughtWorks learned from scaling Rails development: infrastructure, testing, messaging, optimization, performance.
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Rails 3
Yehuda Katz explains Rails 3: the performance improvements, the new architecture, the influence of Merb, and much more. Also: a look at the Bundler tool.
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Facebook’s Petabyte Scale Data Warehouse using Hive and Hadoop
Ashish Thusoo and Namit Jain explain how Facebook manages to deal with analysis of 12 TB of compressed new data everyday with Hive’s help, an open source data warehousing framework built on Hadoop.
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JRuby: You've Got Java in my Ruby
Tom Enebo explains reasons for choosing JRuby: Hotspot optimizations, JVM Garbage Collectors, tools like profilers. Also: how JRuby helps to write cleaner, more expressive code with Java libraries.
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A Crash Course in Modern Hardware
Cliff Click discusses the Von Neumann architecture, CISC vs RISC, Instruction-Level Parallelism, pipelining, out-of-order dispatch, cache misses, memory performance, and tips to improve performance.
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Failure: An Illustrated Guide
Avi Bryant explains the iterative process that led to the concept, implementation, and UI of Trendly (http://trendly.com/ ), using Smalltalk, Javascript, Ruby and Java in the process.
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Between the Battleship and the Failwhale
In this talk from FutureRuby, Paul Downman takes a look at scalability - what it is, how to achieve it and which tools and software to use.
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