InfoQ Homepage Performance Content on InfoQ
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Timelines at Scale
Raffi Krikorian explains the architecture used by Twitter to deal with thousands of events per sec - tweets, social graph mutations, and direct messages-.
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Lock-Free Algorithms For Ultimate Performance
Martin Thompson discusses the need to measure what’s going on at the hardware level in order to be able to create high performing lock-free algorithms.
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(un)Common Sense
Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.
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Performance Testing Java Applications
Martin Thompson explores performance testing, how to avoid the common pitfalls, how to profile when the results cause your team to pull a funny face, and what you can do about that funny face.
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High Performance Messaging for Web-Based Trading Systems
Frank Greco investigates WebSocket and how trading systems can be designed to leverage it for reliability, security and performance for desktop, mobile, datacenter and cloud environments.
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Virtualizing and Tuning Large Scale Java Applications
Emad Benjamin explains how to deploy and tune a JVM on a virtual infrastructure (vSphere), and how to tune the garbage collector in this environment.
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Scaling Pinterest
Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.
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Web Framework Performance - Examples from Django and Rails
Gareth Rushgrove overviews Ruby on Rails and Django: object caches, fragment and HTTP caching, asset compilation, profiling, log file measurement and framework hooks for instrumentation.
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Running the Largest Hadoop DFS Cluster
Hairong Kuang explains how Facebook uses HDFS to store and analyze over 100PB of user log data.
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The HipHop Compiler for PHP
Guilherme Ottoni presents the design, implementation, and an evaluation of the HipHop compiler for PHP.
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Using Node.js to Improve the Performance of Mobile Apps and Mobile Web
Tom Hughes-Croucher discusses increasing the performance of web applications and websites by using Node.js’ event-driven approach.
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Executing Queries on a Sharded Database
Neha Narula provides advice on choosing a data store for a web applications and executing distributed queries.
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