InfoQ Homepage QCon Software Development Conference Content on InfoQ
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How NOT to Measure Latency
Gil Tene introduces and demonstrates how simple and recently open sourced tools can be used to improve and gain higher confidence in both latency measurement and reporting.
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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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In-Memory Message & Trade Repositories
John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.
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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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Fixing the ICT Crisis at School
Simon Peyton Jones discusses the need for a decent education system in IT and computer science, advocating for taking action now before it is too late.
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Android App Anatomy
Eric Burke advises on creating mobile applications for Android: the lifecycle of an app, loaders, fragments, Otto, DI, and others.
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Project Lambda in Java SE 8
Daniel Smith details some of the new features prepared for Java 8 by Project Lambda: lambda expressions, default methods, and parallel collections.
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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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