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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-.

Raffi Krikorian
on Apr 03, 2013

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38:00
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.

Martin Thompson
on Apr 02, 2013

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51:53
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.

John Davies
on Apr 01, 2013

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55:39
(un)Common Sense

Mike Solomon shares some of the experiences and lessons learned scaling YouTube over the years.

Mike Solomon
on Apr 01, 2013

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40:52
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.

Martin Thompson
on Mar 29, 2013

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50:12
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.

Frank Greco
on Mar 29, 2013

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45:23
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.

Simon Peyton Jones
on Mar 29, 2013

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52:34
Android App Anatomy

Eric Burke advises on creating mobile applications for Android: the lifecycle of an app, loaders, fragments, Otto, DI, and others.

Eric Burke
on Mar 29, 2013

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45:57
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.

Daniel Smith
on Mar 28, 2013

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51:48
Scaling Pinterest

Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.

Yashwanth Nelapati Marty Weiner
on Mar 26, 2013

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48:40
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.

Gareth Rushgrove
on Mar 20, 2013

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43:41
Dropwizard: Make Features, Not WAR

Ryan Kennedy introduces Dropwizard which is Yammer's framework for building RESTful web services on the JVM.

Ryan Kennedy
on Mar 19, 2013

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43:27