Adam Wiggins on Heroku
Heroku's Adam Wiggins talks about how Heroku, Add-Ons, Ruby, and how Heroku manages to work around Ruby's inefficiencies using Erlang and other languages.
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Performance & Scalability Content on InfoQ
Latest featured content about Performance & Scalability
News about Performance & Scalability
Dynamic Language Roundup: Python's GIL Gets Overhauled but not Removed, Squeak Comes to Android
The Unladen Swallow project that aims to speed up Python has proposed to be merged into mainstream Python. One of Unladen Swallow's goals was to remove the GIL; a new implementation of Python's GIL by Antoine Pitrou will be fairer and less intrusive on multicore CPUs. Also: Squeak Smalltalk has been ported to Android.
ConcurrentDictionary, .NET 4.0’s New Thread-Safe Hashtable
The ConcurrentDictionary is a cornerstone in .NET 4.0’s greatly increased emphasis on parallel and concurrent programming. But while vastly superior to what we have seen in the past, it isn’t a panacea and developers need to study its semantics carefully.
Articles about Performance & Scalability
Extreme Transaction Processing Patterns: Write-behind Caching
Lan Vuong shows how to optimize the performance of an application by leveraging the write-behind caching pattern which sends batch updates to the back-end database asynchronously within a user configurable interval of time, instead of doing sychronous write-through updates typical in web apps.
Building FlightCaster's Frontends for the Web and Smartphones
In part two of InfoQ's interview with the FlightCaster team, we discuss scaling Rails on Heroku, the problems of integrating data from multiple providers and mobile smartphone applications.
Presentations about Performance & Scalability
A Crash Course in Modern Hardware
In this presentation from the JVM Languages Summit 2009, Cliff Click discusses the Von Neumann architecture, CISC vs RISC, the rise of multicore, Instruction-Level Parallelism (ILP), pipelining, out-of-order dispatch, static vs dynamic ILP, performance impact of cache misses, memory performance, memory vs CPU caching, examples of memory/CPU cache interaction, and tips for improving performance.
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.
Interviews about Performance & Scalability
Doug Lea Discusses the Fork/Join Framework
Doug Lea talks to InfoQ about the evolution of the Fork/Join Framework, the new features planned for java.util.concurrent in Java 7, and the "Extra 166" package. The interview goes on to explore some of the hardware and language changes that are impacting concurrent programming, and the effect the increasing prevalence of alternative languages in the JVM are having on library design.
Luke Galea on Ruby and Erlang
In this interview taped at FutureRuby, Luke Galea talks about his experience with building sites using Ruby and Merb as well as integrating them using Erlang in the messaging layer.