InfoQ Homepage Scalability Content on InfoQ
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Heroku's Provisionless Hosting for Rails Apps is Revolutionary
Heroku debuted a commercial version of their Rails hosting solution last week, after a free beta stage that lasted over a year. Using Heroku, deployment of a new Ruby web application from scratch is accomplished with little more than a handful of commands from your terminal. No emails, phone calls or support tickets needed.
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Presentation: Financial Transaction Exchange at BetFair.com
Betfair is the world's largest betting exchange with a transaction volume the equivalent of over half the combined equity trading volume of every major stock exchange in the world. In response to an increase in transaction volume coupled with a decrease in value per transaction, Betfair launched a number of initiatives to dramatically increase transaction processing capacity and reduce cost.
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Interview: Gregg Pollack and the How-To of Scaling Rails
In this interview with Gregg Pollack of Rails Envy Podcasts, Robert Bazinet talks with Gregg about the issues around scaling Rails, his involvement with New Relic and the creation of the Scaling Rails screencast series as well as other keys to scaling Rails.
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Article: Using the Concurrency and Coordination Runtime
Nick Gunn provides a practical introduction Using the Concurrency and Coordination Runtime. CCR radically changes the way multi-threaded applications are written in .NET, shifting the focus from threads and locks to lightweight, asynchronous tasks. The Concurrency and Coordination Runtime, also known as CCR, offers actor-style concurrency for .NET applications.
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The Clouds Can Do Mathematics
Wolfram Research has announced the availability of its product, Mathematica 7, to perform computations using cloud computing services from within the application. Mathematica is a computing environment providing support for numerous numeric and symbolic computations through a dedicated symbolic language.
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Smooth HTTP Caching With Rack::Cache
The ways to cache a web application are numerous and often complex. Apart from the very basic page caching, Rails 2.2 introduced conditional GET through the use of HTTP headers: last_modified and etag. Following most of the internet standard caching section of RFC2616, Ryan Tomayko released Rack::Cache.
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Event Stream Processing: Scalable Alternative to Data Warehouses?
Dan Pritchett suggests that analyzing streams of events using Event Stream Processor could be an interesting alternative solution to data warehousing applications, which have, in his opinion, important downsides in terms of cost, scalability and reactivity.
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Performance Monitoring Roundup: Rails Core and New Relic Cooperate, FiveRuns TuneUp Supports Merb
NewRelic announced a cooperation with the Rails Core team to improve Rails performance. An opt-in feature allows to make performance data available to the Rails Core team, which can use it to figure out Rails bottlenecks in real world Rails apps. Also: FiveRuns' TuneUp performance monitoring tools now supports Merb.
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Presentation: Rockstar Memcaching
In this presentation from RubyFringe, Tobias Lütke talks about memcached, the widely used caching solution. Tobias explains how to use it and gives some practical tips on what not to do.
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Terracotta 2.7 Release Supports GlassFish, Spring 2.5 and Distributed Garbage Collection
The latest version of Terracotta, an open source Java clustering framework, supports GlassFish, Spring 2.5 and new features like Automated High Availability Mode, Improved Distributed Garbage Collector (DGC) Performance and Visibility, and Cluster-Wide Runtime Statistics. Terracotta development team announced last week the availability of Terracotta 2.7 version.
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Interview: Tom Preston-Werner on Powerset, GitHub, Ruby and Erlang
In this interview filmed at RubyFringe 2008, Tom Preston-Werner talks about how both Powerset and GitHub use Ruby and Erlang, as well as tools like Fuzed, god, and more.
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An in-depth overview of modern Application Performance Management
Nicholas Whitehead, a Senior Technology Architect with ADP, published a three part article series on IBM's developerWorks entitled Java run-time monitoring that reviews, in detail, the strategies employed in modern Application Performance Management (APM) solutions.
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Presentation: Jinesh Varia About Amazon Alexa Web Service's Architecture
In this presentation, Jinesh Varia, a Web Services Evangelist at Amazon, talks about the architecture of one of Amazon's web services called Alexa. Jinesh explains how Amazon has reached scalability, performance and reduced costs for the Alexa service.
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Presentation: The Top 10 Ways to Botch Enterprise Java Application Scalability and Reliability
In this presentation, Cameron Purdy discusses Java scaling. Topics include performance improvement versus scaling improvement, serial bottlenecks, queue theory, rewriting existing frameworks, avoiding the database, single points of failure, avoiding abstractions, disaster recovery, one-size-fits-all architecture, large JVM heaps, network failures, and trusting product claims.
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Grizzly and the New Atmosphere Comet Framework: Q&A with Project Lead Jean-Francois Arcand
The Grizzly framework is used in multiples products like GlassFish, Sailfin, RESTlet, OpenESB and many more, where it enables developers to write scalable server applications, by leveraging the Java New I/O API (NIO). Atmosphere, an evolution of Grizzly, is a POJO based framework that aims to bring Comet to the masses. Jean-Francois talks to InfoQ about this new development.