InfoQ Homepage Performance & Scalability Content on InfoQ
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Configured Rails software stacks become available
Setting up and configuring servers is tedious work, particularly if a lot of libraries are involved. The Rails community has started looking into solutions for solving this, and the first are now available.
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Aaron Erickson on LINQ and i4o
In an interview with InfoQ, Aaron Erickson introduces his new LINQ extension Indexes for Objects (i4o). Indexes for Objects allows for fast lookup against in-memory collections while retaining the LINQ syntax and semantics. He also discusses how expression trees interact with LINQ and how they can be leveraged in other scenarios.
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WebLOAD: Commercial Load Testing Tool Recently Open Sourced
WebLOAD is a load testing tool from Radview that tests both for performance and also correctness. Test scripts are written in Javascript and the tool supports multiple protocols for testing all tiers of an app such as web (HTTP with Ajax support), SOAP/XML, and other protocols. This past April Radview released an open source community edition of WebLOAD under GPL, available at webload.org.
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FiveRuns: First Production Rails Management Suite
Despite Rails popularity, no professional suite existed yet to monitor Rails apps end to end. FiveRuns announced the availability of its solution at RailsConf07.
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Measuring the Immeasurable: Code Metrics for Visual Studio
Code metrics are a way to mathematically calculate the complexity of code. There are several ways to do this, 5 of which are included in Visual Studio Orcas.
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Article: The Challenges of Latency
In an exclusive InfoQ article, eBay architect Dan Pritchett explains why global, large-scale architectures need to address latency, and what architectural patterns can be applied to deal with it.
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Indexes for LINQ
When a LINQ expression directly targets a database, the DLINQ provider has full access to the database's indexes. But LINQ is not only about databases, it can also target XML or even simple object collections. For larger queries, the lack of indexing may become an issue.
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Using Dtrace to Improve Rails Performance
InfoQ investigates how three companies recently collaborated to use DTrace, a powerful open source process introspection tool, to find and fix a substantial Rails latency issue.
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A Twitter in a Teapot?
Just over a week's gone by and the community is still buzzing with the Rails scalability debate. Developers are asking the defining question: does Web 2.0 darling Twitter.com prove Rails can't scale? James Cox gives InfoQ readers a comprehensive summary.
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Automatic Parallel Processing, Will It Work?
Larry O'Brien questions the assumption that multi-core processors and languages that can leverage them will necessarily lead to performance gains.
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Choosing Patterns over Abstractions: Streaming XML
Due to its structure, XML does not naturally stream well. Microsoft’s XML Team researched several different APIs in an attempt to abstract away the complexity. In the end, they choose to give up on abstract APIs and instead demonstrate some coding patterns to accomplish the same goal.
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Partial Methods in VB and C#
Two language features, Dynamic Interfaces and Dynamic Identifiers, were cut from VB 9. New features that are being added in their place include Partial Methods. While partial methods share many of the same use cases as events, they have very different implementations.
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Interview: Frank Cohen on FastSOA
InfoQ today publishes a one-chapter excerpt from Frank Cohen's book "FastSOA". On this occasion, InfoQ had a chance to talk to Frank Cohen, creator of the FastSOA methodology, about the issues when trying to process XML messages, scalability, using XQuery in the middle tier, and document-object-relational-mapping.
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Rails 1.2 slower than 1.1?
Stefan Kaes compared Rails 1.2 performance against 1.1 and found out 1.2 was 20% slower than 1.1 version.
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MapReduce Gaining Traction: Tools Plugin Released for Eclipse and Amazon EC2 Support
IBM's Alphaworks website has released an Eclipse plugin to simplify the development of applications using Hadoop, the open source Java MapReduce framework. Work has also been done to easily allow Hadoop applications to run on Amazon's EC2 and S3 platforms for processing and storage.