InfoQ Homepage Performance Content on InfoQ
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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.
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Performance Analysis and Monitoring with Perf4J
In this article Alex Devine explains how Java developers can take advantage of Perf4J, an open source toolset for adding code timing statements and for logging, analyzing and monitoring the results. Alex introduces several aspects of Perf4J like integration with Log4J, use of annotations, pitfalls and good practices.
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Gregg Pollack and the How-To of Scaling Rails
Ruby on Rails has done well since its introduction a few years ago but has taken some criticism for not being able to scale. Developers know there is always a right way and a wrong way to solve any problem and scaling Ruby on Rails is no different. Learn about what is being done to address Ruby on Rails and scaling to the enterprise.
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Amazing Charts In Rails
A introduction to creating Flash charts using the FusionCharts Free from Ruby, complete with a feature comparison of other charting libraries.
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Using the Concurrency and Coordination Runtime
Nick Gunn provides a practical introduction the Concurrency and Coordination Runtime for .NET. CCR radically changes the way multi-threaded applications are written in .NET, shifting the focus from threads and locks to lightweight, asynchronous tasks.
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A Formal Performance Tuning Methodology: Wait-Based Tuning
In this article, Steven Haines talks about web application performance tuning which used to be more of an art than science. He proposes a method called wait-based tuning, making the entire process more measurable and, consequently, more scientific.
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Building Scalability and Achieving Performance: A Virtual Panel
Join our industry-heavyweight (eBay, Betfair, FiveRuns and Twitter) panel as they explore the cost of making their sites as scalable as possible, whilst tuning to get the most performance they possibly can. They explore the pros-and-cons of making their apps as awesome as possible - all the while under the pressure of their business requirements.
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Implementing Master-Worker with Terracotta
A real world case study of a consultancy that distributed the load & increased scalability of its applications using Terracotta using the Master/Worker pattern.
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The Box: A Shortcut to finding Performance Bottlenecks
Finding performance bottlenecks can be a difficult task and it can get even more difficult as our applications grow in size. The Box is a methodology tool that focuses us efforts to improve performance.If you want to be consistent and predictable, getting rid of the guessing is a must.
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Yahoo's Doug Cutting on MapReduce and the Future of Hadoop
InfoQ's lead Java editor, Scott Delap, recently caught up with Hadoop project lead Doug Cutting. Hadoop is an open source distributed computing platform that includes implementations of MapReduce and a distributed file system. In this special InfoQ interview Cutting discusses how Hadoop is used at Yahoo, the challenges of its development, and the future direction of the project.
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Using ETags to Reduce Bandwith & Workload with Spring & Hibernate
Gavin Terrill explores one of the lessor known facilities available to web developers, the humble "ETag Response Header", and how to integrate its use in a Spring and Hibernate based web app to improve application performance and scalability.
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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.