InfoQ Homepage Performance Content on InfoQ
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A Comparison between Rust and Erlang
This article will focus on a comparison between Erlang and Rust, detailing their similarities and differences. It may be interesting to both Erlang developers looking into Rust and Rust developers looking into Erlang. A final section will detail more about each of the language capabilities and shortcomings and argue for the possibility of leveraging both languages' strengths in the same project.
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FPGAs Supercharge Computational Performance
Originally used in the development of new hardware, new, cloud-based FPGAs are making the technology more accessible. The dramatic improvements in speed and lower costs over traditional CPUs means more companies can start benefiting from the technology. FPGAs are fundamentally concurrent, which makes them an ideal tool for data-intensive, parallel processing problems.
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Practical Monitoring: Book Review and Q&A with Mike Julian
Mike Julian has recently published Practical Monitoring with O’Reilly, which aims to provide readers with a foundational introduction to the topic of monitoring, as well as practical guidelines on how to monitor service-based applications and cloud infrastrastructure. InfoQ recently sat down with Julian and discussed the topic of monitoring.
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The Java Evolution of Eclipse Collections
With each successive version of Java, frameworks must adapt and transform in order to stay current. This article aims to describe some of the new Java 8 features in Eclipse Collections, a high performance collections framework for Java, and looks ahead at some of the new things we’ve done to prepare for Java 9. This article will walk through these new features and changes.
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Improving Corporate Cognitive Performance in IT Organisations
The biggest tool in the software engineer’s toolkit is the brain, yet few organisations go out of their way to educate and create the conditions in which the brain can work at its best. Explore the different domains of the brain and their links to the performance of software engineers and see what organisations can do to create workplaces that propagate advanced levels of cognitive performance.
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Virtual Panel: High Performance Application in .NET
The panelists discuss high performance computing in .NET. The topics range from the main challenges they faced, to .NET Native and high performance in unconventional platforms. Memory allocation and thus garbage collection are at the center of the conversation, from both users' and implementers' point of view.
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Benchmarks Don't Have to Die
Are tracing and profiling the future of performance engineering outside of the fast-moving JavaScript community? Do all benchmarks have a shelf-life? In this article, Matt Fleming talks about benchmarks and what keeps the good ones alive and why others die. By adapting benchmarks, they can live forever.
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Under The Hood with the JVM's Automatic Resource Management
The deprecation of Object::finalize is an unusual step for the Java ecosystem. We dive deep into the Hotspot JVM to see how it works. We also compare it to RAII and the Java 7, try-with-resources syntax. The article contrasts these very different approaches to automatic resource management, and explains why TWR should be used in place of finalization by application programmers.
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Want to Know What’s in a GC Pause? Go Look at the GC Log!
Sometimes a superficial analysis of our application performance can incorrectly have the Garbage Collector point to itself. A proper GC log analysis can lead us past the “blame the collector” game. When this happens, we can make amazing discoveries that improve the performance and stability of our applications.
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Introducing Prefix and Retrace : Interview with Stackify's Founder Matt Watson
Stackify was founded in 2012, making it a relatively new player in the field of Application Performance Management (APM) and code profilers. InfoQ reached out to Matt Watson, founder and CEO of Stackify, to learn more about its products Prefix and Retrace.
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Learning Paths: QCon London Expert Recommendations
Advice on the best talks to attend at QCon London 2017 from London Thought Leaders.
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Improve Your Node.js App Throughput One Micro-optimization at a Time
To improve the performance of a Node.js application that involves IO, you need to understand how your CPU cycles are spent and what is preventing higher degrees of parallelism in your application. In this article, Jorge Bay shares his insights on areas that cause throughput degradation and tips on how to boost performance.