InfoQ Homepage Performance Content on InfoQ
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Application Delivery in the Cloud
Alex Gosse presents the current trend in application delivery, referring to cloud computing, its adoption and DevOps tools used in such environments.
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Embracing Concurrency at Scale
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
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Pushing The Limits of Web Browsers … or Why Speed Matters
Lars Bak presents several language virtual machines (Self, Strongtalk, Hotspot), why they matter and how they influenced V8 and Dart. His talk is centered on performance.
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MongoDB - Born in the Cloud
Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.
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Event Processing at Massive Scale
Uri Cohen discusses several types of queues with their pros and cons used in financial and trading industries for highly parallelized data processing.
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Caching, NoSQL & Grids - What the Banks Can Teach Us
John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.
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Need Some Cache? Redis in Depth
Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.
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Scalable Internet Architectures
Theo Schlossnagle presents several architectural design principles useful for building scalable systems starting from the networking up to the application layer.
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Going for Speed: Testing Against Performance Expectations
Jay Harris offers tips on using unit testing to improve the performance of applications.
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"Big Data" and the Future of DevOps
Ram C Singh discusses using Big Data for infrastructure telemetry along with good practices and an autonomic engine to create an autonomic computing infrastructure that might prevent downtime.
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High Performance Mobile
Steve Souders discusses the importance of mobile performance, providing advice on creating more responsive mobile apps, and outlining the latest developments in analyzing mobile performance.
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Extreme Performance with Java
Charlie Hunt explains what can be done to lower the latency introduced by the Java GC and JIT, including coding tips, and introducing tools for tuning the performance of Java applications.
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