InfoQ Homepage Performance Content on InfoQ
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Practicing at the Cutting Edge: Learning and Unlearning about Performance
Martin Thompson discusses the major steps in the evolution of Java and how it contrasts to alternative technologies, and the challenges of pushing the limits of performance.
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Going Reactive: Event-Driven, Scalable, Resilient & Responsive Systems
Jonas Bonér discusses four key traits of Reactive Apps: Event-Driven, Scalable, Resilient and Responsive, how they impact application design, how they interact, related technologies and techniques.
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Parallel-lazy Performance: Java 8 vs Scala vs GS Collections
Sponsored by Goldman Sachs. Java 8 has Streams, Scala has parallel collections, and GS Collections has ParallelIterables. How well do they perform?
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How WebMD Maintains Operational Flexibility with NoSQL
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.
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Web & Database Load Testing with JMeter
Michael Dowden introduces JMeter and explains how to develop a data-driven methodology to determine some of the limits of a web application: max number of concurrent users, bottlenecks, etc.
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Understanding Latency: Some Key Lessons & Tools
In this solutions track talk, sponsored by Azul Systems, Gil Tene discusses pitfalls encountered in measuring and characterizing latency, and ways to address them using some new open source tools.
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The Secret Lives of Garbage Collectors
Jonathan Worthington explains the garbage collection terminology, the trade-offs made by GC designers, and how to write GC-friendly code for better performance.
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Why Agile Doesn't Scale (and What You Can Do about It)
Dan North believes Agile scales if teams achieve contextual consistency through shared guiding principles, a clear vision and a common understanding.
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JS Optimization Techniques
Guillaume Lathoud suggests expanding JavaScript with mutual tail-call optimization, map/filter/reduce and math computations to obtain faster code.
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The Haxl Project at Facebook
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
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Exploiting Loopholes in CAP
Michael Nygard discusses several loopholes in the CAP theorem that can be used to engineer practical, real-world systems with desirable features.
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Fault Tolerance 101
Joe Armstrong discusses fault tolerant systems, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.
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