InfoQ Homepage Performance Content on InfoQ
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Java vs. C Performance
Cliff Click takes a look at Java vs C performance. He discusses both languages' strong and weak points and the programming context surrounding language choices.
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Profilers Are Lying Hobbits (and we hate them!)
Nitsan Wakart discusses concrete cases in which profilers misguide, misrepresent and at times subvert the systems they aim to help us diagnose.
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How to I/O?
Todd Montgomery discusses the challenges of I/O, as software and hardware change rapidly and conventional wisdom must evolve to keep up, revisiting old ideas with new and different perspectives.
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Beyond Lists
Phillip Trelford shows through live demos data structures that are orders of magnitude more performant than lists.
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Lessons in Extreme .NET Performance
Ben Watson provides a deep-dive introduction to what you need to know to squeeze out the ultimate performance from your .NET code, along with war stories from building the Bing platform query engine.
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High Performance Stream Processing
S Maldini, G Renfro and D Turanski dissect a Spring XD app to show design patterns and techniques for getting the highest throughput and lowest resource utilization in streaming apps.
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Building Highly-resilient Systems at Pinterest
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
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Service Discovery and Clustering for .NET developers
Ian Cooper looks at Service Discovery and Clustering approaches and tools, and shows .NET developers how to work with tools such as Serf, Consul, and Zookeeper.
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Trench Talk: Models and Friends
Yves Reynhout discusses models, how they're created and tested against scenarios, how they're useful, what distinguishes them from others, how they're visualized and communicated, etc.
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Logging Makes Perfect - Real-world Monitoring and Visualizations
Itamar Syn-Hershko shows using various technologies -Storm, Node.js, Riemann, collectd, D3.js, ELK, PagerDuty, Slack - to power Forter’s service and keep it highly available and under control.
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Explorations of the Three Legged Performance Stool
Charlie Hunt explains the three performance attributes of throughput, latency and (memory) footprint and how each of these are influenced in terms of JVM garbage collection.
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Beyond the Hype: 4 Years of Go in Production
Travis Reeder thinks performance, memory, concurrency, reliability, and deployment are key to exploring Go and its value in production. Travis describes how it’s worked for Iron.io.
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