InfoQ Homepage Performance Content on InfoQ
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Deep Dive into G1 Garbage Collector
Charlie Hunt and Monica Beckwith describe the operational basics of G1 and how to tune it, along with tips on what to expect when migrating from Parallel GC or CMS to G1 GC.
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Lessons from Building and Scaling LinkedIn
Jay Kreps discusses the evolution of LinkedIn's architecture and lessons learned scaling from a monolithic application to a distributed set of services, from one database to distributed data stores.
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Facebook Messages: Backup & Replication Systems on HBase
Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.
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The Fundamentals of JVM Tuning
Charlie Hunt presents the fundamentals of JVM tuning and provides advice for developers on writing a Java application that performs well at runtime.
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Dumb and Dumber: How smart is your monitoring data
Big Data is all the rage right now. Everyone from a social media company to your grandmother's online knitting store is suddenly a big data shop.
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Racing Thru the Last Mile: Cloud Delivery Web-Scale Deployment
Alex Papadimoulis discusses various deployment strategies, scalable delivery, with examples from real-world organizations such as AllRecipes.com, Twitter, and Google.
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JVM Mechanics – A Peek Under the Hood
Gil Tene discusses JVM observation-based runtime optimizations, ordering and memory model rules, basics GC functions, memory management, and JVM mechanics.
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Running with the Devil: Mechanical Sympathetic Networking
Todd Montgomery discusses messaging: application level batching, UDP datagram size’s impact on performance, sendmmsg/recvmmsg, implementing asynchronous calls.
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Visualizing Java Garbage Collection
Ben Evans discusses garbage collection in Java along with some tooling for understanding and visualizing how it works.
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Go at Google
Rob Pike explains how Google designed Go to address major development issues they encounter while using other languages: long build times, poor dependency management, lack of robustness, etc.
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PHP on the Metal with HHVM
Keith Adams shares details on building HHVM, a PHP VM built by Facebook, along with lessons learned doing it and tuning it for high performance.
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How NOT to Measure Latency
Gil Tene introduces and demonstrates how simple and recently open sourced tools can be used to improve and gain higher confidence in both latency measurement and reporting.
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