InfoQ Homepage Tuning Content on InfoQ
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Understanding Python Memory at Instagram
Min Ni discusses how Python memory profiling is done at Instagram, insights from memory profiling data, and learnings from tuning and improving Python memory garbage collection.
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Java 9 - The (G1) GC Awakens!
Monica Beckwith talks about G1 pause (young and mixed) composition, G1's remembered sets and collection set and G1's concurrent marking algorithm, providing performance tuning advice.
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Building and Tuning High Performance Java Platforms
Emad Benjamin covers various GC tuning techniques and how to best build platform engineered systems; in particular the focus is on tuning large scale JVM deployments.
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Tuning Java for Big Data
Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.
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Beating Hand Tuned Assembly in Compiled Languages
David Richardson presents the optimization techniques employed to set three world speed records using a combination of code generation and hardware specific optimizations.
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Tuning Large Scale Java Platforms
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
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Enabling Java in Latency Sensitive Environments
Gil Tene examines the core issues that have historically kept Java environments from performing well in low latency environments and how it can perform now without trade-offs and compromises.
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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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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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Virtualizing and Tuning Large Scale Java Applications
Emad Benjamin explains how to deploy and tune a JVM on a virtual infrastructure (vSphere), and how to tune the garbage collector in this environment.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains the workings of a garbage collector: terminology, metrics, fundamentals, key mechanisms, classification of current GCs, the “Application Memory Wall” problem, and details Azul C4 GC.
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