InfoQ Homepage application performance management Content on InfoQ
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Resiliency through Failure - Netflix's Approach to Extreme Availability in the Cloud
Ariel Tseitlin discusses Netflix' failure-based suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment.
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Robust Software - Dotting the I's and Crossing the T's
Chris Oldwood discusses what it takes to create robust software: correct error detection and recovery, testing systemic effects, app monitoring and configuration.
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Code Execution as Data
Zach Tellman discusses instrumenting and analyzing running systems using real world examples from Factual's production systems.
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Leveraging Your Hadoop Cluster Better - Running Performant Code at Scale
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
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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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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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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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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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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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Lock-Free Algorithms For Ultimate Performance
Martin Thompson discusses the need to measure what’s going on at the hardware level in order to be able to create high performing lock-free algorithms.
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