InfoQ Homepage application performance management Content on InfoQ
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How Zynga Handles Monitoring at Scale in Its Hybrid zCloud
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
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Thinking DSLs for Massive Visualization
Leo Meyerovich introduces Superconductor, a browser-based language for massive interactive visualizations using end-to-end parallel DSLs and a synthesis DSL for parallel layout.
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DevOps Patterns to Scale Web Applications using Cloud Services
Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
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Visualization Driven Development
Jason Gilman demonstrates creating visualizations with HTML, CSS, JavaScript, D3, then connect them to a code.
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Fast and Dynamic
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
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Why Ruby Isn't Slow
Alex Gaynor explains how he solved the usual Ruby VM speed problems with Topaz, a high performance VM built on the same technologies that power PyPy.
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Visual Management: Leading with What You Can See
Craig Smith, Renee Troughton discuss improving visual management: different types of story walls, ways to visualize the product backlog, the important of queue columns and WIP limitation, etc.
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The Unreasonable Effectiveness of Tuning
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
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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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