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# Monitoring Data Structure Metrics

**URL:** https://crunchtools.com/monitoring-data-structure-metrics/
Date: 2011-05-25
Author: fatherlinux
Post Type: post
Summary: I finished reading this article on High Scalability entitled, Troubleshooting Response Time Problems – Why You Cannot Trust Your System Metrics and it reminded me of why I developed a Cacti graphing plugin for monitoring sockets, pipes and files.Continue Reading "Monitoring Data Structure Metrics" →
Categories: Articles
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I finished reading this article on [High Scalability](http://highscalability.com) entitled, [Troubleshooting Response Time Problems – Why You Cannot Trust Your System Metrics](http://highscalability.com/process/CreateJournalEntryComment?moduleId=4867632&entryId=11418963) and it reminded me of why I developed a Cacti graphing plugin for monitoring [sockets, pipes and files](http://crunchtools.com/software/crunchtools/cacti/graph-sockets-pipes-files/).

This article is interesting because it basically demonstrates the same thing at the JVM level. Monitoring instantiated data structures and access to function/API calls is critical for guaranteeing performance of your application. I think of it as run time unit testing. It's too bad we couldn't climb up the stack a hair further and standardize on some essential data structures to monitor in all of the virtual machines: JVM, Ruby, Python, Perl, etc.

 

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