New Relic: Optimizing The Database SQL and NoSQL Alike
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Optimizing The Database SQL and NoSQL Alike August 31st, 2010 @ 11AM PST Brian Doll Application Performance Engineer
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Transcript of New Relic: Optimizing The Database SQL and NoSQL Alike
Optimizing The DatabaseSQL and NoSQL Alike
August 31st, 2010 @ 11AM PSTBrian Doll
Application Performance Engineer
NewRelic.com
Monitoring Data Stores in RPM
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Monitoring Data Stores in RPM
*
* Requires rpm_contrib
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“SQL Instrumentation” ==“NoSQL Instrumentation”
=> true
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Add rpm_contrib and go!
#Gemfile gem 'rpm_contrib'
Contribute at http://github.com/newrelic/rpm_contrib
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Easy InstrumentationLearn more @ http://bit.ly/custom-instrumentation
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Easy InstrumentationLearn more @ http://bit.ly/custom-instrumentation
add_method_tracer :find, ‘Database/#{self.name}/find’ #Database/Post/find
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So what does RPM tell us about the database tier?
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How much time are we in there?
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DB vs. Cache: Fight!
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Database Overview
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Generic SELECTs
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Table#find
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Web Transaction Detail
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EXPLAIN PLAN
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But does it scale?
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Database Report
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What have we learned?
RPM provides detailed database metrics
RPM provides high-level database scalability metrics
RPM is db agnostic: SQL or NoSQL = no problem
It’s easy to instrument fancy new database engines if its not covered yet
You can’t scale without metrics
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Any Questions?
Live Q&A during the webinar
http://support.newrelic.com/
Email: [email protected] / [email protected]
Twitter: @NewRelic
IRC: #NewRelic on Freenode
