New Relic: Optimizing The Database SQL and NoSQL Alike

Optimizing The DatabaseSQL and NoSQL Alike

August 31st, 2010 @ 11AM PSTBrian Doll

Application Performance Engineer

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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: brian@newrelic.com / support@newrelic.com

Twitter: @NewRelic

IRC: #NewRelic on Freenode