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jMeter, Performance and Scalability
in Moodle
Jonathan Moore
Founder
Analysing Usage
● We size for the highest peak
● Describe the peak scenario
● How many users?
● How short of interval?
● What are they doing?
● How much growth is expected?
The mdl_log
● A wealth of information
● Many sites have > year of data
● Determine concurrency
● Determine % of activity types
● Visualize historical usage
Optimizing Performance
● Use a PHP accelerator
● Balance your memory budget
● Make InnoDB buffer pool same size as DB (see
mysqltuner.pl)
● Most sensitive to slow disks
– Sessions
– Moodle source
– Moodle database
Some General Sizing Guidelines
● ~25-30 MB per apache client /w accelerator
● ~125-150 logged in users per core
● ~4-6 x more resources for a user's first minute
● ~5 logged in users supportable per apache
child
● DB generally 1/10 size of Moodledata folder
● 5-10% of population is common peak for
concurrency
JMeter Benchmarking
● Simulates simultaneous user activity
● Gathers response and throughput results
● Not a browser can't test javascript
● Can use to measure +/- of changes
● Can use to estimate expected concurrency, but
harder
Hands On
● Install jMeter
● Setup and run a simple jMeter test
Materials
– Java https://www.java.com/en/download/
– Jmeter
http://jmeter.apache.org/download_jmeter.cgi
– Moodle test site http://download.moodle.org/
– Sample course
– Sample user (username1)
– Test plan http://tinyurl.com/nbb8q3w
What to Use for Testing?
● Copy of production for test site
– +Harder for server to cache
– -More likely errors in results due to broken content
– -Have to reset user passwords
● Synthetic test site
– +Can use known good content less false errors
– -Takes a lot of time and effort to prepare
– -Smaller DB = easier server caching
● Hybrids
Testing Changes
– Single test user and course may work well
– More accurate the test rig less likely to miss
problem
– Run same test between changes
– If results degrade don't move forward with change
without careful review
Measuring Concurrent Capacity
● Test users, enrolment, and course population
should be on par with production site
● Test set mix should reflect activity % of
production site
● Calculate
– Simultaneous logged in user count
– Simultaneous logging in users count
– They are different
– Know what you need for each
Moodle 2.6 and JMeter
● New integration available
● Creates test plan with many activity types
● Provides comparison reports
● Only single user / single course test?
Tools
● jMeter
● SQL queries + mdl_log
● PHP Accelerator
● Cacti, munin, nagios, etc
● CLI: top, sar, innotop, mysqltuner.pl etc
Questions?
● jonathan@elearningconsultancy.com
● Twitter: @moorejon
● Skype: moorejon07
What we do
● Expert advice and eLearning program review
● Evangelism and training
● Instructional Design
● Custom development
● System tuning
● Performance assessment

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JMeter performance and scalability in Moodle Montana Moot 2014

  • 1. jMeter, Performance and Scalability in Moodle Jonathan Moore Founder
  • 2. Analysing Usage ● We size for the highest peak ● Describe the peak scenario ● How many users? ● How short of interval? ● What are they doing? ● How much growth is expected?
  • 3. The mdl_log ● A wealth of information ● Many sites have > year of data ● Determine concurrency ● Determine % of activity types ● Visualize historical usage
  • 4. Optimizing Performance ● Use a PHP accelerator ● Balance your memory budget ● Make InnoDB buffer pool same size as DB (see mysqltuner.pl) ● Most sensitive to slow disks – Sessions – Moodle source – Moodle database
  • 5. Some General Sizing Guidelines ● ~25-30 MB per apache client /w accelerator ● ~125-150 logged in users per core ● ~4-6 x more resources for a user's first minute ● ~5 logged in users supportable per apache child ● DB generally 1/10 size of Moodledata folder ● 5-10% of population is common peak for concurrency
  • 6. JMeter Benchmarking ● Simulates simultaneous user activity ● Gathers response and throughput results ● Not a browser can't test javascript ● Can use to measure +/- of changes ● Can use to estimate expected concurrency, but harder
  • 7. Hands On ● Install jMeter ● Setup and run a simple jMeter test
  • 8. Materials – Java https://www.java.com/en/download/ – Jmeter http://jmeter.apache.org/download_jmeter.cgi – Moodle test site http://download.moodle.org/ – Sample course – Sample user (username1) – Test plan http://tinyurl.com/nbb8q3w
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  • 11. What to Use for Testing? ● Copy of production for test site – +Harder for server to cache – -More likely errors in results due to broken content – -Have to reset user passwords ● Synthetic test site – +Can use known good content less false errors – -Takes a lot of time and effort to prepare – -Smaller DB = easier server caching ● Hybrids
  • 12. Testing Changes – Single test user and course may work well – More accurate the test rig less likely to miss problem – Run same test between changes – If results degrade don't move forward with change without careful review
  • 13. Measuring Concurrent Capacity ● Test users, enrolment, and course population should be on par with production site ● Test set mix should reflect activity % of production site ● Calculate – Simultaneous logged in user count – Simultaneous logging in users count – They are different – Know what you need for each
  • 14. Moodle 2.6 and JMeter ● New integration available ● Creates test plan with many activity types ● Provides comparison reports ● Only single user / single course test?
  • 15. Tools ● jMeter ● SQL queries + mdl_log ● PHP Accelerator ● Cacti, munin, nagios, etc ● CLI: top, sar, innotop, mysqltuner.pl etc
  • 17. What we do ● Expert advice and eLearning program review ● Evangelism and training ● Instructional Design ● Custom development ● System tuning ● Performance assessment