This is a simple command line tool to analyze request log files in various formats to produce a performance report. Its purpose is to find what actions are best candidates for optimization.
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Analyzes log files. Currently supports: Amazon S3, Apache, Delayed::Job, Merb, Mysql, PostgreSQL, Rack, Rails and more.
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Combines multiple files and decompresses compressed files, which comes in handy if you are using logrotate.
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Uses several metrics, including cumulative request time, mean request time, process blockers, database and rendering time, HTTP methods and statuses, Rails action cache statistics, etc.) (Sample output: wiki.github.com/wvanbergen/request-log-analyzer/sample-output)
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Low memory footprint and reasonably fast, so it is safe to run on a production server.
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MIT licensed
See the project wiki at wiki.github.com/wvanbergen/request-log-analyzer for documentation and additional information.
Install request-log-analyzer as a Ruby gem (you might need to run this command as root by prepending sudo
to it):
$ gem install request-log-analyzer
To analyze a Rails log file and produce a performance report, run request-log-analyzer like this:
$ request-log-analyzer log/production.log
For more details, other file formats, and available command line options, see the project’s wiki at wiki.github.com/wvanbergen/request-log-analyzer
Request-log-analyzer was designed and built by Willem van Bergen and Bart ten Brinke.
Do you have a rails application that is not performing as it should? If you need an expert to analyze your application, feel free to contact either Willem van Bergen (willem@railsdoctors.com) or Bart ten Brinke (bart@railsdoctors.com).
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Project wiki at GitHub: wiki.github.com/wvanbergen/request-log-analyzer
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railsdoctors homepage: railsdoctors.com
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wvanbergen’s blog posts: techblog.floorplanner.com/tag/request-log-analyzer