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Request-log-analyzer (r-l-a) is a command line tool to analyze request log files. Its purpose is to find what requests are best candidates for optimization. It parses the provided log files and aggregates the parsed information to build a performance report. See Sample output for an example of this report.
Use the issues tracker, or send me a message on my GitHub account if you have questions, ideas, feature requests, bug reports, etc. Or, read some Testimonials of our users and send one in yourself!
Willem van Bergen – Bart ten Brinke
- Rails log files for both the production (
--format rails, default) and development (--format rails_development) environment. - Merb log files (
--format merb) - Rack CommonLogger log files (
--format rack) -
Apache access log files (
--apache-format <format string>) -
Amazon S3 access log files (
--format amazon_s3)
Moreover, you can easily create your own file formats easily or adapt one of the out-of-the-box formats for your own needs. See Creating your own file format definition for more information and instructions.
Use RubyGems to install request-log-analyzer on your computer:
$ sudo gem install request-log-analyzer
Alternatively, install the gem from the GitHub gem server instead:
$ sudo gem install wvanbergen-request-log-analyzer -s http://gems.github.com
- Performance measurement basics: get introduced quickly to the performance measurement basics.
- Basic usage: get a performance report using your application’s request log files.
- Configure logging: configure logging correctly for your application to get the best results out of r-l-a (now with munin !).
- In-depth analysis: use filtering options to drill down to the cause of the performance issues.
- Creating a request database: create an SQLite 3 database with all parsed request information and perform analyses using SQL queries.
- Creating your own file format definition: gear the log analyzer towards your application and get more detailed results
- Check out the Development page if you want to help out on this project.
- The Changelog documents what has changed over the different releases.
- My blog posts on request-log-analyzer (may be somewhat dated)