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= Request-log-analyzer 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. * Analyzes log files. Currently supports: Amazon S3, Apache, Delayed::Job, Merb, Mysql, PostgreSQL, Rack, Rails and more. * Combines multiple files and decompresses compressed files, which comes in handy if you are using logrotate. * 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: http://wiki.github.com/wvanbergen/request-log-analyzer/sample-output) * Low memory footprint and reasonably fast, so it is safe to run on a production server. * MIT licensed See the project wiki at http://wiki.github.com/wvanbergen/request-log-analyzer for documentation and additional information. == Installation & basic usage 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 http://wiki.github.com/wvanbergen/request-log-analyzer == Additional information 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). * Project wiki at GitHub: http://wiki.github.com/wvanbergen/request-log-analyzer * railsdoctors homepage: http://railsdoctors.com * wvanbergen's blog posts: http://techblog.floorplanner.com/tag/request-log-analyzer
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6 entries across 6 versions & 1 rubygems