Awesome

#Raggiana

###Overview

Raggiana exists to provide a fast, easy, and intuitive way to view and process data from Finagle projects. Finagle projects create a log file containing dense json data. Raggiana parses this data and graphs it using the Rickshaw javascript library.

###Getting Started

#####Download Download Raggiana! The Github page is https://github.com/twitter/raggiana. Navigate to the directory where you would like to place Raggiana and run:

$ git clone https://github.com/twitter/raggiana

Raggiana uses the Bower package manager (https://github.com/bower/bower). To load the dependencies, run

$ npm install bower //if you don't already have bower on your machine
$ bower install
$ grunt dist

#####Open it Since Raggiana is javascript-based, you use it in your browser. Open a new tab and enter in the url bar:

file://localhost/filepath/raggiana/dist/index.html

You should see an empty stats viewer, with controls on the left and some boxes at the bottom that say things like "metrics" and "graph." To upload some data, find the button that says "Choose File". Click it, and it will allow you to choose a file to upload.

Raggiana provides some nice sample data for you in raggiana/examples. Try uploading the provided hello_log.txt.

Note: stats logs do not have to be .txt files. Most Finagle projects produce output files resembling: job_name-stats.log.

#####Graph it When you upload your file, you should see that the Metrics box has been populated with all the different statistics and metrics found in the data file. To add a metric to the graph, click on it or drag it to the graph metrics box. Move "hello1" and "hello2" to the Graph Metrics box. Look! The graph says hi! That was a silly example, let's try a better one. Click the "Choose File" button again, and this time open examples/example_data.log.

#####Play with it There are all kinds of ways to manipulate your graphs. Try all the buttons! You can:

trace graphs to see point values
toggle visibility for each metrics in the legend (upper left)
change graph type (area, bar, line, plot)
change line type (cardinal, linear, bar)
see data stacked or in a stream, or as percentage values.
use the "smoother" bar to smooth the graph
use the range bar (underneath the graph) to zoom in on a specific area

###Testing

If you're developing with Raggiana and you want to run tests, it's easy! From your raggiana directory, run

$ npm install
$ npm test

You can edit the tests and add your own by modifying runTests.js or by writing a new test file and adding it to the "files" field in karma.conf.js.

###Publishing a new release

To publish a new raggiana release, you can execute:

    $ npm tag v1.0.0 (or proper release version)
    $ grunt release

This will publish a new release to here: http://twitter.github.io/raggiana/

###Troubleshooting

######Problems uploading file: If your data file has changed and you wish to load the new data, you may need to refresh the page before uploading again.

######Slow performance: For huge data (tens of thousands of data points), performance may become slow. Using the smoothing bar can effectively reduce the size of the data and make manipulation much faster. Alternatively, using the range bar to limit the scope of the graph will also speed up performance.

###Feedback Bugs? Confusion? Raise an issue on github: https://github.com/twitter/raggiana/issues.

Licensed under the Apache License Version 2.0: http://www.apache.org/licenses/LICENSE-2.0