cloudfoundry-samples/twitter-rabbit-socks-sample

Name: twitter-rabbit-socks-sample

Owner: Cloud Foundry Sample Applications

Description: A distributed application using Spring Integration, Node.js, and RabbitMQ.

Created: 2012-05-03 16:18:38.0

Updated: 2015-03-13 14:16:06.0

Pushed: 2012-08-22 18:12:21.0

Homepage:

Size: 522

Language: Groovy

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

Cloud Foundry Twitter Search

This is a distributed application containing 2 components:

Usage
rabbit2socks

Prior to deploying the app, update the file public/index.html to the URL you plan to provide for the application:

sock = new SockJS("http://mytwittersearch.cloudfoundry.com/socks");

Package the application dependencies by running 'npm install'. To deploy the application to Cloud Foundry, simply use the provided manifest.yml file. You need only to provide the application with a name and URL (make sure you use the URL you specified in public/index.html):

abbit2socks
install
push
d you like to deploy from the current directory? [Yn]:
ication Name: mytwittersearch
ication Deployed URL [mytwittersearch.cloudfoundry.com]:

Open a browser and navigate to http://mytwittersearch.cloudfoundry.com. The page will be blank initially, but watch for dynamically added tweets once you've deployed twitter2rabbit.

twitter2rabbit

Simply use the provided manifest.yml file to deploy the application to Cloud Foundry. You need only to provide the application with a name.

witter2rabbit
package
push
d you like to deploy from the current directory? [Yn]:
ication Name: twitter2rabbit

Now just keep an eye on http://mytwittersearch.cloudfoundry.com and watch those new tweets pop up every 5 seconds!

Using Gradle

If you would prefer to use Gradle to build twitter2rabbit, simply run “gradle installApp”. Then update the path and command in the manifest.yml file:

ications:
ild/install/twitter2rabbit:

and: bin/twitter2rabbit

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.