Its such a fun to build low-latency system with Node.js .

It just works like a charm…  pulling stream of events in a Redis queue , storing raw data and aggregated result in MongoDB and finally let Browser automatically pull updates and events through socket I/O. Ultimately updating charts in real-time through dojo/jquery websocket client.

More on running Node.js app in CloudFoundry Pass : https://phisymmetry.wordpress.com/2012/12/25/coding-on-cloud-simplicity-matters/

This is a beautiful example from cloudfoundry : http://blog.cloudfoundry.com/2012/09/11/node-activity-streams-app-3/

I was closely following the interesting usecase of server-side chart generation http://developer.gooddata.com/blog/2011/02/22/charting-export-using-nodejs-and-erlang/

Consider for example that you’d like to schedule a regular email to be sent out with your charts every day in the morning. … In this case, there is no browser around to be used – and so you have to generate the chart on the server.

courtesy : Gooddata

The bottom-line is to parallelize different functionality ‘performing chart’, ‘preparing chart’ through running erlang/akka parallel modules on node.js

server-side charting now gaining more traction through jsdom and node-canvas. This is a nice blogpost with some cross-browser html5 compliant code

http://www.infragistics.com/community/blogs/engineering/archive/2012/10/04/using-node-js-to-show-our-jquery-chart-in-older-browsers.aspx

In order to build a robust server backend clustering is must ! http://nodejs.org/api/cluster.html#cluster_how_it_works

Few interesting performance tipshttp://engineering.linkedin.com/nodejs/blazing-fast-nodejs-10-performance-tips-linkedin-mobile

Ref : https://github.com/davidpadbury/node-highcharts http://docs.cloudfoundry.com/services/mongodb/nodejs-mongodb.html

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