AfterGlow Cloud: Second release

20 Aug 2012 Surya Nallu afterglow afterglow-cloud data-visualization gsoc

AfterGlow cloud has evolved further into another release; with many improvements added to the initial version. With GSoC 2012 approaching an end, we’ve covered all the additional features we planned for in the second phase of development, post mid-term. Building up on the initial version, this post will run you through the general features and additional improvements covered.

A live demo of this release can be found here: http://andromeda.ayrus.net:8080/

Data sources: In addition to the initial method of uploading AfterGlow compatible CSV file, the application now supports two new methods of visualizing your data. You can now upload your logs straight from the source and have it parsed (to a CSV file) and then, rendered on the fly. Additionally, AfterGlow Cloud is now integrated with Loggly.com’s API. Loggly is a service which is used collect log data for monitoring and analyzing the data. With an account at Loggly, you can now search and import your logs straight from Loggly and have it visualized. Your authorization to the application to access your account at Loggly remains on our end for about a hundred days, beyond which you’ll have to re-authenticate the application again. You can however revoke access to the application anytime. Both of these new additions, require you to specify a parsing scheme which is covered below.

AfterGlow Cloud: Initial release

10 Jul 2012 Surya Nallu afterglow afterglow-cloud data-visualization gsoc

With the marking of the mid-term milestone in GSoC 2012, we’re happy to announce a first version release of AfterGlow Cloud. After a lot of discussions and review the project seems to be in a good position for an initial release. The project in essential is based on AfterGlow [1], a security visualization tool which facilitates generating visual graphs from data you upload. The tool described at [1] is originally command-line based, the aim of this project, in general is to bring this tool and its options to the cloud – so as to provide a neat interface for on-the-fly visualizations.