1. Kia Manoochehri

2.  Data Analysis  Learn about AWS Struggle to do so  Data Visualization  An exercise in scalability

3.  Do something different.

4.  Original intent: Gather Windows Event Log files Determine when an error would occur Visualize this somehow

5.  Problems: Gather Windows Event Log files  No access to them outside of my own Determine when an error would occur  Easy if I had access to a monumental amount of data Visualize this somehow  Complicated because *what* would I visualize?

6.  Actual design: A Log File (data) Analyzer of a different system Ran through AWS to exploit parallelization of the log files  Exercise in scalability Visualize this data in a “meaningful way”

7.  Came from another project I previously worked on .txt files of varying size  Total Volume of data = 6gb

8.  Show that using AWS can relieve problems More data? Errors? Runtime?  Have a cool visualization tool! Data in an easy to read way.

12.  MATLAB Many pros Many many cons  AWS We weren’t given any other option  Project itself

13.  MATLAB Able to use the “Parallel Computing Toolbox”  Costs $$$ - Need licenses for the cloud Solution?  Be dirty…

14.  AWS Came into this class with 0 cloud experience and knowledge Solution?  Spent more time outside of class learning and reading about the cloud and running an application on AWS than inside of class.

15.  Project itself Multiple aspects to this project  Analyzer (coding)  Running it on AWS (design, choices, and 0 exp)  Visualizing the data (coding and design) On the surface:  Not an impressive use of AWS  Good lesson on Scalability aspect of Cloud Services  Great lesson on Trust/Security of data…

17.  MATLAB on EC2 MATLAB on EC2

19.  Development and Testing: My home desktop and laptop  GIT makes this easy After Toby’s presentation on AWS early in the semester I chose to isolate my development and testing environment (from the cloud).

20.  Scalability: Time and effort saving  Fundamentally, space saving >6gb (6144 MB) of.txt files compressed/converted to 229MB (wow)  Visually pleasing?

21.  AWS Application of some of the topics we discussed First hand account of security issues and reluctance to use the Cloud  Don’t over commit…  I was already addicted to Caffeine.