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WHDL - 00016165
Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science
Large Enterprises like Hewlett Packard Enterprise currently have a very large amount of data logs that they receive every second. It is helpful to be able to analyze this log data at times that disk drive failures may occur. Although there is a lot of useful information that can help pin down a reason for failure, there is also a lot of unnecessary and repeated log data mixed in that is needed to be parsed through to find this helpful data. Currently, all this data is being found and shown to suppliers and customers of Hewlett Packard Enterprise by hand. Large enterprises often need to quickly parse and analyze log messages to determine whether specific hard drive errors have occurred to reduce malfunctions. To provide better analysis of log entries, we created a data analysis tool intended to allow for automated processing of drive logs. This tool parses and tokenizes log messages to allow for future analysis. Overall, this tool has greatly reduced employee error and work time. With just a few more steps, the tool will soon be completed to its full potential to help those at Hewlett Packard Enterprise analyze log data in a timely and efficient manner.
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