Log as a Service Feasibility Research

• Main Authors: Che-Yu Chang, 張喆宇
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/34331366895883001074

碩士 === 大同大學 === 資訊工程學系(所) === 104 === With the evolution of Big Data technology is more widely used, enterprise management software systems are increasingly dependent on the rear end of the log file. How to effectively engage in the development of software testing and system maintenance has become an important issue. This paper will use the conceptual framework log management system, broken down into mass data analysis, storage, search three parts, and use open source software to verify the application of the results. After similar reference software architecture, we use Fluentd, Elasticsearch, and Kibana log management system to achieve the implementation of this framework. This paper will use Fluentd to do format analysis for different software’s log file, and then use Elasticsearch to translate the data into NoSQL and stored in a decentralized management system, finally use Kibana to do data parsing and patterning. In the implementation of the verification, we use Selenium and Jmeter two software product development software for the test results. During the testing process, Selenium is used to record the operation process, and to carry repeated stress software testing. And then use Jmeter analyzing step to control the number of users and content. After the results of log management system through analytical testing, it will interpret the results of the development of the software, and it is also able to efficiently control.