Results of the Backup Metadata Analyzer Project (Video and Report, AMOS Winter 2024/25)
This project is one of the Scrum projects with industry partners that were part of the AMOS Winter 2024/25 Projects. Below please find the video (you may also like the other videos) and the project summary which details the final result of the project. We run these projects every semester, so please be in touch if you would like to motivate one of your own!
Demo Video
Project Summary
| Project Name | Backup Metadata Analyzer |
| Project Mission | This project aims to explore which data analysis methods are applicable to the backup metadata, which is generated by the industry partner´s backup software “SESAM”. Furthermore, the results of the analysis are condensed into insights and displayed with graphs and alerts. This will help the customer to better understand their backup data and focus on the important takeaways. |
| Industry Partner | SEP GmbH |
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| Project Summary | The Backup Metadata Analyzer is a project that gives IT admin Joe valuable insights into his backup history. Various methods are employed to scan recent backup metadata, including machine learning algorithms such as rule-based analysis and time series analysis. This grants Joe user-friendly access to powerful anomaly detection, while the integrated alert and notification system ensures that he can quickly identify important events and potential issues. The tool can detect a variety of events, such as when a backup has changed dramatically in size, is missing, was created unexpectedly, or was made at the wrong time. Additionally, it can notify Joe when storage is about to run out of space. The project consists of three components: a Python Analyzer module, a TypeScript Nest JS backend, and a TypeScript Angular frontend. The components are built with state-of-the-art, future-oriented technologies, are containerizeable, and communicate via REST APIs. |
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| Project Repository | https://github.com/amosproj/amos2024ws02-backup-metadata-analyzer |