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Development of a System for Collecting Unstructured Logs

Student: Konstantinov Andrey

Supervisor: Tamara Voznesenskaya

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2024

Nowadays, event logs are a very valuable resource for analysing and improving systems. But because modern software systems generate logs in huge volumes, it is impossible to analyse them manually. Therefore, the first step in analysing logs is to parse them into a structured form. Although parsing and analysing unstructured event logs is a popular topic recently, users have a wide range of algorithms for parsing, but relatively few complete log parsing solutions. In this paper, we use open source solutions to deliver unstructured logs and provide the user with the flexibility to customise the parsing with support for a popular telemetry data standard. The result is an open source system for collecting unstructured logs.

Full text (added May 20, 2024)

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