AI-Powered Server Log Management for Automated Error Resolution

Abstract

Modern technology environments generate vast amounts of server logs, each potentially containing critical information about system errors. Traditional methods of resolving these errors typically involve time-consuming manual searches across multiple platforms—ranging from search engines like Google and Bing to various online forums—in hopes of finding the correct solution. This process often proves inefficient, as users must sift through extensive search results and compare inconsistent or irrelevant information, risking further errors and delays.