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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 2

Log Management System

Authors

Nakesh Tewari, Kshitij Kumar Yadav, Kunal Dewangan, Manish Singh, Puneet Goyal

Abstract

Server and applications in current IT environments generate a continuous flow of log data, and it can be in volumes that are overwhelming. Dealing with such information manually is not feasible and this creates a need to have a system that would automate and centralize the whole process of log-management. The given project proposes a solution that could help to collect logs of different sources, convert them into a standard format, and store them in a form that will allow one to perform quick search and analysis. With the consolidated platform where all the logs are located, the administrators can monitor the system behavior, any security related activities, and understand general performance easily without the need to jump between various tools or machines. The system gives smart processing techniques, e.g. machine learning models, which can identify unusual patterns, and predict anomalies independently. This enables any impending issues to be caught at the initial stages before it impacts on users. It also features convincingly straightforward dashboards and search solutions that assist the IT groups to maintain a watch on the activity of their systems, identify errors, and trace the problems to their origins in a swift manner. Besides that, there is security and compliance in the construction of the platform. It keeps the log data encrypted and under strict access policies and assists organizations to keep the sensitive data secure and comply with the regulations. This log management is to be scaled and expanded with ease, thus it is suitable for the hybrid cloud infrastructure, classic on-premises infrastructure, and current containerized infrastructure. Its scalable design provides it with the ability to scale to meet a growing workload, as well as to integrate with new technologies as systems change.It reduces the amount of manual work and automates the routine analysis of the logs, enhances the utilization of resources, and accelerates the speed at which a team can respond to incidents. The result is that this project offers an organization with an effective tool that enhances reliability and security and offers more insight into their overall IT environment with the help of efficient management of logs.