Batch vs PowerShell : Automating IT Support Tasks

Abstract

This thesis presents a comparative study of Batch scripting and PowerShell for automating common IT support and system administration tasks in a Windows Server environment. Automation has become an essential part of modern IT operations because it improves efficiency, reduces repetitive manual work, minimizes human error, and enhances system management capabilities. While both Batch Scripting and PowerShell are widely used for Windows automation, limited practical research has been done to compare their performance and usability in real-world administrative tasks.

The objective of this research was to evaluate the strengths and limitations of Batch scripting and PowerShell by implementing equivalent automation tasks using both technologies. The selected tasks included log file clean-up, disk space monitoring, recycle bin cleanup, temporary folder cleanup, and disk optimization analysis. The scripts were tested in a controlled environment on a Windows Server 2022 virtual machine that was configured using VMware vSphere.

The evaluation focused on several criteria including processing speed, error handling, output quality, usability, maintainability and scalability. The results demonstrated that PowerShell generally provides better performance, advanced error handling, structured reporting and greater scalability for enterprise-level administration tasks.

PowerShell also showed significant advantages in handling large datasets, multiple drives, and detailed reporting through its object-oriented architecture and built -in administrative cmdlets.

However, Batch scripting performed efficiently for simpler and lightweight tasks where minimal reporting and limited functionality were required. Batch scripts were easier for basic automation, but became difficult to maintain and scale as task complexity increased.

The findings of this thesis indicate that Batch scripting remains useful for simple local automation tasks, whereas PowerShell is a more suitable solution for modern IT infrastructure, enterprise system administration, and large-scale automation requirements. The research provides practical guidance for IT professionals in selecting the appropriate scripting technology based on operational needs and system complexity.