Streamlining Windows Endpoint Management: Automating Software Deployment with Gorilla

Abstract

This article examines the adaptation of Gorilla, an open-source tool, as a novel framework for Windows endpoint management in enterprise environments. Gorilla’s declarative configuration model introduces policy-driven automation that simplifies package deployment, enforces software version consistency, and strengthens organizational security posture. By leveraging JSON-based configuration files and lightweight client-server architecture, Gorilla reduces administrative overhead, accelerates patching cycles, and minimizes configuration drift. The findings highlight Gorilla’s operational advantages compared to traditional solutions like Microsoft SCCM or WinGet, including reduced patching timelines, improved audit readiness, and measurable cost savings. Results are validated against industry benchmarks, such as Microsoft’s findings that unified endpoint management reduces support tickets by 20–40% and provisioning times by ~25% [1], and Forrester’s evidence that Zero Trust architectures cut security incident containment times by 40–50% [2]. This work demonstrates Gorilla’s potential as both a practical enterprise tool and a scholarly contribution to the study of scalable endpoint automation.