International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | A Review on Network Automation using Python for Large-Scale Enterprise Environments |
|---|---|
| ABSTRACT | Network automation has emerged as a critical requirement in modern enterprise infrastructures due to the increasing complexity, scale, and dynamism of network operations. Manual configuration methods are error-prone, time-consuming, and unsuitable for real-time adaptation. Python, with its extensive libraries and vendor-agnostic frameworks, has become the de facto programming language for automating routers, switches, and network monitoring tasks. This review analyses the evolution of network automation, Python-based tools such as Netmiko, Paramiko, NAPALM, and Ansible, and their role in improving configuration consistency, reducing human errors, and enhancing operational efficiency. The paper highlights existing challenges, emerging trends, and research opportunities in large-scale enterprise network automation. |
| AUTHOR | ATHARVA NACHANE, PRACHI PARSHURAMKAR, SIDDHARTH KARDILE, MANAS MOHITE, PROF. SACHIN SHINDE Students, Dept. of Computer Engineering, G H Raisoni International Skill Tech University, Pune, India Professor, Dept. of Computer Engineering, G H Raisoni International Skill Tech University, Pune, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312017 |
| pdf/17_A Review on Network Automation using Python for Large-Scale Enterprise Environments.pdf | |
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