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 | An Automated and Scalable Server Health Monitoring System |
|---|---|
| ABSTRACT | Automation is critical for keeping system stability and performance across vast networks and server infrastructures in today's IT environments. Manual monitoring of server resources (CPU, memory, disk usage etc.) is time consuming and prone to human errors. In order to relief these issues, this project aims to implement an automated System Health Monitoring framework with Python, Prometheus and Grafana. An automation script implemented in Python connects via SSH to multiple servers, gathers live system metrics, parses them, and exposes them to Prometheus for continuous monitoring. These metrics are visualized and explored via Grafana, which gives the systems team immediate insight into how well the system is performing as well as what resources are being consumed. It helps in early failure detection, helps with operational efficiency & reduces manual monitoring tasks. Such an automation approach incorporates high reliability, scalability and improved visibility across multi-vendor environments (Linux, AIX and Solaris servers). |
| AUTHOR | DR. THILAGAVATHY A, KOYI VISHNU VARDHAN REDDY, MANNEPALLI SASI KUMAR, MOSES PRANEETH RAJ Associate Professor, Department of Science and Engineering, R.M.K. Engineering College, Chennai, Tamil Nadu, India UG Students, Department of Science and Engineering, R.M.K. Engineering College, Chennai, Tamil Nadu, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403072 |
| pdf/72_An Automated and Scalable Server Health Monitoring System.pdf | |
| KEYWORDS | |
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