CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Implementing an Effective Infrastructure Monitoring Solution with Prometheus and Grafana

by Pragathi B.C., Hrithik Maddirala, Sneha M.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 38
Year of Publication: 2024
Authors: Pragathi B.C., Hrithik Maddirala, Sneha M.
10.5120/ijca2024923873

Pragathi B.C., Hrithik Maddirala, Sneha M. . Implementing an Effective Infrastructure Monitoring Solution with Prometheus and Grafana. International Journal of Computer Applications. 186, 38 ( Sep 2024), 7-15. DOI=10.5120/ijca2024923873

@article{ 10.5120/ijca2024923873,
author = { Pragathi B.C., Hrithik Maddirala, Sneha M. },
title = { Implementing an Effective Infrastructure Monitoring Solution with Prometheus and Grafana },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 38 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 7-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number38/implementing-an-effective-infrastructure-monitoring-solution-with-prometheus-and-grafana/ },
doi = { 10.5120/ijca2024923873 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-27T00:46:06.446706+05:30
%A Pragathi B.C.
%A Hrithik Maddirala
%A Sneha M.
%T Implementing an Effective Infrastructure Monitoring Solution with Prometheus and Grafana
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 38
%P 7-15
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper investigates the implementation of a robust monitoring solution using Prometheus, Grafana, and Node Exporter in a Kubernetes environment. Motivated by the need for real-time insights and proactive management of Kubernetes clusters, the study delves into the cause of infrastructure monitoring challenges and explores the methodology employed to address them. Through a meticulous deployment process, Prometheus, functioning as the central monitoring component, adopts a pull-based approach to collect metrics from Kubernetes nodes and pods. Meanwhile, Grafana complements Prometheus by offering powerful visualization capabilities, facilitating the creation of dynamic dashboards for monitoring system performance and resource utilization. Node Exporter further enhances the monitoring system by providing detailed system metrics, including CPU usage, memory utilization, and disk I/O, at the node level. The integration of these tools enables organizations to gain comprehensive insights into their Kubernetes infrastructure, facilitating timely anomaly detection, efficient resource allocation, and proactive management. The study presents compelling results demonstrating the effectiveness of the monitoring solution in improving infrastructure visibility, enhancing operational efficiency, and ensuring the reliability of Kubernetes deployments.

References
  1. Kim, Dong, et al. "Infrastructure Monitoring: A Comprehensive Survey." IEEE Communications Surveys & Tutorials, vol. 22, no. 1, 2020, pp. 596-632.
  2. Soundararajan, Vijay. "Prometheus: An Open-Source Systems Monitoring and Alerting Toolkit." USENIX ;login:, vol. 41, no. 4, 2016, pp. 27-33.
  3. Torkington, Nathan. "Grafana: The Open Source Dashboarding and Visualization Tool." ;login:, vol. 41, no. 1, 2016, pp. 29-31.
  4. NetData. "NetData: Real-time Performance Monitoring, Done Right!" 2022, https://www.netdata.cloud/.
  5. T. Abirami, S. Mapari, P. Jayadharshini, L. Krishnasamy and R. R. Vigneshwaran, "Streamlined Deployment and Monitoring of Cloud-Native Applications on AWS with Kubernetes Prometheus Grafana," 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India, 2023, pp. 1149-1155, doi:10.1109/ICAICCIT60255.2023.10465818.
  6. T. Abirami, C. Vasuki, P. Jayadharshini and R. R. Vigneshwaran, "Monitoring and Alerting for Horizontal Auto-Scaling Pods in Kubernetes Using Prometheus," 2023 International Conference on Computer Science and Emerging Technologies (CSET), Bangalore, India, 2023, pp. 1-8, doi: 10.1109/CSET58993.2023.10346811.
  7. L. Chen, M. Xian and J. Liu, "Monitoring System of OpenStack Cloud Platform Based on Prometheus," 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL), Chongqing, China, 2020, pp. 206-209, doi: 10.1109/CVIDL51233.2020.0-100.
  8. O. Mart, C. Negru, F. Pop and A. Castiglione, "Observability in Kubernetes Cluster: Automatic Anomalies Detection using Prometheus," 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Yanuca Island, Cuvu, Fiji, 2020, pp. 565-570, doi: 10.1109/HPCC-SmartCity-DSS50907.2020.00071.
  9. M. Yudha Erian Saputra, Noprianto, S. Noor Arief, V. Nur Wijayaningrum and Y. W. Syaifudin, "Real-Time Server Monitoring and Notification System with Prometheus, Grafana, and Telegram Integration," 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 2024, pp. 1808-1813, doi: 10.1109/ICETSIS61505.2024.10459488.
  10. N. Sukhija and E. Bautista, "Towards a Framework for Monitoring and Analyzing High Performance Computing Environments Using Kubernetes and Prometheus," 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation(SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Leicester, UK, 2019, pp. 257-262, doi:10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00087.
  11. A. Di Stefano, A. Di Stefano, G. Morana and D. Zito, "Prometheus and AIOps for the orchestration of Cloud-native applications in Ananke," 2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Bayonne, France, 2021, pp. 27-32, doi: 10.1109/WETICE53228.2021.00017.
  12. V. Sharma, "Managing Multi-Cloud Deployments on Kubernetes with Istio, Prometheus and Grafana," 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2022, pp. 525-529, doi: 10.1109/ICACCS54159.2022.9785124.
  13. A. Mehdi, M. K. Bali, S. I. Abbas and M. Singh, ""Unleashing the Potential of Grafana: A Comprehensive Study on Real-Time Monitoring and Visualization"," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-8, doi: 10.1109/ICCCNT56998.2023.10306699.
  14. I. Siddiqui, A. Pandey, S. Jain, H. Kothadia, R. Agrawal and N. Chankhore, "Comprehensive Monitoring and Observability with Jenkins and Grafana: A Review of Integration Strategies, Best Practices, and Emerging Trends," 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkiye, 2023, pp. 1-5, doi: 10.1109/ISMSIT58785.2023.10304904.
  15. Yajun Liu, Zhitao Yu, Qian Wang, Hong Mei, Guolin Song, Haiou Li, "Research on cloud-native monitoring system based on Prometheus," Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131071B (6 May 2024); https://doi.org/10.1117/12.3029320
  16. K. Trikusuma Dewo, V. Yasin, T. Budiman, A. Zulkarnain Sianipar and A. Budi Yulianto, "IT Infrastructure Dashboard Monitoring Application Development Using Grafana And Promotheus, a Case Study at Astra Polytechnic School," 2023 International Conference of Computer Science and Information Technology (ICOSNIKOM), Binjia, Indonesia, 2023, pp. 1-5, doi: 10.1109/ICoSNIKOM60230.2023.10364485.
  17. S. Kirešová, M. Guzan, B. Fecko, O. Somka, V. Rusyn and R. Yatsiuk, "Grafana as a Visualization Tool for Measurements," 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2023, pp. 1-5, doi: 10.1109/MEES61502.2023.10402486.
  18. B. Manate, F. Fortiş and P. Moore, "Applying the Prometheus Methodology for an Internet of Things Architecture," 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, London, UK, 2014, pp. 435-442, doi: 10.1109/UCC.2014.55.
  19. "Prometheus Documentation," Prometheus, https://prometheus.io/docs/introduction/overview/ [Accessed: 05-06-2024].
  20. "NetData Documentation," NetData, https://learn.netdata.cloud/docs/overview [Accessed: May 05, 2024].
  21. Prometheus graph data,Prometheus Grafana Dashboard: How To Visualize Prometheus Data with Grafana,https://www.openlogic.com/blog/how-visualize-prometheus-data-grafana, Jan 22 ,2019[Accessed: May 05, 2024]
  22. Grafana Dashboard Demo , Overview of the Grafana Dashboard with SQL, https://www.sqlshack.com/overview-of-the-grafana-dashboard-with-sql/ ,June 2 , 2020[Accessed: May 05, 2024].
Index Terms

Computer Science
Information Sciences

Keywords

Prometheus Grafana Node Exporter Kubernetes Monitoring Infrastructure

Powered by PhDFocusTM