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Original Article
Enhancing Enterprise Alert Management Systems: Performance Tuning and Cloud-Ready Integration for Digital Communication
Murugan Ambalakannu1
1 Director Consulting Services, CGI, USA.
Published Online: January-April 2026
Pages: 608-615
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501072
References
1. P. K. R. Gujjala, “Advancing artificial intelligence and data science: A comprehensive framework for computational efficiency and scalability,” International Journal of Research in Computer Applications and Information Technology, vol. 6, pp. 155–166, 2023, doi: 10.34218/IJRCAIT_06_01_012.
2. S. Pendyala, “Cloud-driven data engineering: Multi-layered architecture for semantic interoperability in healthcare,” Journal of Business Intelligence and Data Analytics, vol. 1, no. 1, pp. 1–14, 2023, doi: 10.55124/jbid.v1i1.244.
3. Amazon Web Services, “Guidance for network monitoring and alerting automation on AWS,” GitHub, 2022.
4. T. Yates, “Centralizing CloudWatch alarms across AWS accounts,” AWS Blogs, 2021.
5. V. Jain et al., “A high-availability multi-region cloud monitoring implementation,” ACM SIGOPS, 2022.
6. Splunk Inc., “Integrating AWS CloudWatch and Splunk for cloud alerting,” Splunk Documentation, 2023.
7. New Relic, “Enterprise cloud monitoring with AWS integration,” New Relic Docs, 2021.
8. Microsoft Docs, “Centralized monitoring by using Amazon CloudWatch observability,” Microsoft Learn, 2022.
9. R. Menon and N. Trettel, “Implementing multi-region centralized alerting on AWS,” AWS Blog, 2023.
10. R. Gupta, “Distributed system metrics and alert correlation in hybrid clouds,” IEEE Cloud, 2020.
11. S. Becker, “High availability for monitoring and alerting systems in cloud environments,” Cloud Computing Review, 2022.
12. M. Waseem, “Design, monitoring, and testing of microservices systems: The practitioners’ perspective,” Journal of Systems and Software, vol. 182, 2021.
13. C. Carrión, “Kubernetes scheduling: Taxonomy, ongoing issues and challenges,” ACM Computing Surveys, vol. 55, no. 7, 2022.
14. T. Theodoropoulos, “Security in cloud-native services: A survey,” Journal of Cybersecurity and Privacy, vol. 3, no. 4, pp. 758–793, 2023.
15. L. Toka, “Predicting cloud-native application failures based on monitoring data of cloud infrastructure,” in Proc. IM 2021 – IFIP/IEEE International Symposium on Integrated Network Management, 2021, pp. 842–847.
2. S. Pendyala, “Cloud-driven data engineering: Multi-layered architecture for semantic interoperability in healthcare,” Journal of Business Intelligence and Data Analytics, vol. 1, no. 1, pp. 1–14, 2023, doi: 10.55124/jbid.v1i1.244.
3. Amazon Web Services, “Guidance for network monitoring and alerting automation on AWS,” GitHub, 2022.
4. T. Yates, “Centralizing CloudWatch alarms across AWS accounts,” AWS Blogs, 2021.
5. V. Jain et al., “A high-availability multi-region cloud monitoring implementation,” ACM SIGOPS, 2022.
6. Splunk Inc., “Integrating AWS CloudWatch and Splunk for cloud alerting,” Splunk Documentation, 2023.
7. New Relic, “Enterprise cloud monitoring with AWS integration,” New Relic Docs, 2021.
8. Microsoft Docs, “Centralized monitoring by using Amazon CloudWatch observability,” Microsoft Learn, 2022.
9. R. Menon and N. Trettel, “Implementing multi-region centralized alerting on AWS,” AWS Blog, 2023.
10. R. Gupta, “Distributed system metrics and alert correlation in hybrid clouds,” IEEE Cloud, 2020.
11. S. Becker, “High availability for monitoring and alerting systems in cloud environments,” Cloud Computing Review, 2022.
12. M. Waseem, “Design, monitoring, and testing of microservices systems: The practitioners’ perspective,” Journal of Systems and Software, vol. 182, 2021.
13. C. Carrión, “Kubernetes scheduling: Taxonomy, ongoing issues and challenges,” ACM Computing Surveys, vol. 55, no. 7, 2022.
14. T. Theodoropoulos, “Security in cloud-native services: A survey,” Journal of Cybersecurity and Privacy, vol. 3, no. 4, pp. 758–793, 2023.
15. L. Toka, “Predicting cloud-native application failures based on monitoring data of cloud infrastructure,” in Proc. IM 2021 – IFIP/IEEE International Symposium on Integrated Network Management, 2021, pp. 842–847.
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