AI-enabled Application Performance Monitoring (APM)

Vasudevan Senathi Ramdoss

doi:10.30574/ijsra.2022.7.1.0240

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AI-enabled Application Performance Monitoring (APM)

Vasudevan Senathi Ramdoss ^*

Sr Performance Engineer in Financial Investment Sector, McKinney, Texas, USA.

Review Article

International Journal of Science and Research Archive, 2022, 07(01), 542-544.
Article DOI: 10.30574/ijsra.2022.7.1.0240
DOI url: https://doi.org/10.30574/ijsra.2022.7.1.0240

Publication history

Received on 25 September 2022; revised on 25 October 2022; accepted on 28 October 2022

Abstract

Artificial Intelligence (AI) enhances Application Performance Monitoring (APM) by automating performance metric analysis, detecting abnormalities, and identifying root causes. This paper highlights key capabilities of AI-enabled APM tools, such as Dynatrace, New Relic, and Splunk APM, including predictive maintenance, anomaly detection, and user experience optimization, emphasizing their impact on modern application management. The integration of AI in APM systems has redefined application management processes by providing actionable insights, enhancing scalability, and ensuring uninterrupted service delivery. Additionally, this paper explores the emerging trends in AI-powered APM and how they can reshape future technologies.

Keywords

Application Performance Monitoring (APM); Artificial Intelligence (AI); Predictive maintenance; anomaly detection; User experience optimization; Dynatrace; Splunk APM; New Relic; Datadog

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How to cite this article

Vasudevan Senathi Ramdoss. AI-enabled Application Performance Monitoring (APM). International Journal of Science and Research Archive, 2022, 07(01), 542-544. Article DOI: https://doi.org/10.30574/ijsra.2022.7.1.0240

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