AI AND OBSERVABILITY: THE INDISPENSABLE ROLE OF OBSERVABILITY AND ARTIFICIAL INTELLIGENCE IN MANAGING MODERN IT ENVIRONMENTS
Keywords:
Observability, Artificial Intelligence (AI), Information Technology (IT), System Monitoring, IT EnvironmentsAbstract
This paper explores the increasingly crucial roles of observability and artificial intelligence (AI) in the effective management of contemporary Information Technology (IT) environments. With the rapid evolution of IT infrastructure into more complex, dynamic systems, traditional monitoring tools and methodologies have become inadequate. Through an in-depth analysis of current practices, a comprehensive literature review, and examination of the synergies between observability and AI, this paper underscores the transformative potential these technologies hold for enhancing system monitoring, troubleshooting, and optimization. The research aims to elucidate how integrations of AI with observability can yield improved system reliability, efficiency, and foreseeability, thereby meeting the advanced needs of modern IT management.
References
"Site Reliability Engineering: How Google Runs Production Systems" by Niall Richard Murphy, Betsy Beyer, Chris Jones, and Jennifer Petoff. This book provides insights into managing complex systems and could be foundational for understanding observability in a large-scale IT environment.
"Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell. Offers a comprehensive overview of AI, its developments, and its applications, relevant for understanding its integration with observability.
Academic Journals:
"Journal of Network and Computer Applications," where several papers discuss the technical aspects and advancements in AI and system monitoring.
"IEEE Transactions on Network and Service Management," offering insights into the practical applications and challenges of deploying observability and AI solutions in IT settings.
Online Sources:
"The State of Observability 2023," a report by The New Stack, provides up-to-date insights into how
observability practices are evolving within the tech industry.
"AI in IT Operations: From Machine Learning Models to Software Production" on ACM Digital Library, discusses the implementation and outcomes of AI-driven operations in IT environments.
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Copyright (c) 2024 Sreenivasulu PurinI (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
