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Cognitive Platform Engineering for Autonomous Cloud Operations

by Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti, Nachiappan Chockalingam, Aswathnarayan Muthukrishnan Kirubakaran, Shiva Kumar Reddy Carimireddy, Durgaraman Maruthavanan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 72
Year of Publication: 2026
Authors: Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti, Nachiappan Chockalingam, Aswathnarayan Muthukrishnan Kirubakaran, Shiva Kumar Reddy Carimireddy, Durgaraman Maruthavanan
10.5120/ijca2026926213

Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti, Nachiappan Chockalingam, Aswathnarayan Muthukrishnan Kirubakaran, Shiva Kumar Reddy Carimireddy, Durgaraman Maruthavanan . Cognitive Platform Engineering for Autonomous Cloud Operations. International Journal of Computer Applications. 187, 72 ( Jan 2026), 17-23. DOI=10.5120/ijca2026926213

@article{ 10.5120/ijca2026926213,
author = { Vinoth Punniyamoorthy, Nitin Saksena, Srivenkateswara Reddy Sankiti, Nachiappan Chockalingam, Aswathnarayan Muthukrishnan Kirubakaran, Shiva Kumar Reddy Carimireddy, Durgaraman Maruthavanan },
title = { Cognitive Platform Engineering for Autonomous Cloud Operations },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2026 },
volume = { 187 },
number = { 72 },
month = { Jan },
year = { 2026 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number72/cognitive-platform-engineering-for-autonomous-cloud-operations/ },
doi = { 10.5120/ijca2026926213 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-01-20T22:56:13.196877+05:30
%A Vinoth Punniyamoorthy
%A Nitin Saksena
%A Srivenkateswara Reddy Sankiti
%A Nachiappan Chockalingam
%A Aswathnarayan Muthukrishnan Kirubakaran
%A Shiva Kumar Reddy Carimireddy
%A Durgaraman Maruthavanan
%T Cognitive Platform Engineering for Autonomous Cloud Operations
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 72
%P 17-23
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling, but these approaches struggle to keep pace with the scale and dynamism of cloud-native systems. As telemetry volume grows and configuration drift increases, traditional, rule-driven automation often results in reactive operations, delayed remediation, and dependency on manual expertise. This paper introduces Cognitive Platform Engineering, a next-generation paradigm that integrates sensing, reasoning, and autonomous action directly into the platform lifecycle. This paper propose a four-plane reference architecture that unifies data collection, intelligent inference, policy-driven orchestration, and human experience layers within a continuous feedback loop. A prototype implementation built with Kubernetes, Terraform, Open Policy Agent, and ML-based anomaly detection demonstrates improvements in mean time to resolution, resource efficiency, and compliance. The results show that embedding intelligence into platform operations enables resilient, self-adjusting, and intent-aligned cloud environments. The paper concludes with research opportunities in reinforcement learning, explainable governance, and sustainable self-managing cloud ecosystems.

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Index Terms

Computer Science
Information Sciences

Keywords

DevOps Cognitive Platform Engineering AIOps Cloud Automation Kubernetes Terraform Platform Engineering Self-Healing Systems Intelligent Operations

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