Intelligent Automation in Cloud Infrastructure: From IaC to Self-Healing Systems
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902236225863680 |
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| author | Yalate, Arunkumarreddy |
| author_facet | Yalate, Arunkumarreddy |
| contents | <p>This article examines the transformative evolution of cloud infrastructure automation, tracing its journey from manual management practices to sophisticated self-healing systems. The article explores how Infrastructure as Code has matured beyond static provisioning into dynamic, policy-driven environments capable of continuous assessment and autonomous remediation. The article reveals how organizations leverage foundational technologies like Terraform, AWS CloudFormation, and programmatic approaches through SDKs to establish consistent infrastructure provisioning while implementing advanced policy frameworks to ensure continuous compliance. The article demonstrates how comprehensive observability serves as the critical foundation for automation, with log aggregation, metrics analysis, and distributed tracing feeding sophisticated AI/ML systems that can detect anomalies, predict failures, and implement remediation without human intervention. Through detailed case studies and architectural frameworks, the article illustrates how leading organizations implement event-driven remediation workflows for common scenarios like IAM compliance and security group drift. The article concludes by examining the organizational implications of this transformation, including skills requirements and implementation strategies, while forecasting future directions in autonomous infrastructure management that will fundamentally reshape how organizations approach cloud operations. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17318846 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Intelligent Automation in Cloud Infrastructure: From IaC to Self-Healing Systems Yalate, Arunkumarreddy Self-Healing Infrastructure Policy-Driven Automation Infrastructure as Code (Iac) Intelligent Remediation Cloud Observability <p>This article examines the transformative evolution of cloud infrastructure automation, tracing its journey from manual management practices to sophisticated self-healing systems. The article explores how Infrastructure as Code has matured beyond static provisioning into dynamic, policy-driven environments capable of continuous assessment and autonomous remediation. The article reveals how organizations leverage foundational technologies like Terraform, AWS CloudFormation, and programmatic approaches through SDKs to establish consistent infrastructure provisioning while implementing advanced policy frameworks to ensure continuous compliance. The article demonstrates how comprehensive observability serves as the critical foundation for automation, with log aggregation, metrics analysis, and distributed tracing feeding sophisticated AI/ML systems that can detect anomalies, predict failures, and implement remediation without human intervention. Through detailed case studies and architectural frameworks, the article illustrates how leading organizations implement event-driven remediation workflows for common scenarios like IAM compliance and security group drift. The article concludes by examining the organizational implications of this transformation, including skills requirements and implementation strategies, while forecasting future directions in autonomous infrastructure management that will fundamentally reshape how organizations approach cloud operations. </p> |
| title | Intelligent Automation in Cloud Infrastructure: From IaC to Self-Healing Systems |
| topic | Self-Healing Infrastructure Policy-Driven Automation Infrastructure as Code (Iac) Intelligent Remediation Cloud Observability |
| url | https://doi.org/10.5281/zenodo.17318846 |