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Secure and Cost-Optimized DevOps in the Cloud Framework for Automation, Monitoring, and Compliance

Authors: Vidyasagar, Vangala;

Secure and Cost-Optimized DevOps in the Cloud Framework for Automation, Monitoring, and Compliance

Abstract

Cloud adoption speedup requires businesses to make DevOps practices secure and cost-effective and compliant across all operations. This article provides an all-inclusive framework which establishes Secure and Cost-Optimized DevOps deployment in the Cloud while monitoring automation together with regulatory compliance and cost optimization. The analysis investigates the combination of security controls with CI/CD pipelines through DevSecOps and uses Infrastructure as Code (IaC) for standardized cloud deployments and includes third-party and cloud-native tools for policy enforcement and cost management. The article presents DevOps decision making best practices for agile governance balance by analyzing real-world implementation case studies and performance metrics through a mixed research approach. The framework develops threat detection systems beforehand while using AWS CloudWatch alongside Azure Monitor and GCP Operations Suite for scaling monitoring capabilities for businesses to achieve cost optimization by implementing smart resource allocation methods which reduce waste. Research findings expand the existing knowledge that helps DevOps teams and cloud architects merge their work with compliance officers to create robust software delivery solutions in elastic cloud infrastructure systems.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green