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Article . 2025
License: CC BY
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Article . 2025 . Peer-reviewed
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Article . 2025 . Peer-reviewed
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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The Ephemeral DevOps Pipeline: Building for Self-Destruction (A ChaosSecOps Approach)

Authors: Mahimalur, Ramesh Krishna;

The Ephemeral DevOps Pipeline: Building for Self-Destruction (A ChaosSecOps Approach)

Abstract

This paper introduces "Ephemeral DevOps," a novel approach to infrastructure and pipeline management based on the principle of planned self-destruction and continuous recreation. By embracing impermanence, this ChaosSecOps-driven methodology forces extreme automation, enhances resilience, proactively mitigates security vulnerabilities, and fosters a culture of continuous improvement. This paper presents a comprehensive guide to implementing Ephemeral DevOps, including architectural diagrams, practical code examples (Terraform, AWS Lambda, Jenkins), and a detailed real-world case study demonstrating its application in a highly available, secure e-commerce platform on AWS. This paradigm shift offers significant advantages over traditional, long-lived infrastructure, enabling faster deployments, improved security posture, and greater agility in the face of evolving threats.

Keywords

Immutable Infrastructure, Disaster Recovery, ChaosSecOps, DevSecOps, DevOps Transformation, Ephemeral DevOps, Automated Destruction, Self-Destructing Pipeline, Proactive Security

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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