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DevOps, DevSecOps, AIOPS- Paradigms to IT Operations

机译:devops,devsecops,aiops-paradigms到IT操作

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摘要

DevOps, the widely used buzzword in the software industry, is an umbrella term to describe the technologies and processes used to bring together software development and IT operations to build and deliver software in a repeatable and automated manner. Because of widespread breach of personal and confidential data, the software industry is increasingly taking steps to build security in to the various stages of DevOps lifecycle. This process of integrating security as a key element within the DevOps life cycle is called DevSecOps. Recent advances in artificial intelligence and machine learning techniques can augment DevOps processes by automating the path from development to production, predicting the effects of deployment on production environments, and automatically responding to changes in the environment. This process of incorporating AI in DevOps life cycle is called AIOps. In this paper, the author discusses the recent trends and some challenges in the software industry to incorporate security and artificial intelligence into the various stages of the DevOps life cycle to deliver efficient, reliable, and secured software.
机译:Devops,软件行业中广泛使用的流行语,是一种遵守措施,用于描述用于带来软件开发和IT操作以以可重复和自动的方式构建和交付软件的技术和流程的术语。由于违反个人和机密数据,软件行业越来越多地采取措施,为Devops生命周期的各个阶段构建安全性。将安全性集成为Devops生命周期内的密钥元素的过程称为DevSecops。人工智能和机器学习技术的最新进步可以通过自动化开发到生产的路径来增强Devops流程,预测部署在生产环境中的影响,并自动响应环境的变化。在Devops生命周期中掺入AI的这种过程称为Aiops。本文讨论了近期趋势和软件行业的一些挑战将安全性和人工智能纳入Devops生命周期的各个阶段,以提供高效,可靠和安全的软件。

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